All tags
Model: "haiku"
not much happened today
glm-5.1 gemini-3.1 gpt-5.4 claude-3-sonnet haiku opus sonnet qwen-3.6-plus qwen3-coder-next-80b z-ai anthropic berkeley langchain alibaba openai model-performance agent-frameworks orchestration model-routing fine-tuning agent-harness model-selection workflow-automation zixuan_li akshay_pachaar harrison_chase walden_yan yuchen_jin sentdex
GLM-5.1 has reached #3 on Code Arena, surpassing Gemini 3.1 and GPT-5.4, and matching Claude Sonnet 4.6 in coding performance. Z.ai now holds the #1 open model rank close to the top overall. The advisor pattern, combining a cheap executor with an expensive advisor, is gaining traction, improving performance and efficiency in models like Haiku + Opus and Sonnet + Opus. Alibaba's Qwen Code v0.14.x introduces orchestration features including remote control channels, cron tasks, and sub-agent model selection. Model routing is becoming a product-level concern due to specialization and spikiness in top models such as Opus and GPT-5.4. The Hermes Agent ecosystem shows strong momentum with a new workspace mobile app, FAST mode for OpenAI/GPT-5.4, and over 50k GitHub stars. Practitioners report Hermes as a reliable agent framework, with local Qwen3-Coder-Next 80B 4-bit replacing parts of workflows previously reliant on Claude Code. The harness layer is emerging as a key abstraction in agent frameworks.
Ways to use Anthropic's Tool Use GA
claude-3-opus haiku opus convnext anthropic amazon google tool-use function-calling agentic-ai streaming vision parallelization delegation debate specialization open-science superintelligence convolutional-networks self-attention ai-research yann-lecun alex-albert sainingxie
Anthropic launched general availability of tool use/function calling with support for streaming, forced use, and vision, alongside Amazon and Google. Alex Albert shared five architectures for agentic tool use: delegation, parallelization, debate, specialization, and tool suite experts. Anthropic also introduced a self-guided course on tool use. Yann LeCun emphasized ethical open science funding, gradual emergence of superintelligence with safety guardrails, and convolutional networks for image/video processing as competitive with vision transformers. He also noted growth in AI researchers across industry, academia, and government.