Agents

NVIDIA released the FOX factory operations blueprint at GTC Taipei, and Foxconn used it to build the MoMClaw multi-agent system with an expected 80% reduction in root-cause analysis time.

NVIDIA released RTX Spark, a Windows PC for local AI agents with 1 petaflops of AI compute and 128GB of unified memory. OpenShell uses new Windows security primitives with Microsoft, while llama.cpp optimizations raise Qwen 27B throughput by up to 2x.

MiniMax released M3 as an open-source unified model with coding, agent, and native multimodal capabilities, supporting a 1M-token context window and using MiniMax Sparse Attention to cut per-token compute at 1M context to 1/20 of its predecessor, with over 9x faster prefill and over 15x faster decoding.

Qwen Studio lists seven capability areas: chatbots, image and video understanding, image generation, document processing, web search integration, tool use, and artifact generation; the post does not disclose Qwen3.7-Plus parameters, pricing, or release timing.

MWC26 Shanghai will host a humanoid robot penalty shootout in June 2026, with eight Chinese embodied intelligence teams competing under rules that require autonomous play without human control or preset scripts.

Apple will present Siri and on-device AI upgrades at next month’s WWDC, with iPhones running a smaller Gemini-distilled model locally while complex queries route to Google Cloud using Nvidia confidential computing.

PolyRange v1.0 ships 84 WSTG-derived classes across 12 OWASP testing-guide categories. It generates fresh targets per deploy with a chosen LLM, adds two defense tiers, uses an agent-submits-flag oracle, and runs via a single-command CLI on Fly.io or Docker.

Reddit user thibautrey describes a 3-step setup: edit Codex Desktop config.toml, store an API key, and use a multicodex proxy alias to map gpt-5.3-codex to MiniMax-Latest. The post lists a local base_url of 127.0.0.1:1455 and says the proxy disguises returned model names as gpt-5.3-codex.

Renmin University Gaoling School of Artificial Intelligence released a 40-page survey on rubrics for LLMs, organizing the topic into five parts: definitions, construction methods, training uses, evaluation scenarios, and open challenges.

Microsoft open-sourced SkillOpt, a text-space optimization framework that trains Agent skill documents without changing model weights; the paper reports best or tied-best results across 52 combinations covering 7 target models, 6 benchmarks, and 3 execution environments.

MouShen Intelligence released STI-WM, a spatiotemporally integrated world-action model for robotics, claiming support for RGB, point-cloud, and proprioceptive inputs, hundred-second task planning, and disclosing five funding rounds in six months plus a RMB 300 million Pre-A round.

Fudan University and Tongyi Lab introduced ToolCUA-8B, which reaches 46.85% accuracy on OSWorld-MCP after training with about 4k synthetic tools and 180k interleaved GUI-Tool trajectory steps.

NVIDIA, Microsoft, and Arm posted the same “new era of PC” teaser, and the article says the rumored N1X laptop may use a 20-core Arm CPU, a Blackwell GPU, 6,144 CUDA cores, and 128GB of LPDDR5X unified memory, while bandwidth and x86 translation remain the stated constraints.

Tesla FSD V14.3.3 completed a 6,051 km zero-intervention drive from Vancouver to Halifax in 4 days and 21 hours, with the system handling lane changes, complex road conditions, and parking without disengagements or human corrections.

TechCrunch tested Google’s Gemini Spark as a 24/7 AI assistant for inbox summaries and local event planning; the RSS snippet does not disclose pricing, release timing, or why Google made it a separate product.

Ethan Mollick used Claude Opus 4.8 to generate The Veil of History, a website that weights a random human life by 117 billion historical births and, according to the article, uses 4,000 Monte Carlo runs to estimate regional and era distributions.

The FT headline says the UK military is examining lethal strikes without human approval, but the accessible body is a subscription page and does not disclose the weapon types, approval mechanism, legal conditions, or deployment timeline.

Renmin University of China and Zhizhi Institute open-sourced ClawGym, a Claw Agent framework with 13.5K synthetic executable tasks, 200 benchmark tasks, model checkpoints, training data, and training code; ClawGym-30B-A3B scores 56.82 on ClawGym-Bench and exceeds Qwen3-235B-A23B in the reported evaluation.

NVIDIA, Tsinghua, University of Toronto, and Vector Institute released Gamma-World, a multi-agent world model using simplex-based positional encoding and hub tokens to cut interaction cost from quadratic to linear, with 8-player latency dropping from 17.6 ms to 4.5 ms.

Codex can now create, search, organize, and pin conversation threads inside the Codex interface, and start worktrees for parallel tasks.