LLM

Opper tested 53 leading LLMs with a deceptively simple logic question about whether to walk or drive to a car wash 50 meters away. Only 11 models answered correctly — the car must be driven to the car wash.

Zhipu AI's GLM-5 has claimed the top spot among open-weights models on the Extended NYT Connections benchmark with a score of 81.8, edging out Kimi K2.5 Thinking's 78.3.

Guide Labs has released Steerling-8B, the first inherently interpretable language model that traces every generated token back to its input context, human-understandable concepts, and training data sources.

Stephen Wolfram announces that Wolfram Language and Alpha will be formally available as a 'foundation tool' for any LLM, combining language models' natural language ability with Wolfram's precise computational knowledge.

Google DeepMind released Gemini 3.1 Pro on February 19, achieving 77.1% on ARC-AGI-2—more than double its predecessor's 31.1%—with a 1M-token context window and 80.6% on SWE-Bench Verified.

Anthropic has accused Chinese AI firms of creating over 24,000 fraudulent accounts to extract 16 million training exchanges from Claude for model distillation.

Anthropic launched Claude in PowerPoint, a Microsoft 365 add-in that generates and edits slides from natural language prompts while respecting existing themes. Available as a research preview for Pro, Max, Team, and Enterprise subscribers.

DeepSeek released V4 on Lunar New Year with 1 trillion parameters, 1M-token context windows, and novel mHC architecture. The open-weight model claims benchmark-topping coding performance at 10–40× lower inference costs than Western frontier models.

Qwen3's TTS model encodes voices into 1024-dimensional vectors, enabling gender swapping, pitch adjustment, voice mixing, and semantic voice search through vector math — now available as a standalone lightweight encoder on HuggingFace.

Startup Taalas proposes baking entire LLM weights and architecture into custom ASICs, claiming 17K+ tokens/second per user, sub-1ms latency, and 20x lower cost than cloud — all achievable within a 60-day chip production cycle.

Ollama 0.17, released February 22, introduces a new native inference engine replacing llama.cpp server mode, delivering up to 40% faster prompt processing and 18% faster token generation on NVIDIA GPUs, plus improved multi-GPU tensor parallelism and AMD RDNA 4 support.

Alibaba launched Qwen3.5, a 397B-parameter open-weight multimodal model supporting 201 languages. The company claims it outperforms GPT-5.2, Claude Opus 4.5, and Gemini 3 on benchmarks, while costing 60% less than its predecessor.