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.

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

https://www.theverge.com/2019/8/14/20805676/engineer-ai-arti...

(same company, before rebranding to builder.ai)

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

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)

>> 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.

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.

https://d3.harvard.edu/platform-digit/submission/exploitive-....

> Users are assigned an attractiveness score based on how many people like them. The dating apps tends towards a pareto distribution where 20% of the users get 80% of the matches as seen in Figure 5. However, users are sorted based on their attractiveness score, and thus you’re shown users who are roughly in the same league as you. Furthermore, the average male user gets one match in 115 profiles [9]. With only 100 free swipes a day, 80% males who haven’t paid for premium service will average less than a single match a day.

Considering those figures, maybe I'm in the top 20% of the country where I do well (seems unlikely if the 80th percentile is getting less than a single match a day while I'm getting dozens) and I could be anywhere in the bottom 1%-80% in the country where I'm not doing well.

Where I am considered attractive, I've gotten 80+ matches in one day and random women messaging me at 11PM telling me they're lonely and to come hang out. I've had more first dates that involved sex than first dates that didn't.

Where I am not considered attractive, I get literally no matches except for the occasional Onlyfans spammer. It was extremely depressing to go from one extreme to the other and I just don't bother with dating apps at all now.

My real job is to be highly employable and sought after at all times, not fulfilling the needs/wants of my current company.

The data is the data. The data isn't suggesting that "having more black people in your neighbourhood will depress housing prices." That's your take on what a racist causal interpretation would look like.

The correlation is very real and turning a blind eye to it is worse: https://www.brookings.edu/testimonies/how-racial-disparities...