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Anthropic is very focused on AI safety. It makes LLMs safe by shutting down anyone from using them

It's the best way to ensure model wellness

Super sad to see this project get archived. I've really enjoyed working with it, it's been an amazing addition to projects where node-based data structures are obviously the move but I don't want to use server-based approaches.



Answer - MCP servers are APIs, basically. Nice.


Congrats on the more official launch! Super promising, first product that shares dbt-type data organization/orchestration capabilities with a compute layer worthy of replacing existing data warehouses/python environments.


Glad to see it resonates, especially the Python part <3


nice


Agree - V2 apps on machines are incredibly slick to launch (create/start/stop), get info on with graphql, and scale up and out. Magic. When the PG administration experience is that good I'll move it all over.


For a backend person, this is the easiest route - code in Python, built-in or commnunity-provided javascript/css tie-ins, makes sites that are easy to build and also look good. Only issue is that it can't be served statically, so you'd need to host it on a server - but you can get super cheap hosting <$10/mo.


Serverless DBaaS providers and HTTP APIs are a huge new development. Mongo Atlas Serverless, Planetscale (MySQL/Vitess https://planetscale.com), Upstash (Redis, https://upstash.com) and Neon (upcoming Postgres). They add features like merge requests on DDL and make managing DBs as easy as managing Lambda functions. This reduces maintenance overhead significantly.


Yeah it's actually kind of funny - real HODLfolk would never spend crypto when they could spend fiat


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