Reading up on Claude Fable
8 deep · digging since jun 10
- Buoyancy
Buoyancy measures whether AI‑powered products improve with each model upgrade, depending on how much they rely on plumbing versus scaffolding around the model.
- Seats and Sunsets — Steve Yegge
Steve Yegge explains that AI orchestrator fuel costs stem from distrust, showing how seats cache trust to cut token usage and avoid over‑fencing.
- Claude Fable 5.1 and Claude Mythos 5.1
Anthropic released Claude Fable 5.1 and Claude Mythos 5.1, updating its AI model suite with improved reasoning and safety features.
- Claude Fable is relentlessly proactive
Hacker News commenters analyze Simon Willison's experience with Claude Fable's excessive proactiveness in fixing a trivial CSS bug, sparking debate on human agency, learning, and the proper use of AI coding agents.
- Anthropic Employees Accuse Trump Administration of Targeting Them
Anthropic employees accuse the Trump administration of unfairly targeting their company by restricting access to its latest AI models, despite having called for regulation.
Takes
This is the best way to use Claude Fable in Claude Code without immediately hitting your limits. 1. Model set to Fable 5 2. Reasoning on Max 3. Instruct Claude to run a dynamic workflow where: 3a. Fable is the orchestrator 3b. Opus does the reasoning heavy phases Fable is so overpowered that you don't need its intelligence for every step. Let it orchestrate Opus or even Sonnet.
@daniel_mac8
I want to say a final thing about my Fable first reaction: I dedicated my life to programming and I'll use every innovation in the field, also to extract value and bring it to the local inference world, to Redis, and so forth. But:
@antirez
You have Claude Fable for only a few days. Here's how to make the most of it. Introducing /improve: use your most capable model to audit your codebase and write plans for cheaper models to execute later. Studies your code, figures out bugs, perf, tech debt, missing tests, what to build and writes plans any agent can run.
@shadcn