Anthropic's Claude AI has identified over 100 security vulnerabilities in Firefox, including previously undetected bugs that traditional testing methods missed over decades. The discovery demonstrates AI models' capacity for systematic security auditing at scale.
March 7, 2026
Researchers at Sapienza University of Rome have identified measurable computational traces that appear when large language models hallucinate. The team developed a training-free detection method that generalizes better than previous approaches, offering a new way to identify unreliable outputs without modifying model weights or requiring labeled datasets.
ByteDance has released Helios, a 14-billion-parameter open-weight video generation model that achieves 19.5 frames per second on a single GPU while generating minute-long video clips. The researchers claim this is the first model of its scale to reach near-real-time performance at this duration. Code and model weights are publicly available.
Anthropic has added scheduled task functionality to Claude Code Desktop, allowing users to set up recurring automation that runs in the background. The feature enables Claude to perform routine developer operations like checking error logs and creating pull requests for fixable bugs at specified intervals.
Anthropic has launched the Anthropic Marketplace, a storefront where corporate customers can purchase third-party software applications built on Anthropic's Claude AI models. The marketplace allows enterprises to spend existing AI budgets on third-party tools integrated with Claude.
An international research team released the largest video reasoning dataset to date—roughly 1,000 times larger than previous alternatives. Testing reveals that state-of-the-art models including Sora 2 and Veo 3.1 substantially underperform humans on reasoning tasks, suggesting the limitation isn't data scarcity but architectural constraints.
Anthropic's Claude has reached over 1 million daily signups, according to a new report, surpassing OpenAI's ChatGPT on Google Play Store rankings. The milestone represents a significant shift in user adoption trends for AI assistants.
SoftBank is pursuing a record $40 billion loan to fund its stake in OpenAI, representing one of the largest single financing bets in the AI industry. The move reflects the scale of capital deployment in generative AI but raises questions about leverage-driven growth in the sector.
Google has completed benchmarking tests to evaluate which AI models perform best for Android app development. The company released results identifying top-performing models across coding tasks specific to the Android platform.
Anthropic has developed a new measurement combining theoretical AI capabilities with real-world usage data, finding that programmers and customer service workers face the highest exposure to AI automation. However, unemployment in affected professions has not risen, with only early warning signs appearing among younger workers.
Researchers introduce CONE, a hybrid transformer encoder that embeds numbers, ranges, and gaussians while preserving unit and variable semantics. The model achieves 87.28% F1 on the DROP benchmark, a 9.37% improvement over prior state-of-the-art systems.
Researchers have introduced Timer-S1, a Mixture-of-Experts time series foundation model with 8.3 billion total parameters and 750 million activated parameters per token. The model achieves state-of-the-art forecasting performance on the GIFT-Eval leaderboard, with the best MASE and CRPS scores among pre-trained models.
Researchers propose DynaKV, a post-training framework that dynamically allocates compression rates to individual tokens based on semantic importance. The method achieves 94% baseline performance while reducing KV cache to just 6% of original size on LongBench benchmarks.