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All AI news

Today 8 items
Oct 7Wed
  1. TechCrunch · AI64

    Mistral’s new 1T model aims to leapfrog closed and open rivals

    Mistral AI released the 1-trillion-parameter multimodal model Mistral Large 4, currently accessible only via a public guardrail endpoint, with weights to be released within three weeks after safety testing is complete. The model was trained on only 4,000 Nvidia GPUs, with optimized use cases including cybersecurity, finance, and chip design; last month the company closed a Series D round led by Samsung at a €21 billion valuation.

  2. The Verge · AI56

    OpenAI is adding text watermarking in ChatGPT and Codex

    OpenAI is rolling out the textGrain invisible text watermark to ChatGPT and Codex users in the EU, covering all plans, though it is not yet enabled globally by default. API customers can opt in to watermarked output for some models starting today, and approved researchers and expert organizations can apply for the detector; the tool only reports whether an OpenAI watermark is detected, without identifying users or exposing conversation content.

  3. TechCrunch · AI63

    LibreOffice says ‘no AI’ is now a software feature

    The Document Foundation, the nonprofit behind the open-source office suite LibreOffice, said in a blog post this week that it will not add AI features to its software for the foreseeable future. The organization called this a deliberate positioning to ensure user documents are not uploaded to servers and the software runs without an internet connection, adding that no integration currently meets all its requirements; users can still connect local AI models by installing extensions.

  4. Simon Willison59

    Introducing Mistral Large 4: Le chonk

    Mistral released a preview of Mistral Large 4, with 1 trillion total parameters and 49B activated parameters, trained on its own 3,800 NVIDIA Grace Blackwell GPUs. It is available via the Mistral API, with open weights promised by the end of the month.

  5. TechCrunch · AI35

    Anthropic is giving startups a free year of Claude Team and $1,000 in credits

    Anthropic is expanding its Claude for Startups program, offering eligible startups a free year of Claude Team (up to 5 premium seats) and $1,000 in API credits. Participating companies can also use Claude Marketplace to build plugins and book virtual office hours with the Applied AI team. Companies founded within the last five years or funded within the last two years can apply via the program page.

  6. AWS Machine Learning Blog59

    Introducing GLM 5.3 on Amazon Bedrock

    Z.ai (Zhipu AI)'s GLM 5.3 is now available on Amazon Bedrock. It is a 753B-parameter MoE model aimed at coding and long-horizon agent tasks, and Z.ai reports a leading score of 84.5 on the CyberGym benchmark plus a 50% improvement over GLM 5.2 on its internal coding benchmark.

  7. The Verge · AI39

    All the drama around AI’s takeover of mathematics

    Over the past year, AI labs including OpenAI and Anthropic have announced breakthroughs on multiple long-unsolved math problems, even a famous Millennium Prize Problem. These achievements should have been celebrated, but instead sparked a strong backlash in the math community. OpenAI says it will consult top mathematicians to avoid repeating the mistakes, but whether it delivers remains to be seen.

  8. The Verge · AI49

    This startup is issuing AI-generated acne prescriptions

    Healthcare startup Nolla Health announced that Utah users can scan their face through its app, where AI analyzes acne severity and independently prescribes treatment. The pilot gradually relaxes physician oversight: prescriptions for the first 100 patients require approval from two doctors each, and after 500 patients, doctors only need to spot-check at least 10% of prescriptions monthly. The service is priced at $4.99 per month, available only to Utah residents aged 18 and over with mild-to-moderate acne; the AI can currently prescribe 8 dermatological treatments.

  9. The Verge · AI43

    Amazon Alexa Plus keeps creepily singing ‘lalala’ for minutes on end

    Some Amazon Echo smart speakers, due to an Alexa Plus bug, suddenly repeat or even sing "lalala" mid-conversation for minutes, and Alexa itself claims no knowledge of it when asked. Reports have appeared on Reddit over recent weeks across multiple Echo models with videos uploaded. Amazon confirmed it is a bug affecting a "small number of Alexa Plus" users and a fix is in progress.

  10. Simon Willison52

    Quoting Victoria Kim

    OpenAI chief strategy officer Kwon said that since the Medicare leak incident, the company has added monitoring measures so staff can “immediately intervene” and halt training when a model accesses the internet in ways it shouldn’t. The remarks were reported by Victoria Kim live at the Australian parliament.

  11. AWS Machine Learning Blog39

    Responsible AI governance: How AWS positions customers to align with ISO/IEC 42005:2025

    AWS explains how the international standard ISO/IEC 42005:2025 guides AI system impact assessments, including integrating it into existing enterprise risk, privacy and security impact assessment processes. The standard’s Annex D offers a streamlined process to avoid duplicate assessments, while Annex E provides standalone templates.

  12. Hugging Face Blog43

    Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance

    The co-publishers with Hugging Face released Falcon-Emirati-7B, fine-tuned from the Falcon-H1-Arabic 7B variant to understand and generate Emirati Arabic dialect. The model uses a hybrid Mamba and Transformer attention architecture, trained on Emirati dialect web data, Emirati-culture MSA data, and synthetic data constrained by lexicon and style rules, with a context window supporting up to 128K/256K tokens.

  13. TechCrunch · AI45

    How AI decision models could change content moderation

    Musubi on Tuesday released PolicyLM-1.7B, a lightweight decision model for real-time content moderation, as an open-weights release. The model can apply content policies written in English to messages in under 50 milliseconds, with cost and speed close to the AI classifiers used by most social platforms, and requires no retraining when policies change. Decision models became a hot direction after TypeSafe AI released Jev in September, with OpenAI and Amazon following with competitors.

  14. Mistral AI75

    Introducing Mistral Large 4

    Mistral released the public preview of Mistral Large 4 (ML4), a natively multimodal model with 1 trillion parameters and 49 billion activated parameters, with weights to be available for download by the end of the month.

    Why it matters: The official release covers parameter counts, benchmark scores, training infrastructure and the open-weights timeline, letting readers assess its real standing in the open-source camp.

  15. Google DeepMind68

    EmbeddingGemma 2: an open, lightweight multimodal embedding model

    Google DeepMind released EmbeddingGemma 2, a 740M-parameter model built on the Gemma 4 architecture under the Apache 2.0 license, mapping text, code, images, video and audio into a shared embedding space.

    Why it matters: The official release provides concrete metrics such as parameter count, memory footprint and benchmark scores, helping readers judge whether it suits on-device retrieval scenarios.

  16. The Verge · AI76

    OpenAI drops another batch of mathematical breakthroughs

    OpenAI has released 722 mathematical manuscripts covering 372 families of results, which AGMAI says include solutions to "hundreds" of open problems, produced by an unreleased frontier model. The manuscripts were published in a GitHub repository with paper revision and citation protocols, along with model reasoning summaries and compute estimates; OpenAI says each result corresponds on average to three hours of ChatGPT Pro thinking time.

    Why it matters: The report gives the scale of 722 manuscripts, the number of problems, and compute estimates, so readers can gauge the actual content of these mathematical results and the academic controversy around them.

  17. TechCrunch · AI42

    Ex-Ramp engineers raise $20M for platform Melius after scrapping their first product

    AI ad creative platform Melius announced on Tuesday a total of $25 million in funding, including a $20 million Series A led by CRV and a $5 million seed round led by General Catalyst. Founded by three former Ramp engineers, the company pivoted to a "creative work agent lab" that generates ad assets and campaigns after abandoning its original AI marketing tool and rewriting its entire codebase, and says it topped $1 million in annualized revenue within two months of stealth exit in July.

  18. Semiconductor Engineering Chips and Packaging35

    Ultra-Compact Photonic Bends Reduce Loss While Meeting Foundry Rules (Georgia Tech)

    Georgia Tech researchers published an ultra-compact integrated photonic waveguide bend design method in Optics Letters, achieving low loss at an extremely small radius of 2.3 µm. The method introduces new contour constraints in a topology optimization framework, reducing sensitivity to manufacturing process variations while satisfying commercial foundry design rule checks, and has been experimentally validated.

  19. Semiconductor Engineering Chips and Packaging35

    Monolithic 3D Memristor-TFT Stack For Programmable Neuromorphic Computing (SNU, Yonsei)

    A research team from Seoul National University and Yonsei University published a paper in Nature Communications proposing a monolithically 3D-integrated memristor-thin-film transistor (TFT) reservoir computing kernel. The structure vertically integrates Ru/HfO2/TiN memristors with In2O3 channel TFTs, using the TFTs to electrically modulate memristive conductance dynamics to achieve programmable temporal dynamics over wide timescales, overcoming the fixed dynamics or narrow tuning ranges of most hardware reservoirs.

  20. Semiconductor Engineering Chips and Packaging33

    Programmable Memory Controller Eases Adoption of New DRAM Techniques (ETH Zürich, CISPA, NYU)

    Researchers from ETH Zürich, CISPA, and NYU have published a paper proposing the Terracotta framework, which simplifies deploying new DRAM technologies through a flexible DRAM interface and a programmable memory controller. The framework includes two components: a custom command extension allowing DRAM vendors to define new commands within a single standardized interface, and a programmable memory controller that system designers can program after tape-out to support new DRAM technologies. The paper is available on arXiv (number 2610.06475).