Viewing profile — Tenoke

Fable has more parameters. In practice it's not yet clear which one would be better for different usecases yet but they are more different than one being strictly better.

Mistral is much worse in its respective field than Flux in their own so I hope not.

Flux 2 Dev Klein has practically been the best you could use on most commercial hardware so I really hope Flux 3 has a comparable updated open-weights model to it. if not it'd be a…

Y Combinator the company doesnt particularly have to share the opinions of hackernews the public site.

Because sadly, as much as I wish it wasn't the case, offense is easier, more impactful than defense.

I am very pro open source models - I use them every single day.. But we obviously don't want everyone to have capabilities like and beyond what caused the huggingface incident in e…

There's ways to make sure env vars get only injected at runtime and arent easily accessible otherwise or to even make them inaccessible to the user your agent is running on, and fo…

That's kind of insane. Natural that it's happened, sure, but insane. I know people don't like thinking of it like that, but things analogous to this can easily happen in various do…

It's also very possible that they know their big model underperforms chatgpt 5.6 and fable by too much, so they are focusing on what they can get wins in like speed instead.

I do that but it ends up putting so much extra crap there that it has the same drawbacks.

Claude seems to forget what you tell it in very long work sessions (things that take weeks to develop), no matter how many times you tell it which part is extra important. I dont u…

>The human brain manages to self-organize with only a fraction of the information that LLMs get trained on. So? The question isnt can we get to ASI as efficiently as a brain, the q…

LLMs dont just use text for a while now. It's also not fully supervised for a while.

You can watch the whole Lex Friedman interview, it's on youtube. It's not out of context at all. He goes on about how LLMs will never be able to do things that they do trivially. A…

https://youtube.com/shorts/zQTt8TkcyfU?is=09r7XDqz2w6-Pygu You probably wont like the edit but I dont have the timestamp of the original on hand, you can find it.

>He's merely said they don't think He said years ago even 'GPT 5000' couldnt do things that they ended up doing fine a month later, let alone by 5000. His later predictions are jus…

His main anti-LLM predictions have been consistently either wrong or misleading. There's many ways to skin a cat so you can probably do something with a JEPA approach as well, but …

Is any of those comparisons about Pro vs non-Pro (Pro is only available in $100+ plans)? I am curious about that but I think Sol, Terra, Luna are different sizes of it without the …

8B sounds tiny. Of course, that's enough to easily run on device which is nice, but surely the actual SOTA must be some much bigger model?

If you are imagining that, you could imagine it with search doing the same 10 years ago, which would have more thoroughly prevented you from researching things.

>but you cannot really hold a "portfolio" of it in any sensible way. xAI effectively did and lucked out to cover their losses and more with it.

1. The liquidity is not infinite to compound that easily. 2. The alpha dries up with more players, even in the year or whatever since that founder started.

He's been interested in forecasting since a long time before there was any money in it, and still hyped Metacalculus (free research project) and Manifold (play money) because he is…

In theory but in this specific example you can make a lot more money on the stock market instead if it's that doable. In general you should judge different prediction markets diffe…