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codila (@0xCodila)

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F*ck YES... Anthropic just released most INSANE cheat code for Claude Code: Fable 5.2 brain → while Sonnet 5.5 builds → Opus 5.5 checks → Haiku 5.5 swarms 1 min + /advisor command = up to 3.4x CHEAPER here's how to setup it: first understand how it works: • This setup works for any tasks: Sonnet 5.5 builds, Opus 5.5 immediently check it, Haiku 5.5 swarm of agent search make research - at 80x cheaper per token than Fable • Fable 5.2 never writes code, it wakes up only 3 times: before a plan locks, when an error repeats, before "done" • you pay Fable prices only for decisions, the cheap models do all the rest here's how to setup it: 1 → run Claude update, Fable 5.2 needs Claude Code v2.1.321+ 2 → paste prompt below into Claude Code, it reads Anthropic's official advisor docs first 3 → it sets team at user level, so it works in every project: Sonnet main, Fable advisor, Haiku for subagents, a Opus checker 4 → it backs up your settings and shows every change as a diff before it applies it 5 → the part nobody tells you: there's one line that tells Sonnet 5.5 WHEN to call Fable. Without it, the advisor got called 0 times out of 198 in Anthropic's test full prompt + Anthropic's official advisor docs below Then read article to use Fable 5.2 at max out:
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Claude Fable 5.2 is the most insane AI model in history... 99% of people will never touch it or burn money on it: "Too expensive", "Not for me" Use it right, and it becomes your second BRAIN, for a fraction of the price In this article, I show you how:
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Claude Fable 5.2 is the most insane AI model in history... 99% of people will never touch it or burn money on it: "Too expensive", "Not for me" Use it right, and it becomes your second BRAIN, for a fraction of the price In this article, I show you how:
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Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓
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Claude Code team just dropped a free course on loop engineering with Fable 5: 00:00 - how Claude Code works under the hood 05:01 - the agentic loop explained 16:21 - the feature 99% of devs miss: auto mode 19:01 - why voice beats typing 32:34 - auto code review with draft PRs 58:39 - Fable 5 for non-code work this free course replaces every paid Claude Code tutorial watch today, then read the article below on loop engineering by Karpathy
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Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓
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Anthopic CEO to DeepMind CEO: "Every decision I make about Claude feels balanced on the edge of a knife Build too slow - China wins. Build too fast- we lose control " "We told Claude we were evil. It didn't crash. It didn't refuse. It started lying to protect itself " DeepMind CEO: "Do I worry about being Oppenheimer? That's why I don't sleep much" "AGI by 2026-2027 - Agents that act in the world on their own - Models doing AI research by end of this year" this is a 14-min conversation you need to hear watch - bookmark, then read article below ↓
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