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Introducing GPT-6 Sol and Luna

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More ways to bring frontier intelligence into the work you do every day. Earlier this month, we introduced GPT‑6 Astra, the most intelligent and aligned model in the world. While the most demanding and important projects still call for Astra’s full depth, work happens at different scales, rhythms, and budgets. That’s why we’re expanding the GPT‑6 universe with GPT‑6 Sol and GPT‑6 Luna. GPT‑6 Astra introduced a new generation of intelligence—these models help distribute the benefits of that intelligence by advancing the frontier on cost efficiency. We trained GPT‑6 Sol…

OpenAI · 22 Sep 2026 · 20:00 CESTRead story →Original ↗

Healthcare

Claude discovers a novel enzyme system with CRISPR-like repeats

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We’re introducing a new life sciences research group and laboratory at Anthropic. Our focus is on fundamental biology research using Claude: exploring datasets of DNA to identify uncharacterized protein families, generating hypotheses at scale, and testing them through experiments in the lab. This post introduces the team behind this work and shares early results in which Claude discovered a novel enzyme system with properties reminiscent of CRISPR, with only high-level direction from our scientists.Many discoveries that have revolutionized biology and medicine started with a scientist noticing something odd in the…

Anthropic · 22 Sep 2026 · 18:00 CESTRead story →Original ↗

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Research

Parallel cut research time and cost in half with GPT‑6 Astra

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GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models. Parallel⁠ builds developer infrastructure for AI agents that do knowledge work over the web. Its tools support everything from web grounding for voice agents to research for financial institutions and legal customers, combining frontier models with web search. For Parallel’s longest-running research tasks, getting a high-quality answer typically meant using a bigger model with extended

OpenAI · 22 Sep 2026 · 14:00 CESTRead story →Original ↗

Models & tools

Anthropic introduces Claude Opus 5.5

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Anthropic says its new Opus model performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5 on typical workloads.

Anthropic · 22 Sep 2026 · 14:00 CESTRead story →Original ↗

Content Creation

Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community

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MLX is Apple's framework for local AI, especially optimized for Apple Silicon. We are big MLX supporters since it was the Christmas present from Awni and Angelos in 2023, and proud that Hugging Face is the Hub where people find MLX models and contribute their own. Usage of open, local AI is accelerating, and we believe in a healthy ecosystem where people can find the tools that work for them. Stability, and hopefully faster development! Graduating from a side job to a fully maintained and funded project will allow Jun…

Hugging Face · 22 Sep 2026 · 02:00 CESTRead story →Original ↗

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Transformers now runs llama.cpp quants

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Running AI models on your laptop has become much easier, and llama.cpp has been a big part of that. Its inference engine powers local AI tools such as Ollama, LM Studio, and Jan. Alongside projects like MLX, it has helped make local inference a practical option for everyday use. This is where we are right now. And i’m not gonna lie it feels pretty magical 🧙‍♀️Qwen3.6 27B running inside of Pi coding agent via Llama.cpp on the MacBook ProFor non-trivial tasks on the @huggingface codebases, this feels very, very close…

Hugging Face · 22 Sep 2026 · 02:00 CESTRead story →Original ↗

Research

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

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AISI and EvalEval have previously collaborated on research that began at a joint workshop alongside NeurIPS 2025, and feedback from the Institute has helped shape the Every Eval Ever (EEE) schema. This next phase of the collaboration puts that shared infrastructure into practice. As AI deployment accelerates, evaluations are becoming increasingly important sources of evidence about model and system performance. Yet results are reported across many formats, platforms, and outlets, often without enough information to reproduce them. Running the evaluations again may itself be prohibitively expensive. EvalEval's mission is to…

Hugging Face · 22 Sep 2026 · 02:00 CESTRead story →Original ↗

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Priorities and principles for effective third party assessments

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Frontier AI labs carry an immense responsibility in training, evaluating, and deploying models safely. Third party assessments are a critical part of balancing that responsibility, expanding opportunities for input on AI safety, keeping the world informed, and keeping labs accountable to clear and independently supported safety claims. As part of our efforts to pace the frontier, OpenAI is committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment. That access should enable assessors to challenge our assumptions, identify risks we may have missed, and reach…

OpenAI · 22 Sep 2026 · 02:00 CESTRead story →Original ↗

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Advisory Group on Mathematics and Artificial Intelligence

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On August 28, we began training a new internal model. In addition to resolving the Navier–Stokes Millennium Prize problem⁠, this model has now resolved more than 100 long-standing open problems across most areas of mathematics. The pace of its progress⁠ in mathematics has surprised the mathematicians within OpenAI. This has led to internal discussions on the best way to inform the community of the rapid progress to prepare and adapt the field. Mathematics is a fundamental science, and novel discoveries may result in a wide range of applications. That makes…

OpenAI · 21 Sep 2026 · 14:00 CESTRead story →Original ↗

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Models & tools

Higgsfield AI ships new video features in a day with GPT-6 Astra

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With GPT‑6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster. Higgsfield AI⁠ helps creatives complete video workflows end to end with AI. Its mission is to make creative storytelling more accessible to professionals around the world, including small businesses using video ads to sell. GPT‑6 Astra supports both sides of that

OpenAI · 21 Sep 2026 · 14:00 CESTRead story →Original ↗

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Unclassified

Building standards for the next phase of AI

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Our mission is to ensure that artificial general intelligence benefits all of humanity. As outlined recently by Sam Altman and Jakub Pachocki, we prioritize our work towards this mission with three main goals: Navigate the next period of AI progress, by building an automated AI researcher, iterating with it on the alignment problem, and finding ways for people to remain part of the self-improvement loop. Deliver the benefits of scientific progress and economic growth that very intelligent machines enable. AI is accelerating our own research and engineering, and AI-enabled research…

OpenAI · 21 Sep 2026 · 12:00 CESTRead story →Original ↗

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Expanding OpenAI Academy with new learning paths

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Role-based learning helps employees, developers, leaders, educators, and students build practical AI skills and demonstrate what they’ve learned. Using AI safely and effectively takes practice. People need to learn how to apply it to the work in front of them, whether they’re improving a daily workflow, building a product, leading a team, or teaching a class. At OpenAI, we treat learning as part of deployment. Today, we’re expanding OpenAI Academy with new courses for developers, leaders, educators, and college students. These join Apply AI at Work, which helps people build…

OpenAI · 21 Sep 2026 · 09:00 CESTRead story →Original ↗