Models

Meta postpones its next-generation Avocado AI model by at least two months after benchmarks show it trailing rivals, raising questions about the company's $135 billion AI investment.

Alibaba releases four open-source Qwen 3.5 Small models ranging from 0.8 to 9 billion parameters, delivering multimodal reasoning on consumer hardware while the 9B variant outperforms models up to 13 times its size on key benchmarks.

OpenAI releases its most capable model yet with autonomous computer operation and enterprise integrations, but the launch is overshadowed by Pentagon deal fallout and a reported 1.5 million user exodus.

Turing Award winner Yann LeCun's Paris-based startup raises the largest seed round in European history to develop world models, an alternative AI architecture that learns from physical reality rather than text prediction.

Alibaba releases Qwen3.5, a 397-billion-parameter open-weight model that activates only 17B parameters per pass, beats rivals on instruction-following benchmarks, and ships at 1/18th the cost of Gemini 3 Pro.

OpenAI's Pentagon deal sparked a consumer backlash that drove Anthropic's Claude to the top of Apple's App Store, before a surge in demand caused a worldwide outage.

DeepSeek's first major AI release in over a year arrives amid Anthropic allegations that the Chinese lab used 24,000 fake accounts and 16 million queries to extract Claude's capabilities.

Google DeepMind's Gemini 3.1 Pro launches with a 2.5x reasoning improvement over its predecessor, topping the ARC-AGI-2 benchmark at 77.1% and ranking first across most tracked evaluations.

China's Zhipu AI releases a 744-billion-parameter open-source model trained on Huawei Ascend chips that matches Claude and GPT on key benchmarks, sending its stock up 34 percent.

Microsoft Research's BitNet b1.58 framework uses ternary weights to run large language models on ordinary CPUs with up to 92% less energy, challenging the assumption that AI demands expensive GPU hardware.

Both models launched on the same day but target different developer needs — Codex prioritizes speed and agentic reliability, while Opus leads on reasoning depth and multi-agent coordination.

OpenAI releases GPT-5.3-Codex, its fastest agentic coding model yet, but delays API access after classifying it as 'High' cybersecurity capability under its Preparedness Framework.