unknowing

Goal

frontier-models

Frontier models: capabilities, working with Claude Mythos GPT Gemini, delegation patterns, local models as alternatives

4 claims · 0 canon · 4 contributing sources

Claims

SYNTH Frontier models are starting to work like colleagues, not tools — salience 0.64
SYNTH llama.cpp is about 3x faster than Ollama for local inference — salience 0.32
SYNTH GLM subscriptions are the pragmatic fallback when Anthropic limits bite — salience 0.27
SYNTH Raising effort is the canonical way to squeeze more from a model line — salience 0.27

Contributing links

What it feels like to work with Mythos
Claude Fable represents another big jump in AI
shared by @kirillpetrovsky · 2026-06-10 · open.substack.com
Выжать больше из локальных LLM. Ollama медленнее llama.cpp в 3 раза. UD_Q4_K_XL лучше чем Q4_K_M, а вес тот же и т.д
Самый простой способ запустить локальную LLM - это установить ollama или LM Studio. Это быстро и просто, но вы теряете и в скорости, и в качестве. Почему UD_Q4_K_XL лучше при том же размере, почему...
shared by @pavel · 2026-06-10 · share.google
GLM Coding Plan — AI Coding Powered by GLM-5.1 & GLM-5-Turbo for Agents & IDEs
Use GLM models like GLM-5.1 & GLM-5-Turbo for AI coding in Claude Code, Kilo Code, Cline, OpenCode, Clawdbot/OpenClaw and more. Plans from 18/month—fast, reliable code generation and tool use for dail
shared by @sergeykobelev · 2026-06-11 · z.ai
What's new in Claude Opus 4.8
Overview of new features and behavior changes in Claude Opus 4.8.
shared by @sergeykadomsky · 2026-06-11 · platform.claude.com

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