LocalSend Summary

LocalSend is a free, open-source app that lets you securely share files and messages with nearby devices over your local network without needing the internet.

Key Features:

• Cross-Platform: Works on Android, iOS, macOS, Windows, and Linux.
• No Internet Required: Communicates directly between devices, making it fast and reliable.
• Secure Communication: Uses HTTPS encryption for safe data transfer.

Getting Started:

• Download LocalSend from app stores or package managers, as it does not auto-update.
• Ensure your firewall allows LocalSend to communicate over the local network.

Compatibility:

• Works on various operating systems with specific minimum version requirements.

Contributing:

• You can help by translating the app, fixing bugs, or suggesting improvements.

Troubleshooting:

• Common issues include device visibility and slow speeds, often fixable by adjusting router settings or network configurations.

For more details, visit the LocalSend documentation or community resources.

A new project has successfully created a version of the classic game DOOM that can run within AI platforms like ChatGPT and Claude. This project, developed by MCP, allows users to play DOOM either inline in compatible applications or through a regular web browser when inline isn't supported.

Key points of the project include:

1. MCP Apps: These are interactive applications that can run in AI clients, providing a seamless gaming experience.

2. Simple Architecture: The setup consists of a small server that handles DOOM sessions, a web-based DOOM shell, and a secure token system for launching the game.

3. Browser Integration: The browser component uses existing technology to run DOOM without needing to create a new game engine. It has a dedicated URL for launching the game.

4. Session Management: A self-contained session model was designed, where a single token can start the game without needing persistent server storage.

5. Inline Rendering: The app was redesigned to run the DOOM canvas directly in the host environment, which simplified many technical challenges related to browser security.

6. Deployment: The project is hosted on Netlify, with clean URL paths for easy access to the game.

7. User Experience: The process is straightforward: users request DOOM, a session is created, and the game launches inline or provides a URL if inline isn't possible.

Overall, the project is a successful integration of a classic game into modern AI platforms, showcasing the potential of MCP apps while maintaining a playful and user-friendly experience.

VibeVoice: Open-Source Voice AI Models

Key Updates:

• March 2026: VibeVoice ASR can now be used with Hugging Face Transformers for easy integration.
• January 2026: VibeVoice-ASR, a speech-to-text model, is open-sourced. It transcribes up to 60 minutes of audio in one go, providing detailed outputs about speakers, timestamps, and content. It supports over 50 languages and allows for user-defined context.
• December 2025: Introduced experimental multilingual voices in VibeVoice-Realtime-0.5B and open-sourced this real-time text-to-speech model.

Overview: VibeVoice is a collection of open-source models for speech recognition and synthesis, utilizing advanced techniques for efficient processing and high-quality output.

Models:

1. VibeVoice-ASR: A long-form speech recognition model that processes 60 minutes of audio in one pass, providing structured transcriptions.
2. VibeVoice-TTS: A text-to-speech model that generates up to 90 minutes of conversational audio with multiple speakers.
3. VibeVoice-Realtime: A lightweight model for real-time text-to-speech with low latency and streaming capabilities.

Contributions and Caution:

• Contributions are welcome, but users should be aware of potential biases and inaccuracies in the model outputs.
• There are risks of misuse for creating deepfakes or misinformation, so responsible usage is crucial. The models are intended for research, not for commercial use without further development.

Wiz Research found a serious security flaw (CVE-2026-3854) in GitHub's internal systems that could allow any authenticated user to run commands on GitHub's servers just by pushing code. This vulnerability affects both GitHub.com and GitHub Enterprise Server. It was identified using AI tools, marking a new way to discover such issues in closed-source software.

Key points:

• The flaw allows remote code execution on GitHub's servers, meaning attackers could access millions of repositories.
• GitHub quickly fixed the issue on GitHub.com within 6 hours and released patches for GitHub Enterprise Server.
• Users of GitHub Enterprise Server are urged to upgrade immediately, as many instances remain vulnerable.
• The flaw was rooted in how GitHub processes user input through internal protocols, allowing attackers to inject malicious commands.
• This incident highlights the importance of securing multi-service architectures and properly managing user input.

In summary, a single command could exploit a weakness in GitHub's infrastructure, leading to significant security risks. GitHub has acted swiftly to address the vulnerability, but users must take steps to protect their systems.

AISLE has identified 38 security vulnerabilities (CVEs) in the OpenEMR healthcare software, which is widely used by over 100,000 medical providers. This software is crucial as it manages sensitive patient data for millions of people. The vulnerabilities, discovered in early 2026, include serious issues like SQL injection, improper authorization, and cross-site scripting, which could potentially allow attackers to access or manipulate sensitive information.

Key findings include:

• SQL Injection Vulnerabilities: These flaws allow attackers to execute harmful SQL commands, potentially leading to data breaches or server control.
• Authorization Issues: Many endpoints did not properly verify if users had permission to access specific patient records, leading to potential unauthorized access.
• Cross-Site Scripting: This vulnerability allows attackers to inject malicious code that runs in another user’s browser session, which could compromise their security.

AISLE's AI-powered analysis found more vulnerabilities in one quarter than a previous audit did in years. The OpenEMR team worked quickly with AISLE to fix these issues, with patches released shortly after the vulnerabilities were disclosed.

Overall, the partnership between AISLE and OpenEMR aims to enhance security in healthcare software, addressing vulnerabilities swiftly and preventing future risks.

The author has officially retired from using Emacs after 20 years, recently switching to Vim and modal editing. They have replaced their last two Emacs applications, the calculator and Elfeed, with new C++ versions that work well on multiple platforms. They are looking for new maintainers for several active packages they developed, emphasizing the need for contributors with a proven track record.

The author finds the Emacs Calculator exceptional but created a faster clone for personal use, acknowledging it lacks some advanced features. Elfeed, a significant part of their routine for 13 years, has been rewritten as Elfeed2, which is already operational.

For GUI projects, the author chose wxWidgets over Dear ImGui due to its suitability for applications that run continuously. They appreciate wxWidgets for its ease of use across different operating systems and plan to use it for future projects, having learned its strengths and limitations.

Overall, the author's transition marks the end of their Emacs journey while opening a new chapter in software development with C++ and wxWidgets.

Summary:

The text announces the release of two new AI models from the Laguna family: Laguna M.1 and Laguna XS.2.

• Laguna M.1 is a large model, completing pre-training last year, with 225 billion parameters, designed for high-security environments. It serves as the basis for future developments.
• Laguna XS.2 is smaller, with 33 billion parameters, but highly capable and is the first model released with open weights under an Apache 2.0 license. Both models are currently available for free through an API and OpenRouter.

These models are designed for coding tasks and aim to enable agents to perform complex, long-term actions by writing and executing code, moving beyond traditional tool-based interactions.

The development involved about 60 researchers and utilized NVIDIA hardware for training. The models were trained on over 30 trillion tokens, using a mix of real and synthetic data to enhance quality and diversity.

The AI models are part of an ongoing effort to provide robust tools for the public sector and beyond, with a focus on community collaboration for further innovation. Free access to the models and support for users building on them is also offered.

The Sun is a ball of hot gas, and NASA's SDO captures images of it every 12 seconds in 12 different wavelengths. These wavelengths show various layers of activity on the Sun, from its surface temperature of 5,000 K to the hotter plasma during flares at 10 million K.

AI coding tools like Claude Code, Cursor, and Codex can generate code that may not be copyrightable, belong to your employer, or be affected by unseen open-source licenses. If you're using AI-generated code, it's important to understand the legal implications.

Key points to consider include:

1. Copyright Ownership: Copyright only protects works created by humans. If AI-generated code lacks meaningful human authorship—creative decisions made by a person—it may not be copyrightable. The distinction between code you significantly modify and code you accept as-is is crucial.

2. Employment Contracts: Most employment contracts stipulate that any work created during employment belongs to the employer. If you used AI tools at work, the employer could claim ownership of that code, even if developed outside of work hours.

3. Open Source Contamination: AI tools are trained on publicly available code, which may include open-source code with strict licensing. If your AI-generated code resembles this, you might unknowingly create legal obligations to release your own code under the same license.

4. Practical Steps:

   • Run a License Scan: Use tools to check your code for any open-source licenses to avoid legal issues.
   • Document Contributions: Keep records of your creative input to support claims of authorship.
   • Review Your Employment Contract: Understand what your employer claims ownership of regarding AI-assisted work.
   • Check AI Tool Plans: Make sure you are using the appropriate plan for commercial use to ensure proper IP rights and protections.

Overall, being proactive about documenting your work and understanding both copyright and employment laws is essential when using AI coding tools.

Waymo is launching its services in Portland, a city known for its innovative and sustainable living. They are collaborating with local officials and community partners to prepare for the rollout of their autonomous vehicles. Starting today, Waymo will manually drive its vehicles around Portland to adapt to the city's unique streets.

The aim is to provide safe and reliable transportation for residents and visitors. Portland's Mayor, Keith Wilson, emphasized the importance of using autonomous technology to enhance road safety and achieve the city's Vision Zero goal of eliminating traffic fatalities. Waymo's technology has already shown a significant reduction in serious injury crashes in other cities.

The organization MADD also supports Waymo's arrival, noting that autonomous vehicles can help prevent impaired driving. Waymo encourages people to sign up for updates to be among the first to experience their service in Portland.

Job Summary: Full Stack Engineer at Infisical

• Company Overview: Infisical is an open-source security platform focused on managing secrets, certificates, and privileged access. They handle over 1.5 billion secrets monthly and have notable clients like Hugging Face and LG.

• Position: Full Stack Engineer (Remote, Americas)

• Salary: $100K - $180K, plus equity (0.05% - 0.25%)

• Role Responsibilities:

  • Build and enhance the platform's foundation.
  • Work on projects like secret rotation strategies, secure resource access, and product lines such as Infisical PKI and SSH.
  • Collaborate with the CTO and engineering team to develop features and engage with enterprise customers.

• Requirements:

  • Strong skills in JavaScript, specifically React.js, Node.js, and TypeScript.
  • Attention to detail and a proactive mindset.
  • Must be based in the Americas (US, Canada, or LATAM).

• Preferred Qualifications:

  • Experience with Go and devops tools.
  • Startup or open-source experience.
  • Strong communication skills for customer interaction.

• Growth Opportunities: The role offers significant influence in shaping the company's future, allowing for ownership of projects and technical decision-making.

• Team and Culture: The team comprises experienced professionals from companies like Figma and AWS. Infisical promotes remote work but also organizes in-person events.

• Benefits: Competitive pay, equity options, lunch stipends, and a budget for work setup.

• Mission: Join Infisical's mission to simplify security for developers, starting with secrets management.

Interested candidates are encouraged to apply through Infisical's careers page.

The text discusses a potential issue with how patches are handled in GitHub and GNU patch. When you download a patch from GitHub, it includes a real change and a fake change (called a "phantom patch") in the commit message.

Key points include:

• Phantom Patch: The phantom patch is a fake diff included in the commit message that can be applied like a real patch, even though it's not part of the actual commit.

• Demo Example: The author provides an example where a patch changes the readme.md file but also includes a fake change for a file that shouldn't exist.

• Patch Application: Using wget to download the patch and applying it with patch results in both files being patched, including the non-existent file.

• Possible Issue: The author is unsure if the problem lies with GNU patch, GitHub's patch export, or patch format standards, but they plan to investigate further.

In summary, the author highlights a potential bug in how patches are processed, where fake diffs in commit messages can lead to unexpected behavior.

Summary:

Today's Stratechery interview features OpenAI CEO Sam Altman and AWS CEO Matt Garman discussing their new collaboration on Bedrock Managed Agents. This shift comes after Microsoft and OpenAI amended their agreement, allowing OpenAI to provide services on other cloud platforms like AWS, while still prioritizing Azure.

Key points from the new agreement:

• Microsoft remains OpenAI's primary cloud partner, but OpenAI can now serve its products on any cloud provider.
• Microsoft has a non-exclusive license to OpenAI's intellectual property until 2032 and will no longer pay a revenue share to OpenAI.
• OpenAI’s focus will shift towards AWS, recognizing it as a significant opportunity.

The interview addresses how Bedrock Managed Agents will help businesses implement AI more effectively within AWS environments, emphasizing ease of use and integration. They discuss the importance of combining AI models with a robust operational framework, which simplifies deployment for organizations.

Overall, the conversation highlights the evolving landscape of AI and cloud computing, with a focus on collaboration and innovation to meet customer demands. Both Altman and Garman express excitement about the potential of their partnership to create new opportunities for startups and established enterprises alike.

The text discusses the limitations of a new C++26 feature called std::define_static_array, which simplifies the creation of compile-time arrays. Here are the key points:

1. Global Constexpr Variables: You can create global constexpr arrays like std::array, but not std::vector or std::list that hold pointers to heap allocations. This is because heap allocations cannot exist solely in the compiler's evaluation context.

2. Constexpr Two-Step: A workaround, known as the "constexpr two-step," allows you to compute values at compile time and then copy them into a static array. This method is more flexible but requires more code.

3. Limitations of define_static_array:

   • Non-structural Types: define_static_array only works with structural types (like int), not with types like std::optional<int>.
   • Pointers to String Literals: You cannot create arrays of pointers to string literals with define_static_array, though the two-step method allows it.
   • Move-only Types: define_static_array cannot handle move-only types, while the two-step method can with careful coding.
   • Mutable Arrays: define_static_array creates immutable arrays, meaning you can't easily generate mutable arrays as you can with the two-step method.

4. Conclusion: The define_static_array feature is not a complete replacement for the two-step method, as it cannot handle several common use cases. Future C++ versions might introduce new features to address these limitations.

Overall, while std::define_static_array simplifies some tasks, it has significant restrictions that make it less versatile than the existing "constexpr two-step" approach.

Bankruptcy filings in the U.S. rose by 11.9% over the year ending March 31, 2026, with a total of 591,850 cases. This is an increase from 529,080 cases the previous year. Business filings went up by 11.4%, reaching 25,960, while non-business filings increased by 11.9% to 565,890.

Since hitting a low of 380,634 in June 2022, bankruptcy filings have been steadily rising each quarter but are still below past highs, which peaked at nearly 1.6 million in September 2010.

Additional statistics include comparisons of filings over the past year and data by month and county. For more information on bankruptcy and its procedures, resources are available online.

The software is compatible with all major operating systems: Microsoft Windows, Apple macOS, and GNU/Linux.

Summary of Warp Development Environment

Warp is an open-source development environment designed for coding, especially from the terminal. It includes a built-in coding agent and allows users to integrate their own command-line agents, like Claude Code or Codex.

Key Points:

• Sponsorship: Warp is sponsored by OpenAI and uses GPT models for its management workflows.
• Installation: Users can download Warp and find specific installation instructions in the documentation.
• Licensing: The user interface components are licensed under the MIT license, while the main code is under the AGPL v3 license.
• Open Source Contributions: The codebase is open for community contributions. Users are encouraged to read the CONTRIBUTING.md guide for details on how to contribute.
• Issue Reporting: Before reporting a bug or feature request, users should check existing issues. New issues can be filed using templates provided.
• Building Warp Locally: Developers can build Warp from source using specific scripts for setup and testing.
• Community and Support: Users can join the Slack community for help and check the documentation for comprehensive feature guides.
• Code of Conduct: Warp promotes a respectful community and has a Code of Conduct in place.

Warp relies on several open-source dependencies to function, including Tokio and Hyper HTTP library.

The text discusses the vulnerabilities in GitHub Actions, a feature used for automating workflows in software development, particularly in managing open source projects. It highlights several incidents over the past 18 months where these vulnerabilities were exploited, leading to the distribution of malicious software.

Key Points:

1. Recurring Vulnerabilities: Many security incidents trace back to specific GitHub Actions features, especially the pull_request_target trigger and the way actions are referenced using mutable tags. These features can allow untrusted code to execute with access to sensitive information.

2. Notable Incidents: Examples include:

   • Spotbugs (Nov 2024): A malicious pull request exploited the pull_request_target trigger, leading to credential theft.
   • Ultralytics (Dec 2024): A compromised cache entry resulted in malicious software being published.
   • tj-actions (Mar 2025): An attacker used stolen credentials to compromise 23,000 repositories.
   • nx and Trivy (2025-2026): Similar vulnerabilities led to further compromises and malicious releases.

3. Common Factors: Many of these incidents involved:

   • Using untrusted pull requests with full access to secrets.
   • Lack of safeguards in the workflow setup, such as unpinned action versions and insufficient permissions management.
   • Vulnerabilities in how strings are processed in shell commands.

4. Recommendations: The text suggests that developers should:

   • Use a third-party linter (like zizmor) to identify and fix vulnerabilities in their workflows.
   • Pin dependencies and set strict permissions to reduce risks.

5. GitHub's Response: While GitHub has announced plans to improve security features, many suggested changes are optional and may not address the root issues effectively. The community is encouraged to push for more secure default settings.

In summary, the article emphasizes the need for better security practices in GitHub Actions due to multiple vulnerabilities that have been exploited, impacting many projects. Developers are urged to take proactive steps to secure their workflows.

Paramount plans to merge with Warner Bros. Discovery (WBD), resulting in 49.5% ownership by non-U.S. investors, including a significant stake from three Middle Eastern investment funds. This merger aims to enhance Paramount's access to capital, allowing it to compete better in the media market.

Despite concerns over foreign ownership, Paramount assures that these investors will not have voting control and will act as passive backers. The merger, valued at $110 billion, is expected to close by September 2023, pending regulatory approvals. Some state attorneys general are exploring legal options against the deal, but Paramount's executives view the filing for foreign ownership approval as a routine action.

The involvement of foreign interests has raised sensitivities, especially with major news outlets like CBS News and CNN under the same corporate umbrella.

Summary of "Introducing talkie: a 13B Vintage Language Model from 1930"

Talkie is a new 13 billion parameter language model trained on English texts from before 1931. Developed by Nick Levine, David Duvenaud, and Alec Radford, it aims to create a simulated experience of conversing with someone from the past.

Key Points:

1. Purpose: Talkie allows exploration of historical knowledge and cultural values, helping researchers understand AI better and how vintage models behave differently from modern ones.

2. Model Features: The model is trained on 260 billion tokens of historical text, making it the largest vintage language model available. It is designed to function as a conversational partner.

3. Training Challenges:

   • Temporal Leakage: Ensuring no modern data influences the model's responses is crucial but difficult. Efforts are ongoing to improve filtering methods.
   • Data Quality: Historical texts often require careful transcription, as poor optical character recognition (OCR) can lead to inaccuracies. New methods are being developed to enhance data quality.

4. Performance Comparisons: Although Talkie underperforms compared to modern models, it shows promise in basic language understanding and numeracy tasks. The team is working on improving its capabilities through further training and better data.

5. Future Plans: Researchers plan to expand the corpus of historical texts, improve the model's training methods, and develop new techniques for detecting data leakage. They also welcome collaboration with historians and researchers to enhance the model further.

6. Content Considerations: The model reflects the cultural values of its training data, which may result in outputs that could be considered offensive.

Overall, Talkie represents a unique approach to exploring the intersection of AI and historical knowledge, paving the way for further research and development in vintage language models.

The text discusses the remarkable advancements in semiconductor technology, highlighting how modern smartphones have vastly more memory and speed than the computers used during the Apollo Moon missions. This progress is largely due to the miniaturization of transistors, the fundamental components of computing.

At the forefront of semiconductor manufacturing is ASML, a Dutch company that produces the only machines capable of creating the intricate patterns needed on chips. These machines are complex and large, requiring significant logistics to transport. ASML's success is attributed to its innovative use of a technology called photolithography, which uses light to etch patterns onto semiconductor wafers.

ASML faced challenges early on, including competition and financial struggles, but through strategic partnerships and a focus on modular design, it gained a competitive edge. The company developed extreme ultraviolet (EUV) lithography, which allows for the production of smaller, more efficient chips. This technology took years to commercialize, with ASML investing heavily in research and development.

By collaborating closely with major industry players like TSMC, ASML overcame engineering challenges and became the dominant supplier of advanced lithography machines, securing its position in the market and achieving significant financial success.

Overall, ASML's rise illustrates the importance of innovation, collaboration, and strategic risk-taking in the high-tech industry, positioning it as a crucial player in the global semiconductor landscape.

No summary available.

Summary: GitHub Copilot Code Review Changes

Starting June 1, 2026, GitHub Copilot code reviews will begin using GitHub Actions minutes, affecting how they are billed. Here are the key points:

• New Billing Model: Code reviews will be charged under a new usage-based billing model with two main changes:

  1. All Copilot usage, including code reviews, will be billed as AI Credits.
  2. Code reviews on private repositories will consume GitHub Actions minutes from your existing plan. If you exceed your included minutes, you'll be charged at standard rates. Public repositories will still have free Actions minutes.

• Affected Plans: This change impacts GitHub Copilot Pro, Pro+, Business, and Enterprise plans.

• Preparation Steps:

  1. Review Usage: Check your current GitHub Actions usage and budgets in your account settings.
  2. Monitor Spending: Ensure your budget aligns with expected usage and adjust spending limits as needed.
  3. Inform Team: Share this update with billing administrators and engineering leads.

• No Changes Required: If you already use GitHub-hosted Runners, no additional setup is needed. Self-hosted Runners are also available.

For more details, refer to the documentation and GitHub Community discussions.

Google has entered a classified agreement with the U.S. Department of Defense that allows the government to use its AI models for lawful purposes. This deal comes after Google employees expressed concerns about the potential harmful uses of AI. Importantly, the agreement reportedly does not give Google the power to veto how the Pentagon uses its AI, meaning the restrictions in place may not be legally binding.

The deal includes assurances that Google's AI will not be used for domestic surveillance or autonomous weapons without human oversight. Google stated it is committed to responsible AI use and is part of a group of tech companies supporting national security through AI.

Astronomy Picture of the Day Summary (April 27, 2026)

Each day, a new image of the universe is showcased, accompanied by an explanation from a professional astronomer.

Today's image features Comet C/2025 R3 (PanSTARRS) appearing among satellite trails. The satellites look like streaks due to a long camera exposure time of over 10 minutes. In reality, satellites move slowly across the sky and are visible as points of light, especially after sunset and before sunrise.

This photo was taken just before sunrise in Bavaria, Germany, two weeks ago. Currently, the comet is hard to spot because it is very close to the Sun. It will be more visible in the coming weeks from the southern hemisphere as it moves away into space and fades.

If you’re trying to find the comet in the image, look just above the center.

Summary:

On April 28, 2026, the Blender Foundation announced that Anthropic has become a Corporate Patron of the Blender Development Fund. This partnership will support the core development of Blender, including important features like the Blender Python API, which helps developers and artists customize the software.

Francesco Siddi, the CEO of Blender, expressed gratitude for Anthropic's support, which allows the Blender team to work independently on projects that benefit artists and creators. The Blender Foundation aims to empower artists with free and open-source tools while also providing APIs for further customization.

Anthropic is an AI research company known for its reliable AI systems, including its language model, Claude. Blender is the leading free open-source software for 3D creation, widely used by artists and developers around the world.

No summary available.

The study examined the impact of AGENTS.md files on code generation in a monorepo, revealing a significant variability in their effectiveness. Some files greatly improved coding quality, while others worsened it. Key findings include:

1. Variable Effectiveness: The same AGENTS.md file can help with one task while hindering another, showing that its impact is not uniform.

2. Effective Patterns:

   • Progressive Disclosure: Focused, concise AGENTS.md files (100-150 lines) that cover common cases work best.
   • Procedural Workflows: Clear, step-by-step instructions significantly improve task completion rates.
   • Decision Tables: These help clarify choices before coding, enhancing adherence to standards.
   • Real Code Examples: Short snippets from production code improve reuse and consistency.
   • Specific Rules: Domain-specific guidelines improve performance when relevant but can overwhelm if too many are included.
   • Balanced Guidance: Pairing prohibitions with actionable alternatives leads to better outcomes.

3. Common Pitfalls:

   • Overexploration: Excessive warnings or complex architecture descriptions can confuse the agent and degrade output quality.
   • Document Overload: Large volumes of surrounding documentation can distract agents, making it essential to keep AGENTS.md focused.

4. Documentation Discovery: AGENTS.md files are easily found by agents, while other documents in the repo are less likely to be read, emphasizing the importance of keeping critical information centralized.

5. Migration Strategy: When updating documentation, prioritize concise, relevant content in AGENTS.md, and reference existing high-quality documentation as needed.

Overall, the study suggests that careful structuring of AGENTS.md files can enhance coding efficiency and accuracy while avoiding common pitfalls related to documentation overload and ambiguity.

Summary: PyWry Overview

PyWry allows developers to create applications using one codebase that can be run anywhere. Key features include:

• Cross-Platform Compatibility: Start in Jupyter, deploy with FastAPI, and compile to a desktop app.
• Lightweight Webviews: Utilizes PyTauri for native webviews, avoiding the heaviness of Electron.
• Built-in Notebook and Web Support: Instant integration with Jupyter and FastAPI for seamless deployment without code changes.
• Declarative UI Components: Includes ready-to-use Pydantic models for toolbars, modals, and inputs, enabling quick UI development.
• Two-Way Communication: Allows live interaction between Python and JavaScript, supporting tools like AgGrid and Plotly.
• Customizable Themes and Authentication: Offers light/dark modes, numerous CSS variables, and enterprise-level authentication options.

Additional resources such as tutorials, installation guides, and API documentation are available for users.

Physicists have recently discovered new and complex forms of ice, revealing that water can exist in over 20 different phases, many formed under extreme conditions. With advanced computer simulations predicting tens of thousands of possible ice structures, scientists are exploring these exotic forms that may exist in various environments beyond Earth.

In the past year, researchers have identified three new types of ice, including two of the most intricate phases ever observed. One of these, called ice XXI, was discovered when scientists studied how water transitions from one phase to another under high pressure. This phase has a complex structure that does not match previously predicted forms, highlighting the surprises water can present.

Additionally, researchers are exploring how ice transitions between different states, which does not always follow predictable patterns. This behavior supports a theory called Ostwald’s step rule, suggesting that systems may transition to less stable states before reaching a stable one.

Another recent discovery involves "plastic ice," where molecules retain their crystalline structure but can rotate, potentially existing in the cores of icy moons. This research emphasizes the ongoing exploration of water's properties and the need for new experimental techniques to uncover even more of its mysteries. Scientists continue to push the limits of pressure in their studies, aiming to learn more about the versatile nature of water.

Summary:

The author spent a month on a sabbatical to build a power meter for sledgehammer strikes, which measures the force of hits. After five years at Shopify, they wanted to pursue an entrepreneurial idea and chose this project because it offered the chance to learn about hardware and product design.

The project emerged from a realization that many fitness activities have measurable metrics, while sledgehammer training does not. The author, who had little experience with sledgehammers, believed that measurable training could enhance its practice.

Over four weeks, they faced challenges in design and functionality, learned from mistakes, and ultimately created a prototype that could withstand real strikes and connect to an iOS app for data tracking. The experience shifted the project from a mere idea to a tangible product, leading to insights about its potential impact on training.

Next steps involve further testing and refinement, focusing on whether the product becomes more engaging as it develops. The project can be followed at intensity.systems. The author reflects on how effective measurement in training can uncover new opportunities for improvement.

Summary of Voice Modems

Voice modems have a complex history tied to how audio was handled in older and modern phones.

1. Old vs. Modern Phones: Early phones had cellular modems with direct analog audio connections, allowing them to work independently for voice calls. In contrast, modern smartphones use digital audio paths integrated into the operating system, making it harder to record call audio due to both technical challenges and regulatory issues.

2. Historical Context: The architecture of voice modems can be traced back to the 1980s with the Hayes Smartmodem, which introduced a command interface between modems and computers. This led to the widespread use of AT commands for modem control, a standard that continues today.

3. Development of Voice Modems: In the early 1990s, companies like Rockwell began developing modems with voice capabilities. These modems used a command set (AT#) for voice control, allowing computers to make and receive calls. This innovation led to a niche market for PC-based interactive voice response (IVR) systems.

4. Voice Modem Features: Voice modems allowed for voicemail functionalities and other features, but their actual use was often limited to voicemail due to the complexity of implementing full voice features. Many consumer modems marketed as voice-capable often only highlighted voicemail capabilities.

5. Challenges and Decline: Despite their potential, voice modems faced challenges with compatibility and standardization. As DSL and VoIP technologies emerged, the need for traditional voice modems decreased. Although voice capabilities are still present in some modern modems, they are often not well-documented or utilized.

6. Modern Relevance: Today, voice modem features persist in some devices, but they are overshadowed by newer technologies like SIP for voice communication. The integration of voice functions within cellular modems has evolved, yet many underlying principles from the past remain unchanged.

In summary, while voice modems played an important role in the evolution of telephony and computer integration, their complexity and the advent of better technologies have limited their relevance in modern communications.

Cybersecurity professionals faced significant pay stagnation in 2025, with 77% of security staff in the UK and 71% globally receiving no salary increases despite growing responsibilities and threats. This contrasts sharply with the 45% of all tech workers who received raises. As a result, cybersecurity workers report low job satisfaction, ranking among the least satisfied in tech.

The stagnation is attributed to complacency at the board level, where successful security teams are not adequately recognized or rewarded, leading to increased burnout and attrition. Despite a notable rise in cyber threats, organizations are failing to treat cybersecurity roles as strategic assets.

Many cybersecurity professionals remain in their jobs due to a lack of confidence in finding better opportunities, with 56% citing job satisfaction as their reason for staying. Experts warn that to retain talent and improve response to incidents, organizations must value and support their cybersecurity teams more effectively.

A year after a massive blackout affected Spain and Portugal, there is ongoing political debate about its causes. Initially, solar power was incorrectly blamed for the blackout, which caused widespread disruptions, including failed traffic signals and halted metro services. Investigations revealed that the blackout was actually due to governance failures related to voltage control, not renewables. Despite the incident, Spain has continued to increase its renewable energy capacity, adding 13.8 gigawatts of solar in 2025.

The country’s reliance on gas increased temporarily to stabilize the grid, but this was not seen as a long-term solution. Experts noted that Spain's investments in renewables have helped shield it from rising gas prices due to conflicts in the Middle East, with wholesale electricity prices remaining significantly lower than in other European countries. The blackout has prompted changes in regulations to allow renewables to better manage grid voltage, highlighting the importance of addressing misinformation while progressing towards a greener energy future.

Incident Summary for Claude.ai

On April 28, 2026, Claude.ai experienced an outage and elevated error rates on its API, affecting multiple services including Claude Code and the Claude Console.

• Incident Timeline:
  • Investigating: Issues began at 17:41 UTC, preventing users from accessing Claude.ai.
  • Identified: By 17:51 UTC, the source of the elevated errors was identified.
  • Update: Efforts to fix the access issues were ongoing by 18:33 UTC.
  • Monitoring: By 18:59 UTC, services were returning to normal, and monitoring was in place until the incident was fully resolved.
  • Resolved: The incident was officially resolved by 19:15 UTC.

Overall, the issue lasted from 17:34 to 18:52 UTC, but services are now functioning normally. Users can subscribe for updates via email or SMS.

The text discusses the nature of WebAssembly (Wasm) and argues that it is misleading to label Wasm strictly as a stack machine. Here are the key points:

1. Definition of Stack Machine vs. Register Machine:

   • A stack machine processes operations using a stack to manage values, while a register machine uses registers (storage locations) to hold values.
   • In a register machine, operations are explicit, such as a = b + c, while a stack machine uses a sequence of commands, like push and mul, without directly referencing variables.

2. Limitations of Wasm:

   • When writing Wasm by hand, the author found Wasm lacks sufficient stack manipulation instructions compared to traditional stack machines. This makes it difficult to perform optimizations or reuse values without resorting to register-like behavior.

3. Instruction Set Comparison:

   • The author compares Wasm's instruction set with that of the Java Virtual Machine (JVM), noting that while JVM has many stack manipulation instructions, Wasm has very few, limiting its ability to handle complex expressions efficiently.

4. Conclusion:

   • The author suggests that Wasm operates more like a register machine with a stack-like encoding for expressions, rather than being a true stack machine. This distinction is important as it affects how programmers can optimize their code in Wasm.

Overall, the text highlights a misunderstanding in how Wasm is categorized and points out its limitations in stack manipulation, which impacts its efficiency in handling complex computations.

Alexis Wales is the Chief Information Security Officer at GitHub. She leads a team that protects the GitHub platform and supports over 150 million developers in creating secure software. With 20 years of experience in cybersecurity, including roles in the Department of Defense and the Department of Homeland Security, she is dedicated to working with both public and private sectors to address major security issues.

The QDay Prize was a competition aimed at encouraging advancements in quantum cryptanalysis by offering a prize of 1 bitcoin for the best solution using Shor’s algorithm. However, the competition faced significant issues:

1. Error Correction Challenge: Shor’s algorithm requires quantum error correction, which current quantum computers lack. This means that participants would likely use circuits that do not accurately reflect the algorithm's potential, making the results irrelevant.

2. Luck Factor: Small problems are easily solved by Shor’s algorithm, often by chance, rather than through effective quantum computing. This makes it difficult to determine genuine progress and contributions in the competition.

Despite these concerns, the competition proceeded, and the chosen winner’s submission was criticized for effectively being a random number generator, yielding results indistinguishable from those achieved through legitimate quantum computing methods. This raised questions about the validity of the competition and the criteria for judging submissions.

The competition runners defended their decision by stating that the submission adhered to the rules and demonstrated progress in quantum attacks. However, critics argue that the rules were flawed and that the results did not reflect actual advancements in quantum computing.

In conclusion, the QDay Prize has been perceived as a failure, potentially undermining awareness of the threats posed by quantum computing to cryptography. The competition's organizers are encouraged to acknowledge the shortcomings and improve future initiatives.

The BookStack project has transitioned from GitHub to Codeberg, highlighting several reasons for the move:

1. Privacy Concerns: Many users value their privacy and may hesitate to use a platform owned by a large corporation like Microsoft.
2. Open Source Alignment: The project aims to support open platforms that align with its open-source philosophy.
3. GitHub's Direction: The platform is increasingly focused on AI features and monetization, which may compromise user experience and respect for developers' rights.
4. Temporary Access Issues: GitHub's bandwidth limitations have caused access problems for the project.

Benefits of GitHub: The team acknowledges some advantages of staying with GitHub, such as cost-free hosting, a user-friendly interface, and tools for continuous integration. However, they recognize that their reliance on GitHub is significant, with many active repositories and user interactions tied to it.

Future Plans: The migration to Codeberg includes archiving GitHub repositories while maintaining links to the new Codeberg projects. The team is also considering other alternatives like GitLab, Gitea, and Sourcehut but prefers to avoid self-hosting when possible.

Overall, the transition reflects a desire for greater control and alignment with community values, while still weighing the benefits that GitHub provides.

Vladimir Fedorov is the Chief Technology Officer at GitHub, where he focuses on improving tools for developers. He has extensive experience in engineering and innovation, having co-founded a startup called UserClouds and worked at Facebook for 12 years, leading large teams. Vlad also has a background at Microsoft and holds degrees in Computer Science from Caltech. He is involved with Codepath.org, which aims to improve engineering education. Outside of work, he enjoys outdoor activities with his family in the Bay Area.

The text discusses the unsustainable economics of generative AI services, particularly focusing on companies like GitHub Copilot, OpenAI, and Anthropic. Here are the key points:

1. Subscription Model Problems: Many AI services have been offered on a subscription basis that does not accurately reflect their operational costs. Users are often unaware of the actual expenses incurred from their usage, leading to significant losses for the companies. For instance, GitHub Copilot is transitioning to a usage-based pricing model due to unsustainable subsidies provided to users.

2. Rising Costs and User Backlash: The AI industry is facing backlash as costs rise and companies shift from subsidized services to a model where users pay per usage (token-based billing). Users have expressed dissatisfaction, claiming products are becoming unaffordable.

3. Economic Mismatch: The underlying economics of AI services are flawed. Companies assume that the demand for generative AI will keep increasing, allowing them to recoup losses from subsidizing costs. However, many users may not be able to justify the high expenses associated with AI services.

4. Data Center Economics: Building and operating AI data centers is expensive, and many are not financially viable without guaranteed, high levels of usage. Companies like Oracle are heavily investing in data centers with uncertain returns, reliant on unproven projections of future profitability.

5. Concerns about Future Viability: Major companies like OpenAI and Anthropic are projected to lose significant amounts of money in the coming years. There are serious doubts about their ability to meet financial obligations and maintain profitability, raising concerns about the sustainability of their business models.

6. Lack of Transparency: There is a deliberate lack of transparency regarding the true costs associated with using AI models, which has led to a disconnect between users' perceptions and the reality of the expenses incurred.

7. Critical Outlook: The author warns that without significant changes in how AI services are priced and managed, many firms might face financial ruin, affecting not just their operations, but also their investors and the broader tech industry.

Overall, the text paints a bleak picture of the current state of generative AI, highlighting significant economic challenges and the potential for widespread fallout if companies do not adapt to the realities of their operational costs.

The text discusses the electricity bills in Great Britain, focusing on the average cost for a typical household using 3,100 kWh of electricity. As of the current year, the total cost is £892, which translates to 28 pence per kWh. However, the actual cost per kWh, excluding fixed charges, is about 20% lower. The information is based on estimates from various energy organizations.

Summary of pgrx: Postgres Extensions with Rust

pgrx is a framework for building PostgreSQL extensions using Rust, focusing on safety and idiomatic Rust practices. It supports PostgreSQL versions 13 to 18.

Key Features:

• Development Environment: Tools for creating, testing, and packaging extensions easily.
• Multi-Version Support: Write code compatible with multiple PostgreSQL versions.
• Automatic Schema Generation: Create SQL schemas and map Rust types to PostgreSQL automatically.
• Safety: Handles errors safely and manages memory using Rust's semantics.
• User-Defined Functions (UDF): Easily expose Rust functions to PostgreSQL.
• Custom Types: Define Rust structs and enums as PostgreSQL types.

System Requirements:

• Compatible with various operating systems including Linux and Windows.
• Requires a Rust toolchain, a C compiler, and PostgreSQL build dependencies.

Getting Started:

1. Install system dependencies.
2. Install the cargo-pgrx command.
3. Initialize your pgrx environment and create a new extension.
4. Test your extension easily with the provided commands.

Cross-Compiling: Instructions for building extensions for different architectures are provided.

Known Issues: Some threading and async operations are not well-supported. The framework is still evolving, and there are many unresolved aspects.

Contributing: The pgrx team welcomes contributions, bug reports, and feature suggestions.

License: The project is open-source under the MIT license.

For more details, users can refer to the README or join the Discord community for support.

No summary available.

A recent controversy has emerged regarding the period tracking app Flo, which has been found liable for sharing users’ sensitive health data with Meta, despite claiming to protect user privacy. This issue affects a significant number of users, as 13 million were included in a class action lawsuit against Flo. The legal challenges highlight a larger problem in the health tech industry, where consent around sharing personal health information is often ambiguous.

The lawsuits reveal that Flo embedded a tool that shared private data, such as menstrual cycles and ovulation, with third parties for commercial use. This situation raises serious questions about how health data is monitored and protected, especially in a context where current privacy laws, like HIPAA, do not adequately cover non-medical health apps.

The article criticizes Flo for its design choices that prioritize data monetization over user privacy, suggesting that the app's updates have increasingly focused on symptom tracking rather than user-friendly features. It emphasizes the responsibility of tech companies to ensure user consent and protect sensitive information.

Overall, the piece argues that users cannot solely rely on companies to safeguard their data and expresses concern about the growing trend of data collection in women's health apps, especially in light of evolving technology and privacy standards. The author concludes with a recommendation for more privacy-focused alternatives to Flo.

Summary of Fabien Sanglard's Article: "Mo RAM, Mo Problems"

Fabien Sanglard discusses his experience with building a retro gaming PC specifically for running Quake. While he found the motherboard and hard drive to be very expensive, he bought a large amount of RAM from 1997 for just $60. After setting up his PC, he noticed a significant drop in performance when he increased the RAM, going from 44 frames per second (fps) to 33 fps.

Despite numerous troubleshooting attempts—like swapping graphics cards and reinstalling software—the issue persisted. Eventually, he discovered that the motherboard could only cache a limited amount of RAM (64MB), meaning that when he exceeded this limit, performance suffered. He found that by reducing the RAM to just one module, the performance improved back to 44 fps. This experience highlighted that having too much RAM can actually hinder performance in certain older systems.

OpenAI is trying to keep up with its competitor Anthropic, which has recently gained attention with its AI model, Claude Mythos Preview. This model has raised concerns for its potential cybersecurity risks. OpenAI responded by releasing a similar model called GPT-5.4-Cyber, limiting access to trusted users.

The pattern of competition shows that Anthropic, founded by former OpenAI employees, often announces new products first, prompting OpenAI to release comparable versions shortly after. Despite OpenAI's previous dominance in the AI space, Anthropic is now more popular, reporting a revenue rate of $30 billion a year, which may surpass OpenAI's.

Internally, OpenAI seems anxious about Anthropic's success, with its leaders acknowledging the rivalry and emphasizing a positive messaging strategy against Anthropic's focus on AI risks. OpenAI has been adopting some of Anthropic's safety measures and shifting its business model to focus more on enterprise clients, similar to Anthropic's approach.

While OpenAI has greater user numbers, Anthropic has achieved a higher valuation in private markets, indicating its growing influence. Both companies are gearing up for an initial public offering to attract investors and prove profitability. The future of the AI race remains uncertain, but both companies are adapting their strategies, indicating a lack of true innovation in their business models despite the advancements in AI technology.

GTFOBins Overview

GTFOBins is a curated collection of Unix-like executables that can help bypass local security measures in poorly configured systems. The project highlights legitimate functions of these executables that can be exploited for various purposes, such as breaking out of restricted shells, gaining higher privileges, transferring files, and performing post-exploitation tasks.

• Creators: The project is led by Emilio Pinna and Andrea Cardaci, with contributions from many others. Anyone can contribute by adding new entries and techniques.

• Purpose: It is important to note that GTFOBins is not a list of exploits. The executables listed are not inherently vulnerable; rather, it offers guidance on utilizing available tools for specific tasks.

• For Windows Users: If looking for Windows binaries, users are directed to a different resource called LOLBAS.

Key Features:

• Functions: Includes capabilities like file reading/writing, executing shell commands, and privilege escalation.
• Contexts: Focuses on various user privilege levels, including unprivileged and those with sudo access.

GTFOBins serves as a valuable resource for understanding how to use existing tools in Unix-like systems to navigate security restrictions effectively.

Warp has announced a major change: its client is now open-source. This allows the community to actively participate in its development through a new agent-first workflow using the Oz platform for managing agents. OpenAI is the founding sponsor of this new open-source initiative.

The main goal of opening up Warp is to speed up development by utilizing a community of contributors alongside AI agents. This approach aims to improve software quickly by leveraging diverse ideas and structured processes.

Key points include:

1. Open Source: Warp's source code is now available for anyone to use and contribute to.
2. Community Involvement: Developers can help shape the product by managing agents and contributing ideas and verification.
3. New Features: Warp introduces support for more open-source models and customizable experiences for users.
4. Agent Efficiency: AI agents will handle the bulk of coding work, allowing human contributors to focus on higher-level tasks.
5. Enhanced Development Environment: The launch includes improvements to make Warp more open and user-friendly.

Overall, Warp's transition to open-source aims to create a collaborative development environment that benefits both users and the broader programming community.

Summary: Tiled Words: 6 Months of Daily Puzzles

The creator of Tiled Words has always had a passion for making games, starting with a simple number guessing game in childhood. When launching Tiled Words, he expected only a small audience, but it has become very popular, with thousands of daily players and even an award.

For the past six months, he and his wife have released a new puzzle every day, totaling nearly 200 puzzles. They enjoy brainstorming themes and clues together. Players have provided almost 700 pieces of feedback, which has helped improve the game. Many players share their experiences playing with loved ones, including family members in difficult situations.

Recent updates include the option for users to create accounts to sync their progress across devices. The creator is also working on features that allow players to submit their own puzzles. He plans to share his puzzle-building tools for others to use but needs to refine them first.

Players are encouraged to suggest new features they would like to see in Tiled Words. The creator expresses gratitude for the community's support and enthusiasm, which motivates him to continue building puzzles.

A recent study from the Medical University of South Carolina suggests that fish oil, often considered beneficial for brain health, may actually hinder recovery in people with repeated mild head injuries. The research indicates that eicosapentaenoic acid (EPA), a key omega-3 fatty acid in fish oil, could weaken blood vessel stability and disrupt healing processes, potentially leading to cognitive decline.

The study, published in Cell Reports, highlights that while omega-3 supplements are widely used, their effects on brain recovery are not fully understood. Researchers found that higher levels of EPA in the brain were linked to poorer recovery after injury, whereas another omega-3, docosahexaenoic acid (DHA), appears to have beneficial effects.

The research involved experiments on mice and human brain cells, showing that EPA negatively impacts the brain's ability to repair itself after injury. The findings raise important questions about the use of fish oil supplements, particularly for individuals with a history of brain injuries.

The lead researcher, Dr. Onder Albayram, emphasized that the study does not categorically label fish oil as good or bad but suggests that its effects depend on individual biological contexts. Further research is needed to understand how omega-3s like EPA function in the body over time.

Starting in September 2026, Google will require all Android app developers to register with them in order to have their apps installed on any device. This includes apps distributed outside the Play Store, such as those shared among friends or created by hobbyists. Developers must pay a fee, agree to Google's terms, provide a government ID, and submit details about their apps. If they don’t comply, their apps will be blocked globally.

This change is seen as a significant threat to user freedom and independent developers. Users who bought Android devices for their open nature will find their choices restricted, as only Google-approved apps will be allowed. Critics argue that this move is not about security, but rather about increasing control over the Android ecosystem, similar to Apple's closed approach.

Many organizations and individuals are pushing back against this policy, warning that it could end platforms like F-Droid and harm privacy-focused developers. They encourage users to install alternative app stores, contact regulators, and avoid signing up for Google’s developer program. The overarching concern is that this policy represents a shift towards a more monopolistic, less open Android experience.

Meetings can be very effective for managing long-term projects that involve many people but aren't anyone's main focus. Often, these projects get pushed aside due to other responsibilities. To keep progress on track, it's helpful to have regular meetings, whether in person or online.

At each meeting, it's important to review what was discussed previously and check on the status of tasks. This creates accountability, as team members know they will be asked about their progress. This approach is especially useful in consulting, where regular meetings with clients can motivate both sides to keep moving forward.

For managing complex projects, consider scheduling standing meetings weekly, bi-weekly, or monthly, depending on how urgent the project is. These meetings help ensure that everyone makes time to advance the project.

Microsoft has decided to stop sharing revenue with OpenAI, its main partner in artificial intelligence. This change may affect their partnership and how they work together in the future. For more details, you can check the full article from Bloomberg or OpenAI's announcement about the next phase of their partnership.

No summary available.

Easyduino Summary

Easyduino is a project that provides open-source PCB designs for popular microcontroller development boards such as Arduino, ESP32, Raspberry Pi Pico, and STM32 Bluepill, using the free software KiCad. The goal is to standardize the different designs and practices used across these boards while introducing USB-C support.

Key Points:

• Easyduino aims to simplify PCB design for popular microcontroller boards.
• It offers several development boards: Easyduino UNO, Nano, ESP32, ESP32 S3, Pi Pico, and Bluepill STM32F103.
• The designs closely replicate original boards but may use different components due to availability and cost.
• Each project includes KiCad files, a README for specifics, and production files for manufacturing.
• To use the projects, download the files, and open them in KiCad.
• Contributions are welcome for corrections or new board designs, following the original style.

Future Plans:

• Testing and improving existing boards and developing new ones like nRF52840 Dongle and RP2350A.

Licensing:

• The project is licensed under the CERN Open Hardware Licence Version 2, allowing free use and modification.

Summary: The Quiet Resurgence of RF Engineering

The field of RF (Radio Frequency) engineering, once considered stagnant, is experiencing a significant revival, particularly in the aerospace and defense industries. Initially, many engineers, including the author, were drawn to software careers due to the booming tech sector, leaving RF engineering behind. However, as they shifted to aerospace roles, they found themselves engaging with RF technologies more than expected.

Key factors contributing to the resurgence of RF engineering include:

1. Space Industry Growth: The number of spacecraft launches skyrocketed from about 260 in 2015 to nearly 2,700 in 2024, primarily driven by commercial companies like SpaceX. Each spacecraft requires extensive RF hardware, leading to increased demand for RF engineers.

2. 5G and 6G Technology: The rollout of 5G technology has dramatically increased the need for RF components due to the complex requirements of MIMO systems. Looking ahead, 6G developments will introduce even more RF challenges.

3. Talent Shortage: There is a significant shortage of qualified RF engineers, with many electrical engineering employers struggling to fill positions. This shortage is compounded by competition from the semiconductor industry, which is also experiencing rapid growth.

4. Emerging Markets: Additional sectors, such as automotive radar and IoT (Internet of Things), are expanding the demand for RF expertise, further underscoring the field's importance.

Despite the increased demand, the growth of RF engineering roles is not expected to skyrocket but remains constrained by a limited talent pool. The author encourages professionals in related fields to consider RF engineering, as it presents both opportunities and challenges that can be rewarding and engaging.

Apple is preparing to make significant networking changes in macOS 27, which is expected to be released in mid-September 2026. Key points include:

1. Removal of AFP Support: Apple has been phasing out AFP (Apple Filing Protocol) since it switched to SMB (Server Message Block) as the primary file-sharing protocol over 12 years ago. Users of older devices like Time Capsules or NAS systems that don’t support SMB3 may be affected, especially if they upgrade to macOS 27.

2. TLS Requirements: Future versions of macOS will require connections to certain servers to use at least TLS 1.2, with TLS 1.3 recommended. This change primarily affects enterprise users and services related to device management and app distribution. Local Content Caching servers will not be impacted.

3. Compliance Check: To ensure server connections comply with these new TLS rules, system administrators will need to audit server connections. This involves using log entries and a specific command in Terminal, as there is no graphical user interface available for this task.

4. Timeline: The developer beta for macOS 27 is expected on June 8, 2026, with the public beta following on July 8, 2026.

These changes could impact users significantly, especially in enterprise environments, so it's important to prepare ahead of the release.

In Kannauj, India, perfumers have been creating a unique fragrance called mitti attar for centuries. This scent captures the aroma of earth after the first rains, known for its musky and earthy qualities. Rajat Mehrotra, a co-owner of Meena Perfumery, emphasizes that mitti attar can only be found in Kannauj, where it is made using traditional methods.

The process involves using clay materials, like discarded kulhads, in large copper vats along with water and sandalwood oil. The mixture is heated for about seven hours, allowing the steam to infuse the sandalwood oil with the earthy scent. This meticulous method takes at least ten days to produce the final product, which is then stored in camel-skin flasks to mature.

Despite its long history, little is known about the origins of mitti attar, but it is deeply rooted in Indian culture and has references in sacred texts. The demand for natural perfumes like mitti attar is growing, as people seek alternatives to chemical fragrances. Mehrotra notes that the attar industry is changing but remains vibrant, appealing to both local and international buyers.

This book explains Git beyond just being a version-control tool. It covers its various functions, such as being a content-addressed database and a filesystem cache, and discusses the performance implications of these layers.

The book is aimed at engineers who want to keep Git efficient as repositories and teams grow. It includes sections on:

1. Foundations: Understanding why Git might slow down and how it manages data.
2. History and Rewrite: How Git navigates its history and how to alter it without changing commits.
3. Storage and Local Scale: Discussing object storage and techniques to optimize local performance.
4. Large-Repo Operations: Covering how to manage large repositories and improve data transfer.
5. Diagnosis and Recovery: Guidance on troubleshooting slow performance and recovering from issues.

Additional resources, including a glossary and appendices, are provided to support readers in mastering Git's complexities.

Scratch has faced many security issues related to SVG (Scalable Vector Graphics) since it allows user-generated SVG content, which can be manipulated by attackers. Here are the main points:

1. SVG Vulnerabilities: Scratch appends user-generated SVG content to its main document, which can lead to security risks, including Cross-Site Scripting (XSS) and HTTP leaks.

2. History of Issues:

   • 2019: SVGs could contain <script> tags that would execute, allowing attackers to perform actions on behalf of users. This was fixed by removing script tags.
   • 2020: A flaw in the previous fix allowed XSS via case-sensitive script tag bypasses and inline event handlers. This was addressed by using DOMPurify to sanitize SVGs.
   • 2022: An HTTP leak was discovered through the <image> element, allowing attackers to log IP addresses. This was fixed by removing remote URLs.
   • 2023: Another HTTP leak via CSS @import was found and addressed by parsing CSS to remove harmful imports.
   • 2024: An XSS was discovered due to unsanitized SVGs being used in a costume editor, leading to potential attacks. This was partially fixed by extending sanitization processes.
   • 2026: Multiple vulnerabilities were found, including another HTTP leak via CSS url() and issues with long transitions allowing full page restyling. These vulnerabilities remain unaddressed.

3. Ongoing Risks: Despite numerous attempts to fix SVG sanitization, new vulnerabilities continue to emerge, indicating that the current approach is unsustainable. The complexity of the sanitization process has led to ongoing security issues.

4. Alternative Solutions: An alternative approach, used in TurboWarp (a Scratch fork), involves sandboxing SVGs within an iframe. This method blocks script execution and uses a strong Content Security Policy (CSP) to prevent issues, effectively isolating the SVG from the main document and reducing risk.

Overall, while Scratch has made efforts to improve its SVG handling, the continuous emergence of vulnerabilities suggests that a more robust solution, like the iframe sandboxing, may be necessary to ensure security.

The author received a new version of their PCB that includes a magnetometer for better yaw tracking on their drone. After programming it, they found the Z-axis data was incorrect and later, when the drone was powered by a battery, the magnetometer stopped working entirely. They discovered that while the 3.3V power line seemed stable, it might be noisy due to the voltage regulator’s switching nature. This noise could cause the magnetometer to fail under battery power.

To address the issue, the author considered adding a capacitor near the magnetometer but worried about damaging the board. Instead, they opted to use a magnetometer with a Qwiic interface, which resolved the problem, although it meant losing some synchronization with other sensors.

The author also learned about decoupling capacitors, which help clean up noisy power signals. They realized that while they couldn’t conclusively blame the lack of a decoupling capacitor for the magnetometer failure, adding them is a good practice for all integrated circuits on a PCB. Ultimately, the experience was a valuable learning opportunity in PCB design and embedded engineering.

The article discusses the evolving role of software engineers in the age of AI coding tools. While AI can write code effectively, it cannot fully replace the human aspect of engineering. Here are the key points:

1. AI's Role in Coding: Engineers are increasingly using AI to assist with coding tasks, but they still need to handle the engineering aspects. AI is particularly good at repetitive tasks like searching and reproducing code patterns.

2. AI Limitations: AI struggles with complex decision-making, understanding organizational context, and performing thorough code reviews. It often produces lower quality code without human oversight.

3. Quality Control: Human review remains critical. Even if AI generates code, having two human reviewers is beneficial to ensure quality and facilitate knowledge sharing among team members.

4. Managing Speed and Quality: While AI can speed up the coding process, it can also lead to technical debt if not properly managed. Quick fixes may lead to long-term issues if the code isn't scrutinized.

5. Team Collaboration: The introduction of AI changes how teams collaborate. There's a risk of lower-performing team members overloading reviewers with subpar AI-generated code.

6. Best Practices for AI-Generated Code:

   • Always review AI output thoroughly.
   • Be transparent about what parts of the code were AI-generated.
   • Clearly mark experiments or low-quality submissions for reviewers.
   • Write PR titles and descriptions manually to convey important context.

7. Conclusion: Despite the advancements in AI, the core principles of software engineering—such as quality control and teamwork—remain vital. The best engineers leverage AI efficiently while maintaining high standards in their work.

The "Doorway Effect" explains why we often forget our intentions when we walk through a doorway. This common experience happens when our attention shifts between different levels of our goals and actions. For example, you might remember you need to get your keys, but once you enter another room, that thought can slip away.

Psychologist Tom Stafford suggests that this forgetfulness isn't just a flaw in our memory; it shows how our minds organize tasks. Our goals exist in a hierarchy, from specific actions to broader ambitions. When we move from one environment to another, like entering a bedroom or a different room, both our physical and mental contexts change. This shift can cause us to lose track of what we intended to do.

Overall, the Doorway Effect highlights how our memories and plans are influenced by our surroundings, revealing the complexity of how we coordinate our actions in daily life.

No summary available.

Many Americans are choosing to renounce their citizenship due to dissatisfaction with the current political climate in the U.S. This process can be lengthy and expensive, often taking over a year and costing thousands of dollars. For example, Margot had to travel to Belgium because the waiting list in the UK was over 14 months.

The number of people renouncing their citizenship has increased significantly since 2014, with over 6,000 expected this year alone. Major motivations include disillusionment with political figures like Donald Trump and concerns about the U.S. becoming a dictatorship. Some, like Joseph, express fears about the U.S. government's actions, while others, like Ella, feel that the country no longer represents a stable refuge.

The U.S. tax system complicates matters further, as it taxes citizens on their global income, unlike most other countries. This leads to financial burdens for many living abroad, making renunciation appealing. The experience at consulates can vary, with some applicants feeling treated with contempt.

Despite the challenges, those who have renounced their citizenship generally do not regret their decision. They often feel relief and a sense of freedom, even if they miss certain aspects of American culture. Overall, a growing number of Americans are severing ties with their country in search of a better life elsewhere.

Spanish archaeologists have discovered over 30 shipwrecks in the Bay of Gibraltar, dating from the fifth century BC to World War II. This includes vessels from various cultures such as Phoenician, Roman, British, Spanish, Venetian, and Dutch. The project, led by the University of Cádiz, has identified 151 archaeological sites, with 134 being shipwrecks.

Among the finds is a Punic ship from the fifth century BC, 23 Roman ships, and an 18th-century Spanish gunboat called Puente Mayorga IV, which was used for stealth attacks during conflicts. The researchers are excited about the potential insights from these wrecks, especially those from the medieval period that could reveal more about seafaring in southern Spain.

The archaeologists are concerned about the preservation of these sites, which face threats from development and climate change. To raise awareness, they are sharing virtual models of the wrecks with the public. The bay serves as a rich historical archive, reflecting the maritime history of the Iberian Peninsula and North Africa.

Mario Rodriguez is the Chief Product Officer at GitHub, where he leads the Product team. He is passionate about learning and creating tools for developers, with 20 years of experience in leadership roles at Microsoft and GitHub. Recently, he focused on GitHub's AI strategy and helped launch the GitHub Copilot product, which is used by many organizations and millions of users. Outside of work, Mario enjoys time with his wife and two daughters, and he co-chairs and founded a charter school to improve education in rural areas of the U.S.

No summary available.

Summary of the Notice of Obsolescence for pgBackRest

David Steele announced he is stepping away from pgBackRest, the leading backup tool for PostgreSQL, after 13 years. The final version, v2.58.0, will not be maintained, and any future forks should have new names. The decision comes after Steele struggled to secure support for the project following the acquisition of Crunchy Data (the tool's main sponsor) by Snowflake, which did not prioritize pgBackRest.

The main issue highlighted is the fragility of open-source software, which often relies on individual contributors or small teams. Many essential projects lack sustainable funding, leading to a decline in maintenance when sponsors change their priorities. This situation is exacerbated by the ongoing consolidation in the PostgreSQL community, where smaller companies are acquired by larger ones that may not support community projects.

Despite pgBackRest's obsolescence, there are alternatives for PostgreSQL backups, including:

• pg_basebackup plus pg_combinebackup: Native incremental backups with some limitations.
• Barman: A well-supported tool maintained by EDB, comparable to pgBackRest.
• WAL-G: A community-maintained tool with cloud storage support.
• Cloud-managed backups: Offered by providers like RDS and Azure.
• pg_dump: A basic logical backup option.

While pgBackRest will continue to work, it will not receive updates or support, so users should plan to migrate to other solutions over time. The key takeaway is the need for better funding solutions for open-source projects to prevent similar situations in the future.

Summary of Interactive Radar Education: Radar Laboratory

Radar concepts can be difficult to understand because many important aspects are not visible. The Radar Laboratory aims to make these concepts clearer through interactive learning.

Key features include:

1. Visual Learning: Simple simulations help visualize radar behavior in real time.
2. Interactive Controls: Users can adjust one control at a time to see how it affects the radar scene, which helps build understanding quickly.
3. In-Depth Explanations: After exploring the visuals, users can read about the math and theory behind radar to deepen their knowledge.

The program is designed as an educational tool for developing intuition about radar, but it's not a substitute for professional engineering analysis. Users are encouraged to follow a guided course map, progressing through modules that introduce radar concepts step by step.

Summary of Fedora Linux 44 Release Announcement

Fedora Linux 44 has officially been released as of April 28, 2026. This release includes many enhancements and new features, thanks to the contributions from the community. There was a virtual release party to celebrate the launch, and a recording is available for those who missed it.

Upgrading and Installing:

• Upgrading from an existing Fedora system is straightforward, similar to regular updates.
• New users can download installation media for various editions, including Workstation, KDE Plasma Desktop, Cloud, Server, and more.

Key Features:

• The installation process has improved, particularly in how network devices are managed.
• Fedora Workstation now includes GNOME 50, offering various refinements and updates to default applications.
• The KDE Plasma Desktop is updated to Plasma 6.6, enhancing user experience from installation to daily use.
• Improvements have been made in OpenSSL handling and the default MariaDB version is now 11.8.
• The NTSYNC kernel module is included for better compatibility with Windows applications via Wine and Steam.
• Fedora Cloud images now use Btrfs for better space efficiency.

Support and Community: If users encounter issues, they can visit the Ask Fedora forum for assistance. The community encourages engagement and welcomes new members to join discussions.

Overall, Fedora Linux 44 aims to provide an improved user experience with its latest features and enhancements.

LingBot-Map is a technology focused on streaming 3D reconstruction, which involves deciding what information to keep and how to store it. It uses a method called Geometric Context Attention (GCA) to manage memory efficiently. GCA maintains three key contexts:

1. Anchor Context - helps with coordinate and scale.
2. Local Pose-Reference Window - provides detailed local geometry.
3. Trajectory Memory - compresses historical data into compact tokens.

This setup allows LingBot-Map to process over 10,000 frames at approximately 20 frames per second while keeping memory usage stable. The system uses a DINO backbone to extract image features, which are refined using Frame Attention and GCA. Finally, it predicts camera positions and depth maps for various scenes, demonstrating its capabilities in real-world scenarios.

On April 17, 2026, Tools For Humanity, an AI company led by OpenAI CEO Sam Altman, mistakenly announced a partnership with singer Bruno Mars for his Romantic Tour. This was meant to promote their Concert Kit tool, designed for verified fans to access VIP concert experiences. However, Mars' management quickly clarified that no such partnership existed, stating they were never contacted about it.

The confusion arose from a statement made by Tools For Humanity's chief product officer during an event. They later corrected their website to reflect the truth and announced that they are actually collaborating with the band Thirty Seconds to Mars for their 2027 European tour. This incident highlights the irony of a company focused on identity verification experiencing a significant mix-up.

DeepSeek-V4-Flash is a text generation model with 158 billion parameters. It was updated recently, just a day ago, and has garnered significant attention, with 96,900 interactions and 816 comments.

Summary of the ORAVYS Forensic Intelligence Report

On April 4, 2026, a group called Lapsus$ leaked approximately 4 terabytes of voice samples from over 40,000 AI contractors. This data includes voice recordings paired with government-issued ID documents, raising concerns about identity theft and voice cloning.

Key Points:

• Nature of the Breach: Unlike previous voice leaks, this incident combines voice recordings with verified identities, making it easier for attackers to create realistic voice clones.

• Potential Threats: The leaked data can be used for various malicious activities, including:

  • Bypassing bank voiceprint verifications.
  • Conducting scams targeting employers and family members.
  • Committing fraud in insurance claims.

• Protective Measures for Individuals:

  • Audit public audio samples of your voice and remove any that can be found online.
  • Establish a unique verbal codeword with family and financial contacts to verify identity during phone calls.
  • Change voiceprint settings on devices and banks to enhance security.
  • Use forensic tools to check suspicious audio files for authenticity.

• Forensic Analysis Tools: ORAVYS utilizes over 3,000 forensic engines to analyze audio samples for signs of synthetic voice generation and offers free analysis for victims of the Mercor breach.

If you believe your voice may be affected by this breach, you can have your samples analyzed for free by ORAVYS.

The text discusses the evolution and comparison of different systems used for formalizing mathematics, emphasizing the historical significance of AUTOMATH and its foundational contributions.

Key points include:

1. Historical Context: Formal mathematics has roots dating back nearly 60 years, starting with AUTOMATH in 1968, which laid essential groundwork for formalization efforts that followed.

2. Development of Proof Assistants: Various systems like LCF, HOL, Coq, and Lean have emerged, each with unique focuses and contributions. Lean has gained popularity but is critiqued for its insularity and the pressure to conform.

3. Limitations of Lean: The author expresses concerns over the complexities of dependent types in Lean and advocates for Isabelle as a viable alternative, highlighting its superior automation and clarity.

4. Philosophical Differences: The text critiques the obsession with "constructive proofs" in some systems, arguing that this limitation has hindered broader mathematical applications.

5. Future Considerations: The rise of AI is noted as a factor that could influence how proofs are structured and understood, emphasizing the importance of legibility in proofs for human readers.

6. Acknowledgment of Other Systems: The author acknowledges the importance of Mizar in formalization history, promising further discussion in future posts.

The overall message encourages a broader perspective on proof systems and their historical context, while advocating for tools that prioritize clarity and usability in mathematics.

Oracle is facing a decline in its stock value, along with other chipmakers like Nvidia and Broadcom, after reports that OpenAI has not met its user growth and revenue targets. This has raised concerns about OpenAI's ability to fulfill its financial commitments, including a $300 billion partnership with Oracle for computing power. OpenAI has denied these reports, asserting that it is committed to expanding its computing capacity.

Despite the stock declines, Oracle remains optimistic about its partnership with OpenAI, citing rapid adoption of its technology. Meanwhile, competition in the AI sector is increasing, with companies like Anthropic and Google gaining traction.

Some investors believe the report doesn't significantly impact the overall AI spending outlook, viewing it as confirmation of existing trends rather than a new issue. Others caution that revenue forecasts in the fast-evolving AI industry are highly uncertain.

Summary of SUPER ZSNES

SUPER ZSNES is a new SNES emulator created by the original developers of ZSNES. It has been completely rebuilt and features advanced technology to improve gaming experience. Here are the key points:

• Improved Accuracy: The emulator has better CPU and audio accuracy than the old ZSNES.
• Enhanced Graphics: It uses GPU power for high-resolution graphics and special features for individual games.
• User-Friendly Interface: The classic design has been updated for better usability.
• Gameplay Features: Includes fast forward, rewind, save states, bookmarks, cheat codes, and quick load options.
• Super Enhancement Engine: Currently supports enhancements for 7 popular games, with plans to add more. Features include high-resolution graphics, texture improvements, game overclocking, widescreen support, and better audio.

Downloads: Available for Windows, Mac, Linux, and Android, with an iOS version coming soon.

Future Updates: Bug fixes, special chip emulation, optimizations, more enhancements, and netplay features are planned.

Legal Note: This is an early version with potential bugs, and users must provide their own game ROMs. The team is not affiliated with any companies mentioned.

The author achieved a score of 65.2%, which is higher than Google's 47.8% and the closed-source model Junie CLI's 64.3%. They clarify that there was no cheating involved in their testing, stating:

1. No cheating files were used.
2. The testing was done according to the rules without modifying resources or time limits.
3. The test used the fully open-source version of the agent, identical to what is on GitHub.

The author had hoped to wait for their score to be officially added to the leaderboard, but after 8 days without a response from the maintainers, they decided to share their results. They emphasize the importance of the testing setup based on their findings.

The text explains the Prompt API for Chrome, which allows developers to integrate AI features using a model called Gemini Nano. Here are the key points:

1. Purpose: The Prompt API enables users to send natural language requests to Gemini Nano, facilitating various applications like AI-powered search, personalized news feeds, and calendar event creation.

2. Requirements:

   • It works on specific operating systems (Windows 10/11, macOS 13+, Linux, ChromeOS on certain devices) and requires at least 22GB of free storage.
   • A good GPU or CPU is necessary for optimal performance.

3. Features:

   • Supports multiple input types (text, audio, images).
   • Allows session management where previous interactions are tracked.
   • Users can customize sessions with parameters like temperature and response types.

4. Session Handling: Developers can create, clone, or destroy sessions as needed, manage context overflow, and append messages to enrich the conversation.

5. Multimodal Capabilities: The API supports handling various data types, allowing for tasks like transcribing audio or analyzing images.

6. Permissions and Access: The API is available in top-level windows and same-origin iframes by default, with specific permissions for cross-origin access.

7. Feedback and Participation: Users are encouraged to provide feedback and participate in shaping future versions of the API.

For more detailed use cases and examples, developers can refer to demos and best practices provided.

In 2022, the author aimed to join a small startup team before achieving product-market fit. They joined two college friends, Ron and Jimmy, who were developing a new browser based on Chromium, having secured $5.5 million in seed funding. The significant challenges were identifying what to build and ensuring market demand for it.

The team sought to create collaborative software that combined features like real-time multiplayer functionalities, chat, and rich text editing within a browser. This vision led to the development of two products, Sail and Muddy. Despite their innovative approach, the products struggled to gain traction. They were often seen as cool but not compelling enough for widespread adoption.

Key lessons learned from this experience included the importance of launching products early to gather user feedback and the need for clear positioning. The author reflected on various challenges, such as the difficulty of positioning a browser product and the risk of being perceived as just another chat app. They emphasized the need for a strong connection to user needs and practical workflows rather than just elegant designs.

The author also pointed out that successful startups often pivot from their initial visions and that having a well-reasoned thesis is crucial but not sufficient for success. The iterative process of testing ideas, learning from failures, and adapting to user feedback is vital.

Ultimately, the experience contributed significantly to the author's growth as a product thinker and builder, and they expressed excitement about future opportunities in technology, especially with the rise of AI. The narrative serves as a reflection on the challenges of startup life, the importance of understanding user demands, and the iterative nature of product development.

No summary available.

No summary available.

A new AI data center project called Stratos, approved in Utah, is set to consume 9 gigawatts (GW) of power, which is more than double the state's current average usage of about 4 GW. The project, developed by Kevin O'Leary's company on a large 40,000-acre site, will rely on natural gas and operate off-grid, meaning it won't draw power from the existing electrical grid. Instead, it will generate its own electricity through a connection to a natural gas pipeline.

The facility is part of a trend where large data centers are building their own power sources to avoid delays in connecting to the grid. O'Leary argues that the project is essential for competing with China's rapid advancements in AI infrastructure, which has seen the country add 400 GW of power in recent years.

To encourage development, the Utah Military Installation Development Authority (MIDA) has significantly reduced taxes on the project. This is expected to generate substantial tax revenue and create around 2,000 permanent jobs in the area. However, there are concerns about the environmental impact, as the data center could produce more emissions than the entire state of Utah. Critics worry about the potential pollution and resource strain from such large facilities.

No summary available.

Ineffable Intelligence, a new British AI lab founded by David Silver, a former DeepMind researcher, has raised $1.1 billion in funding and is valued at $5.1 billion. The company aims to develop a "superlearner" that can learn skills and knowledge independently using reinforcement learning, a method that relies on trial and error rather than human data.

Silver, who previously led the reinforcement learning team at DeepMind, was known for creating AI programs like AlphaZero, which learned to play games like chess and Go without human input. He believes that if successful, Ineffable's superlearner could lead to a major scientific breakthrough in understanding intelligence.

Silver has committed to donating any profits from the company to high-impact charities. The funding round was led by Sequoia Capital and Lightspeed Venture Partners, with participation from notable investors like Google and Nvidia.

Ineffable Intelligence joins a growing number of high-value AI startups in London, fueled by the presence of DeepMind and other tech giants in the area. Other similar startups, like AMI Labs and Recursive Superintelligence, have also raised substantial amounts of funding recently, indicating a burgeoning AI hub in London.

On April 23, 2026, Vivian Voss's book "Integrated by Design" was launched on UNESCO's World Book Day. The book, consisting of 371 pages on FreeBSD, explores the philosophy and practical aspects of design.

The writing process took five months, followed by three weeks of final proofreading. However, the last 72 hours before launch were filled with unexpected issues, which Voss details to help others avoid similar problems.

Key challenges included:

1. Font Issue: The numeral "8" in the font JetBrains Mono appeared incorrect on printed pages, requiring a fix that involved editing the font and recompiling the manuscript.

2. Cover Problem: The cover design had invisible adjustment layers that caused color shifts when printed. This was resolved by flattening the layers and re-exporting the cover.

3. Pricing Confusion: The pricing form on Amazon's KDP misled the author, resulting in a higher final price for customers due to added VAT. Adjustments were made to correct the price.

4. Kindle Edition Delay: The Kindle version was stuck in Amazon's review process, with no clear timeline for its release.

Voss encourages readers to check back for updates on pricing and the Kindle edition, which are expected to stabilize soon. The hardcover and paperback editions are already available for shipping.

The text discusses a technique for improving focus and productivity by staring at a wall. The author shares their experience after watching a video by Simple Lucas, which suggests avoiding screens and entertainment while working. When feeling mentally drained, taking a break to stare at a wall for a few minutes can help regain focus.

The problem many face is information overload, with people exposed to a growing amount of data daily, leading to "brain fog" and low motivation. The author often finds themselves in cycles of fatigue and reliance on caffeine and media to stay productive, but these habits can worsen focus.

To combat this, the author tried the wall-staring technique, incorporating practices like using peripheral vision and trying to think of nothing. They found it challenging but effective, resulting in improved focus and productivity. The author plans to continue this routine and share further insights in the future.

Proton's analysis of over 54,000 demographic profiles using 2025 ad auction data reveals significant differences in the advertising value generated by different Americans. On average, a U.S. user is worth about $1,605 annually to advertisers, but this can range drastically. For instance, a 35- to 44-year-old man in Bozeman, MT, generates around $17,929.30, while an 18- to 24-year-old father in Fort Smith, AR, brings in only $31.05—a 577-fold difference.

Key factors influencing this value include:

1. Demographics: Non-parents are generally more valuable than parents, and users between 35 and 44 are the most sought after.
2. Device: Desktop users are worth significantly more than mobile users, with iPhone users valued higher than Android users.
3. Geography: Ad value varies by location, with competitive markets like Bozeman and Edmond yielding higher prices.

The report emphasizes that Google's ad auction system assigns users a monetary value based on their attention and search behavior. It also raises concerns about privacy, especially for children, as they are profiled early in their online experiences.

The analysis highlights that many people unknowingly contribute substantial amounts to companies like Google over their lifetimes, emphasizing the importance of privacy-focused alternatives like Proton, which do not track user data for advertising.

The text discusses the concept of Not-a-Number (NaN) in the IEEE 754-2008 floating point standard, which represents values that aren't numbers. NaNs have a 51-bit "payload" that can be used creatively, such as storing additional type information in dynamically typed programming languages like JavaScript and Lua.

Key Points:

1. What is NaN?

   • NaN represents undefined or unrepresentable numerical values in floating point computations.

2. IEEE 754-2008 Standard:

   • This standard outlines how floating point numbers, including NaNs, are represented, ensuring consistency across different computer systems.
   • Special values include positive and negative infinity, and two types of NaNs: quiet (qNaN) and signaling (sNaN).

3. NaN Representation:

   • NaNs are encoded with all bits of the exponent set to 1. The first bit of the mantissa determines if it’s quiet or signaling.
   • Quiet NaNs carry diagnostic information, while signaling NaNs can raise exceptions when used in operations.

4. Payload Usage:

   • The 51-bit payload allows for creative uses, including storing type information in dynamically typed languages.
   • This technique, known as "NaN-boxing," lets non-floating point values be represented alongside their types within a NaN.

5. Real-World Applications:

   • JavaScript’s implementation (JavaScriptCore) uses NaN-boxing to efficiently store different data types in a compact form.
   • Other implementations, like Mozilla’s SpiderMonkey, have similar strategies.

6. Pros and Cons of NaN-boxing:

   • Pros: Saves memory, allows efficient operations.
   • Cons: Complexity in implementation, potential for security vulnerabilities.

The text highlights the flexibility of NaN in programming and its applications in modern software development, particularly in managing data types in dynamically typed languages.

Lenovo Group Limited has completed the acquisition of Phoenix Technologies' firmware (BIOS) technology business based in Dublin, Ireland. This deal includes related intellectual property and expertise, allowing Lenovo to enhance its firmware development capabilities for its PCs and future AI-enabled devices.

Luca Rossi, Lenovo's President of Intelligent Devices Group, highlighted that this acquisition strengthens Lenovo’s engineering skills and gives them more control over important software that impacts the computing experience. It aims to boost innovation, improve security, and create cost efficiencies.

Lenovo has had a partnership with Phoenix Technologies for over 20 years, with the latter providing BIOS for Lenovo's ThinkPad laptops. This acquisition will help Lenovo leverage that relationship to enhance its technology further.

Financial details of the transaction were not disclosed. Lenovo, a major global technology company, focuses on providing a wide range of AI-enabled devices and solutions, committed to innovation and a smarter future for all.

The article discusses a Supreme Court case involving geofencing, which is a method used by law enforcement to track people's movements through cellphone data within a specific area. The main issue at hand is whether this practice violates people's privacy rights under the Fourth Amendment. The court's decision could set important precedents for how technology is used in criminal investigations and how much privacy people can expect in the digital age.

7-Zip 26.01 has been released, introducing significant updates for Linux users. The key features include:

1. Huge Pages Support: 7-Zip can now use 2MB huge pages on Linux, which speeds up compression by about 10% for certain formats (7z, XZ, LZMA, LZMA2).

2. New Output Directory Options: There are new command options for setting the output directory when extracting files:

   • -spod: Specifies a direct path without replacing an asterisk (*) with the archive name.
   • -spoc: Combines the specified path with the archive name.
   • -spor: Replaces the asterisk in the path with the archive name (this is the default setting).

Additionally, the update includes various bug fixes. More information and downloads are available on GitHub.

The standard GPU utilization metric from tools like nvidia-smi and others can be misleading because it shows high utilization percentages even when the GPU is not fully used. This can lead teams to think their systems are fully utilized when they are not. To address this issue, a new open-source tool called Utilyze has been developed. It measures GPU performance more accurately by looking at real compute and memory usage compared to the hardware's maximum potential. This tool also provides an estimate of the highest possible utilization for specific workloads. You can find it on GitHub: Utilyze. Feedback is welcome!

In the early 1900s, the rise of mail-order occult courses reflected a new wave of spiritual interest in America, offering various practices like meditation, astrology, and hypnotism directly to consumers. Advertisements promised to reveal secrets of personal magnetism and other mystical topics, appealing during a time of significant social and economic change.

This era saw the emergence of organizations like Sydney Flower's Psychic Research Company, which provided a range of correspondence courses on spiritual development. Despite some charlatans, many of these organizations operated earnestly and offered affordable lessons that attracted thousands of followers.

Prominent figures like Harvey Spencer Lewis founded well-known groups such as the Ancient Mystical Order Rosae Crucis (AMORC), which combined esoteric teachings with a humanistic approach aimed at improving personal well-being. Other courses drew on psychological principles, anticipating modern therapeutic practices like cognitive-behavioral therapy.

Overall, these mail-order occult societies adapted traditional spiritual practices to fit a modern consumer culture, focusing on self-improvement and personal empowerment rather than communal religious experiences. They provided tools for individuals seeking meaning and stability in a rapidly changing world, but often at the cost of deeper spiritual engagement.

China has blocked the acquisition of an artificial intelligence startup called Manus by foreign investors. This decision reflects China's ongoing efforts to control its technology sector and protect its domestic companies from foreign influence.

In a leadership meeting, an Engineering Manager learned that a new team, the CX Tribe, was created without their input. This decision aimed to improve customer experience by building a new dashboard, but it caused communication issues because the team did not report to the tribe leaders. The team struggled to resolve customer support tickets efficiently due to a lack of proper tools and autonomy.

To address these issues, the Engineering Manager decided to create individual dashboards for each product team instead of relying on the new CX team. This approach allowed for quicker response times and reduced the workload on developers. However, the CX team initially resisted using the new dashboards, leading to a reliance on a product manager who became overwhelmed.

The key takeaway is that the original decision to create the CX team was flawed, as it did not take into account the existing structure and challenges. The Engineering Manager's decision to focus on team autonomy and immediate solutions ultimately proved more effective, leading to improved ticket resolution times. In the end, the CX team was disbanded after five months due to lack of progress, and the focus shifted to individual team dashboards that met the immediate needs of the business.

DSPi Firmware Summary

DSPi is a tool that turns a Raspberry Pi Pico or similar RP2040-based board into a cost-effective digital audio processor. It functions as a USB sound card with a built-in DSP engine, offering features like room correction, active crossovers, equalization, time alignment, loudness compensation, and headphone crossfeed. The goal is for the RP2040 and RP2350 platforms to be recognized as versatile audio solutions, costing less than a coffee.

Key Features:

• USB Audio Interface: Compatible with macOS, Windows, Linux, and iOS, supporting various audio formats.
• Output Options: Offers multiple stereo output slots (up to 8 on RP2350) that can switch between S/PDIF and I2S.
• DSP Functions: Includes per-channel preamps, matrix mixer, equalization, volume leveling, loudness compensation, headphone crossfeed, and more.
• User Presets: Allows users to save and manage up to 10 different DSP configurations.
• Diagnostics: Features for monitoring system performance and errors.

Platform Support:

• RP2040: Supports 7 channels and 5 outputs.
• RP2350: Supports 11 channels and 9 outputs, with better processing capabilities due to hardware enhancements.

Audio Processing Pipeline: The audio processing follows a linear chain, starting from USB input, through various DSP processing stages, and ending with output.

Setup Instructions:

• Firmware Flashing: Download the DSPi firmware, connect the Pico while holding the BOOTSEL button, and transfer the firmware file.
• Wiring: Specific GPIO pin connections are provided for output configurations.

Developer Resources: Includes detailed documentation for building firmware from source, specifications for various features, and a roadmap for future developments.

In summary, DSPi is a powerful and adaptable audio processing solution designed for easy integration and extensive customization, suitable for both casual users and developers in the audio field.

The author discusses how they wanted to reduce screen time while staying updated with news and information in the morning. They bought a dot matrix printer and set up a system to print a custom "front page" daily.

Key points include:

1. Project Setup: The author used a Star NP-10 dot matrix printer, a Raspberry Pi Zero W, and a USB adapter. They successfully connected the printer to the Pi and resolved initial permission issues.

2. Programming: They wrote a PHP script to send data to the printer, learning about the printer’s character set and formatting requirements.

3. Data Sources: The author gathered information from various free APIs for weather, stocks, news headlines, and Reddit posts, aiming for a personalized printout.

4. Printing Process: They implemented formatting for the printed output, ensuring it was visually appealing and easy to read. The script was set to run automatically every morning via a cron job.

5. Conclusion: The author enjoys this project as it provides a tangible and focused way to consume news, contrasting with mindless scrolling on screens. They express enthusiasm for future projects with the printer and invite feedback from readers.