Easy AI Daily Digest | November 8, 2025

Forum topic · 小凯 · 2026-03-27

Summary

The Easy AI daily digest for November 8, 2025 covers key AI industry updates: Terminal-Bench 2.0 launched with the Harbor framework to fix task difficulty calibration issues; Moonshot AI released Kimi K2 Thinking, a 1T-parameter Mixture-of-Experts model (32B active) with INT4 quantization, 256K context, and support via MLX and Ollama; Unsloth's FastModel now enables MoE fine-tuning; DSPy's FastWorkflow achieved SOTA on Tau Bench retail and airline workflows; and Intel released llm-scaler for optimizing LLM inference on Intel GPUs. Community discussions spanned Kimi K2 performance debates, MoE inference optimization, Gemini 3 Pro benchmarks on LMArena, and free ChatGPT Go and Gemini Ultra access in India. A LangChain/AgentKit/AutoGen agent workshop was also announced.

📅 AI Industry Updates — November 8, 2025

Models & Benchmarks

#### Terminal-Bench 2.0 Released with Harbor Framework Terminal-Bench 2.0 fixes issues with tasks being too easy or too hard, adopts the Harbor framework to support running in cloud containers, and held a launch party with a recorded video.

Terminal-Bench 2.0 announcement
Launch party video

#### Moonshot AI Releases Kimi K2 Thinking Kimi K2 Thinking is a 1T-parameter Mixture-of-Experts model (32B active parameters) with INT4 quantization and 256K context, scoring 67 on the AI Index. It is deployable via MLX and Ollama and integrates with the slime framework.

Kimi K2 Thinking model page
MLX deployment PR
Ollama support

Community Highlights

AI Twitter Recap: Discussions on Kimi K2 performance, MoE inference optimization, long-context information aggregation, DreamGym synthetic environments, and EdgeTAM real-time tracking.
AI Reddit Recap: Kimi K2 performance debates, discussions on AI consciousness development, free ChatGPT Go and Gemini Ultra access in India, and a failed AI-designed cookie box.
Kimi K2 creative writing discussion
Free AI services in India
AI Discord Recap: LMArena on Gemini 3 Pro performance, Perplexity AI on Kimi K2, GPU MODE on the FP4 hackathon and Blackwell bandwidth, and OpenRouter releasing Embeddings and a TypeScript SDK.

Tools & Frameworks

Unsloth MoE fine-tuning: FastModel now supports fine-tuning MoE models, addressing weak MoE support in Transformers, and is compatible with both dense and sparse models. Docs
Mojo updates: try-except error handling outperforms Rust; CPU multithreading not yet supported; compiler still built on C++ and MLIR.
DSPy FastWorkflow achieves SOTA on Tau Bench: Strong results on retail and airline workflows, highlighting the value of context engineering for smaller models. Repo
Intel releases llm-scaler: Optimizes LLM performance on Intel GPUs, supports ERP models, and improves inference efficiency. Repo

Events & Workshops

#### AI Scholars AI Agent Workshop AI Scholars is hosting an online and in-person workshop teaching how to build AI agents with LangChain, AgentKit, and AutoGen, using real customer data analysis problems.

RSVP link

---

*Source: Easy AI teaching project*