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Rodrigo

@rorroart_code

Rodrigo reposted

We raised $4.1M for this moment: introducing Structify Flows. It's the first “vibe data engineering” platform that lets you do enterprise-grade data work in minutes: With Structify, just describe what you want in plain English. No code. No hiring. No backlogs.


“Bad programmers worry about the code. Good programmers worry about data structures and their relationships.” - Linus Torvalds

stop wasting time on leetcode. learn docker, redis, queues, auth, load balancers, and how to debug prod. you’ll be 10x more hireable than someone who solved 500 dp questions.



"My [31m] wife [30f] wants to have a divorce because she fell in love with gpt-7o-032930. My lawyer claude-opus-6.6-helpfulonly does not approve the agreement's terms"


Rodrigo reposted

I'm noticing that due to (I think?) a lot of benchmarkmaxxing on long horizon tasks, LLMs are becoming a little too agentic by default, a little beyond my average use case. For example in coding, the models now tend to reason for a fairly long time, they have an inclination to…


x.to(torch.bfloat16) is pure evil API design If x is a tensor, it leaves x unaffected and returns a new converted tensor. If x is a model, it's converted in-place. IMO, following the convention, that one should be called to_ But it gets better! In the…

giffmana's tweet image. x.to(torch.bfloat16)

is pure evil API design

If x is a tensor, it leaves x unaffected and returns a new converted tensor.

If x is a model, it's converted in-place. IMO, following the convention, that one should be called to_

But it gets better!

In the…


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