Codex memories are making models have high hallucination rates, struggling to bring bad patterns and mistakes all the time again even in new sessions @sama@atty@_samirism
*Guys, make sure not to just start a new session, clean the .codex/memories or just related your project, to bring one denied and bad past implementation back
@vinig_talks A ideia é que você consiga aprender falando, porém tópicos que fazem parte da tua rotina, tentar inserir essa prática na rotina que você já tem, ao invés de entrar com uma coisa a mais na tua rotina. https://t.co/F4LkLco6nG
We’re excited to introduce Taste Labs.
Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste.
And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners
AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design.
There are two sides to cracking this, the foundation model layer and the agent layer:
- We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments.
- We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs.
We want a future where AI feels right.
If you’re passionate about this mission, join us!