thw09j9m

Post your blind username. I'll message you morning time EST with receipts.

I'm a staff level SWE at a company that you've all heard of (not a flex, just providing context).

If my manager said to me tomorrow: "I have to either get rid of one of your coworkers or your use of AI tools, which is it?"

I would, without any hesitation, ask that he fire one of my coworkers. Gemini / Claude is way more useful to me than any particular coworker.

And now I'm preparing for my post-software career because that coworker is going to be me in a few years.

Obviously I hope that I'm wrong, but I don't think I am.

They're not obligated to enforce the non-compete. If you don't have any sensitive information to take to a competitor, they might not give you any garden leave.

OTOH, I've seen non-competes as long as 2.5 years from places like Citadel.

No. Getting worse with time as well.

I recently decided to double up on my Vyvanse dose (without telling my doctor), and that was effective. For a day.

It's Google. Assume the training set contains, as a subset, the entirety of all public digitized information. How would you like to them to share it?

I think the big picture that many people are missing here is the motivation that all these AI/tech companies have for buying up so many GPU's in the first place: achieving AGI/ASI.

And while some still try to portray a dedication/duty to AI Alignment, I think most have either secretly or more publicly moved away from it in the race to become the first to achieve it.

And I think, given that inference time compute is so much cheaper than pre-training, the first to achieve AGI might have enough compute on hand from having been to first to build it that they would not need to purchase many more GPU's from Nvidia. So at some point, Nvidia's revenues are going to decline precipitously.

So the question is: how far away are we from AGI? Seems like most experts estimate 3-10 years. Did that timeline just shrink by 50x (or at least by some multiple) from these new optimizations from DeepSeek?

I think Nvidia's revenue is going to continue to grow at its current pace (or faster) until AGI is achieved. Just sell your positions right before that happens.

(Not an expert. Not even an amateur)

Tech market is rough. I think BigTech currently thinks that there's a better ROI spending $300k on compute (training an LLM) than $300k on an employee. All the startups I've interviewed with are HEAVILY leveraging LLMs (via Cursor) to keep engineer count and burn rate low.

My thoughts from ~ 6 weeks ago:

>> This is the toughest market I've ever seen. I easily made it to on-sites at FAANG a few years ago and now I'm getting resume rejected by no-name startups (and FAANG). The bar has also been raised significantly. I had an interview recently where I solved the algorithm question very quickly, but didn't refactor/clean up my code perfectly and was rejected.

I've since landed one decent offer, but mostly got lucky (the sys design interview was about an obscure optimization problem that I specialized in for years - though I didn't let on that fact)

Between that time, I failed multiple interviews (always solving the question, but never quickly or cleanly enough).

Companies are incredibly slow to respond back (up to 4 weeks from time of application to first interaction with a recruiter).

Some companies are incredibly demanding (recruiter screen -> tech screen -> tech screen -> take-home test -> group discussion about take-home test -> behavioral / culture interview).

Don't think it's about race. It's just an employers' market. And if you refuse to jump through the hoops, somebody else will.

For reference, the last company on my resume is a top tier company that every recruiter has heard of.

This is the toughest market I've ever seen. I easily made it to on-sites at FAANG a few years ago and now I'm getting resume rejected by no-name startups (and FAANG).

The bar has also been raised significantly. I had an interview recently where I solved the algorithm question very quickly, but didn't refactor/clean up my code perfectly and was rejected.

Noble != Nobel

Tobacco is addictive, nicotine alone without MAOIs is not nearly as addictive.