sarkarghya

Here is openai:

https://help.openai.com/en/articles/8912793-provenance-signa...

There is rate limit though

We're seeing a lot of acquisitions in this space. First Electric (pglite) was acquired by DataBricks (Neon) now this.

i think nats jetstream is superoverlooked in this space. the amount of throughput is more then enough for any medium scale enterprise as long as you know what you are doing

I can imagine advancements on making smaller models work together better instead of a generalized core. Imagine a community or city having a https://pirateface.co/ so that the shard of the model that you need can be streamed in with minimal latency with your box only holding the minimal version (say deepseek v4 flash as orchestrator) of the model that you use on day to day basis.

We have overcome split brain problems before so this wont be our first

I mean, it sounds like it's only ideal for cases with significant system prompt overhead. I don't think Jev was built to have a large well described prompt setup. To me its more like a happy go lucky small label classification tool with important decisions left to stronger agentic models or yk humans.

As someone who has an ide open with claude/codex running, I can never imagine leaving security up to models.

Models have found vulnerabilities that i wasnt aware of sure, but their fixes to the bugs they found often included "overengineering". In this case by "overengineering" i mean optimizing for passing test cases related to said vulnerability they found. eventually i have to step in to make things coherent and make sure that future agent can look at this part of my code and copy it to not introduce that particular class of vulnerability. Otherwise if i dont do that similar vulnerability and codesmell keep appearing throughtout the codebase.

I have increasingly automated encrypting and rotating secrets and setting permissions on them including better network level practices. Thanks to AI which helped me quickly implement those. So security wise i am better because of AI? But I also attribute it to my know how rather than the AI because I have never seen AI suggest robust but simple security postures.

and thats why boys and gals you buy own gpus

Surprising i surmise something went wrong during astra release/test

i am actually curious how they get upvoted though? Are the bots really out of control

thanks

This was bound to happen. First windsurf and now this. This represents a shift towards profitability in the industry.

Honestly to use llms properly all you need to know is that it’s a next word (or action) prediction model and like all models increased entropy hurts it. Try to reduce entropy to get better results. Rest is just sugarcoated nonsense. To use llms properly you need a physics class.

Expected after they dismantled safety teams