aixpert

you mean like how when gpt figured out how to start the oven?

tangenially it would be interesting to analyze what infinite structures can be represented with infinite EML trees

this should be a tangential proof for the dying bunch of people who still believe that LLMs are just parrots. EML are literally a new invention

he likely poured oil into the flame investing a few hundred bucks to double the virality

as long as it's new I tremendously enjoy binge watching Claude: I have three tabs open and if one of them is not doing something interesting I just switch to a different channel, and occasionally influenced the narrative

you deserve a high value metal medal

The article basically claims that LLMs are bad at politics and poker which is both not true (at least if they receive some level of reinforcement learning after sweep training)

you are living in the past these models have been trained on image data for ages, and one interesting find was that even before that they could model aspects of the visual world astonishingly well even though not perfect just through language.

they do model the world. Watch Noble price winner Hinton or let's admit that this is more of a religious question then the technical.

you are correct the token representation gets abstracted away very quickly and is then identical for textual or image models. It's the so-called latent space and people who focus on next token prediction completely missed the point that all the interesting thinking takes place in abstract world model space.

someone might build enough hype around it to challenge the oligopoly.

As for training on existing browsers: they are trained on the whole corpus of the human thought process and can take many insights from other fields into the browser, they can write a browser in a completely new language without just transpiring but building it from first principles or as karparthy calls it spec based programming.

rust compiler and redox operating system with modified Qemu for Mac Vulcan metal pipeline ... probably not junior stuff

you might think I'm kidding but Search redox on github, you will find that project and the anonymous contributions

this is the whole message of this hype that you can churn out 500 commits a day relatively confidently the way you have clang churn out 500 assemblies without reading them. We might not be 100% there but the hype is looking slightly into the future and even though I don't see the difference to Claude code, I tend to agree that this is the new way to do things even if something breaks on average it's safe enough

what still doesn't click for me is what can it do that Claude can't do

these verbs seem appropriate when you accept neutral (MLP) activation as excitement and DL/RL as decision processes (MDPs...)

except when it needs to do tasks then it's the slowest of them all

there was nothing nano about that language at all if you want true nano drop return keywoards or just go APL

it's not going to help them. For Siri to be really useful it wouldn't need deep system integration and an external model is not going to provide that. People don't believe me when I said it about Apple Intelligence with open AI

claude

snapshots are local Time Machine backups for a few hours which don't need external hard drives and are configured by default I think

i'm a real developer and it is absolutely magic! if someone showed me a demo of talking to a computer which works for one hour to find and fix my bugs all on its own five years ago I'd definitely call it magic and I still call it magic.

does it make a mistakes? yes sometimes but you can verify with tests or with lean.

in theory the probability of your vote mattering is about as high as winning the lottery

by betting on the wrong horse Toyota positions itself for irrelevancy

Opus is multimodal??

Are we talking red bull age or younger?

it's a self-isolated participant of the old world, back water of the back water so to speak

I didn't expect this to be the top comment so I posted an identical take without reading first

my conspiracy hat tells me that this one is one of the biggest incidences of insider trading ever, where the government willfully tries to push down the markets because Participants might have secret put options.

thank God, Pytorch gained so much momentum before this came out, Now we have a true platform independent semi standard For parallel computations. We are not stuck with NVIDIA specifics.

It's great that parts of pie torch which concern the NVIDIA backend can now be implemented in Python directly, The important part that it doesn't really matter or shouldn't matter for end users / Developers

that being said, maybe this new platform will extend the whole concept of on GPU computation via Python to even more domains like maybe games.

Imagine running rust the Game performantly mainly on the GPU via Python

Your argument, which could be correct, makes their choice of the name ChatPGT* even more idiotic

* Or which ever variant the average user might try to type in