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All news · Today68 items

All AI news

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

  4. DeepSeek · X68

    DeepSeek releases DeepSeek-V4.1-Flash

    DeepSeek has released DeepSeek-V4.1-Flash, describing it as smarter, faster, and more efficient. It is the smallest model in a new architecture family, with native visual understanding, and is designed for stronger capabilities, faster inference, and higher throughput, with the architecture able to scale to larger models.

    Why it matters: As the smallest model in DeepSeek's new architecture family, its native visual understanding and higher inference throughput offer a view of its lightweight multimodal positioning.

  6. 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.

  8. 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
  2. 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.

  5. AI at Meta · X58

    Meta launches personal AI agent Muse and publishes its security design

    Meta today launched the personal AI agent muse.ai and published a technical deep dive on the system's security design. The company says agents that get to know users over time necessarily hold substantial context about them; this is both what makes them useful and why Muse was designed to be safe and private. The full technical account is at security.muse.ai.

  7. Mark Chen · X26

    Mark Chen says no human or agent reviewed user data for the Navier–Stokes effort

    Two things to distinguish: Did any human or agent look at user data as part of the Navier Stokes effort? No. Do we use user feedback and de-identified data to improve ChatGPT and Codex in a holistic way? Yes. And so does every LLM company. @__alpoge__ said de-identified data from product use might have helped improve OpenAI’s models. They praised the disclosure, then shared their view of the Navier Stokes effort and said they would have been open to collaborating.

  8. Sébastien Bubeck · X35

    Sébastien Bubeck Clarifies OpenAI’s Discussions With Levent About Euler and Navier-Stokes

    Sébastien Bubeck said he contacted Levent to coordinate releases and denied asking for Levent to be removed from authorship. He said they discussed having Tristan lead a rewrite of OpenAI’s Navier-Stokes proof, and that internal Anthropic models had been used in the Euler blowup proof. Bubeck said he wanted to offer access to an internal OpenAI model, apologized for saying Levent risked his career, and said he retracted the remark during the call.

9/8Tue
  1. Demis Hassabis · X72

    DeepMind releases AlphaGenome Atlas to predict the effects of 9 billion single-letter DNA variants

    Google DeepMind has released AlphaGenome Atlas, an AI-powered searchable database that predicts the effects of all 9 billion possible single-letter DNA variants. Demis Hassabis says that after AlphaFold mapped the protein universe, this tool begins mapping the human genome to help scientists better understand disease. It is free for academic research at http://alphagenome.google/atlas.

    Why it matters: Following AlphaFold, DeepMind is extending predictive capabilities from proteins to the human genome; the article describes the database's coverage and open access.

  2. Google DeepMind71

    Google DeepMind's AlphaGenome Atlas covers predictions for 9 billion single-letter variants in the human genome

    Google DeepMind has released AlphaGenome Atlas, a platform containing predicted effects for 9 billion single-nucleotide variants in the human genome. At 1 PB, it is more than 30 times the size of the AlphaFold Database. From today, academic researchers can access it free through the web portal, AlphaGenome API, and a skill in Google Antigravity.

    Why it matters: The article gives the scale of predicted effects for 900 million single-nucleotide variants and free academic access points, helping readers assess the availability of genome-interpretation resources.

  4. Mistral AI62

    Mistral raises €3 billion in Series D at a valuation above €21 billion

    Mistral announced a €3 billion Series D at a post-money valuation above €21 billion, led by Samsung Electronics, with the Scaleup Europe Fund and PSG Equity as co-leads. The company calls it the largest equity financing ever raised by a European technology company. Proceeds will fund frontier research, compute, infrastructure, and commercial growth. Mistral operates in 20 countries and serves more than 125 global enterprises, including Airbus, ASML, and HSBC.

    Why it matters: Mistral has raised the largest equity round for a European tech company, offering insight into its sovereign-AI full-stack strategy and investor lineup.

  5. OpenAI News60

    OpenAI releases ChatGPT Images 2.5

    OpenAI has released ChatGPT Images 2.5, which turns ideas, sketches, and reference photos into more personalized, polished images that better match what users had in mind.

    Why it matters: OpenAI's official launch of ChatGPT Images 2.5 gives readers an update on its positioning and input options for personalized image generation.

9/7Mon
9/6Sun
9/5Sat
  1. Mistral AI · X8

    Mistral brings AI Engineer to Paris

    We're bringing @aiDotEngineer back to Paris. After last year's sold-out event, our VP of Engineering, Lélio Renard-Lavaud, will be joined by speakers from @bfl_ai, @cognition, @huggingface, and more. See the event and reserve your spot: https://www.ai.engineer/paris

  2. GitHub Blog · AI & ML71

    GitHub previews Project HydraFusion for multi-model orchestration

    GitHub has released a research preview of Project HydraFusion, enabled in GitHub Copilot CLI with `/experimental` and selectable through `/model`. Usage is billed per token at each model's standard rate.

    Why it matters: GitHub reports quality and cost comparisons across three orchestration modes and three benchmarks, helping readers weigh multi-model orchestration for coding tasks.

9/4Fri
  2. Jim Fan · X46

    Jim Fan revisits OpenAI’s 2016 World of Bits and congratulates GPT-6

    Jim Fan recalls how an agent in OpenAI Universe used screen pixels and mouse movements to book a United flight in 2016. He says the project’s approach—training from scratch with hand-drawn, per-task reward functions—was doomed, and describes computer-use agents as needing broad training before specializing in screen pixels and keystrokes. He congratulates GPT-6 on reliably booking that flight.

  3. Sébastien Bubeck · X31

    Meet Astra's TikZ unicorn. I find it mind blowing that a single entity can do this, as well as get essentially 100% on Frontier Math Tier 4, ARC-AGI 3, & ExploitBench. And it's not behind closed doors, anyone can just go and talk to it. Impossible to overstate the implications.

    Meet Astra's TikZ unicorn. I find it mind blowing that a single entity can do this, as well as get essentially 100% on Frontier Math Tier 4, ARC-AGI 3, & ExploitBench. And it's not behind closed doors, anyone can just go and talk to it. Impossible to overstate the implications.

  4. Google Research62

    Google, HHMI Janelia, and partners publish a complete male fruit-fly brain connectome

    In a paper published in Cell, Google, HHMI Janelia, Cambridge, and collaborators have published a connectome of the complete male fruit-fly brain and central nervous system. It contains more than 166,000 neurons and 125 million synaptic connections, making it the largest brain map to date by neuron count.

    Why it matters: Google, HHMI Janelia, and partners have released the largest brain map by neuron count, showing a concrete application of AI in connectomics.

  5. GitHub Blog · AI & ML38

    Getting started with the GitHub Copilot app: running multiple agents at once

    The GitHub Copilot app supports multiple agent sessions at once, each in a separate Git worktree with its own context and no interference from others. Users can switch between sessions and resume where they left off. The sessions view shows each session's title and progress. The tutorial uses the tailspin-toys repository to run three tasks at once: a funded sort, an accessibility review, and tests.