Reading up on Claude Sonnet
5 deep · digging since mar 25
- What it feels like to work with Mythos - by Ethan Mollick
Ethan Mollick finds Claude 5 Fable (Mythos-class) is a major leap over prior models, capable of autonomously executing multi-hour projects, but shifts his role from wizard to patron as the AI's internal decision-making becomes a black box.
- Computer use is 45x More Expensive Than Structured APIs
Vision-based computer use agents are 45x more expensive and much slower than structured APIs for internal tools, requiring detailed walkthroughs to succeed.
- Auto mode for Claude Code
Claude Code's new auto mode uses a Claude Sonnet 4.6 classifier to grant permissions based on intent, with configurable default allow and soft-deny filters.
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
We’ve post trained a model on top of Qwen that achieves Pareto optimality on accuracy-cost curves. Unlike our previous post trained models, this model has been trained to be good at search and tool calls simultaneously, allowing us to unify the tool call router and summarization together in one model. The resulting model performs better than GPT and Sonnet in terms of cost efficiency to serve daily Perplexity queries in production. The production model runs on our own inference platform. We’re already serving a significant chunk of our daily traffic with this model and intend to have it serve all of default traffic pretty soon. More research to follow soon on models we’re training and deploying for Comet and Computer.
@AravSrinivas