LatchBio published an independent analysis of Grok 4.6 on its BioSecBench-Refusal and BioSecBench-Surveillance benchmarks, finding the model to be the strongest at refusing disguised hazardous tasks among tested frontier systems.
Researchers have formalized inference-time denial-of-service (PI-DoS) attacks that exploit the high computational cost of explicit multi-step reasoning in Large Reasoning Models (LRMs). They present ReasoningBomb, a reinforcement-learning-based framework that trains an attacker to generate short natural prompts that drive victim models into pathologically long and often non-terminating reasoning traces.
OpenAI has released two new models, GPT-6 Sol and GPT-6 Luna, which are now live in the OpenAI API. These models sit below the previously launched GPT-6 Astra and aim to bring its technical advances to faster, more affordable tiers for complex coding and high-volume everyday work.
Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family, positioning it as a more efficient alternative to previous generations. The model is designed to perform at the level of Claude Fable 5.1 for most tasks while costing 40% less to run than Opus 5.
Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family, which performs at the level of Claude Fable 5.1 on most work while costing 40% less to run than Opus 5.
SpaceXAI has released Grok 4.7, a new flagship model for coding, agentic tasks, and knowledge work that utilizes a larger base model and extended reinforcement learning run compared to Grok 4.6. The model maintains the same pricing structure as its predecessor while offering enhanced capabilities in self-verification, long-context handling, and safety.
OpenAI has released GPT-6 Astra, its new flagship vision-language model that achieves top or near-top rankings on major AI leaderboards while using significantly fewer tokens and costing less than competing models. The model is designed to meet OpenAI's critical cybersecurity level, with advanced cyber capabilities restricted to selected organizations.
OpenAI has officially launched GPT-6 Astra, positioning it as its most intelligent and aligned model to date. The rollout targets computer use, software engineering, math and science, office work, and cybersecurity.
OpenAI has released GPT-6 Astra, a new model available to ChatGPT Plus, Pro, Business, and Enterprise users, as well as via the OpenAI API and AWS. The model is priced at $10/million input and $50/million output tokens, positioning it as a competitor to Claude Fable 5.
Anthropic has released Claude Fable 5.1 and Claude Mythos 5.1 as its new flagship models for coding and knowledge work, positioning them as the world's most advanced models for autonomous, multi-step tasks.
Anthropic has released Claude Fable 5.1 and Claude Mythos 5.1 as its new flagship models for coding and knowledge work, positioning them as capable of autonomous, multi-step tasks. The release includes a significant reduction in cache read pricing to $0.25 per million tokens, alongside a 1 million token context window.
Anthropic has released Claude Fable 5.1 and the restricted Claude Mythos 5.1, both sharing an underlying model but differing in safeguard layers. Fable 5.1 is generally available across major cloud providers, while Mythos 5.1 remains limited to vetted organizations.
A comparison of GLM-5.3 and its distilled variant, GLM-5.3 Flash, on the DeepSWE benchmark reveals that distillation preserves core coding capability while significantly reducing rollout costs. The full model achieves a 69.0% pass@1 rate at $3.99 per task, whereas the Flash variant scores 63.4% at just $0.24, representing a 17x price reduction.
Z.AI confirmed on Wednesday that the Ox Alpha model is a new iteration of its GLM series. The company stated it will release the model's weights later that night, responding to queries by Bloomberg News.
The UK AI Security Institute (AISI) has made publicly reported evaluation methods and findings available through EvalEval's Evaluation Cards platform to improve benchmark reproducibility. This release includes verified results, context, and configuration information for five specific benchmarks: HealthBench, FrontierMath, Humanity's Last Exam, SWE-Bench Pro, and Terminal-Bench 2.0.
The author presents a briefing on the state of open-weight models, noting that Chinese AI companies have become the clear leaders in this space since approximately April 2025. This shift is evidenced by Hugging Face download metrics and performance on capability benchmarks.
The Agent Waste Index has scored 341,054 agent trajectories from 11 public datasets to identify inefficiencies such as loops, blind retries, oversized tool output, and abandoned runs. The analysis reveals that loop and retry behaviors are prevalent in weaker models like Llama agents but rare in Claude 3.7 Sonnet and Qwen3-Coder-480B.
A Mozilla report indicates that China's open-weight AI models have closed the development gap to just four months behind frontier US offerings. Despite this rapid progress, the models continue to lag in certain benchmark evaluations.
The Qwen3.8 Max (0902) model has achieved a score of 45 on the Artificial Analysis Intelligence Index, reclaiming the top spot on China's leaderboard.
Prior Labs has released TabPFN-3.5, a tabular foundation model that predicts on a table in a single forward pass without per-dataset training or tuning. The model scores 0.375 on the private leaderboard of the 2015 Otto Group Product Classification Challenge, beating the original winning score of 0.382 achieved by Gilberto Titericz and Stanislav Semenov.