HackerTrans
TopNewTrendsCommentsPastAskShowJobs

koe123

217 karmajoined 3 वर्ष पहले

comments

koe123
·23 घंटे पहले·discuss
It is one person who controls it, at his discretion who gets to share in the utility. What your saying can also be true without such an ownership model, right?
koe123
·कल·discuss
And you’ve known about this problem for how many minutes?
koe123
·परसों·discuss
> more addictive than hard drugs people should have the option

This seems like a hot take given the (justifiably) illegality of stuff like fentanyl.
koe123
·3 दिन पहले·discuss
As much as I love democracy its unfortunate we both get to vote
koe123
·3 दिन पहले·discuss
I think this problem is especially perfect for an LLM though. Its effectively translating with a great test harness.

As for your other arguments, I’m not certain we won’t just Jevon's Paradox into more work.
koe123
·5 दिन पहले·discuss
As it pertains to military, just wait a few years I think.
koe123
·5 दिन पहले·discuss
Can I ask what data you are seeing?
koe123
·10 दिन पहले·discuss
Personal or work? Used by anyone or for fun?
koe123
·19 दिन पहले·discuss
Correlation isn’t causation. Students with test aptitude and ambition will score hire regardless of the test content.
koe123
·22 दिन पहले·discuss
We were alive in an interesting time where a clerical caste of society was needed to get the most out of capital. Once this is no longer the case it could be that we return to something feudal.
koe123
·24 दिन पहले·discuss
They are new proofs and for sure useful but as far as I’ve understood mainly interpolative. E.g. an LLM can “create” a poem about a purple chicken as it has datapoints for “purple” and “chicken”, so it can create something plausible inbetween.

Similarly, in my mind it can interpolate proofs by interpolating between data points for technique A and technique B. This is novel and brute-forcing proofs this way is useful. It is analogus to how sometimes it can generate programs that pass unit tests, I think.

However, creating fundamentally new concepts outside of the interpolated datapoints is not something I am convinced of. Maybe it can extrapolate some things, if correct add it as a data point, continue. Essentially a search, and it would be amazing if this works and maybe we can get some recursive improvement this way. But the “ideas” it will use to conduct this search are a function of the input data points as well, and thus in my view fundamentally limited in novelty. I am not discounting the usefulness, but I am not convinced you can just keep doing this indefinitely scaling intelligence exponentially.

Of course nobody can know yet really and I am just speculating just like you. But I also think the “experts” Sam and Dario also don’t know, and given their incentives I am not really convinced by them.
koe123
·24 दिन पहले·discuss
Sounds great, but what is this belief based on?

I think having a technical argument is important, as we live in a time with lots of hype merchants who stand to benefit from record breaking IPOs. Propaganda can affect us all, how do you know you aren’t being sold to?
koe123
·24 दिन पहले·discuss
So, what your saying is that there is a perhaps linear, perhaps exponential increase, and that you are projecting that increase forward indefinitely. Let me know if this is unfair.

Counter argument: does anything else work this way? E.g. Moores law had an end too right? I would argue that the core tech breakthrough (Transformer-based LLM) has been improved, but no fundamental further innovation seems to have been made. The current architecture fundamentally hallucinates, even Fabel even on trivial problems. I.e. as number tokens increase error likelihood goes to infinity. How then, can this scale recursively to infinity?
koe123
·24 दिन पहले·discuss
Who reviews these 100s of PRs tho? 100 PRs in an 8 hour workday = 1 PR every 4.8 minutes.

If I saw this happening in my org it would be a huge red flag, am I old?
koe123
·24 दिन पहले·discuss
> singularity

I just cant get over this term, do you honestly believe in this? I use AI daily and while it is super useful I see too many limitations for it to “recursively improve and cause an intelligence explosion”.

1. Clearly, the people selling AI with this idea benefit greatly with this promise of infinite upside. Can you can trust them?

2. Singularity essentially requires to handwave away a lot of baked-in issues with LLMs or rely on unrealized innovation.
koe123
·25 दिन पहले·discuss
100 PRs a day? I am sure this is hyperbole but otherwise you have a quote for me?
koe123
·25 दिन पहले·discuss
I do at least think its certainly the case they cannot stop R&D: no moat without being ahead of open-source right?
koe123
·25 दिन पहले·discuss
Counterpoint: what if he lied in the prospectus? With Elons proven track record of misleading investors and customers I think that possibility has to be considered.
koe123
·26 दिन पहले·discuss
Sounds like a similar track, and I agree that its a useful skill and talent.

What I mainly noticed was, after really understanding my domain, the confidence of the SWEs I was working with despite being incorrect. Now I am a SWE and I try to stay humble.
koe123
·26 दिन पहले·discuss
I think more broadly that grabbing attention with predictions and hot takes has become lucrative, and we definitely don’t celebrate prediction accuracy.