The author celebrates 1000 days of sobriety, reflecting on their past struggles with alcohol abuse and sharing insights into their recovery journey. They believe true recovery begins with forgetting past pain and no longer understanding the logic of their past self's actions. The author likens their past self to a fair match, ultimately defeated by their sober self.
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Nissan has discontinued the five-speed manual transmission option for its entry-level Versa, marking the end of an era for US car buyers. The decision, driven by the 25% import tariff on vehicles from Mexico where the Versa is manufactured, sees the least popular Versa variant axed to cut costs. While manual Versas only accounted for 5% of sales, the move signifies the demise of the readily available five-speed manual – a shrinking feature in modern vehicles. Although the impact on sales will be minimal, it also means Nissan can no longer offer a sub-$18,000 car.
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Mathematicians have long studied the 'monostable tetrahedron' – a unique shape stable on only one side. Theoretically, this shape is achievable through clever mass distribution, but building one proved incredibly challenging. Gergő Almádi and his team, after complex calculations and multiple failed attempts, finally constructed a monostable tetrahedron model using a carbon fiber frame and tungsten carbide components. This successful model not only validates mathematical theory but also offers new avenues for future engineering designs, such as lunar landers.
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Facing the rise of AI, Wikipedia announced its AI strategy: not to replace human editors, but to empower them. This includes automating tedious tasks, improving information discoverability, simplifying translation and adaptation of content, and enhancing onboarding for new volunteers. Wikipedia emphasizes a human-centered approach, prioritizing open-source, transparency, and multilingualism, ensuring AI serves its mission of freely accessible knowledge.
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A new Florida law has led to the dissolution or suspension of at least 15 civilian review boards tasked with overseeing police misconduct investigations. The law mandates that only law enforcement agencies can investigate such misconduct, effectively stripping civilian boards of their oversight power. Supporters claim this ensures consistency in investigations, while critics fear it will damage community-police relations and erode public trust. This move, seen as the latest in a series of pro-law enforcement actions by Florida's GOP-led legislature, has sparked significant controversy.
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New research reveals a staggering toll: wildfire smoke caused over 41,000 excess deaths annually from 2011 to 2020. By 2050, this number could reach 68,000-71,000 due to climate change-induced hotter, drier conditions in North America, unless stronger preventative measures are implemented. The study highlights the urgent need for carbon emission reduction and adaptation strategies, while acknowledging the potential benefits of air purifiers and controlled burns in mitigating the smoke's impact. California is projected to experience the most significant increase in smoke-related mortality, with over 5,000 excess deaths annually.
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This article introduces a novel approach to hardware modeling using Python – symbolic models. Traditional hardware design workflows involve multiple models (behavioral, architectural, RTL, etc.) for verification, but debugging can be challenging for complex algorithms and data management. The author proposes using Python symbolic models, tracking data origins instead of the data itself, to simplify the debugging process. Using an image downscaler as an example, the article details the construction and comparison of reference and hardware symbolic models, showcasing the advantages of symbolic models in improving design efficiency and confidence, especially when dealing with complex data management and specification changes.
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YJIT speeds up Ruby code, but its repeated compilation of the same code in large-scale production environments is inefficient. To address this, companies like GitHub, Shopify, and Stripe have designed ZJIT, a next-generation Ruby JIT compiler aiming to save and reuse compiled code between executions. This aims to eliminate redundant work and allow the compiler to focus on optimization for better performance.
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arXivLabs is a framework for collaborating on and sharing new arXiv features directly on the website. Participants embrace arXiv's values of openness, community, excellence, and user data privacy. Got an idea to improve the arXiv community? Learn more about arXivLabs.
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This project showcases the new Bluetooth HID Device API in Android P, implementing a simple air mouse and cursor keys emulator on a Wear OS device. Connect to laptops and desktops running Windows, Linux, Chrome OS, macOS, or Android TV without extra software – just a Bluetooth receiver is needed. Utilizing the Google VR library for orientation tracking ensures a stable and reliable air mouse experience.
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Marks & Spencer (M&S), a major UK retailer, is facing a prolonged online service disruption following a cyberattack that began on April 25th. The outage is expected to last until July, resulting in an estimated £300 million hit to its 2025/26 operating profit and weekly sales losses of around £40 million. While some customer data, including contact details and birthdates, was stolen, M&S assures that payment details and passwords remain secure. The incident highlights the vulnerability of even large retailers to cyberattacks and underscores the significant financial and reputational damage such events can inflict. Analysts warn of the ongoing impact on M&S's profitability and investor confidence.
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This article benchmarks different methods for building Go containers, comparing Docker and Nix. The author uses a simple Go program with Prometheus metrics to measure build times and image sizes. Docker caching significantly improved build speeds, while Nix, despite its reproducibility, wasn't faster. Scratch base images produced much smaller containers than distroless. UPX compression further reduced image sizes. Athens and Squid proxy caching were also tested. The author provides practical tips for faster Go container builds, including using a .dockerignore file to exclude the .git directory.
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InfraAsAI is an AI-powered tool automating Infrastructure-as-Code (IaC) management. It uses an interactive canvas and chatbot allowing users to easily define tasks and automatically generate multiple pull requests. Key features include: a visual canvas for editing tasks, AI-agent generated PRs, multi-PR task management, customizable rules and templates (e.g., commit messages and Slack review requests), fine-tuned models optimized for IaC filesystems, and simple YAML configuration. It overcomes the limitations of public language models struggling with complex multi-repo IaC, dramatically increasing efficiency.
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arXivLabs is a framework enabling collaborators to develop and share new arXiv features directly on the website. Individuals and organizations involved embrace arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only partners with those who share them. Got an idea for a valuable community project? Learn more about arXivLabs.
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The release of the DeepSeek model sparked a revolution in open-source AI. Initially released by a Chinese team, it was quickly replicated and improved upon by developers worldwide, leading to projects like OpenSeek by the Beijing Academy of Artificial Intelligence. Despite US government attempts to restrict involved entities, DeepSeek has evolved into a thriving community. Tens of thousands of developers are collaboratively advancing AI technology at a speed and scale unmatched by any centralized entity. This demonstrates the unstoppable nature of community-driven open source, defying containment by any single country, company, or government.
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Taiwan Semiconductor Manufacturing Co. (TSMC) plans to invest $100 billion in building state-of-the-art chip manufacturing plants in the U.S. over the next four years. This massive investment aims to bolster the U.S.'s efforts to revive its domestic semiconductor industry, a goal pursued for decades as manufacturing shifted largely to Asia.
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A new study in Current Biology unveils how the brain segments the continuous stream of daily experiences into distinct, meaningful events. This 'event segmentation' isn't just a passive response to environmental changes; it's an active process shaped by internal scripts based on past experiences and goals. Researchers used audio narratives and fMRI to demonstrate that brain activity, particularly in the medial prefrontal cortex of the default mode network, aligns with event boundaries determined by prioritized scripts. This active construction of mental 'chapters' is crucial for understanding, memory formation, and prioritizing information.
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This article explores the unexpected implications of Conway's Law in team organization and project collaboration. The author argues that formal service line architectures often fail to reflect the reality of team collaboration. Many projects are driven by informal, cross-team 'weak ties', sparked by casual conversations, leading to unexpected projects and innovations. These weak ties, as described by Granovetter's 'strength of weak ties' theory, connect different teams and knowledge domains, sparking new ideas, highlighting inefficiencies, and uncovering opportunities hidden within silos. The author contrasts Slack and Microsoft Teams in their ability to foster weak ties, emphasizing the importance of choosing the right collaboration tools, as they shape team communication patterns and ultimately, product design.
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Redis developer antirez recounts a fascinating debugging experience where he pitted his wits against Gemini 2.5 PRO, a large language model. A complex bug in Redis's vector set (HNSW) implementation, stemming from data corruption leading to inconsistent node links, required a solution beyond a naive O(N²) approach. While Gemini suggested binary search, antirez ultimately devised a creative solution involving an XOR accumulator, further refined by incorporating MurmurHash128 and a random seed. This anecdote highlights the power of human creative thinking in tackling complex problems, showcasing how LLMs can assist but ultimately fall short of human ingenuity in generating truly novel solutions.
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A new study simulates Earth's fate 3.5 billion years from now when large-scale subduction ceases. Even in the best-case scenario, the simulations show Earth's surface temperature exceeding 100 degrees Celsius, turning into a boiling planet. However, even with increased atmospheric CO2, Earth wouldn't reach Venus's extreme levels. This suggests Venus's hellish state may result from a unique catastrophic event rather than simple runaway greenhouse effect. This research challenges prior assumptions and significantly contributes to our understanding of the terminal state of rocky planets.
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This Hacker News hit details the author's experience implementing GPT-2 using WebGL and shaders on the GPU. The article explores the origins and evolution of general-purpose GPU programming, comparing traditional graphics APIs (like OpenGL) with compute APIs (CUDA and OpenCL). The author cleverly leverages textures and framebuffers as a data bus, using fragment shaders as compute kernels to perform neural network operations like matrix multiplication and GELU activation. While acknowledging limitations in shared memory, texture size, and precision, the article showcases the power and potential of GPU programming and demonstrates innovative use of graphics processing techniques for general-purpose computation. The code is available on Github.
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Merlin is a powerful bird identification app leveraging AI to identify birds through sound, photo, and a question-and-answer wizard. It works offline, covering the US, Canada, Europe, parts of Central & South America, and India, with more regions coming soon. Users can build a life list of identified birds and explore likely sightings based on location and season. Powered by eBird, Merlin boasts a massive database and community-contributed content.
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Sync.top is a premium HWID spoofer designed to help gamers circumvent hardware ID bans in online games. This article details how HWID bans work, explains Sync.top's functionality, and guides users on choosing between permanent and temporary spoofing modes. It boasts compatibility with major anti-cheat systems, a user-friendly interface, 24/7 support, and a money-back guarantee. However, it stresses responsible use and cautions against employing it for cheating or other rule violations.
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arXivLabs is a platform enabling collaborators to develop and share new arXiv features directly on the website. Participants, both individuals and organizations, embrace arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only partners with those who share them. Have an idea to enhance the arXiv community? Learn more about arXivLabs.
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Bucket has deeply integrated with Linear's Agents platform, creating an AI-powered feature flag management agent. This agent allows developers to create and manage Bucket feature flags directly within Linear issues, streamlining the development workflow through natural language interaction. Developers can create or modify feature flags simply by commenting in Linear; the AI agent automatically handles the operation and provides feedback. This integration aims to seamlessly integrate AI into the development process, enabling developers to deliver high-quality features faster and more efficiently.
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This article benchmarks the performance of local LLM inference frameworks such as llama.cpp, Ollama, and WebLLM. Results show llama.cpp and Ollama are blazing fast, but still slower than OpenAI's gpt-4.0-mini. A bigger challenge lies in model selection and deployment: the sheer number of model versions is overwhelming, and even a quantized 7B model is over 5GB, leading to slow downloads and loading, impacting user experience. The author argues that future local LLM inference needs easier model training and deployment tools, and tight integration with cloud LLMs, to become truly practical.
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Nicholas Khami shares his experience parallelizing multiple LLM code generators (Claude Code, Codex) using Git worktrees and tmux. He found significant efficiency gains; even with inconsistent individual LLM output quality, running multiple agents concurrently drastically increases the chance of getting usable code. However, manually managing multiple worktrees and tmux sessions is cumbersome. To solve this, he and his co-founder are building `uzi`, a CLI tool to streamline the workflow, providing a smoother developer experience by automating tasks like starting agents, sending prompts, running commands, previewing, committing, and creating PRs. This promises to greatly enhance developer productivity, and the parallel processing philosophy extends beyond coding, applicable to legal contract review and marketing data analysis. The future will likely see more software integrating similar parallel execution capabilities.
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A new study in Physical Review Letters establishes a new lower bound on the mass of ultralight bosonic dark matter particles. By analyzing stellar kinematics in the Leo II dwarf galaxy, researchers reconstructed the dark matter wave function density. They found that dark matter particles lighter than 2.2 × 10⁻²¹ electron volts cannot reproduce the observed dark matter density distribution. This significantly improves the lower bound on dark matter mass and challenges popular fuzzy dark matter models.
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aiOla has launched Jargonic, a groundbreaking Automatic Speech Recognition (ASR) model that addresses the limitations of existing ASR models in handling industry jargon, noisy environments, and real-time adaptability. Jargonic utilizes advanced domain adaptation, real-time contextual keyword spotting, and zero-shot learning to handle industry-specific language out-of-the-box, eliminating the need for retraining. Its unique keyword spotting mechanism combined with the ASR engine significantly improves transcription accuracy, especially for audio containing specialized terminology. Furthermore, Jargonic boasts robust noise handling capabilities, maintaining high performance across multiple languages and noisy industrial settings. Benchmark tests show it outperforms competitors like OpenAI Whisper.
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Hector Martin, a prominent Linux kernel developer, has announced his resignation from maintaining the kernel, specifically removing himself as maintainer for the Apple/ARM platform. He cited a loss of faith in the kernel development process and community management. While he may submit patches independently in the future, his departure sparks discussion about the Linux kernel's community management.
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