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Models & Assistants

1121 articles

Articles, page 49

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  1. How Mixture of Experts Works: Sparse Gating, Token Routing, and Load Balancing

    Large language models face a fundamental scaling trade-off: as parameter counts grow to absorb more world knowledge, the floating-point operations (FLOPs) required per token increase proportionally. In a standard dense Transformer, every single parameter participates in processing every incoming token. Mixture of Experts (MoE) decouples total model capacity from per-token compute cost. By replacing dense feed-forward layers with a dynamic pool of specialized sub-networks ("experts") and routing

    AI
    6 min read

  2. OpenAI Disbands Preparedness Team in Continued Safety Restructuring

    OpenAI has disbanded its dedicated Preparedness team, redistributing safety and frontier-risk evaluation responsibilities across individual functional units, according to reporting by the Financial Times and The Verge. The Preparedness team was established in late 2023 to evaluate and mitigate catastrophic risks associated with frontier AI models, focusing on cybersecurity exploits, chemical, biological, radiological, and nuclear (CBRN) threats, and autonomous model behavior. Under the new orga

    AI
    1 min read

  3. Cursor Launches Origin Code Hosting with Bidirectional GitHub Sync and Agent Reviews

    Cursor has launched Origin, a proprietary code hosting service currently in early beta across all paid subscription tiers. The platform introduces native Git repository hosting directly inside the Cursor ecosystem, competing with GitHub and GitLab while embedding AI agents directly into version control and code review workflows. Origin allows developers to create and manage repositories, review pull requests, browse code, and automate continuous integration workflows without leaving the Cursor

    AI
    2 min read

  4. What Is a KV Cache? The Memory Bottleneck Behind LLM Serving

    What Is a KV Cache? The Memory Bottleneck Behind LLM Serving Every token a large language model generates costs more than compute. It costs memory. The mechanism that stores the model's working state across a generation is called the KV cache, and managing it well is what separates a serving system that feels fast from one that stalls. This explainer covers what the KV cache is, why it wastes memory, and how the PagedAttention algorithm from Berkeley's vLLM project reshaped how it is handled.

    AI
    4 min read

  5. Groq Raises $350M to Pivot From AI Chips to Neocloud

    Groq, the AI hardware startup that built specialized language processing chips, has raised $350 million at a $3.5 billion valuation as it pivots from chip design to running a neocloud business powered by Nvidia hardware. The company, once known for its custom LPU (language processing unit) inference chips, is shifting its strategy to operate Nvidia-powered data centers and offer cloud compute services for AI workloads. The pivot reflects the difficulty of competing with Nvidia's dominant GPU ec

    AI
    1 min read

  6. African Defense-Tech Startup Terra Industries Raises $52M Seed

    African defense-tech startup Terra Industries, founded in 2024, has raised a $52 million seed round from 8VC and other investors, and says it is on track to book $100 million in contracts. The company builds AI-driven security and surveillance systems for the African continent, focusing on drone-based monitoring, threat detection, and infrastructure protection. Terra's defense technology integrates computer vision, sensor fusion, and autonomous aerial platforms to provide real-time situational

    AI
    1 min read

  7. Investigation: Amazon buys and destroys rare books to scan them for AI training

    Amazon is buying large quantities of books, scanning them for AI training data, and destroying the printed copies in the process, according to a 404 Media investigation published Aug 17, 2026. The investigation revealed Amazon's book-buying operation, which had not been previously reported, by placing a tracking device inside a rare book suspected of being acquired by an AI company. The shipment traveled from California through Milwaukee, Kenosha, Colorado Springs, and a truck stop in Grand Jun

    AI
    2 min read

  8. Researchers find that changing text color can hijack a vision-language model's reasoning

    A new research collaboration has found that the color, contrast, and brightness of text can quietly steer the outputs of vision-language models (VLMs), causing them to misread meaning and reach different conclusions without any change to the words themselves. The authors say their experiments provide a systematic analysis of how low-level visual styling of text distorts the semantic representations inside a VLM's vision encoder, and how those shifts show up as behavioral changes across both sub

    AI
    1 min read

  9. OpenAI signs an 8-gigawatt Ohio data center lease backed by up to $105B from Nvidia

    OpenAI has signed a 20-year lease for the PORTS-Pike data center campus in Ohio, its largest infrastructure commitment to date, with Nvidia agreeing to backstop up to $105 billion of the project's value. The deal, struck with SoftBank's SB Energy, gives OpenAI roughly 8 gigawatts of IT capacity, about 10 gigawatts once cooling and supporting infrastructure are included. The site sits partly on a former U.S. Department of Energy uranium enrichment facility and draws power from a 9.2-gigawatt gas

    AI
    2 min read

  10. Anthropic's Pentagon dispute highlights AI's threat to democratic safeguards

    The confrontation between AI safety firm Anthropic and the US Department of Defense reveals a critical tension: how to prevent advanced AI from enabling authoritarian consolidation of power while maintaining democratic oversight. In February 2026, the Pentagon threatened to designate Anthropic a "supply-chain risk" after the company refused to allow military use of its Claude models for fully autonomous weapons and mass domestic surveillance. Anthropic CEO Dario Amodei argued current frontier A

    AI
    1 min read

  11. Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things

    Alibaba's Qwen research lab released Qwen 3.8 27B, a 27-billion-parameter Apache 2.0 licensed AI model available in 17GB GGUF format that can run on high-end consumer laptops. The model supports vision, long contexts, and tool calling. Our Qwen3.8 explainer shows where the 27B sits in the rest of the family. The over-thinking problem Qwen's documentation describes the model as defaulting to xhigh for reasoning effort, a setting designed for complex tasks demanding thorough analysis. In practi

    AI
    1 min read

  12. An AI Agent Just Fired a Human Employee

    An AI agent running a San Francisco retail store has fired its first human worker, marking what researchers call a watershed moment for AI's role in the economy. The experiment Since April 2026, an AI agent named Luna has managed Andon Market, a physical retail store in San Francisco operated by Andon Labs. Luna handles everything a store manager does: posting job listings, conducting phone interviews, sending offer emails, setting schedules, approving time off, and negotiating salaries. The

    AI
    3 min read

  13. Cardano founder ships free code that strips Anthropic Claude watermarks

    Charles Hoskinson, the founder of the Cardano blockchain, has published a free open-source release that removes the watermarks Anthropic now attaches to Claude output. He calls it Anthropies. The release lands five days after Anthropic switched on invisible marking across every Claude product. The code appeared on GitHub under an Apache 2.0 license, so anyone can copy, modify, or sell it. Anthropic's mark is not a hidden character. A secret key steers tournament sampling, the step that breaks

    AI
    2 min read

  14. Study finds RL for reasoning changes only a few tokens, and you can copy the effect

    A new analysis of reinforcement learning for LLM reasoning suggests the field's biggest gains come from a surprisingly small change. RL is not rewriting how models think. It is nudging a tiny slice of the output. What the researchers measured Across several model families and common methods like GRPO and PPO, reinforcement learning reranks only 1.0 to 4.1 percent of tokens. The token it promotes is almost always already one of the base model's top five choices. Training, in other words, pushe

    AI
    1 min read

  15. DeepSeek V4 Flash tops charts but fails half its real agent tasks

    DeepSeek's V4 Flash has become the most-used AI model on OpenRouter and one of the highest-rated open-weight models available. In real agent tests, though, it finished barely more than half of the jobs it was given. The gap between leaderboard and workplace is the story. What Composio found The integration company Composio ran V4 Flash through eight agent harnesses, including Claude Code, Codex, and OpenCode, on 30 deliberately hard multi-step tasks. The tasks used live tools: Gmail, GitHub,

    AI
    2 min read

  16. Anthropic Investors Eye a $2 Trillion IPO

    Anthropic is preparing for a stock market debut that could value the five-year-old maker of Claude at more than two trillion dollars, according to investors cited by the Financial Times. Six investors in the company told the FT that rapidly rising revenue could support a valuation above two trillion dollars in a potential October listing, with some scenarios stretching toward three trillion. That would eclipse SpaceX and rank as the largest initial public offering on record. From a fraction o

    AI
    2 min read

  17. OpenAI Dissolves Preparedness Team, Reassigns Catastrophic Risk Work

    OpenAI shut down its "Preparedness" team at the end of July 2026, the team responsible for evaluating whether the company's AI models could pose severe or catastrophic risks. Its work on biological and cyber risks has been parceled out to existing teams, the Financial Times reported. The team, led by Dylan Scandinaro, assessed risks including biological weapons development, cyberattacks, and recursively self-improving AI systems. Scandinaro now focuses on safety risks from "recursively self-imp

    AI
    1 min read

  18. Anthropic posts first-ever quarterly profit as revenue tops $11.5 billion

    Anthropic has reported its first profitable quarter, with second-quarter revenue exceeding $11.5 billion — a 14-fold increase from $787 million a year earlier and more than double the $4.73 billion recorded in Q1 2026, according to documents seen by Bloomberg and reported by Reuters and The Decoder. The company posted positive adjusted operating income in Q2, a milestone no other leading AI lab has publicly reached. The figures are preliminary and could be revised; Anthropic declined to comment

    AI
    2 min read

  19. White House to Expand AI Safety Testing to Open Models

    The Trump administration plans to extend its classified AI safety-testing framework to open-weight models once they reach frontier-level capabilities, according to a White House official who spoke with WIRED. Current Framework Covers Closed Models Only The existing voluntary framework, developed under a June executive order, applies to closed models from labs such as OpenAI and Anthropic. Developers can submit new models up to 30 days before public release for government cybersecurity evaluat

    Policy
    2 min read

  20. Lenovo's Q1 revenue jumps 43% on AI-driven demand

    Lenovo's Q1 revenue jumps 43% on AI-driven demand Lenovo reported first-quarter revenue of $26.9 billion, marking a 43% year-on-year increase and surpassing the $22.3 billion estimate. The PC maker attributed the growth to strong demand for artificial intelligence infrastructure and a resilient personal-computer business, alongside benefits from a global memory chip shortage. AI-related revenue specifically rose 60% year-on-year to reach $9.3 billion, highlighting the accelerating contribution

    AI
    1 min read