I have indeed forgotten how to do long-division, or how to multiply 3-digits numbers in my head. I also forget things without writing them down in a calendar.
How are these bad things ? We have tools for a reason
73 karma · joined October 12, 2021
I have indeed forgotten how to do long-division, or how to multiply 3-digits numbers in my head. I also forget things without writing them down in a calendar.
How are these bad things ? We have tools for a reason
So not only outpriced, outperformed, but also outregulated.
Idk i wish there was some bright light in the future, but i dont see it
What im really hoping is for a double-punch like with V3 -> R1
I think you need to define "can get coding work done" for this to make sense. Ive been using GPT-3 back-then for basic scripts, does that count ? Or only Claude-Code ?
I also think this is a false dichotomy, if you look at the Project Vend project or Vending-Bench, customer support etc. is at no means trivial. (Old but great story https://www.businessinsider.com/car-dealership-chevrolet-cha...)
Hand-in-hand with the whole "Atomkraft ? Nein Danke" campaign. (https://en.wikipedia.org/wiki/Nuclear_Power%3F_No_Thanks)
I used to own a Dell Poweredge for my home-office, but those fans even on minimal setting kept me up at night
The Asia, Africa & the Americas have so much unused space that isn't as inhospitable as central Australia
Or something like that.
Hope they can figure out software, but what im seeing isn't super-promising
Though design is more akin to the default Apple Music app than WinAmp.
Well done!
But since I wasn't really around for either of those ... ¯\_ (ツ)_/¯
I dont think this is relevant to the main-point, but it's definitely something I wasn't aware of. I would've thought it might have an impact on like O(100)th token in some negligible way, but glad to learn.
I don't think my tech-lead was trying to suggest the floating-point error/non-associativity was the real source.
But at that point i feel like we are getting close to "everything that isn't a perfect Turing-machine is somewhat-stochastic" ;)
Edit: someone corrected me above, it does seem to matter more then I thought
And also just to nitpick/joke:
> More accurately, it is neural networks which are more "stochastic" with their predictions and decisions <...>
I would defend NNs to not even be necessarily stochastic. I had to handwrite weights for NNs in atleast two exams, to fit XOR for example ;)
That's what I tried to explain then as well, and i brought up stuff like path-finding algorithms for route-finding (A*/heuristic-search) as an more old-school AI part, which didn't really land I think.
> Not really stochastic as far as I know. The whole random seed and temperature thing is a bit of a grey area for my full understanding. Let alone the topk, top p, etc. I often just accept what's recommended from the model folks.
I mean LLMs are often treated in stochastic nature, but like ML models aren't usually? Like maybe you have some dropout, but that's usually left out during inference AFAIK. I dont think a Resnet or YOLO is very stochastic, but maybe someone can correct me.
> AI for the most part has been out a couple years.
With this you just mean LLMs right? Because I understand AI to be way more then just LLMs & ML