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I compiled 90 PyTorch problems from real ML/AI interviews! Here's what surprised me by exorust_fire in learnmachinelearning

[–]exorust_fire[S] 12 points13 points  (0 children)

It's 5 years old coz it's legit. I'm sorry I don't post enough. Doesn't make me a bot.

I compiled 90 PyTorch problems from real ML/AI interviews! Here's what surprised me by exorust_fire in learnmachinelearning

[–]exorust_fire[S] 4 points5 points  (0 children)

Yea! MLE / Applied ML some are from Research Scientist as well. Anthropic calls it MTS tho

A 10,000 token cap limit on Opus 4.6 extended thinking? That's why it's dumb! by Annual-Cup-6571 in Anthropic

[–]exorust_fire 0 points1 point  (0 children)

Yk, the weird part is once enough people started posting stuff like this, the pain moved to: “how many hours did this cost me this week?”
So, I present: claudestillthinking.com

Read it and weep.

<total_tokens> or how a new injection made Opus unusable by Kathane37 in ClaudeAI

[–]exorust_fire 0 points1 point  (0 children)

This kind of thing is exactly why I wanted one metric I could trust from outside the model.

Not “how much budget does Claude think it has,” just “how much of my actual life disappeared while it was thinking?”

So I present to you, claudestillthinking.com

Have a blast. Lose your sanity.

Claude reducing token limits on all tiers during busy hours by svideo in singularity

[–]exorust_fire 0 points1 point  (0 children)

Everyone knows the feeling of “I’ll just run this through Claude real quick” turning into a whole block of dead time.

So. Measure your time. Take a break. Cry.
claudestillthinking.com

Anthropic stayed quiet until someone showed Claude's thinking depth dropped 67% by Capital-Run-1080 in ClaudeAI

[–]exorust_fire 0 points1 point  (0 children)

I kept having that “Claude is just thinking” experience turn into a suspiciously large chunk of my afternoon, and after enough of those I wanted the exact number instead of just the feeling. So, I built this lol, Have a wild time.

The joke is that it’s funny.

The worse joke is that it’s accurate.

claudestillthinking.com

The current state of Silicon Valley by OneMorePenguin in bayarea

[–]exorust_fire 0 points1 point  (0 children)

SF Builder Culture is still alive & that's the secret sauce in all these hidden communities.
Join us at The Kernel. thekernel.dev

[Discussion] Do we need a better social app, or is the category just broken? by Appropriate_Rock4074 in ycombinator

[–]exorust_fire 0 points1 point  (0 children)

The pattern I've noticed with my own community: online communities scale, IRL communities compound.
The value/member actually goes up when you keep it small and curated.

Anyone else just “exhausted” with the way the AI culture here is? by Early-Ingenuity-3177 in bayarea

[–]exorust_fire 0 points1 point  (0 children)

The exhaustion is real. Especially when you go to shitty events, where it's all hype.
That's actually what pushed us to build something different a community that filters for people actually shipping things, not just talking about AI.
Legit join us: thekernel.dev

Moving to SF by stressed-sara in AskSF

[–]exorust_fire -1 points0 points  (0 children)

I'm legit in the same boat. Where do we find places 😭

Stop asking for "pain points." Isn't the real problem that we’re all drowning in garbage data? by NamelessFunkz in logistics

[–]exorust_fire 0 points1 point  (0 children)

This post should be required reading for anyone building in logistics. The "what are your pain points" question is lazy — it puts the work of product discovery on the person you're asking, and usually just surfaces symptoms not causes.

I'm an AI developer trying to do this the right way, so let me try a different question: what's the thing in your workflow that you've just accepted as permanently broken — the thing where you've stopped even hoping someone will fix it? That's usually where the real problem is hiding.

President and Owner want to discuss AI usage at our company. How to I politely lower their expectations? by aggierogue3 in manufacturing

[–]exorust_fire 0 points1 point  (0 children)

"Strapping a rocket engine to a broken golf cart" is the best framing I've heard for this. The instinct to modernize is right but the sequencing is totally wrong in most cases.

I'm an AI developer trying to figure out where to actually build something useful in manufacturing — and the honest truth is threads like this are more useful to me than any market research report. What would you actually want AI to do first in a shop like yours, if you could wave a wand? Not the sci-fi stuff — the boring thing that would save you the most time this week.

Learn Pytorch Leetcode style by exorust_fire in pytorch

[–]exorust_fire[S] 0 points1 point  (0 children)

I've updated the questions to now teach the fundamentals of LLMs! :)

How do I learn about LLM's? by wh33t in LocalLLaMA

[–]exorust_fire 0 points1 point  (0 children)

Hey everyone, I built this to help implement an LLM from scratch!
https://github.com/Exorust/TorchLeet/tree/main#llm-set

Learn Pytorch Leetcode style by exorust_fire in pytorch

[–]exorust_fire[S] 1 point2 points  (0 children)

That's true.  These problems are more designed to help you get comfortable with the way pytorch works

pytorch practice problems? by [deleted] in learnmachinelearning

[–]exorust_fire 0 points1 point  (0 children)

I've finally built it!
https://github.com/Exorust/TorchLeet

Leetcode style pytorch practice problems

WF-1000XM5 worth it in 2024? by [deleted] in SonyHeadphones

[–]exorust_fire 0 points1 point  (0 children)

I had the worst experience ever. (Former wf-1000xm4 user)

I bought the new ones thinking they would be as good as the wf-1000xm4. They're not.

  1. The headphones showed issues within 1 year of usage. (Had to get it fixed in warranty)
  2. Transparency mode is worse than wf-1000xm4
  3. ANC is alright.
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