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All news · Today4 items

All AI news

All collected and published items, ordered by time. Picks are a selected subset.
First-party

Direct announcements from model vendors, companies and research institutions on their official sites, blogs and accounts.

9/17Thu
  1. GitHub Blog · AI & ML78

    GitHub uses Copilot to rewrite the Copilot runtime in Rust

    Using the GitHub Copilot app and Copilot CLI, GitHub completely rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust. AI agents wrote most of the code, merged incrementally into main across 128 pull requests rather than in a single cutover.

    Why it matters: Drawing on firsthand experience, the author reviews the 800,000-line Rust rewrite and shares agent-orchestration and review practices that can be reused.

  2. OpenAI News60

    OpenAI publishes model-misalignment reporting framework with six incident reports

    OpenAI has published a framework for tracking, investigating, and disclosing model misalignment, along with six reports about unexpected or concerning model behavior.

    Why it matters: OpenAI has made public a framework for tracking and disclosing model misalignment, together with six incident reports that show how it approaches alignment disclosures.

9/16Wed
  1. NVIDIA Blog62

    NVIDIA Vera Rubin NVL72 makes its MLPerf Inference v6.1 debut with leading performance

    NVIDIA submitted preview results for Vera Rubin NVL72 for the first time in MLPerf Inference v6.1, reporting up to 3.7× the throughput of GB300 NVL72 on Qwen3-VL and up to 2.5× on DeepSeek-R1.

    Why it matters: MLPerf Inference v6.1 reports throughput, scaling efficiency, and software-optimization gains for Vera Rubin NVL72 versus GB300 NVL72, offering a basis for judging inference infrastructure value.

  2. NVIDIA Blog42

    Emerald AI, Google, and NVIDIA launch AI Energy Management Alliance

    Emerald AI, Google, and NVIDIA have announced the AI Energy Management Alliance (AEMA), which aims to help data centers adjust power use dynamically to grid conditions. The alliance uses technology-neutral, performance-based requirements focused on measurable factors such as response speed, duration, predictability, and emergency behavior. It also sets out pre-interconnection load-reduction and emergency-response obligations, common technical standards and data sharing, faster paths to grid connection, and cost allocation based on actual system impact.

  3. Mistral AI60

    Mistral partners with Mozilla to power Firefox Smart Window

    Mistral has announced a partnership with Mozilla: the beta AI browsing assistant Firefox Smart Window is now powered by Mistral models. It helps users understand complex searches, find pages they previously visited, and organize information from browser tabs.

    Why it matters: Mistral and Mozilla are bringing open models into a browser entry point, offering a view of how open models may reach consumer users.

  4. NVIDIA Blog62

    Jensen Huang at Dreamforce: Salesforce's first CRM reasoning model, Koa, is built on NVIDIA Nemotron 3 Super

    At Salesforce Dreamforce, NVIDIA founder and CEO Jensen Huang appeared alongside Marc Benioff as Salesforce released Koa, its first CRM reasoning model, built on NVIDIA Nemotron 3 Super.

    Why it matters: Huang discussed AI safety and shifts in the share of open models at Dreamforce, while the article explains how Salesforce's first reasoning model was trained and when it will be deployed.

  5. Google Research36

    Google Research proposes Retrieve-for-Train: compile diffusion models with RL to bypass inference bottlenecks in complex AI search

    Google Research proposes Retrieve-for-Train, a framework that uses offline RL to discover reward-aligned query fan-outs and compile them into supervision, then distills them into a 53.9M-parameter diffusion retriever. At inference, it generates a complete result set in one non-autoregressive pass without chain-of-thought tokens. The method fine-tunes fan-out language models based on Gemma3-4B and Qwen3-4B, using set-level attribute rewards to address paraphrase collapse in zero-shot LLMs and autoregressive latency.

  6. Google DeepMind82

    Google DeepMind releases Gemini 3.8 Live and 3.8 Live Extended Thinking

    Google DeepMind has released two real-time voice-conversation models: Gemini 3.8 Live for scale and cost efficiency, and Gemini 3.8 Live Extended Thinking for complex tasks and multi-step reasoning.

    Why it matters: The two live voice models support parallel reasoning and tool calls and report results on several speech benchmarks, offering a way to assess the limits of voice agents.

  7. NVIDIA Blog62

    NVIDIA details DSX platform: MaxLPS delivers 24% more token throughput on the same power budget

    At the AI Infra Summit, NVIDIA presented its DSX platform. DSX MaxLPS was validated on Lambda's five-rack, 19-node HGX B200 cluster, where it increased token throughput by 24% under the same power budget—from about 4 million to 5 million tokens per second—and improved performance per watt by 23%.

    Why it matters: The article reports DSX MaxLPS measurements on a Lambda cluster, allowing readers to judge possible throughput gains under a fixed power budget.

  8. NVIDIA Blog72

    NVIDIA shares efficiency progress for Vera Rubin and DSX at AI Infra Summit

    At the AI Infra Summit, NVIDIA announced several advances in Vera Rubin and its DSX platform, shifting AI infrastructure measurement from peak performance to useful agentic tokens per megawatt.

    Why it matters: The article reports several measured token-output figures per megawatt for Vera Rubin and DSX, showing how efficiency metrics for AI factories are changing.

  9. Hugging Face Blog66

    IBM research proposes consistency guidelines, narrowing ReAct agents' Pass^5 gap from 24.4pp to 12.0pp

    IBM researchers describe new consistency guidelines in altk-evolve, designed to address unstable results when an agent runs the same task repeatedly.

    Why it matters: The paper quantifies the gap between Mean@k and Pass^k and shows that consistency guidelines cut it in half, offering a technique for agent-evaluation design.

9/15Tue
9/14Mon
9/12Sat
9/11Fri
  1. GitHub Blog · AI & ML38

    Getting started with the GitHub Copilot app: using the diff, terminal, and browser panels

    The GitHub Copilot app includes diff, terminal, and browser panels, letting users review, run, and preview AI-agent code changes without leaving the app. The diff panel marks additions in green and deletions in red, and supports accepting changes, commenting, or asking Copilot to revise them. The terminal can run project commands directly and supports switching between multiple windows.

9/10Thu
  1. Mistral AI26

    Cloudera and Mistral partner to bring dedicated sovereign intelligence to enterprise data

    Mistral and Cloudera are partnering to integrate Mistral models into Cloudera's hybrid data platform. Enterprises can run inference in private or public clouds, on premises, or in fully air-gapped environments while retaining full control. They can also train their own models on proprietary data in controlled environments while keeping ownership of both data and models. Cloudera's platform hosts 30 exabytes of customer-managed data.

  2. OpenAI News62

    OpenAI launches ChatGPT for Financial Services

    OpenAI has released ChatGPT for Financial Services, combining built-in financial data with GPT-6 Astra for research, modeling, and customer-facing materials.

    Why it matters: OpenAI packages built-in financial data with GPT-6 Astra in an industry-specific version, offering a view into how financial research workflows may change.

  3. OpenAI News65

    OpenAI introduces GPT-Live-1 voice model in its API

    OpenAI has introduced GPT-Live-1 in its API, giving developers natural full-duplex voice conversations. The model follows instructions more reliably and supports custom voices and telephony integration.

    Why it matters: GPT-Live-1 brings full-duplex voice conversation to the API, helping readers assess how to integrate voice apps and the model's capabilities.

  4. OpenAI News60

    OpenAI releases Agents API

    OpenAI has released the Agents API, a hosted service powered by the Codex harness for building and launching agents in the cloud. It supports orchestration, long-running sessions, and tool calls.

    Why it matters: OpenAI is offering Codex's orchestration capabilities as a hosted service, giving readers a signal of how the barrier to deploying cloud agents may change.

9/9Wed
  1. Mistral AI58

    How Mistral uses AI agents to migrate 40,000 lines of legacy Fortran

    Mistral helped a European energy operator migrate a 40,000-line Fortran 77 reservoir simulator to C++. The codebase had no test suite or centralized documentation. The team first built a numerical-equivalence testing framework, then used a Skill.md to guide agents in exporting Fortran state snapshots and validating them in C++. A custom parser generated the call tree, and Vibe CLI coordinated hundreds of agents with Mistral OCR to fill documentation gaps.