New Model Releases

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Showing 1–30 of 220
  • Lobste.rs (AI tagged) · EN New Model Releases
    Introducing System One Models & Jev
    TypeSafe AI launches Jev, its first 'System One' decision model
    TypeSafe AI released Jev in early access as its first 'System One Model', built for fast structured decisions that software can consume directly. It drops string generation for typed output - so it cannot hallucinate, the company says - and claims parity with existing LLMs on such tasks while running two orders of magnitude faster and more efficiently.
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  • Simon Willison's Weblog · EN New Model Releases
    Be alert: targeted attacks on prominent Rustaceans
    Rust crates team warns of targeted attacks on prominent maintainers
    Deep Learning
    Adam Harvey and the crates security team warn of an ongoing campaign against rust-lang members and owners of popular crates. Attackers set up a video call framed as a job or contract, then get the target to install a supposedly missing audio codec or run a command from the clipboard, compromising devices and accounts to publish malware. Willison points to dependency cooldowns as the best current defense.
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  • ITmedia AI+ · JA New Model Releases
    AIへの「念のためプロンプト」はもう逆効果 Claudeのトークンを浪費する6つのアンチパターン
    Anthropic on cutting Claude token waste from 'just in case' prompts
    Anthropic Claude
    Anthropic published three techniques for cutting cost while improving accuracy on the Claude Platform. Building on that, the article lists six prompting anti-patterns - led by defensive 'just in case' instructions - that burn tokens without improving results.
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  • ITmedia AI+ · JA Industry Adoption
    経営者は「AI導入」に夢中、現場は「IT環境」に疲弊 ITサポート軽視が招く時間・人件費ロスの実態
    DXER: poor IT setups cost each employee 147 hours a year
    DXER surveyed corporate IT environments and employee output, finding that slow devices and missing tools cost each worker roughly 147 hours a year. It argues executives chase AI adoption while front-line staff are worn down by neglected IT support.
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  • Publickey · JA New Model Releases
    PlanetScale、PostgreSQLのシャーディングを自動化して1億1800万QPSを達成。新DBサービス「Neki」をプレビュー公開
    PlanetScale previews Neki, auto-sharded PostgreSQL at 118M queries per second
    PlanetScale has opened a preview of Neki, a managed PostgreSQL service that automates sharding. The company reports a benchmark of 118,538,803 queries per second, positioning Neki for workloads that outgrow a single Postgres primary while keeping application-side changes small.
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  • Data Center Dynamics · EN New Model Releases
    Rune launches solar-sited modular compute system, raises $40m Series A
    Rune debuts solar-sited modular compute and raises a $40m Series A
    Modular data center developer Rune has launched RELIC, a compute system installed directly at solar generation sites, alongside a $40m Series A led by Spark Capital that takes total funding to $53.5m. Rune says solar plants waste up to 20 percent of output; RELIC taps that power at source, bypassing the meter and the grid.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Google, Nvidia, and Emerald AI found the AI Energy Management Alliance to support demand response capabilities within the data center sector
    Google, Nvidia and Emerald AI found the AI Energy Management Alliance
    Anthropic Google NVIDIA
    Google, Nvidia and AI orchestration firm Emerald AI have launched the AI Energy Management Alliance to build demand response into AI data centers, joined by partners including Anthropic, National Grid, RWE and Constellation. Google says it has already integrated 1GW of demand response nationwide, and published supporting reports from The Brattle Group and Aurora Energy Research.
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  • Data Center Dynamics · EN New Model Releases
    Sponsored: Arcadis launches Data Center Growth Lab to build next generation of data center talent
    Sponsored: Arcadis opens a Data Center Growth Lab with DCD Academy
    In a sponsored announcement, design and engineering firm Arcadis launched its Data Center Growth Lab, a Lovinklaan Foundation-funded program to equip nearly 1,500 staff with data center delivery skills. Run with DCD Academy, it aims to convert strong market demand into delivery capacity.
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  • ITmedia AI+ · JA New Model Releases
    AI学習は拒否、検索クロールは維持……Cloudflareの新機能「AI学習の不許可」 Google、Apple、Microsoftが対応
    Cloudflare lets sites block AI training while keeping search crawlers
    Google Microsoft
    Cloudflare announced Disallow AI Training on Sept 15, letting site owners block AI training by mixed-use crawlers while still allowing search crawls. Cloudflare adds the rule to robots.txt. Apple and Google comply; Microsoft is due by early 2027.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    Google DeepMind、AGIの影響を議論する「DeepMind Institute」設立 「AGIに近づいている」
    Google DeepMind launches DeepMind Institute to debate AGI's impact
    Google
    Google DeepMind has launched the DeepMind Institute, a cross-disciplinary platform for debating the benefits and risks of AGI for society. Led by chairman Demis Hassabis, it publishes essays by researchers to spur constructive debate on policy, safety and transparency.
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  • ITmedia AI+ · JA New Model Releases
    OpenAI、モデルの「ミスアライメント」報告の新フレームワーク公開 データ捏造など6件の事例も公表
    OpenAI unveils misalignment reporting framework with 6 case studies
    GPT OpenAI
    OpenAI unveiled a framework for tracking and disclosing model misalignment, sharing cases regardless of actual harm. It published six reports from unreleased models and GPT-5.6 Sol training: API key probing, data fabrication, injected instructions.
    Read original (ITmedia AI+) ↗
  • OpenAI Blog · EN New Model Releases
    Introducing Astra for Law
    OpenAI launches Astra for Law, a GPT-6 Astra legal research stack
    Neural Network OpenAI
    OpenAI unveiled Astra for Law, combining GPT-6 Astra with a U.S. legal search index and legal-analysis instructions. It passed 54.0% of a legal research benchmark versus 38.7% for the base model with web search, and ships first to selected law firms.
    Read original (OpenAI Blog) ↗
  • Apple Machine Learning Research · EN New Model Releases
    REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
    Apple releases REVERSAL-BENCH to measure the reset-free RL cliff
    Neural Network Reinforcement Learning
    Apple researchers introduce REVERSAL-BENCH, a benchmark for reinforcement learning that runs without external resets. It tunes environment reversibility through a continuous parameter rho in [0,1] and adds a reset oracle that verifies whether a state is recoverable, across eight manipulation settings in five physics engines.
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  • Simon Willison's Weblog · EN New Model Releases
    datasette 1.0a40
    Datasette 1.0a40 adds background tasks for plugins and moves to httpx2
    Machine Learning
    Datasette 1.0a40 ships the same security fix as 0.65.5 plus datasette.add_background_task(), letting plugins launch and manage background work, contributed by Alex Garcia. It also migrates to httpx2 and lands bug fixes from triage toward a 1.0 stable release.
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  • Simon Willison's Weblog · EN New Model Releases
    datasette 0.65.5
    Datasette 0.65.5 fixes a table-permission bypass exposing private rows
    Deep Learning
    Datasette 0.65.5 is a security release. A trailing newline in a requested table name could bypass table permission checks and expose private rows. The issue was reported by dpfkdlemtp and published as GHSA-h547-rmjf-5m2m.
    Read original (Simon Willison's Weblog) ↗
  • ITmedia AI+ · JA New Model Releases
    「中国AIがClaudeやGPTから数十億トークン抽出」 米当局が暴いた「知識蒸留」の実態
    US NSA, CISA and FBI warn of Chinese distillation of US frontier models
    Claude GPT Inference
    The NSA, CISA and FBI issued a joint advisory alleging Chinese AI companies are systematically distilling US frontier models, extracting reasoning capabilities and other behaviour through proxy access. The agencies recommend countermeasures.
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  • ITmedia AI+ · JA New Model Releases
    国産汎用ロボットによるフィジカルAIのデータ収集で7社が競う、試作機を披露
    AIRoA shows 7 prototypes in Japan's general-purpose robot contest
    Robotics
    AIRoA unveiled prototype dual-arm mobile manipulators from seven entrants in its NEDO-funded contest. Those clearing the criteria become data-collection robots for robot foundation models. Ogata cited reliance on Chinese hardware as the risk.
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Objective vs. Search: Decomposing What Makes a Good Tokeniser
    Algorithms & Theory Machine Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    A Zeroth-Order Paradigm for LLM Preference Alignment
    Fine-tuning Llama Mistral Retrieval-Augmented Generation (RAG)
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  • arXiv cs.CL (Computation and Language) · EN Multimodal
    PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection
    Computer Vision Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
    AI Agents Fine-tuning Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models
    Claude Gemini GPT Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education
    Computer Vision Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Social Laws for Multi-agent Coordination in Stochastic Environments
    AI Agents
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards
    AI Agents
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Structured Claim-Level Discourse Representations for Dense Health Narratives
    Inference Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions
    AI Agents
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  • Publickey · JA New Model Releases
    Devinが仮想環境でmacOSの提供開始。Macの実機不要でDevinがコード生成、テスト、デバッグ、実行、AppStore配信前のベータ公開まで実行
    Devin adds macOS VMs, enabling iOS development without a Mac
    AI Agents Machine Learning
    Devin, Cognition's coding agent, now offers macOS in its hosted virtual environments alongside Ubuntu Linux and Windows. Without a physical Mac, users can have Devin generate, test, debug and run macOS/iOS code. A demo showed it building an app and sending a TestFlight beta link.
    Read original (Publickey) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning
    Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗