iLoveOncall

Nah I prefer LLM models. Or LLM AI models.

So, not LLM models, right?

Also on this:

The numbers are staggering: The DOE's light and neutron source facilities now produce tens of petabytes of data annually

Come on, petabytes are not staggering for entreprise software.

All the article relies on the premise that selling tokens is profitable. I don't see any indication for this, and it makes the whole house of card crumble.

https://cinema.ageverification.dev is a demo which shows that.

Unrelated to the substance of the comment but this is a depressing example. Imagine having to verify your age and your identity to buy a movie ticket. This is pure insanity.

Dark times are ahead. Anyone that doesn't see we'll all be living in dictatorships within the next 10 years is putting their head in the sand.

If you offload any of your thinking to AI, you're offloading too much of your thinking to AI.

Offload your execution, not your thinking.

Tablets would be compatible, and there's absolutely no indication that there won't be a separate system for computers.

It's actually disingenuous to think there won't be. This is a repository for a mobile app only.

I agree with the sentiment but is there even any phone that doesn't run Android (or derivatives) or iOS and that can install modern "apps"?

And Google's ad revenue from search is over $100B per year.

From search or from adsense? That's very different. People place adsense banners on their websites which has nothing to do with search.

Because it's low quality, entirely written by an LLM, and also plain wrong?

No I don't. But you seem butthurt. You sure are a great CEO.

Very unpalatable completely LLM-written article, but on top of that a lot of the fundations and conclusions are completely wrong, the main one being this one:

You will see people claim Claude uses 2x to 4x the tokens of GPT. Our measurements do not support that, and overstating it would undercut the real point.

It's not because a single prompt represents only 1.7x the number of tokens that a model doesn't use 4x as many tokens as another, when running as an agent. This doesn't take at all the number of tokens of the output into account, and the number of tokens of the potential tool calls from this output, which directly feeds back to input tokens.

The article also has a very small test set (16 documents), all of very small length (15K tokens at most, when models go up to 1M in context and agents routinely exceed this and have to summarize).

Complete garbage article.

AI requiring anything more than ultra basic skills is a complete lie.

Yes, fully agree. "Ask an LLM" does not achieve that.

Anyone who recommends to ask an LLM in the first situation will do so in the second because they're a shit engineer.

"Ask the LLM" is not at all a valid answer in a professional context where part of your job is to educate the less experienced, no matter how little effort is put in the question.

It's not camouflage for ships, it's so it's harder to estimate the distance.

Some new slopware from CloudFlare. They've really lost the plot since they've gone all-in on AI development.

I think it's the contrary. People don't want Zuckerberg reading their private messages, and everyone in Eutope uses WhatsApp, which is advertised as E2E encrypted.

Therefore it makes Chat Control 2 a harder sell.

To be fair I think "<anything> Control" makes it pretty clesr it's nefarious. They missed the opportunity to call it "Chat Safety".

He also has a core belief of equating looking younger with his interventions working

And he looks pretty much exactly his age.

Yeah, they sell the same as XHLMFPETS on Amazon.

It's funny but their homepage exemplifies why one may actually want the "knockoff" brands.

$39 instead of $224 for a pet bed. I know which one I'll buy.

There are plenty of categories of items where the cheap knockoff is perfectly adequate.

Can those AI slop projects have a reserved tag on HackerNews? So many in the past few weeks I wouldn't have clicked and wasted my time on if I knew it was just some vibe-coded garbage.

OpenAI and Anthropic aren't charities, so whatever cost they inccur for training will be passed down to the companies using the models. So you absolute should include it.

How is a government controlling the other 190+ sovereign countries?

Ok? How is that relevant to the issue at hand?

This is useless because AI has nothing to do with intelligence. It's just software.

You cannot ban local AI without banning local software which is obviously impossible.

Possession of software, even software that can be used for illegal purpose such as RATs and other viruses isn't illegal.

If people were expressing their experiences working with two prolific software consultants across their various industries would you make the same claim?

If they are as ridiculous as they are when it comes to comparing models, yes I would.

I'll leave the conversation at the fact that it's painfully clear that you don't write software for a living.

My colleagues will thank me for speaking non-stop right next to them surely.

Re-read the comment I'm replying to, it's not talking about benchmarks, just models.

My point is that it is much faster for me to solve the problem by writing the code than to write specifications detailed enough for the model to do the right thing in the right way.