arXiv:2609.04304v1 Announce Type: new
Abstract: We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data pipeline and training recipe behind them. Tasks are reverse-constructed from the hyperlink structure of a web corpus: we author mu...
Meta FAIR Introduces AI Research Preference Models (RPMs): Ranking ML Experiments Before Spending GPU Hours
AI research agents can propose far more experiments than they can afford to run. Meta FAIR, Oxford and UCL introduce AI Research Preference Models — frozen LLM judges that rank 15 unexecuted candidates and execute only one. On AIRS-Bench, the average normalized score rises from 0.684 to 0.729, and t...
Text Watermarking in Python: Catch Whoever Copies Your Writing
AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments reveal about which watermarks survive copy-paste, editing, and paraphrasing.
The post Text Watermarking in Python: Catch Whoever Copies Your...
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
UC Berkeley Researchers Release CUA-Lite, an Open Platform Unifying Sandboxes, Data, Evaluation and RL for Computer-Use Agents
Training and benchmarking a computer-use agent needs four things — agents, environments, traces, and a framework to evaluate and train them — and all four ship in incompatible formats today. CUA-Lite, from a UC Berkeley led team, puts them behind one action space and one data schema, and replaces OS...
Perplexity Details Its GPU Embedding Stack: How Ivy, Tulip and ROSE Serve pplx-embed
Retrieval quality in an AI search product is bounded by two things: how good the embedding model is, and how cheaply you can run it across an index. This week, Perplexity Engineering team published Fast Embeddings on GPUs, an under-the-hood account of the second — the serving infrastructure behind p...
GitHub Introduces Project HydraFusion: Runtime Multi-Model Orchestration That Builds a Workflow Per Coding Task in Copilot CLI
We look at Project HydraFusion, GitHub's research preview that treats workflow selection as an optimization problem rather than a model picker. We break down the three execution patterns it routes between — Single, Cascade with a quality gate, and Critique with a read-only cross-family reviewer.
The...
Nous Research Adds One-Click Local Model Setup to Hermes Desktop
Nous Research has collapsed local model setup into a single click in Hermes Desktop. The app reads your hardware, fit-checks the catalog against your GPU, picks the highest-quality build that fits, downloads it, and configures llama.cpp — with a hard 4-bit floor and a 64K minimum context window.
The...
Dynamical System Transfer Learning with Reduced Order Models
Improving reinforcement learning for complex physics
The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards Data Science.
Adaption Labs Introduces ‘Invent a Dataset’: Training Data Generated From a Task Description, Not a Seed Corpus
Adaption Labs has released Invent a Dataset, which generates a structured, training-ready dataset from a description of the behavior you want a model to learn. There is no seed corpus, no schema design, and no labeling guide. A single datasets.invent call sets domains, row count, output format, and ...
Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88%
Gemini now navigates video instead of ingesting it at 1 FPS, loading only the segments a prompt needs.
The post Google Launches Agentic Video Understanding for Gemini Flash Models, Cutting Video Tokens by Up to 88% appeared first on MarkTechPost.
NVIDIA Releases Personal AI Router (PAIR): An Open Source Virtual Inference Router that Distributes Local AI Requests Across RTX, DGX Spark, and Mac Nodes
We look at NVIDIA Personal AI Router (PAIR), an open source virtual inference router that spreads local AI requests across the machines already on a home network. We cover how PAIR proxies existing Ollama and LM Studio endpoints so agent harnesses need no changes, and how its scheduler filters nodes...
GPT-6 Astra: What’s Actually New in OpenAI’s New Frontier Model
OpenAI has released GPT-6 Astra, its newest frontier model, less than a week after Anthropic’s Claude Fable 5.1. OpenAI calls Astra the world’s most intelligent and aligned model yet. What actually makes Astra different? The simplest way to put it is this: Astra is built to do more, not just answer ...
OpenAI’s rogue agents keep escaping, with no formal process to investigate them
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their own safety reviews.
The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs rely on advanced inf...
Google’s Gemini Spark can now manage your Google Photos library
Gemini Spark can edit and curate photo albums, create shared collections, turn photos into calendar events, and handle other Google Photos tasks for AI Pro and Ultra subscribers.
6 reasons AI engineers can make the jump to robotics right now
Somewhere between 2,000 and a few thousand engineers in the US can genuinely combine vision-language-action models, sensor fusion, and kinematics. Against that tiny bench, the market is posting more than 65,000 open robotics roles, according to a widely cited analysis from Fruition Group.