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JUPITER, Europe's first exascale supercomputer powered by NVIDIA Grace Hopper, demonstrated four groundbreaking projects at ISC: mapping the human brain at cellular scale, simulating climate at 1km resolution, building AI for wireless networks, and simulating a 50-qubit quantum computer.

The NAIRR pilot program, powered by NVIDIA AI infrastructure, has supported over 700 research projects, including the development of the Walrus foundation model for fluid simulations and the MIST molecular foundation models for energy storage.

NVIDIA announces its Vera CPU will power new supercomputers at Los Alamos National Laboratory, delivering significant performance improvements for agentic AI simulations and scientific workloads.

NVIDIA announces new AI software libraries and microservices—DAQIRI, ALCHEMI, and cuPhoton—that dramatically accelerate scientific workloads in fields like astronomy, materials science, and particle physics, achieving up to 14,900x speedups over CPU-based pipelines.

Eco Wave Power uses NVIDIA AI infrastructure and digital twins to convert ocean wave energy into clean electricity, leveraging existing marine infrastructure to address growing AI energy demands.

OpenAI expands Daybreak with new tools (Codex Security plugin, GPT-5.5-Cyber model) and the Patch the Planet initiative to help democratize patching vulnerable software at machine speed, addressing the shift from finding to patching vulnerabilities.

OpenAI announces Patch the Planet, an initiative with Trail of Bits to help open-source maintainers strengthen security by using AI models to identify and patch vulnerabilities, reducing the burden on maintainers.

NVIDIA's Rubin generation AI servers achieve 100% liquid cooling with a 45°C coolant temperature, drastically reducing energy and water consumption in data centers.

The blog post describes using local open-weight models like Gemma and Qwen in an agent harness to automatically triage issues and pull requests in the OpenClaw repository, enabling real-time notifications without relying on costly closed API models.

This whitepaper from OpenAI presents practical strategies for using Codex as a persistent workspace to maintain context, manage complex workflows, and sustain progress across long-running projects by breaking goals into verifiable steps.

Tom Di Mino, an AI engineer and amateur linguist, claims to have deciphered the ancient Minoan script Linear A, which has eluded experts for over a century. His solution maps Linear A to an extinct Semitic language and is currently under review by linguistics experts at Rutgers and Cambridge.

This article explores the systemic risk posed by ideologically-driven founders in AI, using Anthropic as a case study, and draws parallels with historical tech leaders.

A new protocol called Agentic Resource Discovery (ARD), backed by Google, Microsoft, Cisco, Nvidia, and Salesforce, aims to standardize how AI agents discover and use tools and services across enterprise systems, enabling agents to autonomously find and query resources from different silos.

The Guardian reports on a viral doomsday thought experiment, Europe 2031, which envisions Europe collapsing by 2031 due to lack of AI investment, aiming to spur European policymakers into urgent action on AI sovereignty.

A detailed personal account of the industry job search process for a PhD in NLP, covering timeline, interview strategies, and lessons learned.

ENPIRE is a framework that enables coding agents to autonomously improve robot manipulation policies through a real-world feedback loop, achieving 99% success on dexterous tasks like pin insertion and zip tie cutting.

Morph LLC describes three key techniques—training a speculator on coding output, auto-searching kernels on cheap GPUs, and writing a custom interconnect—to dramatically speed up open models like Qwen and DeepSeek for coding agent workloads, achieving up to 3x speculative decoding speedup and 97-162 tok/s on a $7K GPU.

The U.S. government shut down Anthropic's Claude Fable 5 and Mythos 5 models via export controls over a perceived jailbreak, sparking controversy about the feasibility of blocking offensive use without sacrificing defensive capabilities. The article also covers other AI developments including MidJourney Medical's full-body scanning and Anthropic's policy proposals.

An analysis of how transparent Google's DiffusionGemma model release is, discussing the implications for AI safety and accountability.

Inception Labs released Mercury 2, a diffusion language model that generates roughly 1,000 tokens per second and outperforms Google's DiffusionGemma on the AIME 2026 benchmark with a score of 90% versus 69.1%, though DiffusionGemma is free and open-weight while Mercury 2 is a paid, closed-weight API model.