Benchmarks

NVIDIA Cosmos 3 ranked first in Artificial Analysis’s open-weight text-to-image and image-to-video categories, with 16B Nano and 64B Super variants, and the release includes weights, code, curated datasets, and fine-tuning recipes under the OpenMDW 1.1 license.

MiniMax released the open-source M3 model with coding, a 1M-token context window, and native multimodal support; M3 scores 59.0% on SWE-Bench Pro, 83.5% on BrowseComp, and costs about one-twelfth per token versus GPT-5.5.

Import AI 459 summarizes papers on AI-economy measurement and AI oversight: one estimates U.S. nominal AI GDP at about $250 billion in 2025, with quality-adjusted real growth near 2,600% per year.

A Reddit user ran DeepSeek-V4-Flash with vLLM on two ASUS GX10 DGX Spark nodes and reported 1,680 prefill tokens/s plus 39.8 decode tokens/s at a 256K context with MTP=2; the setup uses TP=2 over RoCE, fp8 KV cache, and fits about 1M tokens safely in KV cache.

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.

Abliterlitics tested 13 abliterated Gemma 4 E2B variants using 44 RTX 5090 GPU hours, and HarmBench ASR rose from the base model’s 32.2% to 82%–100%, while coder3101 scored 84.8% on GSM8K versus the base model’s 83.5%.

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.

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.

Anthropic is testing a Claude AI Fluency scorecard that analyzes Chat, Cowork, and Claude Code history against 11 observable behaviors, with an 11-point maximum score. The underlying study used 9,830 anonymized multi-turn conversations, and iteration appeared in 85.7% of high-quality conversations.

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.

CUHK and collaborators introduced Pion, an optimizer that preserves weight singular values through orthogonal equivalence transformations, and reported that it kept a 60M normalization-free LLaMA-like model stable for 9.6B training tokens while AdamW and Muon collapsed with NaNs.

The author tested MTP on an RTX PRO 6000 Blackwell setup, where Gemma 4 31B on vLLM reached 132.52 tok/s versus a 39.69 tok/s baseline, a 3.34x speedup; the post reports 10 runs of 1,500 tokens each but does not provide a full quality or VRAM evaluation.

Anthropic raised $65 billion at a $900 billion pre-money valuation, above OpenAI’s last $730 billion valuation. Claude Opus 4.8 also scored 10% higher than Anthropic’s previous model on Vals AI’s vibe-coding benchmark.

DeepSeek placed three models in OpenRouter’s monthly top 10 with more than 17 trillion tokens combined, including V4 Flash at 9.13T tokens; the article says Ascend’s MegaMoE operator raised Prefill throughput by 20% to 30% on DeepSeek V3.1 and Qwen3-235B tests.

FaceMind tested 100 languages and four core tasks, finding that, with semantics unchanged, prompts or fine-tuning text using higher-frequency expressions from pretraining data improves large language model performance.

Tesla claimed FSD can be up to 10 times safer than humans, but Reuters found flaws in the comparison, with 11 traffic safety researchers saying Tesla used inappropriate baselines against broader federal crash data.

AutoWebWorld synthesized 29 web environments, 875 pages, and 11,663 verified trajectories at about $0.04 per trajectory, using FSM-defined states, preconditions, and transitions to verify GUI agent tasks instead of human labeling or an LLM judge.

old-mike ran mudler/Qwen3.6-35B-A3B-APEX-MTP-I-Compact.gguf through spiritbuun’s llama.cpp fork on one RTX 3060 12GB, offloading a 17.3GB model and reaching 37.17 t/s generation at 72K filled context, 28.08 t/s at 129K, and PPL 3.2529 on an enwik8 64K-context perplexity test.

Cognition raised a $1B Series D at a $26B valuation and projects more than $1B ARR by year-end; the post says its valuation rose 2.5× from the $10B Series C eight months earlier, while the rest of the issue summarizes agent, inference, benchmark, and multimodal AI updates from May 26–27, 2026.