GPT-5's Shockingly Good Search Capabilities: Meet My Research Goblin

2025-09-08
GPT-5's Shockingly Good Search Capabilities: Meet My Research Goblin

The author discovered OpenAI's GPT-5, combined with Bing's search capabilities, possesses surprisingly powerful search functionalities. It tackles complex tasks, performs in-depth internet searches, and provides answers, earning the nickname "Research Goblin." Multiple examples demonstrate GPT-5's prowess: identifying buildings, investigating Starbucks cake pop availability, finding Cambridge University's official name, and more. GPT-5 even autonomously performs multi-step searches, analyzes results, and suggests follow-up actions, such as generating emails to request information. The author concludes that GPT-5's search capabilities surpass manual searches in efficiency, particularly on mobile devices.

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AI

Trump Admin Seeks to Revoke Key Climate Change Finding

2025-07-30
Trump Admin Seeks to Revoke Key Climate Change Finding

The Trump administration proposed revoking the 2009 endangerment finding, which established that greenhouse gases endanger public health and welfare, thus underpinning numerous climate regulations. EPA Administrator Lee Zeldin claims this is the largest deregulation in US history, but environmental groups fiercely oppose it, arguing it ignores worsening climate disasters. The move could eliminate tailpipe emission limits and hamper future climate action, leading to likely legal challenges.

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Tech

The Rise and Fall of Bell Labs: A Lesson in Innovation

2025-05-11
The Rise and Fall of Bell Labs: A Lesson in Innovation

This article explores the success and demise of Bell Labs. Its brilliance stemmed from a unique management style: granting brilliant scientists radical freedom and autonomy, fostering collaboration and innovation, and having visionary leaders select appropriate projects and talent. However, the information age and modern corporations' focus on short-term gains made this model difficult to replicate. The article argues that reviving the Bell Labs spirit requires giving scientists more freedom and time to achieve breakthroughs in technological innovation.

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Alibaba's Pingtouge AI Chip Outperforms Nvidia's A800 in Key Metrics

2025-09-17
Alibaba's Pingtouge AI Chip Outperforms Nvidia's A800 in Key Metrics

CCTV News reported that Alibaba's Pingtouge's latest AI chip, PPU, surpasses Nvidia's A800 in key parameters, rivaling the H20. The PPU boasts 96GB HBM2e memory, 700GB/s inter-chip interconnect bandwidth, PCIe 5.0×15 interface, and a 400W power consumption. China Unicom's Sanjiangyuan Green Electricity Intelligent Computing Center project has signed agreements for 1747 devices, including 16,384 Pingtouge chips from Alibaba Cloud, delivering 1945P computing power, highlighting the rise of domestic AI chips and their adoption in large-scale projects.

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Website Cookie Policy Explained

2025-05-03
Website Cookie Policy Explained

This website uses technologies like cookies to store and/or access device information to provide the best user experience. Consenting allows us to process data such as browsing behavior or unique IDs. Withdrawing consent may affect certain features. Technical storage or access is strictly necessary for enabling explicitly requested services or transmitting communications. It's also used for storing preferences (not user-requested), statistical purposes (anonymous), and creating user profiles for advertising or cross-site tracking for marketing.

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Misc

nnd: A Blazing Fast, Lightweight Native Debugger for Linux

2025-05-06
nnd: A Blazing Fast, Lightweight Native Debugger for Linux

Meet nnd, a Linux debugger inspired by RemedyBG, prioritizing speed and lightweight design. It boasts a TUI interface, is built largely from scratch (not based on gdb or lldb), and handles large executables efficiently (tested on a 2.5GB ClickHouse executable). nnd focuses on speed; instantaneous operations are truly instantaneous, while longer operations are handled asynchronously with progress bars. Currently, it only supports Linux x86-64 native code debugging and lacks remote debugging, multi-process support, and reverse stepping. Distributed as a single 6MB executable with no dependencies, it's easily installed via curl or built from source.

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Development

Training Long-Horizon Terminal Agents with Reinforcement Learning: Terminal-Bench-RL

2025-07-29
Training Long-Horizon Terminal Agents with Reinforcement Learning: Terminal-Bench-RL

This project details the creation of a stable RL training infrastructure scaling to 32x H100 GPUs across 4 nodes for training long-horizon terminal-based coding agents. The author developed Terminal-Agent-Qwen3-32b, achieving the highest score on terminal-bench for Qwen3 agents *without* training! Built upon the rLLM framework, it includes custom environments and infrastructure. Using ~$1M in compute, the agent achieved 19th place on the terminal-bench leaderboard, outperforming several top agents from Stanford and OpenAI. A sophisticated system prompt and custom tools guide the agent's behavior. While a full training run was cost-prohibitive, the code and dataset are provided, inviting further research with increased compute resources.

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Development Terminal Agent

PostgreSQL 18 Beta: Asynchronous I/O Revolutionizes Performance

2025-05-07

PostgreSQL 18 Beta 1 introduces highly anticipated asynchronous I/O (AIO), marking a significant leap in I/O handling. AIO dramatically improves performance, especially in cloud environments with high latency, by allowing the database to issue multiple read requests concurrently. Currently limited to reads (writes may be added later), AIO utilizes a new `io_method` configuration parameter offering synchronous, I/O worker, and `io_uring` modes. `io_uring`, on compatible Linux kernels, delivers the best performance. Benchmarks on AWS show 2-3x read performance improvements for read-heavy workloads. However, AIO changes performance monitoring; `EXPLAIN ANALYZE` I/O timing may be less precise, requiring the new `pg_aios` view for detailed analysis.

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Development

C++26: The Unnamed Placeholder `_` Arrives

2025-01-11

C++26 introduces a game-changing feature: the unnamed placeholder `_`. This solves a long-standing annoyance in C++: handling unused variables. Previously, developers needed `[[maybe_unused]]` or `std::ignore` to avoid compiler warnings, especially with structured bindings. The `_` placeholder can be declared multiple times without conflict and implicitly has the `[[maybe_unused]]` attribute, simplifying code and improving readability. This feature is already implemented in GCC 14 and Clang 18.

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AI's Energy Hog: Data Centers Face a Power Crisis

2025-01-15
AI's Energy Hog: Data Centers Face a Power Crisis

The rapid growth of AI is creating a massive energy demand, catching many enterprises off guard. Research reveals that while most companies are aware of AI models' high energy consumption, few monitor actual power usage. High-performance GPUs and complex AI models are the main culprits. To address this, efficient AI hardware and more effective cooling systems (like liquid cooling) are crucial. Data centers need upgrades to handle higher power density, requiring substantial investment and time. Some companies are exploring using waste heat for regenerative power generation or community heating.

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Denmark Revives Controversial Child Sexual Abuse Scanning Bill

2025-07-29
Denmark Revives Controversial Child Sexual Abuse Scanning Bill

On its first day as EU President, Denmark has reintroduced a controversial bill aimed at scanning messaging services for child sexual abuse material (CSAM), dubbed 'Chat Control'. This proposal, which mandates scanning even encrypted chats, has failed to garner sufficient support since May 2022, raising concerns about privacy and the undermining of encryption. Denmark, a strong supporter, aims for adoption by October 14th, but details of compromises remain undisclosed. This move could significantly impact user privacy and data security, facing strong opposition from tech experts and privacy advocates.

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The Everglades: A History of Failed Drainage Attempts

2025-09-17
The Everglades: A History of Failed Drainage Attempts

Lake Okeechobee, Florida's largest lake, is only nine feet deep and home to 30,000 alligators. This article recounts the numerous failed attempts to drain the Florida Everglades, from 19th-century land reclamation schemes to a 20th-century plan for a massive airport. These efforts not only damaged the ecosystem but also caused devastating floods and societal losses. The shallowness of Lake Okeechobee and the Everglades' history of flooding highlight the folly of human attempts to control nature and underscore the importance of environmental protection.

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IKKO ActiveBuds: A Deep Dive into a Security Nightmare

2025-07-02
IKKO ActiveBuds: A Deep Dive into a Security Nightmare

This blog post details the security vulnerabilities discovered in the IKKO ActiveBuds earbuds, a device featuring integrated ChatGPT functionality. The author found that the device directly communicates with the OpenAI API using an easily accessible, unencrypted API key. Furthermore, the companion app suffers from multiple security flaws, allowing unauthorized access to user chat logs and user identification through IMEI guessing. While the manufacturer has implemented some patches, significant security risks remain.

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Meta's Data Center Secrets: Scaling to the Extreme

2025-02-11

This collection of papers unveils Meta's cutting-edge research in building and operating hyperscale data centers. From BGP routing to distributed storage (TAO), real-time data processing, cluster management (Twine), global capacity management (Flux), and power management (Dynamo), the papers detail the technologies enabling Meta to handle massive data, global user traffic, and high concurrency. Innovations like MAST for global ML training and RAS for continuous resource optimization highlight Meta's approach to building highly reliable, performant, and efficient data centers. These findings offer invaluable insights for anyone tackling the challenges of hyperscale infrastructure.

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Tech hyperscale

Indian Teenager Shatters Six Mental Math World Records in a Day

2025-02-21
Indian Teenager Shatters Six Mental Math World Records in a Day

Fourteen-year-old Aaryan Shukla from India has earned the title of "human calculator kid" after breaking six mental calculation world records in a single day. His feats include adding 100 four-digit numbers in under 31 seconds and performing even more complex calculations with astonishing speed. This incredible ability stems from years of dedicated practice (5-6 hours daily) and Sahaja Yoga meditation for focus. Shukla's talent emerged early; he won international competitions at the age of eight.

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Minimal PyTorch Probabilistic Diffusion Model: 2D Dataset Experiments

2025-06-15
Minimal PyTorch Probabilistic Diffusion Model: 2D Dataset Experiments

This post details a minimal PyTorch implementation of a probabilistic diffusion model for 2D datasets. The author explores hyperparameters like learning rate, model size, diffusion process length, and timestep encoding through various experiments. Results show that a suitable learning rate is crucial, longer diffusion processes generate more complete samples, and model capacity isn't the primary bottleneck. Using sinusoidal embeddings for input encoding aids in learning high-frequency functions in low-dimensional domains.

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Real-Time Speech Synthesis from Brain Signals: A Breakthrough in Neural Prosthetics

2025-07-02
Real-Time Speech Synthesis from Brain Signals: A Breakthrough in Neural Prosthetics

Stephen Hawking's iconic robotic voice, generated from painstakingly typed words, represents a bygone era. Researchers at UC Davis have developed a neural prosthesis that instantly translates brain signals into speech, including phonemes and words. This overcomes previous limitations of brain-computer interfaces, such as latency and limited vocabulary, offering paralyzed individuals a path towards more fluent and natural communication, even allowing for modulation of intonation and pitch. This marks a significant step toward a fully digital vocal tract.

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Tokyo's Four-Day Workweek: A Novel Approach to a Population Crisis

2025-02-27
Tokyo's Four-Day Workweek: A Novel Approach to a Population Crisis

Facing a severe population crisis, Tokyo's metropolitan government will implement a four-day workweek starting April 2025, alongside a new 'childcare partial leave' policy. This initiative aims to improve work-life balance for parents, thereby potentially boosting birth rates. While hailed as innovative, the effectiveness of this approach in tackling Japan's demographic challenges remains uncertain, highlighting the complexity of addressing declining fertility rates.

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Can General-Purpose Robots Reignite the Economies of Germany and Japan?

2025-01-23

This article examines the relative decline of Germany and Japan's economies compared to the US and China since 1995. Jürgen Schmidhuber argues that AI-driven, general-purpose robots may be the key to reversing this trend. He recounts his early research at the Technical University of Munich, highlighting the origins of crucial AI technologies like LSTM and Transformers, and points to Germany's missed opportunities in AI development due to insufficient investment and brain drain. Schmidhuber calls for a national project in Germany to build general-purpose robots capable of performing jobs humans dislike, solving workforce shortages and revitalizing the economy.

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Tech Economics

70s Extreme Sports: Evel Knievel and the Reckless Childhoods We Miss

2025-08-15
70s Extreme Sports: Evel Knievel and the Reckless Childhoods We Miss

The 1970s saw a level of childhood freedom unseen today. This piece uses the iconic Evel Knievel, a daredevil motorcyclist who jumped 13 double-decker buses and more, to illustrate the era's adventurous spirit. Knievel's death-defying stunts not only captivated audiences but paved the way for future extreme sports. Modern athletes like Danny Way acknowledge Knievel's profound influence. The article prompts reflection on differing safety standards and celebrates the courage of pursuing dreams.

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Procedurally Generating Forest Creatures: A Long and Challenging Journey

2025-04-12
Procedurally Generating Forest Creatures: A Long and Challenging Journey

The author spent years working on procedurally generating and animating a large number of forest creatures for their game, The Big Forest. Initially, they tried using simple parametric models, but the results were unsatisfactory. They then shifted to manual parameterization and used Principal Component Analysis to find higher-level parameters, but the results were still not ideal. Ultimately, they abandoned automated solutions and instead manually defined higher-level parameters, developing tools to assist in parameter adjustment. For animation, the author built upon previous research, using a kinematic approach and continuously refining it to achieve more natural creature movement. The entire process was challenging but also enjoyable, and the author shares their experiences of trial, error, and improvement.

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Game

NASA Mass Exodus: Nearly 4,000 Employees Depart Under Trump Admin Cuts

2025-07-27
NASA Mass Exodus: Nearly 4,000 Employees Depart Under Trump Admin Cuts

Nearly 4,000 NASA employees have left the agency through a deferred resignation program implemented under the Trump administration, representing roughly 20% of its workforce. This reduction, coupled with normal attrition, shrinks NASA's staff from 18,000 to 14,000. While NASA received additional funding for Mars missions and lunar return plans, proposed budget cuts and organizational changes have drawn criticism from scientists and space advocacy groups. Over 300 current and former employees signed the "Voyager Declaration," condemning the "rapid and wasteful changes" and urging a halt to further cuts.

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Tech

Microbial Minimalism: A Newly Discovered Archaeon Challenges the Definition of Life

2025-08-20
Microbial Minimalism: A Newly Discovered Archaeon Challenges the Definition of Life

Scientists have discovered Sukunaarchaeum mirabile, an archaeon with one of the smallest genomes on Earth. Surprisingly, this organism is almost entirely dependent on its host for survival, lacking genes for essential metabolic functions. This discovery challenges fundamental understandings of life and suggests a new archaeal lineage. The researchers believe many more such life-defying microbes may exist within the 'microbial dark matter', further highlighting the vast unknowns in the microbial world.

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LIGO Detects Most Massive Black Hole Merger Ever, Defying Existing Models

2025-07-14
LIGO Detects Most Massive Black Hole Merger Ever, Defying Existing Models

The LIGO Collaboration announced the detection of GW231123, the most massive black hole merger ever observed. The merger resulted in a black hole over 225 times the mass of our Sun, a finding that challenges existing stellar evolution models. The two progenitor black holes, weighing 137 and 103 solar masses respectively, defied expectations of a stable merger. Scientists hypothesize that these black holes may have formed through prior mergers of smaller black holes. This discovery presents a significant challenge to our understanding of black hole formation and offers invaluable data for future research.

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Conquering Rust: Practical Tips to Avoid Common Pitfalls

2025-05-13
Conquering Rust: Practical Tips to Avoid Common Pitfalls

This article summarizes common mistakes Rust learners make and offers practical advice. The core is shifting your mindset: treat the compiler as a collaborator, not an adversary, and actively use its error messages to learn. The author suggests starting with simple examples, gradually increasing complexity, and mastering core concepts like ownership and lifetimes. Furthermore, the article emphasizes attention to detail, reading standard library documentation, and improving skills through practice and code reviews.

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Development development tips

Unpacking R1-Zero: Efficient LLM Alignment with the Oat Framework

2025-03-22
Unpacking R1-Zero: Efficient LLM Alignment with the Oat Framework

Researchers released a paper, models, and codebase unveiling the mysteries of R1-Zero-like training. They developed Oat, a highly modular and efficient LLM reinforcement learning framework, and used it to R1-Zero-train models like Qwen2.5. The study found that proper base models and an improved reinforcement learning algorithm (Dr. GRPO) are crucial, avoiding biased optimization from mismatched templates and question sets. Ultimately, they achieved state-of-the-art performance with only 27 hours of compute on 8x A100 GPUs.

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AI

Ammonia-Fueled Ship Viking Energy Delayed Until 2026

2025-03-12
Ammonia-Fueled Ship Viking Energy Delayed Until 2026

The world's first full-time ammonia-fueled ship, Viking Energy, originally slated for launch in 2024, has been delayed until 2026 due to the complexities of building the necessary ammonia infrastructure. Ammonia's toxicity, explosiveness, and corrosive nature require specialized piping, storage, and transport. Furthermore, ammonia combustion produces nitrogen oxides, necessitating emission control technologies. Despite challenges, experts believe ammonia will eventually become a mainstream marine fuel. They suggest seaports become energy hubs producing, storing, and trading alternative fuels to solve the chicken-and-egg problem of fuel supply and ship construction.

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Tesla Cybertruck Deliveries Halted Due to Falling Trims

2025-03-14

Tesla Cybertruck deliveries are on hold due to reports of trims falling off the vehicles. Many owners are reporting issues on forums and social media, prompting a "containment hold" by Tesla. The problem centers around the Cybertruck's flimsy cantrail trim, a decorative piece along the roofline. This isn't the first time; Tesla recalled 11,000 Cybertrucks last June for similar trim issues. The hold appears to have started last weekend, with delivery appointments canceled. Tesla hasn't issued a public service bulletin, but internal information suggests battery pack issues may also be a concern.

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Photon Matrix: Laser Mosquito Killer Launches on Indiegogo

2025-07-06
Photon Matrix: Laser Mosquito Killer Launches on Indiegogo

The Photon Matrix, a laser-based mosquito killer, is seeking funding on Indiegogo. This Chinese-designed device uses LiDAR to detect mosquitoes within 3 milliseconds, then uses a second laser to eliminate them. While effective against slow-moving mosquitoes, it struggles with faster insects. The device boasts IP68 waterproofing, multiple range options, and millimeter-wave radar to avoid harming humans or pets. Although the concept isn't new, concerns remain about safety and the team's inexperience.

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arXivLabs: Experimenting with Community Collaboration

2025-06-30
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework enabling collaborators to develop and share new arXiv features directly on the website. Individuals and organizations involved share arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these principles and only partners with those who adhere to them. Have an idea to improve the arXiv community? Learn more about arXivLabs.

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Development
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