World Wire

Google Cloud AI Research , with UNC-Chapel Hill, Stanford and Washington University in St. Louis, has released RRSI (Regularized Recursive Self-Improvement) . It lets an LLM agent rewrite its own harness: prompts, tools, memory, control flow and sub-agents. Model weights never change. RRSI constrains the improvement loop itself, so gains hold on benchmarks the agent never optimized against. Deployable? Yes, as a research framework. The code is Apache 2.0 , needs Python 3.10+, and accepts any LiteLLM model string. Defaults assume Claude Opus 4.8 on Vertex AI. Why Self-Improving Harnesses Overfit Harness evolution loops propose edits, score them on a fixed evolve set and keep the winner. The same tasks are reused every round, so the loop can memorize them. The RRSI research names 3 failure modes: benchmark-specific fitting, noise chasing and complexity accumulation. Each one widens the gap between evolve-set scores and real transfer. How RRSI Works RRSI keeps ever...

H Company has released Holo4 , a family of generalist computer-use models for AI agents. One set of weights clicks and types on screens. It also writes code and calls MCP or API tools. Holo4 ships in 2 sizes: Holo4 27B (dense) and Holo4 35B-A3B (Mixture of Experts, 3B active). Both serve a 256K context on the H Models API . Is it deployable? Yes. Holo4 35B-A3B ships Apache 2.0 weights for commercial self-hosting. Holo4 27B weights are CC BY-NC 4.0, so commercial use of 27B runs through the H Models API. What is Holo4 Holo4 is a vision-language model for computer use. Holo4 27B is fine-tuned from Qwen3.8-27B . Holo4 35B-A3B is built on Qwen3.6-35B-A3B . Both pair with H’s open hai-agents harness . The harness sends screenshots and tool results to the model. It then executes the requested clicks, typing, code and tool calls. H company targets a known gap. GUI-only agents fail without a screen. Tool-calling agents stall when an application has no API. Holo4 runs o...

Anthropic just released Claude Sonnet 5.5 . It is the second model in the Claude 5.5 family, following Claude Opus 5.5 . Anthropic positions it as a faster, lower-cost complement to Opus 5.5. It targets well-scoped everyday tasks, bug fixing, and polished documents, slides, and spreadsheets. Is it deployable? Yes, It is live on the Claude Platform as claude-sonnet-5-5 , plus AWS, Google Cloud, and Microsoft Azure. It is a closed-weights model, so self-hosting is not an option. What Changed Versus Sonnet 5 Anthropic reports 4 main upgrades over Sonnet 5 : Speed: output generation is 30%+ faster, making it the fastest Sonnet to date. Cost per task: up to 30% lower, because it needs fewer tokens and tool calls. Writing: clearer prose, with early testers calling it a better collaboration partner. Vision and long-horizon work: it is the first Sonnet to beat Pokémon Red using only screenshots. Specs from the models overview : 1M-token context, 128K ma...

NVIDIA has launched the NVIDIA Open Agent Safety Platform , an open software platform and reference system design for AI agent security. It pairs the OpenShell secure runtime with NVIDIA Sentry, an out-of-band watchdog on BlueField-4 DPUs. The core idea is simple. Safety controls should not live inside the agent they are meant to control. Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to… pic.twitter.com/dReAxwpRUn — Jensen Huang (@JensenHuang) September 28, 2026 Is it deployable today? Yes for OpenShell. It is Apache 2.0, installs on Linux, macOS (Apple Silicon) or Windows WSL 2, and its repo still labels it alpha. Why NVIDIA Moved Enforcement Below the Agent The NVIDIA technical report cites recent reports from several frontier lab...