OZZZER · AI NEWS

Latest AI news.
Editorial picks.
AI News

Selected signals with a direct route back to each original source.

Share AI News
LinkedInX

Latest stories

Models & tools

Airbnb widens access to GPT-6 Astra and OpenAI frontier models

Publisher preview

Under a new agreement, Airbnb is giving its engineering and product development teams broader access to OpenAI frontier models, including GPT‑6 Astra. The expansion builds on Airbnb’s use of Codex and longstanding collaboration with OpenAI. Airbnb engineers use an internal AI assistant for writing software and creating remote AI agents powered by Codex and models like GPT‑5.6 Sol, Terra, and Luna. The new agreement gives Airbnb broader access to OpenAI models through OpenAI APIs and Amazon Bedrock. It arrives amid accelerating

OpenAI · 23 Sep 2026 · 03:00 CESTRead story →Original ↗
Share
LinkedInX
Grab and OpenAI bring practical AI skills to Southeast Asia

Unclassified

Grab and OpenAI bring practical AI skills to Southeast Asia

Publisher preview

Our first regional skilling programme will help 30,000 Grab driver-, delivery-, and merchant-partners build practical AI skills for their work and businesses Across Southeast Asia, merchants make daily decisions about sales, stock and promotions. Some people who work in the gig economy are exploring business ideas of their own. AI can help people work through these questions, but finding useful ways to apply it takes practice. That’s why we’re launching GO Forward with AI today with Grab, Southeast Asia’s leading superapp. Over the next two years, the programme will help…

OpenAI · 23 Sep 2026 · 02:00 CESTRead story →Original ↗
Share
LinkedInX
Better prompt caching for GPT-6

Unclassified

Better prompt caching for GPT-6

Publisher preview

Higher cache hit rates and new tools to help persistent agents run faster and cost less. GPT‑6 enables persistent agents to work for hours on complex tasks, from refactoring codebases to producing well-researched documents and presentations. The applications behind these agents make a series of API requests that build on one another, often carrying forward the same instructions, tool definitions, and context from earlier turns. OpenAI caches that shared context to reuse computation across requests, reducing response times and giving developers discounts of up to 90% on cached input tokens.…

OpenAI · 22 Sep 2026 · 23:00 CESTRead story →Original ↗
Share
LinkedInX
Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research

Research

Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research

Publisher preview

Patricia and James Poitras ’63, longtime MIT supporters, have launched a fellowship program for graduate students and postdocs studying major mental illness, expanding their MIT philanthropy to directly support early-career scientists. The commitment establishes 50 two-year fellowships through the Poitras Center for Psychiatric Disorders Research at MIT’s McGovern Institute for Brain Research. Five fellowships will be awarded every year for the next decade, creating a long-term talent pipeline focused specifically on psychiatric disorders. The $10 million gift is the latest in a series of philanthropic investments from the Poitras family…

MIT News · 22 Sep 2026 · 21:00 CESTRead story →Original ↗
Share
LinkedInX

Unclassified

Introducing GPT-6 Sol and Luna

Publisher preview

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 ↗
Share
LinkedInX
Claude discovers a novel enzyme system with CRISPR-like repeats

Healthcare

Claude discovers a novel enzyme system with CRISPR-like repeats

Publisher preview

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 ↗
Share
LinkedInX

Research

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

Publisher preview

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

Content Creation

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

Publisher preview

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 ↗
Share
LinkedInX
Transformers now runs llama.cpp quants

Unclassified

Transformers now runs llama.cpp quants

Publisher preview

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 ↗
Share
LinkedInX
How UK AISI and EvalEval Are Making Benchmark Results Reproducible

Research

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

Publisher preview

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 ↗
Share
LinkedInX

Unclassified

Priorities and principles for effective third party assessments

Publisher preview

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 ↗
Share
LinkedInX