3 months ago i resigned from @OpenAI. today we are launching Energy
everyone will soon use AI for all work on their computers, but very few do today even though AI is good enough
our users do days of work in hours. we'll onboard the world to working with ai
Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits.
Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit.
Demand for Fable has been challenging to predict, which is why we rolled it out to subscription plans in stages, extending access several times as we secured additional capacity.
@markletree@coinbase The question is have you seen any degradation in quality when routing to cheaper models or any disruption to your workflows? This feels like definitely where we are heading-sustainable AI usage- and I think we still have a lot of optimization work to do inside harness and context
@fullbarsmedia@bcherny check your env values for any hardcoded sub agents model , if not I usually prompt to main agent to spawn sub agents with the right model for that task which is a cheap win for reducing cost
@fullbarsmedia@bcherny If you are in the ultracode effort mode it loves to spawn an agent army even for a simple task sometimes . the worst combo if the sub agents are also spawned with expensive models like fable or opus which is not ideal and can be overkill for some cases
@artemmurzin How are you planning to address the privacy concerns? I would be very skeptical about sharing my whole chat data in clear format with a third party tbh. those chats include sensitive confidential information
@xNamuken you missed the point. We don’t want to disable it. The word "workflow" is over-triggering the feature, which is very token intensive. It should be a more deliberate decision
@youplusai@phuctm97 end to end test doesn’t capture code quality, architectural drift, individual performance, code maintainability etc
How do you validate those aspects without reviewing? Genuine question
We just released code for Meta-Harness! https://t.co/OdU7zocdPl
Aside from replicating paper experiments, the repo is designed to help users implement good Meta-Harnesses in completely new domains! Just point your agent at ONBOARDING.md and have a conversation
In plan mode it jumps into the conclusion and starts building even when the requirements aren’t fully ready. So I usually groom my idea first by brainstorming and designing it at a high level in regular convo. when I feel ready I ask for a concrete plan to get it done in one shot
slowly starting to use plan mode a LOT less nowadays
i realised whenever i use plan mode, it generates a gigantic plan and then i dont read it and hit build out of laziness
having a meaningful conversation with the AI agent to discuss implementation feels a lot easier 🤔
Today is my first day at Anthropic.
Super excited I shipped my first change today, added source maps so debugging is easier.
Can’t wait to show you all what I’ve been working on!
cc: @AnthropicAI