fitzgera1d

everyone has the same primitives. avi.run is more interesting. and the greatest voice experience i have ever seen

Got a notice they're in the Google Review process and getting a CASA. Takes forever because you have to hire a third party firm for several thousand...

Switched to avi.run already. But loved Manus initially.

I see. how often does AI get the components wrong? This is my big question wrt just in time generative ui. UI built beforehand (also likely generated by ai but vetted by eng team) feels like it has the win here. Why take on risks of non determinism if you don’t have to. This feels like the big pro for mcp apps.

There’s an MCP Apps version of this that is interesting: https://creature.run

Maybe I’m misunderstanding, but isn’t generating UI just-in-time kind of risky because AI can get it wrong? Whereas you can generate/build an MCP App once that is deterministic, always returns a working result, and just as AI native.

Great video!

Github: https://github.com/serverless/containers

Introducing the AWS AI Stack

A serverless boilerplate for AI apps on trusted AWS infra.

• Full-Stack w/ Chat UI + Streaming

• Multiple LLM Models + Data Privacy

• 100% Serverless

• API + Event Architecture

• Auth, Multi-Env, GitHub Actions & more!

Github: https://github.com/serverless/aws-ai-stack

Demo: https://awsaistack.com

"Notably, 'organic' products were significantly more likely to demonstrate higher levels of both lead and cadmium"

Bummer. How widespread is this problem in other organic foods?

thank you for this

Serverless Framework V.4 looks awesome actually: https://www.youtube.com/watch?v=UQL_PPJUFOU

Serverless Framework V.4 actually looks great: https://www.serverless.com/blog/serverless-framework-v4-gene...

Further, I now get emails from legal that regularly seem drafted by ChatGPT.

What's the hallucination rate of human lawyers? Spent $1,400/hour on a series of unusable drafts just the other day.

+1