samr71

It's not something you need to worry about.

If we get the Singularity, it's overwhelmingly likely Jesus will return concurrently.

They're gonna go public and the market cap will be at ~$300B within a year or two

Gary I respect you - will do!

I have only a resume to convince them. I have job experience at major companies, with examples of what I've built when there, personal projects I've made, a github link, a great GPA from a good school.

And I know similar Junior-mid people in the same boat. We can all do Fizzbuzz, we've all built things, and somehow we're not getting interviews, but people that can't do Fizzbuzz are.

Do thousands of incompetents also machine-gun apply to, say, mechanical engineering, accounting, marketing, HR, or finance gigs? Is it just tech?

Something isn't adding up.

Garry Marcus constantly repeats the line that "deep learning has hit a wall!1!" - he was saying this pre-ChatGPT even! It's very easy to dunk on him for this.

That said, his willingness to push back against orthodoxy means he's occasionally right. Scaling really has seemed to plateau since GPT-3.5, Hallucinations are still a problem that are perhaps unsolvable under the current paradigm, LLMs do seem to have problems with things far outside their training data.

Basically, while listening to Gary Marcus, you will hear a lot of nonsense, it will probably give you a better picture of reality if you can sort the wheat from the chaff. Listening to only Sam Altman, or other AI Hypelords, you'll think the Singularity is right around the corner. Listen to Gary Marcus, you won't.

Sam Altman has been substantially more correct on average than Gary Marcus, but I believe Marcus is right that the Singularity narrative is bogus.

Do we have different definitions of "marginally qualified"? Idk, I feel I'm a decent engineer - I can certainly do whatever leetcode medium they throw at me, as much as this counts of anything - and can actually code, but I still get maybe 1 callback per 50 applications.

Does "marginally qualified" mean "Ivy League Competitive Programmer PhD" or something?

Yup. You can check out of FAANG anytime you like, but you can never leave.

Was path dependency for careers always this bad?

Use another AI, of course!

Idk if I'm even being sarcastic here.

Other than fast factorization and linear search, is there anything that Quantum Computing can do? Those do seem important, but limited in scope - is this a solution in search of a problem?

I've heard it could get us very accurate high-detail physics simulations, which has potential, but don't know if that's legit or marketing BS.

Wait so this tech just...doesn't work yet? Like at all?

I agree. The problem now seems to be agency and very long context (which is required for most problems in the real world).

Is that solvable? who knows?

Gary Marcus is cringe and wrong, but it's good to listen to folks who are cringe and wrong, because very occasionally, their willingness to be cringe means they're not wrong about something everyone thinks is true.

I still don't understand - what was HP paying $110M for??

It's just a really really good markdown editor. With some great power user features. Not sure what else to say!