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

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.

Don’t be fooled by this summer of AI hype

It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed…

[AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M

crowning a new Chinese frontier lab

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

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

Transformers now runs llama.cpp quants

Priorities and principles for effective third party assessments

OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.

Jev introduces a new shape of LLM - System One, aka Decision Models

TypeSafe AI has unveiled Jev, its first "System One" or decision model, which accepts text input but returns floating point numbers for categories, yes/no questions, ratings and confidence scores rather than text. Jev charges only for input at $0.042 per million tokens, and community projects including open weight recreations have appeared within a week of release.

Cloudflare Python Workers are now generally available

Cloudflare's Python Workers platform is now generally available after a two-year preview, making Python a first-class, fully supported language. It runs Python compiled to WebAssembly via Pyodide in the V8-based workerd runtime, with threading and multiprocessing non-functional.

Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

Diogo Almeida, CEO of TypeSafe AI, discussed the launch of Jev, a "System One" model optimized for intelligence per dollar, on the Latent Space podcast. Almeida described Jev's core innovation, Reinforcement Learning for Calibrated Decisions, and argued against RLHF and RLVR as training paradigms.

Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton

NVIDIA Dynamo-Triton release 26.07 enables the TensorRT backend multi-device capability, letting one KIND_MODEL instance own multiple GPUs and serve distributed inference through a single gRPC endpoint. A Cosmos 3 Nano demonstration cut end-to-end generation latency from 156.6 seconds on one GPU to 34.2 seconds on eight GPUs.

How to Evaluate AI Agents From Tool Calls to Task Completion

NVIDIA published a developer blog explaining how AI agent evaluation has shifted from scoring single function calls to measuring full task completion in executable environments. It describes step-level and end-to-end scoring on execution traces, a benchmark-trial-task-turn-step metric hierarchy, and reports Nemotron 3.5 Lightning at 86% accuracy on PinchBench while finishing tasks 30% faster than Qwen3.6 35B at comparable accuracy.

NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories

Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is introducing […]

Why Deploying Physical AI at Scale Demands Safety at Every Layer

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]

From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead […]

Improving synthesis prediction of small molecules at scale with RetroChimera

Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research .

Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2

NVIDIA published a tutorial on AI data assimilation tools in its Earth-2 platform, covering Score-Based Data Assimilation for regional diffusion models and HealDA for global atmospheric state estimation. It reports wind-speed RMSE reductions of 54% in one CorrDiff-COSMO downscaling example and an average of 7.2% across six StormCast-CONUS forecast steps.

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]

Import AI 473: The US's superintelligence strategy; human brain in a mouse skull; and machine hermeneutics

Is the wall AI is hitting in the room with us right now?

How we made the first comprehensive map of deaths along the US border’s “virtual wall”

MIT Technology Review and Times of San Diego published what they describe as the first comprehensive map and analysis of deaths near US-Mexico border surveillance towers, based on a 15-month investigation analyzing nearly 4,000 cases dating back to 2015.