No summary available.

The text discusses the challenges of displaying Icelandic personal names in user interfaces due to declension, where names change form based on their grammatical case. Each name has four forms corresponding to different cases, and using the wrong form can make a sentence sound awkward.

A JavaScript library called "beygla" was created to solve this problem by applying the correct grammatical case to names stored in the nominative case. The library uses a compressed trie data structure, derived from Icelandic naming data, to efficiently store and retrieve the declension rules. This trie is compact, reducing the overall size of the library to just 3.27 kB.

The process involved using a publicly available database of Icelandic names to obtain declension data and applying clever compression techniques. The trie structure allows for quick lookups, even for names not originally included in the data set, by identifying patterns in suffixes.

Testing showed that the library predicts the correct declension 74% of the time for names without data, with a low overall error rate when applied to common names. The library is utilized in official contexts, like the Icelandic judicial system, where accuracy is crucial.

In conclusion, "beygla" effectively addresses the complexities of Icelandic name declension while maintaining a small bundle size, with potential applications to other languages with similar features.

No summary available.

No summary available.

Unikernels are specialized, lightweight virtual machines designed to run a single application, much like a private villa that offers exclusive use of all its resources. They provide a unique application environment free from the overhead of traditional operating systems like Linux and Windows, which manage multiple applications and consume unnecessary resources.

Key features of unikernels include:

• They merge the application and operating system into a single executable image, making the system smaller, faster, and more secure.
• They reduce resource consumption and improve boot times, as they only include essential components.
• They can be run on various hypervisors and local devices, enabling efficient virtualization.

There are different types of unikernels, with Nanos and Unikraft being two notable examples. Nanos is flexible in running on various cloud providers, while Unikraft leverages its own cloud structure for performance.

Building a Nanos unikernel involves setting up a Linux environment, installing necessary tools, and following a series of steps to create and deploy the application on platforms like AWS. Nanos typically performs better than Linux in execution time and I/O operations for specific tasks, making it suitable for lightweight microservices and rapid application prototyping.

However, unikernels also face challenges such as:

• Complexity in development and limited functionality of existing tools.
• A less developed ecosystem compared to traditional systems, leading to fewer libraries and community support.
• Debugging difficulties due to their binary nature and limited system call support.

In summary, unikernels offer a promising approach to application deployment, improving efficiency and security while presenting some challenges in development and support. As their ecosystem grows, unikernels may play a significant role in the future of application delivery.

The author attempted to create a "perfect scramble" for a Rubik's Cube, where no two squares of the same color touch each other. After struggling with random scrambles, they sought help online and found that it was indeed possible to meet specific criteria for such a scramble.

Key Requirements for the Perfect Scramble:

1. Each face must display every color.
2. No more than two squares of the same color should appear on any face.
3. No two squares of the same color can touch side-by-side.
4. No two squares of the same color can touch diagonally or at corners.
5. Every face must have a different pattern.

The author developed a method to programmatically generate cube arrangements, realizing that checking all 43 quintillion possible combinations manually was impractical. They created lists of corner and edge combinations, ensuring that the resulting arrangements met the criteria while also maintaining the solvability of the cube.

After five days of computation, the program found a unique solution that meets all requirements, allowing for 48 distinct arrangements. The author also discussed potential improvements for the program, such as making it faster and considering additional requirements.

In conclusion, the perfect scramble is a complex arrangement of the Rubik's Cube that fulfills stringent conditions, and the author's program successfully identified this unique scramble from an immense number of possible configurations.

Summary of "6 Weeks of Claude Code"

In just six weeks, the author shares their transformative experience with Claude Code, which has greatly impacted their approach to writing and managing code. They feel a newfound freedom in programming, allowing them to create complete scenes quickly instead of coding line by line. This change is likened to the introduction of photography in art, making traditional coding methods less appealing.

The author has completed numerous side projects, improving their codebase significantly while still managing their regular work. Tasks that used to take weeks now take much less time, enabling them to tackle technical debt more efficiently. They emphasize the ease of starting new projects and exploring ideas without fear of failure.

The article also discusses how Claude Code enhances collaboration and experimentation within their team, allowing for faster game design and development processes. Although the author notes that the pace of pull requests and commits hasn't drastically changed, they feel the internal momentum has increased.

The tool encourages experimentation, letting developers learn from its outputs while still engaging in hands-on work. The author advises against obsessing over trends in AI tools, stating that Claude Code has been sufficient for their needs.

Overall, the author sees Claude Code as a powerful ally in programming, likening it to a patient pair programming partner that helps produce quality code rapidly.

No summary available.

The text discusses cache eviction policies in computer architecture, focusing on the effectiveness of different strategies when a cache is full.

Key points include:

1. Eviction Policies:

   • Least Recently Used (LRU) is often preferred because it tends to keep recently used data. However, it struggles when a loop exceeds cache size, leading to constant misses.
   • Random eviction can perform surprisingly well, particularly in larger caches.

2. Comparison of Policies:

   • A hybrid approach called 2-random (choosing between two random options and then using LRU) shows competitive performance against LRU, especially in larger caches.
   • Overall, LRU performs better in smaller caches, while 2-random is favored in larger caches.

3. Simulation Results:

   • The study uses SPEC CPU benchmarks to compare miss rates across various cache sizes and policies.
   • Pseudo-random policies (like pseudo 2-random and pseudo 3-random) can be implemented with minimal resource overhead and show promising results.

4. Mathematical Insight:

   • The concept of choosing among multiple random options (like 2-random) can significantly reduce the maximum load in systems, making it applicable in various computing scenarios beyond caching.

5. Future Directions:

   • There is potential for further exploration of eviction policies, including different strategies for different cache levels and applications beyond CPUs.

Overall, the findings suggest that while LRU is effective for smaller caches, 2-random and its variants might provide better performance for larger caches, making them worth considering in modern computing architectures.

No summary available.

Summary:

The text discusses the /o modifier in Ruby regular expressions, which stands for "Interpolation mode." This feature caches the first interpolated regex value, meaning it only evaluates once for all future uses, which can lead to unexpected behavior and bugs in code.

The author shares a personal experience while reviewing a piece of code that used the /o modifier incorrectly. Initially, the output seemed broken because the regex was not re-evaluating for different inputs; it retained the first value it encountered. Upon investigation, the author discovered that /o caches the regex, causing it to act like a constant after the first evaluation.

The text explains how the Ruby VM handles this caching with a special instruction called "once," which ensures that the regex is only evaluated a single time, regardless of how many times the method is called. This behavior can lead to non-deterministic results, especially in multi-threaded environments.

The author advises against using the /o modifier due to its complexity and potential for introducing bugs. They suggest that caching regex manually would be a safer alternative. The text concludes by noting that while the /o modifier exists for optimization, it is best avoided to prevent confusion and errors.

Cerebras is launching two new plans to simplify and speed up AI coding: Cerebras Code Pro for $50/month and Code Max for $200/month. Both plans provide access to Qwen3-Coder, a powerful coding model that generates code at a speed of 2,000 tokens per second, with no limits on weekly usage.

Key features include:

• Instant code generation, reducing waiting time during coding.
• Compatibility with various coding tools and editors that support OpenAI endpoints, allowing integration into existing workflows.

Plan details:

• Cerebras Code Pro ($50/month): Allows up to 1,000 messages per day, perfect for indie developers and simple projects.
• Cerebras Code Max ($200/month): Allows up to 5,000 messages per day, suitable for full-time developers and complex coding tasks.

Both plans are available now, and users can start using them immediately without any waitlist.

Summary: Financial Lessons from Long-Term Care Insurance

Adam Safdi shares his family's experience with long-term care (LTC) insurance after his father was diagnosed with dementia. Here are the key points:

1. Initial Situation: Adam received a distressing call about his father's confusion and wandering, which led to a diagnosis of dementia.

2. LTC Insurance Background: Adam's parents had purchased LTC insurance in 2004, paying around $14,000 a year for 10 years, but Adam was unaware of the policies until after his mother's passing.

3. Filing a Claim: Adam and his brother initially struggled to find the policy but learned that calling the insurance company directly was more effective than emailing. They were then sent an application to file a claim.

4. Insurance Evaluations: The insurance company requires an evaluation for claims, which can cause delays.

5. Professional Help: While waiting for claims to process, they hired in-home care services, but payments only start after 90 service days (days with professional care), not calendar days.

6. Indemnity Rider: Adam's father's policy had an indemnity rider that provides a daily benefit regardless of actual care costs, helping cover expenses.

7. Tracking Services: Adam kept a tally of care service days and discovered discrepancies with the insurance company's records, which required careful monitoring.

8. Care Notes: The insurance company also required detailed care notes to process payments, highlighting the need for proper documentation from care providers.

9. Checking Payments: Ongoing checks are necessary to ensure payments align with services provided, and issues can arise with how invoices are processed.

10. Agent Assistance: Adam found support from the insurance agent who helped his parents, which was crucial in navigating challenges with the insurance company.

Overall, the experience emphasized the importance of understanding LTC insurance policies and being proactive in managing claims and care for elderly parents.

Go's data race detector has limitations that can cause it to miss certain data races, even when they are evident to a human observer. The issue arises in scenarios where a mutex is used to safeguard shared data, but an additional unguarded write occurs in one of the threads.

In the provided example, two threads increment a shared counter, where one thread uses a mutex to lock access, while the other increments the counter without locking. If the thread that locks the mutex runs first, both threads can access the counter simultaneously, leading to a potential data race. However, Go's race detector might not always catch this race unless it actually occurs during execution.

Go detects data races by analyzing the "happens-before" relationships between operations. If the order of operations allows one thread's actions to be independent of another's, a race is reported. While Go's tool is effective at identifying races under varying execution timings, it can overlook races in cases where the execution order appears safe due to how locks are modeled.

Despite these limitations, Go's data race detector is considered one of the best tools available for identifying data races in programming, highlighting the importance of understanding its boundaries to ensure code safety. Just because the detector reports no races does not guarantee that the code is free from potential issues.

Palo Alto Networks has announced its plan to acquire CyberArk, a company specializing in identity management and security, for $25 billion. This acquisition, which involves both cash and stock, is Palo Alto's largest to date and marks its entry into the identity security market. Since CEO Nikesh Arora took over in 2018, Palo Alto has made several acquisitions totaling over $7 billion, including recent purchases like Dig Security and Talon Cyber Security. This deal is one of the biggest in the cybersecurity industry for 2025, following Google’s $32 billion acquisition of Wiz earlier this year.

Summary:

David Hill, a prominent designer behind the ThinkPad laptops, discusses his experiences and ideas related to ThinkPad's design. The ThinkPad, launched in 1992, is known for its unique features like the TrackPoint nub and butterfly keyboard. Hill worked on the ThinkPad from 1995 to 2017, overseeing innovations and attempting to introduce new designs, such as additional models with butterfly keyboards and portable workstations that could fold like laptops.

He highlights the importance of the TrackPoint, which has evolved over the years, and the ThinkLight, an overhead light that illuminated the keyboard before backlighting became standard. Hill values the ThinkPad’s consistent design language, favoring "purposeful evolution" over radical changes. He also reflects on past challenges, including the transition to a six-row keyboard due to changing laptop designs and a failed attempt to develop portable workstations.

Overall, Hill expresses pride in the ThinkPad’s legacy while acknowledging missed opportunities and innovations that never reached the market.

Summary of Coffeematic PC by Doug MacDowell

Doug MacDowell created the Coffeematic PC, a unique coffee maker combined with a retro gaming computer. He found an old GE Coffeematic coffee maker at a thrift store and decided to turn it into a functional computer. The Coffeematic PC brews coffee while also using the hot liquid to cool its internal components, which is an innovative approach not seen in previous coffee maker computers.

Coffeematic PC is part of a lineage of coffee maker computers that started in 2002, with notable builds including The Caffeine Machine, the Zotac Mekspresso, and the Mr. Coffee PC. There was a 15-year gap in these builds, which MacDowell questions, wondering about the reasons behind the lack of creativity during that time.

The project took a month to design and build, using a mix of old and new parts, including a mid-2000s motherboard and a modern solid-state drive. The resulting machine is quirky and functional, producing coffee that tastes like it was made in a 1970s coffee maker.

MacDowell's work inspired an art exhibition called Sparklines, where he explores the gap in coffee maker computer creations through hand-drawn data visualizations. He invites others to share any overlooked coffee maker computer builds.

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Summary of Research on Aerodynamic Drag in Cyclist Formations

This study investigates how different formations of cyclists can reduce aerodynamic drag for a protected rider during races. The research, based on high-resolution computational fluid dynamics (CFD) simulations and wind-tunnel tests, analyzed 27 formations involving groups of 3, 4, and 5 cyclists.

Key Findings:

1. Traditional Formation Inefficiency: The common single paceline formation, where riders line up straight behind one another, is not the most effective for shielding the protected rider from wind.
2. Optimal Formations:
   • 3-Cyclist Formation: An inverted triangle formation can reduce drag on the protected rider by up to 39%. However, this increases drag for the leading cyclists.
   • 4-Cyclist Formation: A diamond formation reduces drag on the protected rider to 38%, benefiting all riders involved.
   • 5-Cyclist Formation: A 2x2 formation in front of the protected rider can lower drag to 24%, significantly better than the traditional paceline.

Context: When a lead cyclist faces a setback like a flat tire or crash, teammates need to minimize the protected rider's wind resistance to help them return to the main group. The study suggests that using alternative formations can enhance efficiency and speed during these situations.

Practical Implications: Teams should consider adopting these alternative configurations during races, particularly in critical scenarios where energy conservation for the protected rider is essential.

Study Limitations: The simulations assumed still air conditions and did not account for dynamic cycling postures or interactions with crosswinds, which should be explored in future research.

In conclusion, the study indicates that abandoning the single paceline for more specialized formations can greatly improve aerodynamic efficiency for cyclists in races.

The text is a link to a discussion on Hacker News from July 2025, which has 105 comments. The details of the discussion are not provided, but it indicates that there was a significant conversation on the topic mentioned in the link.

Summary of Ladybird Updates for July 2025

In July 2025, Ladybird saw significant contributions, merging 319 pull requests from 47 contributors. The project welcomed new sponsors, including Scraping Fish and Blacksmith, who helped fund its continued development.

Key Updates:

1. Web Platform Tests:

   • Added 13,090 new passing tests, bringing the total to 1,831,856.

2. Google reCAPTCHA:

   • Fixed an issue with postMessage, allowing Google reCAPTCHA to pass on their site.

3. High Refresh Rate Support:

   • Ladybird now supports rendering at up to 120Hz, improving animations and scrolling.

4. HTTP/3 Support:

   • Enabled HTTP/3 negotiation with servers that support it via the Alt-Svc header.

5. Trusted Types:

   • Initial support added to enhance security against cross-site scripting (XSS).

6. SVG foreignObject Improvements:

   • Enhanced handling of embedded HTML within SVG for better compatibility.

7. CSS Enhancements:

   • Added support for content: url(...) in pseudo-elements.
   • Introduced new pseudo-classes :state(foo) and :unchecked for improved styling.

8. Logical Property Groups:

   • Improved CSS property handling for better fidelity and performance.

9. Arbitrary Substitution Functions:

   • Updated implementations of var() and attr() to be more robust and compliant with CSS specs.

10. <syntax> Parsing:

    • Supported new CSS syntax for attribute value parsing, enhancing CSS Houdini support.

11. @property Progress:

    • Started implementing support for @property declarations and CSS.registerProperty().

12. UTF-16 Implementation:

    • Transitioned internal string handling to native UTF-16 to simplify operations and reduce bugs.

Credits: Thanks to the many contributors who helped with these updates this month.

No summary available.

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Nicholas Khami, a founder of Trieve, faced a frustrating search issue on Mintlify, where search results were often inaccurate due to a bug. Despite raising the issue previously, it wasn't prioritized for fixing. Once he joined the Mintlify team, he was able to resolve the problem by adding an AbortController to the search function, ensuring results were relevant to what users were currently typing. Khami finds satisfaction in solving such issues and appreciates the empowerment that comes with open source software, where users can directly fix bugs. He feels proud to have improved Mintlify's search functionality and looks forward to making more enhancements.

The text suggests that businesses should shift their focus from B2C (business-to-consumer) to B2A (business-to-administration). This means that instead of primarily targeting individual consumers, companies should concentrate on working with government and administrative bodies. The idea is that there is a growing opportunity in collaborating with public sectors rather than just selling directly to consumers.

No summary available.

A group of developers, including Aaron Ballman, Shafik, Endill, and Corentin, are proposing improvements to the safety and security of C and C++ programs. While the standardization committees (WG21 for C++ and WG14 for C) are working on this, they face limitations in speed and scope. The proposal emphasizes that the responsibility for enhancing safety falls on implementations like Clang.

Currently, Clang offers various safety mechanisms, but they are not well-organized or documented, making it hard for users to access them efficiently. The team aims to unify these mechanisms into a user-friendly "hardened mode."

Key goals for this mode include:

• Automatically enabling safety-related compiler flags and settings.
• Setting clear user expectations about potential code breaks in future compiler versions.
• Allowing users to specify the language standard, avoiding older, less secure versions.

The team is considering different ways to implement this functionality, such as:

1. Config File: Users could set the hardened mode via a configuration file for easier maintenance.
2. Driver Mode: Introducing a new driver mode could change user expectations about compiler updates, although it may complicate integration with existing build systems.
3. Orthogonal Flags: Separate flags for different types of settings could allow users to choose their preferences.
4. Single Flag: A single flag could enable all safety features at once, but this might create compatibility pressures with GCC.

The group is seeking community feedback on whether to proceed with a hardened mode and how to implement it effectively.

Here’s a simplified summary of the text:

• When posting job openings, specify the work location: use "REMOTE" for remote jobs, "REMOTE (US)" for US-only remote positions, and "ONSITE" when remote work isn't allowed.
• Only individuals from the hiring company should post jobs, not recruiters or job boards. If the company isn't well-known, provide a brief description of what it does.
• Ensure you are actively hiring and will respond to applicants.
• Comments on job posts should avoid complaints or off-topic discussions.
• Interested job seekers should only email if they are genuinely interested in the position.
• For job searches, several helpful links are provided for finding job opportunities.
• Additional threads for job seekers and freelancers are also available.

Summary:

Cadence Design Systems Inc., a technology company based in San Jose, California, has agreed to plead guilty to illegally exporting semiconductor design tools to the National University of Defense Technology (NUDT) in China, which is linked to the Chinese military. Cadence will pay over $140 million in penalties, including nearly $118 million in criminal fines and more than $95 million in civil penalties.

NUDT was added to the U.S. Department of Commerce's Entity List in 2015 due to its military activities. From 2015 to 2021, Cadence and its subsidiary in China sold sensitive technology to NUDT without the required licenses, knowing it was illegal. Cadence has since taken steps to improve its export compliance program.

The plea agreement is pending approval by a federal judge, and the case was investigated by the FBI and the Department of Commerce.

Ethersync Summary

Ethersync is a tool that allows multiple users to edit text files together in real-time, making it ideal for pair programming and note-taking. It works alongside Git and offers several key features:

• Simultaneous Editing: Multiple users can edit files at the same time using different text editors.
• Cursor Visibility: Users can see where others are working in the document.
• Full Project Access: Users can collaborate on entire projects as usual.
• Secure Connections: It uses encrypted peer-to-peer connections, eliminating the need for a server.
• Local Access: You can use it offline and still have full file access.
• Easy Plugin Development: It supports a simple protocol for creating new editor plugins.

Installation Steps:

1. Install the ethersync command, which is available for Linux, macOS, Android, and Windows Subsystem for Linux.
2. Install an editor plugin for Neovim or VS Code/Codium.

Basic Usage: To share a directory, run ethersync share. Another user can connect by using the provided join code. Changes are synced instantly, allowing for real-time collaboration.

Community and Contributions: Ethersync is still in development, and users are encouraged to contribute code or report bugs. There are ongoing projects for plugins for Jetbrains, Emacs, and a web editor.

Contact and Support: For questions, users can reach out on GitHub or social media.

Funding and License: Ethersync has received funding from various organizations and is licensed under the GNU Affero General Public License.

No summary available.

No summary available.

Summary of "The Bitter Lesson" Discussion

The concept of "the bitter lesson," introduced by Rich Sutton, highlights that the most effective methods in AI come from general computational approaches rather than human-centered knowledge building. While incorporating human knowledge may provide short-term benefits, it often leads to stagnation. True breakthroughs in AI arise from scaling computation through search and learning.

This idea relates to broader themes of human humility, as it challenges our perception of our importance in the universe, akin to historical revelations by Copernicus, Darwin, and Freud.

Ethan Mollick recently discussed the bitter lesson in relation to business processes. He noted that organizations often operate chaotically, making it difficult to implement AI effectively. While some companies have begun to use AI informally, scaling AI across organizations is challenging due to unclear processes.

Mollick argues that if organizations can define quality and provide examples, they can achieve results similar to those in more quantifiable fields like chess or speech recognition. However, skepticism arises because high-quality data is crucial for implementing the bitter lesson successfully. Many organizations struggle to define their objectives clearly, and the data they work with can be biased or insufficient.

In the chess example, the Stockfish AI program succeeded not by simply scaling computation, but by integrating smaller, efficient models, demonstrating that practical applications can sometimes outperform general approaches.

Overall, while the bitter lesson offers valuable insights, it has limitations in real-world applications. It’s essential for AI developers to balance general computational methods with tailored human logic to effectively address their unique challenges.

Jin-su, a North Korean defector, shared his experience of being sent abroad as an undercover IT worker for the North Korean regime. He used fake IDs to secure remote jobs with Western companies, earning about $5,000 a month, with 85% of his earnings sent back to support the regime. This covert operation, which has been growing since the pandemic, generates between $250 million and $600 million annually for North Korea.

Most North Korean IT workers work in teams and often impersonate Westerners to evade international sanctions. Jin-su described how he collected identities from people in various countries to apply for jobs, mainly targeting the US market for higher salaries. He noted that many companies unknowingly hire multiple North Koreans.

Despite the oppressive conditions in North Korea, Jin-su found more freedom while working abroad, though most workers do not consider defecting due to fears of punishment for their families. After escaping, Jin-su continues to work in IT but earns less than before, though he keeps more of his income. He reflects on the difference between illegal work for the regime and earning money legitimately.

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Patrick and James have created a tool called Artificial Societies that allows businesses to simulate their target audience. This helps them test marketing messages and content before launching.

Key points about Artificial Societies:

• Purpose: It helps marketers find the best version of their message without wasting money. Traditional experiments are slow and costly, but simulations are quick and affordable.

• How It Works: The tool creates AI personas based on real data from social media. Users can draft messages and run simulations where these personas interact. Results are generated in about 30 seconds to 2 minutes, offering insights to improve messaging.

• Challenges: The main issues are ensuring accuracy and making the user interface appealing. They've had promising results predicting LinkedIn post performance, but they still need to refine their model for other contexts.

• Background: Both founders are behavioral scientists with experience in A/B testing and data science. They decided to create this startup after exploring the potential of simulations.

• Pricing: It's free to try, with new users receiving 3 credits and a two-week free trial. Pro accounts cost $40/month for unlimited simulations, with plans for team and enterprise pricing in the future.

They invite users to try the tool and provide feedback.

Summary:

Recent advancements in ferroelectric technology are helping to improve transistors by using negative capacitance, which enhances gallium nitride (GaN) devices. This innovation allows for better performance without the usual drawbacks, such as increased leakage current. This breakthrough could lead to more efficient semiconductor devices.

This website was created as a fun project to practice coding and using Google Cloud Platform (GCP). It gained some attention on various sites like Morning Brew and MetaFilter. The project includes a basic Convolutional Neural Network (CNN) that is trained to identify inappropriate images, like penises and swastikas. If an image doesn't meet a 63% confidence score, it goes to a moderation queue. The project, described as a "vibe-coded fish-tinder," took about a month to complete. The website's frontend uses HTML5 and is hosted on GitHub Pages, while the backend runs on Node.JS with GCP.

No summary available.

No summary available.

The author discusses their experience with tmux, a terminal multiplexer they have used for over seven years. They initially had concerns about switching away from tmux due to its features like session persistence and window management. However, they found that tmux's complexity and issues, such as color rendering problems, scrolling difficulties, and lack of support for some terminal features, were frustrating.

After exploring alternatives, the author discovered tools like dtach, abduco, and shpool, which focus on session persistence without the complexities of tmux. They found shpool to be the most promising, allowing for effective detachment and reattachment of sessions.

By integrating shpool with their local window manager and using SSH configuration to connect easily to sessions, the author successfully replaced tmux in their workflow. They appreciate improvements like native scrollback and better terminal notifications, although some issues remain, such as restoring terminal state and multiplayer support. Overall, the author feels that their new setup enhances their productivity and addresses several shortcomings of tmux.

Job Opportunity: Software Engineer at Coverage Cat

• Position: Full-time Software Engineer
• Experience Required: At least 6 years
• Salary: Starting at $140,000+

About the Company: Coverage Cat is an innovative insurance broker focused on improving financial outcomes for Americans. They aim to make the insurance industry more transparent and simplify policy understanding using AI and data.

Role Overview:

• Join a team dedicated to building user-friendly products.
• Responsibilities include developing features from start to finish, analyzing customer data, and providing helpful tools for decision-making.
• The goal is to solve customer problems, save them money, and protect their important assets.

Posted: July 30, 2025
Last Updated: July 30, 2025

DeepSeek won the best paper award at ACL 2025. For more details, you can visit the awards page here.

No summary available.

The project started in 2016 to provide apps that require fewer permissions than typical apps. Initially, they launched Privacy Friendly Torchlight and have since expanded their app selection to over 30, with more than 350,000 installs.

However, by 2025, maintaining these apps on Google Play has become too demanding for the research group. While current users will not lose their installed apps, they won't receive updates from Google Play, which may lead to compatibility issues in the future.

To continue receiving updates, users are encouraged to switch to the F-Droid Store, where the apps will still be available. Migration instructions are provided to help users transition smoothly while keeping their data.

For any questions, users can contact the team at good-bye-google∂secuso.org.

Saturday morning cartoons, once a staple for children, have significantly declined in popularity. Gerard Raiti explores the reasons behind this shift.

In the past, major networks like ABC, CBS, and NBC dominated Saturday mornings with cartoons that attracted over 20 million viewers. Nowadays, only ABC Kids, FOX Kids, and Kids WB! air cartoons, and they struggle to reach even 2 million viewers, despite a growing child population.

Several factors contribute to the decline in Saturday morning cartoon viewership:

1. Increased participation in recreational sports.
2. The rise of cable and satellite TV.
3. Greater access to the Internet and video games.
4. A decline in the quality of animation.
5. More emphasis on family activities due to changing family dynamics, such as divorce.

Parents today prioritize spending quality time with their children, often opting for outings instead of letting them watch TV.

The landscape of children's programming has changed dramatically. Major networks have reduced their cartoon offerings, with NBC and CBS shifting towards live-action shows, while cable networks like Nickelodeon and Cartoon Network have become the primary sources for children's entertainment. These channels offer 24/7 access to cartoons, which diminishes the appeal of watching them specifically on Saturday mornings.

The success of cable channels during the week has led to lower Saturday morning ratings, as children no longer feel the need to tune in at a specific time. Additionally, the competition from cable and changing interests among kids have shifted viewership patterns away from traditional cartoons.

Financial challenges also plague Saturday morning cartoons. Production costs have risen, but ad revenue has decreased, making it difficult to maintain quality programming. Advertisers now prefer targeting smaller, niche audiences, and children's buying power has increased, making toys and games linked to programs more significant than the shows themselves.

Looking ahead, the rise of DVRs and on-demand viewing may further change how children consume content. While the golden age of Saturday morning cartoons is over, the memories of that era remain cherished, and the trend is unlikely to revert to its former state.

The website uses a system called Anubis to protect against automated bots that scrape data. Anubis employs a method similar to a Proof-of-Work scheme, which makes it harder and more costly for these bots to access the site. This system aims to reduce the downtime caused by scrapers while allowing legitimate users to access the site more easily. To get past the security challenge, users need to enable modern JavaScript features, which may be blocked by certain browser plugins. Overall, Anubis is a temporary solution while better methods for identifying bots are developed.

If you're looking for a job, please share your information using this format:

• Location:
• Remote:
• Willing to relocate:
• Technologies:
• Résumé/CV:
• Email:

Only post if you are personally seeking work. Do not post if you are an agency, recruiter, or job board.

Readers should only email the provided addresses to discuss job opportunities. You can find these job posts at wantstobehired.com.

Summary

The author shares their experience with keyboards, focusing on ergonomic issues and typing efficiency. After developing repetitive strain injury (RSI) at 18, they switched to the Dvorak keyboard layout and later explored various ergonomic keyboards, settling on the Ergodox EZ and the Svalboard Lightly.

Key Points:

1. Background and Ergonomics:

   • The author has been a heavy computer user since youth and switched to the Dvorak layout to alleviate RSI symptoms.
   • They emphasize the importance of ergonomic features like split halves, tenting, and thumb clusters in keyboards to reduce wrist and arm strain.

2. CharaChorder Experience:

   • The CharaChorder aims to improve typing speed with minimal finger movement through chording. However, the closed-source OS and ergonomics issues led to dissatisfaction.

3. Svalboard Lightly:

   • A successor to the DataHand, the Svalboard features individual key clusters for each finger, using infrared sensors and magnets instead of traditional switches.
   • It runs QMK firmware, allowing for high customization and easy adjustments.
   • The author appreciates the ability to tweak the layout for comfort and efficiency.

4. Setup and Usage:

   • The Svalboard is mounted on a chair for consistent positioning, which improves typing ergonomics.
   • The author developed a unique layout for the Svalboard, although they faced challenges in adjusting to it, particularly due to interference with their Dvorak muscle memory.

5. Challenges and Advantages:

   • While the Svalboard has some minor build issues and is costly, the author finds its ergonomic benefits and customization worth the investment.
   • They note the importance of proper configuration for comfort and usability, and mention the challenges of typing speed and key press repetition.

6. Conclusion:

   • After six months, the author reports improved typing comfort and speed. They encourage others to consider the Svalboard or similar ergonomic keyboards for better typing experiences, while also highlighting the learning curve involved in adapting to new layouts.

Overall, the author advocates for ergonomic keyboards like the Svalboard, emphasizing their comfort and customization potential despite some challenges.

No summary available.

The text discusses how to effectively use AI coding tools by balancing the amount of context you provide versus what the AI handles. Here are the key points:

1. AI Coding as a Skill: Knowing how much to rely on AI versus your own understanding is crucial. Misjudging this can lead to wasted time or misunderstandings.

2. Context Spectrum: There’s a range from fully human involvement to fully AI handling:

   • ChatGPT Dialog: Engaging in discussions about your coding problems, similar to talking with a colleague from another company. This helps you clarify your thoughts and assumptions.
   • Knowledge Questions: Asking specific questions about your project, akin to consulting a trusted coworker. This provides answers relevant to your context but may lack deep insights.
   • Proposed Changes: Receiving targeted suggestions from AI that you can copy-paste, which is convenient but may reduce learning.
   • Actual Coding: Delegating coding tasks to AI, similar to assigning work to a less experienced colleague. This requires trust in the AI to perform tasks correctly.

3. Trust and Context: As you allow AI to take on more context, you process less yourself. The key is deciding when to stay involved and when to trust the AI.

Overall, the text encourages understanding these layers to effectively use AI in coding tasks, highlighting the importance of context and trust in the process.

No summary available.

Summary of "Make Your Own Backup System – Part 2: Forging the FreeBSD Backup Stronghold"

Introduction to Backup Systems

• This article discusses building a backup server using FreeBSD, a preferred operating system for backup solutions.
• It emphasizes the importance of having control over backup storage, whether through a professional service or a personal setup.

Backup Server Configuration

• FreeBSD allows for effective service separation using jails or VMs, enhancing security and management.
• A combination of local and remote backup servers is recommended for redundancy, ensuring backups are stored in different locations.

Disk Redundancy and Security

• Employ disk mirroring or RAID configurations (like RaidZ1 or RaidZ2) to ensure data safety.
• Backup servers should be secure and ideally not directly accessible from the internet; using a VPN is advised.
• All backups must be encrypted to protect sensitive data.

Backup Strategies

• For FreeBSD with ZFS: Use the zfs-autobackup tool for efficient backups.
• For Other Systems (like Linux): Utilize BorgBackup or other tools for file-based backups.
• Implement separate jails for each client to enhance security and isolation.

Proxmox Backup Server Setup

• Proxmox Backup Server (PBS) can be run in a VM and used with Minio (an S3-compatible object storage) for data storage.
• The setup includes creating a Minio jail for efficient data management.

Local Snapshots

• Local snapshots of backups can provide additional security against data loss, especially during ransomware attacks.
• The use of ZFS allows for creating invisible snapshots that help protect backups from external threats.

Conclusion

• The article outlines the general process for setting up a secure backup system using FreeBSD.
• It highlights the need for careful planning and monitoring to ensure backups are effective and reliable.
• Future articles will delve into client-side setups and monitoring strategies for backups.

Stay tuned for more insights on creating and managing reliable backup systems!

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Summary:

Deep Think, a new feature in the Gemini app, is now available for Google AI Ultra subscribers. It includes improvements based on feedback from early testers and is a variation of the model that achieved gold medal status at the International Mathematical Olympiad (IMO). This version is faster and designed for everyday use while still performing well on complex math problems.

Deep Think enhances creative problem-solving by using parallel thinking techniques, allowing it to generate and evaluate multiple ideas simultaneously. It is particularly effective in tasks that require creativity, strategic planning, and step-by-step improvements, such as web development and scientific research.

Gemini 2.5 Deep Think has shown state-of-the-art performance in coding and reasoning benchmarks, demonstrating its capabilities in tackling complex problems. The development team is also focusing on safety and responsibility in its deployment.

Google AI Ultra subscribers can access Deep Think through specific prompts in the Gemini app, and future releases will be tested with other users to expand its usability.

In 2017, a senior executive from a major retail company contacted Andrew Hart, inspired by his work in outdoor AR navigation. She shared her company's struggle to create an effective indoor navigation app, which highlighted a widespread issue faced by various businesses needing to guide people indoors.

Despite existing solutions like Bluetooth beacons, WiFi, magnetometers, and computer vision, none provided the necessary accuracy or user experience for indoor navigation. This led Andrew to explore the problem further, leading to the founding of his startup, Hyper, aimed at developing accurate indoor navigation technology.

Hyper's approach combines WiFi data for initial positioning with advanced motion tracking technology known as SLAM (Simultaneous Localization and Mapping) to achieve 1-meter accuracy. They built a user-friendly surveying app to gather WiFi data efficiently, and developed algorithms to overcome challenges like drift in motion data and compass inaccuracies.

After years of research and testing, Hyper has successfully implemented its technology in major retail stores. The next challenge is to scale this indoor navigation solution to a billion users, which will require new partnerships and strategies. Andrew is eager to collaborate with businesses to expand Hyper's reach and impact.

Google is updating its plans for goo.gl links. Initially, they planned to stop supporting all goo.gl links after August 25, 2025. However, they will now keep actively used links to help users who have embedded these links in various content. Links that were inactive as of late 2024 have already been marked for deactivation. If you see a message saying a link will not work soon, it means you need to switch to another URL shortener. Active goo.gl links will continue to work normally. You can check if your link is still valid by visiting it; if it redirects you without a warning, it will remain active.

The text criticizes the complicated process many platforms require to create and manage API keys, which typically involves multiple steps like account creation, email verification, and settings adjustments. Instead, it suggests a simpler method of generating your own JSON Web Key (JWK) using code, which eliminates the need for these cumbersome steps.

Key points include:

• You can easily generate your own API key using JavaScript libraries, eliminating the need for a website.
• There should be no distinction between client and server keys; a single key should suffice for authorization.
• Instead of separate SDKs for different environments, a unified approach is recommended.
• For charging users, the API can return a payment link if a public key isn't associated with a paid account.
• In scenarios where developers want to provide API keys to their users, a hierarchical JWK system can be used to derive keys while maintaining security.

Overall, the text advocates for a more straightforward and efficient approach to API key management.

Summary of Twentyseven 1.0.0

Twentyseven is a Rubik’s Cube solver created in Haskell, first uploaded in 2016, with its initial development starting in 2014. The author has been using Haskell since discovering it in a 2013 course on lambda calculus, appreciating its mix of programming and mathematics.

The release of version 1.0.0 on August 1, 2025, serves as a personal milestone, mainly updating the code to work with the latest GHC version. The core of the program remains largely unchanged, despite some technical updates.

The program takes a string input representing the colors of a Rubik’s Cube and produces a sequence of moves to solve it. It uses an algorithm called iterative deepening A* (IDA*), which efficiently searches for the shortest solution path. This method is necessary due to the enormous number of possible states of a Rubik’s Cube.

To estimate the moves required to solve the puzzle, the program simplifies the cube’s state into easier projections, which helps improve its performance. While Twentyseven can take a long time to find optimal solutions, alternatives like Kociemba’s two-phase algorithm can solve cubes much faster by breaking the problem into manageable parts.

The text discusses the negative impact of AI on user consent and experience in technology. Key points include:

1. Lack of User Consent: The author argues that the rise of AI has led to a situation where design decisions are made without considering user needs, creating a scenario where users must accept imposed rules.

2. Shift in Design Focus: There has been a shift from user-centered design to prioritizing speed and efficiency in delivering design prototypes, often at the expense of user engagement and empathy.

3. Consumer Discontent: Many consumers express strong dislike for AI, feeling that it intrudes into their lives without their consent, while companies increasingly make AI features mandatory.

4. Ethical Concerns: The text raises ethical issues regarding how AI is trained, highlighting the use of stolen content and personal data without user knowledge.

5. Surveillance and Control: The embedded logic of AI tools often reflects a surveillance mindset, normalizing the collection of personal information and limiting user autonomy.

6. Normalization of Surveillance: The author notes that surveillance practices are becoming common in various technologies, raising concerns about privacy and user rights.

7. Reflection on Future: The piece concludes by questioning whether the normalization of these practices is becoming accepted in society.

Overall, the author emphasizes the urgent need to reconsider the role of AI in technology and the implications for user rights and consent.

Summary:

Erlang Solutions invites you to sign up for their quarterly newsletter to stay updated on news, best practices, and exclusive offers. They have a strong commitment to supporting the BEAM community, which includes Erlang and Elixir developers.

One significant initiative is their free CI/CD security audits for open-source Erlang and Elixir projects, using a tool called SAFE. This tool automatically checks for vulnerabilities in your code whenever updates are made, helping to keep systems secure and identify issues early. Open-source maintainers can request a free license by emailing Erlang Solutions.

In addition to these audits, Erlang Solutions offers expert-led services such as code reviews, architecture assessments, and performance audits for production systems. These services are designed to enhance system security and efficiency.

Erlang Solutions also supports the BEAM community through sponsorship of events, backing inclusion initiatives, and sharing educational resources. They aim to strengthen the BEAM ecosystem by providing valuable resources and insights.

For more details on the free audits and community support, visit their community hub.

Summary of Deep Agents

Deep agents are advanced AI tools that can perform complex tasks over longer periods by using a loop structure that calls various tools. Unlike basic agents, which struggle with planning and executing intricate tasks, deep agents incorporate four key components to enhance their capabilities:

1. Detailed System Prompts: These are comprehensive instructions that guide the agent on how to use tools effectively, often including examples to demonstrate expected behaviors.

2. Planning Tools: Even if a planning tool doesn't perform active functions, it helps the agent stay focused on tasks, improving its ability to manage long-term goals.

3. Sub Agents: Deep agents can create smaller, specialized agents to handle specific tasks, allowing for better context management and efficiency in tackling complex issues.

4. File System Access: This allows agents to store notes and collaborate, helping them manage accumulated context over time.

Examples of deep agents include Claude Code and Manus, which excel in research and coding by utilizing these components. For those interested in creating their own deep agents, an open-source package called 'deepagents' is available, which includes the essential features for customization.

TraceRoot is an open-source debugging platform created by Xinwei and Zecheng. It helps engineers quickly resolve production issues by using AI to combine traces, logs, source code, and discussions from platforms like GitHub and Slack.

Key features include:

• Lightweight SDKs in Python and TypeScript that integrate with applications to capture logs and traces.
• A custom AI agent that analyzes this data to identify problems and suggest solutions, such as tracing errors back to specific code changes.
• A user-friendly debugging interface that visually organizes traces and offers AI-generated insights.

TraceRoot can be self-hosted using Docker, supports both local and cloud setups, and offers free core features, with paid options for advanced capabilities. A demo video is available for those interested. They encourage feedback and collaboration for any additional features users might need.

Researchers are discovering that some HIV-infected infants can potentially be cured if they start antiretroviral (ARV) treatment early in life. A study led by Philip Goulder at the University of Oxford found that five children on ARVs stopped their treatment but maintained undetectable viral loads, suggesting they may be in remission. Other studies indicate that about 5% of children who receive early ARV treatment can suppress the virus to very low levels.

Experts believe that children's unique immune systems may make them more likely to respond positively to HIV treatments compared to adults. Pediatricians are increasingly focusing on children in the search for a cure, as adults have had limited success with complex and risky procedures like stem cell transplants.

Current research aims to understand why some children can control the virus after stopping ARVs. Additionally, new treatments like broadly neutralizing antibodies (bNAbs) and therapeutic vaccines are being developed, which may enhance the immune response in children. Trials are planned to test combinations of these treatments on HIV-infected children, with hopes of achieving long-term remission.

Gene therapy is also being explored as a potential one-time treatment for children, which could offer preventive measures against HIV transmission. While funding challenges exist, researchers remain optimistic that breakthroughs in treating children could lead to further advancements in HIV cures for all populations.

No summary available.

Summary of "Abstract Heresies" - Pseudo

The author, Joe Marshall, explores the idea of integrating a large language model (LLM) directly into a programming language, specifically using Common Lisp. He introduces a concept called the "pseudo macro," which allows programmers to embed pseudocode within their Lisp code. This macro transforms a string description into Lisp expressions, making coding more intuitive.

Key features of the pseudo macro include:

• It can be used anywhere an expression is expected.
• It gathers contextual information to guide the LLM in generating code.
• It uses a low temperature setting for more reliable output and shows the LLM's reasoning process.

The author notes that Lisp’s structure makes this integration easier compared to other languages like Java. However, there are drawbacks:

• The LLM can be slow, expensive, and unpredictable.
• It may produce incorrect code, especially if the pseudocode is vague.

The pseudo macro requires specific dependencies and was developed using Google's Gemini, but it can be adapted for other LLMs. The author encourages experimentation with this tool, providing links for downloading and additional resources.

In comments, another programmer shares a similar concept they presented, highlighting the advantages of using languages like Lisp for such integrations.

Former CISA chief Jen Easterly criticized the U.S. Army Secretary's decision to fire her from a teaching position at West Point just after her appointment was announced. She argued that her dismissal reflects a troubling trend where loyalty to political figures overshadows loyalty to the nation and its values. Easterly emphasized the importance of keeping the military above politics, stating that public trust in the military is at risk due to partisanship.

Her appointment was quickly rescinded after far-right conspiracy theorist Laura Loomer publicly opposed it on social media. The Army Secretary did not clarify if Loomer's criticism influenced the decision but stated that a review of West Point's hiring practices would occur.

Easterly, who served under both Republican and Democratic administrations, expressed her commitment to serving the country rather than pursuing power. She warned that prioritizing political loyalty over constitutional loyalty undermines national security, especially in cybersecurity.

In 1998, Kip Thorne mentioned that LIGO would need an extremely high sensitivity of "1 part in 10 to the 21" to detect gravitational waves, which seemed impossible to me at the time. I thought it would take centuries to achieve. However, by 2016, researchers reported that they reached this sensitivity level. Additionally, I worked in the same building as the pitch drop experiment, a project known for its slow progress, which influenced my perspective on long-term projects and possibilities in research.

Renting in NYC has been quite unpredictable. As of July 2025, the average cost for a one-bedroom apartment in the West Village is $5,750 per month. Recently, NYC passed a law to eliminate broker fees, which many thought would raise rental prices. To better understand these changes, I created a dashboard using some original data.

The dashboard allows users to filter by neighborhood, number of bedrooms, rental source, and time period. It's still being developed, so there may be some issues. For example, selecting certain neighborhoods might also include unrelated ones, filtering for one-bedroom apartments may show some two-bedrooms, and some listings might appear more than once because they were posted on multiple sites. I welcome any feedback on improvements or new features.

I'm unable to access external links, including the one you provided. However, if you share the text or main points from the document, I can help summarize it for you!

The text discusses Lean, a programming language used mainly by mathematicians to formalize mathematical concepts. Lean allows users to break down mathematics into structures, theorems, and proofs, treating them like code that can be shared on platforms like GitHub. The goal is to make mathematical knowledge verifiable and accessible as code.

The writer provides a simple example of using Lean to prove that 2 equals 2, illustrating how proof tactics such as "rfl" (reflexivity) and "sorry" (a placeholder for incomplete proofs) work. The text highlights the importance of sound axioms, showing how introducing a false axiom, like "2 = 3," can lead to nonsensical conclusions, such as proving "2 + 2 = 6."

The text also mentions Fermat’s Last Theorem, which took over 350 years to prove, and the ongoing effort to formalize its proof in Lean. The author encourages readers to explore Lean through various resources, emphasizing the joy of rediscovering mathematical and programming concepts through this tool.

No summary available.

Summary of AI Telephony Agent

The AI Telephony Agent allows users to make inbound and outbound calls using AI agents through VideoSDK. It supports various SIP providers and features a flexible architecture for VoIP solutions.

Installation Requirements

• Software: Python 3.11+
• Accounts Needed: VideoSDK and Twilio (for SIP trunking)
• API Key: Google API key for Gemini AI

Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/ai-agent-telephony.git
   cd ai-agent-telephony
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Configure environment variables in a .env file with your credentials.
4. Start the server:

   python server.py
   

   The server will run on http://localhost:8000.

API Endpoints

• Inbound Calls: Handle incoming calls via a POST request to /inbound-call.
• Outbound Calls: Initiate calls with a POST request to /outbound-call.
• Switch SIP Providers: Change providers with a POST request to /configure-provider.

Features

• SIP/VoIP Integration: Supports multiple SIP providers.
• AI Voice Agents: Integrate AI agents for intelligent call responses.
• Real-Time Communication: Capable of real-time voice interactions.
• Modular Architecture: Easy to add new SIP providers and AI agents.
• Configuration Management: Change settings without restarting the server.

Use Cases

• Customer Service: AI agents assist with customer inquiries.
• Appointment Scheduling: Automate booking and reminders via calls.
• Surveys and Feedback: Conduct automated surveys and collect feedback.
• Emergency Notifications: Send alerts and updates through SIP.

Roadmap and Contributions

Future enhancements include supporting multiple AI agents, adding monitoring features, and creating a web dashboard for call management. Contributions are welcome following the established guidelines.

License

This project is licensed under the MIT License.

Summary: Replacing Cron Jobs with a Centralized Task Scheduler

At Heartbeat, managing various scheduled tasks like publishing posts and sending reminders used to rely on many individual cron jobs. This approach was inefficient and prone to errors, resulting in missed tasks and complicated troubleshooting.

To improve this, the team created a centralized task scheduler that uses a single database table called ScheduledTasks. This system allows for the scheduling of tasks with a unified cron job that runs every minute. Key features include:

• Task Management: All tasks are stored in one place, simplifying management and error handling.
• Execution Logic: The cron job checks for tasks that need to be executed based on their status and timing, and sends messages to an AWS SQS consumer that processes these tasks.
• Retries and Expiration: The system includes built-in retry logic for tasks that fail and expiration settings for tasks that should not be run after a certain time.
• Consistency: When a task is updated (like changing an event time), the corresponding scheduled task is also updated, ensuring accuracy.

This new system has made scheduling tasks easier, improved reliability, and provided better logging for troubleshooting. The centralized approach allows for quicker implementation of new features without the need for additional cron scripts.

Overall, the transition to a centralized task scheduler has streamlined operations at Heartbeat, making it easier to manage scheduled tasks effectively.

The Corporation for Public Broadcasting (CPB) announced that it will begin winding down its operations due to the loss of federal funding, which is not included in the new budget for the first time in over 50 years. CPB has provided support for public media, including educational content and local journalism, for nearly six decades.

CPB's President, Patricia Harrison, expressed disappointment over the funding loss despite efforts by many Americans to save it. Most CPB staff will be laid off by September 30, 2025, while a small transition team will remain until January 2026 to manage the closure and ensure compliance with financial obligations.

CPB has been a key supporter of over 1,500 public broadcasting stations across the U.S. and is the largest source of funding for public media research and development. The organization will keep its partners updated as they navigate the challenges ahead.

The text provides several examples of ambitious projects that were completed quickly, highlighting how individuals and teams achieved remarkable feats within tight deadlines. Here are the key points:

1. BankAmericard: Launched in 90 days, signing up over 100,000 customers.
2. P-80 Shooting Star: First USAF jet fighter designed in 143 days.
3. Marinship: Shipyard construction started in March 1942 and completed a ship in 197 days.
4. The Spirit of St. Louis: Built in 60 days for Charles Lindbergh's transatlantic flight.
5. The Eiffel Tower: Constructed in 793 days, became the tallest building in the world in 1889.
6. Treasure Island: A man-made island completed in 2 years for the 1937 exposition.
7. Apollo 8: NASA's mission to the moon launched 134 days after the decision.
8. The Alaska Highway: Built in 234 days during World War II.
9. Disneyland: Completed in 366 days.
10. The Empire State Building: Finished in 410 days.
11. Berlin Airlift: Launched 2 days after a blockade began, lasting 463 days.
12. The Pentagon: Constructed in 491 days after the project was approved.
13. Boeing 747: Took about 930 days from program start to completion.
14. New York Subway: Took 4.7 years to complete 28 stations.
15. TGV: High-speed rail line opened 1,975 days after approval.
16. USS Nautilus: World's first nuclear submarine completed in 1,173 days.
17. JavaScript: First prototype developed in 10 days.
18. COVID-19 Vaccines: Rapid development and trials started just days after the virus genome was published.

The text contrasts these swift achievements with modern projects that tend to take much longer, especially those initiated after the 1960s. Various authors and researchers suggest that bureaucratic changes, increased regulations, and the influence of special interest groups have contributed to this slowdown in infrastructure development.

No summary available.

AI tools are increasingly taking over larger tasks in software development. This raises the question of whether more people will move from full-time jobs to freelance or contract work.

The text asks about your current job situation (full-time, freelance, student, etc.) and how you think AI will affect job types in the future. It invites you to share your experiences, predictions, or any relevant information you may have.

No summary available.

No summary available.

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The author shares their personal experience of being "canceled" after being accused of sexual misconduct in 2021, which led to immediate loss of job, income, home, and reputation within the Scala programming community. Despite some support from friends and colleagues, the author faced social isolation and financial ruin, eventually becoming homeless. They describe the psychological trauma and struggles that followed the public accusations, emphasizing that the actions taken against them lacked due process and were based on false information.

The cancellation deeply affected the author's identity and sense of belonging, as the Scala community had been central to their life for many years. They lost professional opportunities and faced difficulties finding work due to the stigma associated with the allegations. The author also discusses the financial toll of the situation, highlighting challenges during the pandemic and the impact on their mental health.

Through this experience, the author learned about the dangers of cancel culture and urges others to consider the potential consequences before participating in public condemnations. They call for empathy and support for those accused, emphasizing the need to reconsider the actions taken against individuals based on unproven claims. The author requests that signatories of the open letter condemning them remove their names, as it continues to cause harm. Despite the hardships, the author maintains a hopeful outlook and encourages others to reflect on the importance of due process and compassion in such situations.

New research has found that ivermectin, a drug typically used for neglected tropical diseases, can significantly reduce malaria transmission. A study conducted by KEMRI-Wellcome Trust researchers showed a 26% decrease in new malaria infections among children aged 5-15 when ivermectin was added to existing malaria control measures like bed nets.

Malaria is a major global health issue, with millions of cases and deaths reported in 2023. Traditional mosquito control methods are becoming less effective due to insecticide resistance, highlighting the need for new strategies. The BOHEMIA trial, the largest of its kind, tested ivermectin's effectiveness in high-malaria regions of Kenya and Mozambique. In Kenya, it was found to significantly lower malaria infection rates among treated children.

The trial involved over 20,000 participants and showed ivermectin to be safe, with only mild side effects. Experts believe that ivermectin could be a valuable addition to malaria control efforts, especially in areas facing insecticide resistance. The study's results have been shared with health authorities for consideration in malaria prevention programs.

In addition to lowering malaria rates, ivermectin also helped reduce skin infestations in treated communities. Overall, the findings suggest that ivermectin could play an important role in future malaria prevention strategies.

I created a simple Python script that prints the daily weather forecast on inexpensive thermal receipt printers. The script gets weather data, converts it for printing, and sends it to the printer in a specific format. You can set it up with your GPS coordinates and timezone, and schedule it to run automatically each morning. Enjoy!

I'm sorry, but I cannot access external links or content from them. However, if you provide the text you want summarized, I would be happy to help!

As of September 1, 2021, there are approximately 4,550 satellites orbiting Earth, serving various purposes such as communications, Earth observation, and navigation. SpaceX is the largest owner, with 1,655 satellites, making up 36% of the total. The U.S. has the highest number of satellites, with 2,804, while other leading countries include China and the UK.

Satellites are primarily located in four types of orbits: low Earth orbit (LEO), geosynchronous orbit (GSO), medium Earth orbit (MEO), and highly elliptical orbit (HEO). Most satellites (over 3,000) are in LEO, commonly used for communications and remote sensing.

The majority of satellites are for communications (63%), followed by Earth observation (22.1%) and navigation (3.6%). The number of satellites is expected to grow as companies like SpaceX plan to launch thousands more in the coming years.

No summary available.

The Qwen3 Coder 480B model by Alibaba is now available on the Cerebras platform. It is one of the leading coding models, competing with others like Claude 4 Sonnet and Gemini 2.5. Qwen3 Coder operates at an impressive speed of 2,000 tokens per second, allowing coding tasks that normally take 20 seconds to complete in just one second.

To make this model accessible, Cerebras has introduced two subscription plans: Cerebras Code Pro at $50 per month and Cerebras Code Max at $200 per month. In just two weeks after its launch, Qwen3 Coder became the second most popular coding model on OpenRouter, surpassing several competitors.

Cerebras emphasizes that its model can generate 1,000 lines of JavaScript in only 4 seconds, significantly faster than other models. Developers can use the model through Cline, a coding agent for VS Code, by selecting the appropriate options.

Qwen3 Coder is available on Cerebras Inference Cloud and partners like OpenRouter and HuggingFace, with a cost of $2 per million tokens. The service is hosted in US data centers and ensures high performance and data privacy.

No summary available.

No summary available.

OpenAI's ChatGPT Agent recently demonstrated its capability to pass through a common online security measure, Cloudflare's anti-bot verification, which is intended to differentiate humans from bots. The agent can control its own web browser and perform tasks while providing real-time narration of its actions.

During a task involving video conversion, the agent clicked a checkbox to confirm it was human, which highlighted the irony of an AI claiming it was not a bot while bypassing such measures. This feat showcases advanced browser automation and raises questions about the future effectiveness of CAPTCHA systems, which are designed to block bots.

CAPTCHA systems have evolved over the years, initially using distorted text and images to challenge machines, but now they analyze user behavior to determine if someone is human. While AI tools have previously managed to bypass some CAPTCHAs, ChatGPT Agent's ability to narrate the process feels new.

Despite its successes, the agent is not foolproof; it can struggle with complicated website interfaces. Overall, the demonstration underscores the evolving capabilities of AI in handling complex tasks that usually require human judgment.

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Pietro and Luigi, the creators of mcp-use, were excited about the MCP technology but frustrated that it was only accessible through closed-source applications. To improve the developer experience, they created mcp-use, which simplifies connecting any large language model (LLM) to any MCP server in just six lines of code.

The library offers two main components:

1. MCPClient: Manages server connections and data streams automatically.
2. MCPAgent: Integrates the MCPClient, an LLM, and a custom prompt to provide versatile tools for the LLM.

mcp-use also includes features for secure server execution and dynamic server connections. Some projects they’ve completed include a web-browsing agent, a report-generating agent, and a smart lighting system using an IKEA curtain.

They have surpassed 100,000 downloads and are used by notable organizations like NASA. They welcome feedback and questions to improve their tool.

No summary available.

Summary of Carbon Language Project

Overview: Carbon is an experimental programming language designed as a successor to C++. It aims to address challenges faced by C++ developers while maintaining high performance and interoperability with existing C++ code.

Key Features:

• Performance: Carbon matches C++ performance using LLVM and allows low-level access to system resources.
• Interoperability: It can work alongside C++ code, enabling gradual migration of codebases.
• Ease of Learning: Familiar syntax for C++ developers, making it easy to transition.
• Modern Design: Incorporates contemporary programming concepts like generics and modular code organization.
• Safety: A focus on safer programming practices and plans for memory-safe features in the future.

Goals:

• Support performance-critical software and code evolution.
• Ensure readability and practical testing mechanisms.
• Facilitate easy migration from existing C++ projects, with tools for translating C++ code to Carbon.

Current Status:

• Carbon is still in an early experimental phase with ongoing development of its toolchain and compiler.
• Interested users can try it via a web-based tool or download experimental releases for limited platforms.

Getting Involved:

• The Carbon community encourages contributions and is focused on maintaining a welcoming environment.
• Discussions and development efforts primarily occur on Discord, and there are opportunities for both design and implementation contributions.

For more information, visit the Carbon Language GitHub page.

Haakam, Michael, and Adi are developing AgentMail, an API that allows AI agents to have their own email inboxes. This is different from traditional email services because it focuses on enabling AI to communicate and automate tasks through email.

They initially tried to build their service on Gmail but faced many challenges such as poor support, high costs, and limitations that made the experience difficult. As a result, they decided to create their own email system.

AgentMail offers features like easy inbox creation via API, event notifications, simple authentication, advanced search capabilities, and a pricing model based on usage.

They have already implemented AgentMail in various applications, including user-specific inboxes, real-time document reception for voice agents, automated account setups, and more.

They invite feedback and offer a playground for users to try out their service.

No summary available.

No summary available.

The Raspberry Pi 5 now has a new accessory called the microSD Express HAT, created by Will Whang. This small add-on includes a microSD Express card slot for fast storage, an eject button, and two additional connectors. MicroSD Express cards can provide speeds similar to SSDs because they use a PCIe interface.

The new HAT features:

• A microcontroller for managing connections
• A PCIe connection for fast data transfer
• Power management and various indicator LEDs

Benchmarks show that the read speeds can reach over 630 MB/s, significantly better than typical microSD cards, but write speeds are more similar to high-end microSD cards at under 200 MB/s.

Despite its capabilities, the HAT is not set for mass production because microSD Express cards are currently expensive compared to traditional storage options, like M.2 NVMe SSDs. The design is open-source, allowing anyone to manufacture it if they wish, but the creator suggests it may be more useful with future Raspberry Pi models when costs decrease.