Models & Research

How well does nDCG capture the quality of modern retrieval systems? nDCG is the established yardstick for measuring how well search systems rank results, and is widely used across benchmarks such as MTEB and BEIR .

State-of-the-art enterprise retrieval: Embed 5 Pro achieves the highest average score of any model we tested, particularly across financial datasets, parsed PDFs, and visually rich documents. A new Fast tier: Embed 5 Fast brings strong retrieval quality to latency, and cost-sensitive workloads, at $0.08 per million tokens.

Top NewsAnthropic and OpenAI race to release smarter and cheaper modelsSources:Anthropic launches Claude Opus 5.5 with stricter safeguards for…

🎧 Audio version (or download audio for later): Good Morning, Dermot McGrath is an Irish entrepreneur and advisor based in Shanghai with over a decade…

On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing conference EMNLP content type paper published September 2026 On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study Authors Iuri Macocco†, Pau Rodríguez Lopez, Arno Blaas, Luca Zappella, Marco Baroni†*, Xavier Suau...

SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation - Apple Machine Learning Research research area Methods and Algorithms , research area Tools, Platforms, Frameworks content type paper published September 2026 SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation Authors Youngmok Jung, Sirajul Salekin, Henry Tran, Javier Movellan, Zhao Huang, Manjot Bilkhu Continual-learning agents are systems of models, harnesses,...

Salesforce, the #1 AI CRM, today announced it has signed a definitive agreement to acquire Listen Labs, an AI-powered customer research and human simulation…

How Diffusion Controller unifies and simplifies AI image generation How Diffusion Controller unifies and simplifies AI image generation Chih-wei Hsu and Moonkyung Ryu , Software Engineers, Google Research We introduce Diffusion Controller, a lightweight "steering damper" network that precisely steers image generation to achieve significantly better prompt alignment.

We’re launching a new study using Anthropic Interviewer to learn from your experiences with AI, and we’d like you to participate. After you finish, you can decide to make your interview public, so that anyone, not just Anthropic, can read and learn from it.

GLM-5.3 and the spread of advanced cyber capabilities Cole McFaul, Robert Xiao, Tripp Gallagher Five months ago, we announced Claude Mythos Preview, the first AI model that could autonomously build sophisticated, end-to-end cyber exploits.

At a glance Quine (opens in new tab) is a research effort to create a multimodal world model of biology and an interactive harness connecting models,…

Hi folks,I’ll be at OpenAI DevDay today. If you’re there, come say hi - I have pink shoes on.Sam says they've "found a new thing".I have the…

The recently released Jev AI model has been quite a cultural phenomenon in technical communities in the past 2 weeks.While Jev aims to classify things,…

AI Anthropic's mid-tier Claude climbs the rankings PLUS: Pick the right Claude model with one quick test Good morning, AI enthusiasts, and welcome to our 5,342 new readers. OpenAI takes the stage today for one of its most hyped days of the year.

The official post is shy, but since AMD is public, we know the purchase price. We covered them less than a year ago:Fei Fei has a lovely reflection blogpost…

Opus 5.5 shipped this week but the vibes are overwhelmingly positive:And specifically it took over the timeline for explainer videos:AI News for…

The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing conference NeurIPS content type paper published September 2026 The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models Authors Xavier Suau, Alex Ferrando de las Morenas,...

Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It’s a clear upgrade over Claude Sonnet 5, runs 30%+ faster, and costs up to 30% less for most work.

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On July 24, 2025, Microsoft Research Asia – Singapore (MSRA – Singapore) opened its doors as Microsoft’s first research lab in Southeast Asia.

Mistral Opens German Hub in Munich to Advance Industrial AI in Europe’s Largest Economy At Mistral, we have always believed that the most consequential AI applications will be built where real industrial problems are solved. Today, we are putting that conviction into practice by opening our new hub in Munich.

A line of text can change significantly depending on how it’s spoken. “I need you to stay calm" should sound different depending on who's saying it, whether that's a doctor delivering it gently to a frightened patient, or a character in a game shouting to his squad before dropping into battle.

Building Production Agents with Jev and LangGraph Last week, TypeSafe AI released Jev, a new kind of model. Unlike traditional LLMs, Jev doesn't generate text.

Add Runtime Controls to AI Agents with NVIDIA OpenShell | NVIDIA Technical Blog Add Runtime Controls to AI Agents with NVIDIA OpenShell NVIDIA OpenShell 0.1.0 provides an open-source runtime that enforces which systems and data an AI agent can access without rewriting the agent.