iLoveOncall

This has nothing to do with that. They probably realized that teenagers are a small enough portion of their userbase that the loss of revenue (and probably lack thereof to be fair) is far outweighed by the opportunity to ask users for their ID.

They just solve problems that nobody has tried to solve in the past 50 years and then announce them as breakthroughs.

This has absolutely nothing to do with the problem at end. I'm so tired of people bringing up random metaphors that don't apply to justify obvious bullshit when it comes to AI.

> We shouldn't be trying to spin downtime as "just a few hours a month." Those hours cost real dollars.

They're also completely irrelevant, you as a customer of a service that is down can lose the same amount of money in a 5 minutes outage or 30 days outage, if you were only relying on this service for one operation that took 1 second and had to happen during the time where the outage happened.

Depending on the service in question, no amount of downtime is acceptable, however unrealistic this is.

> So how about, and I’ll just throw this out there, instead of: > > GitHub Actions: 98.31% uptime. > > We say something like: > > GitHub Actions: 12 hours affected in the last 30 days (98.31% uptime).

The suggested format is equally unhelpful.

You can get 12 hours of downtime by being down once for 12 hours, or 144 times for 5 minutes. The user experience is VERY different in those two cases.

Ultimately the graphs are the most useful format.

This is complete nonsense and absolutely no European considers themself European first and their own country's nationality second. You're neither European, nor American, nor Asian or African or anything else, you're clearly a bot.

Yes, there is a massive difference, and you cannot invert them to get the other.

Watt per Intelligence means that you have a fixed, deterministic, measure of intelligence, and you calculate how many watts it takes to get there.

If your goal is to measure which model can reach a specific outcome with the least energy possible (which is what GP says the goal is for this metric), then you cannot have a variable outcome, which is what intelligence per watt describes. As opposed to watt per intelligence, where the outcome is fixed and the numerator defines how much energy expenditure is needed to reach this fixed outcome.

Then the metric should be Watts per Intelligence, not the contrary.

I'm pretty sure I'm allowed to put personal expenses on my company card but I anyway always have to upload a receipt and for personal expenses I will have to reimburse them (FAANG).

This isn't a bad system because it allows for use in case of absolute emergency, but you have the safeguard of anyway requiring a receipt and a justification.

> We propose intelligence per watt (IPW), task accuracy per unit of power

Stupid metric. It's not because a model is better performing that it necessarily requires more energy or compute.

> they need to federalize

"Shit Americans say"

The EU is NOTHING like the US. The difference between each member is the same as the difference between the US and Mexico, not like the difference between California and Utah.

It's utter ignorance to suggest that the EU could one day become a single country.

Oh ok I assumed Mythos was GA because I have access to it in Amazon despite not being in a security role at all. I guess it's just pay (enough) to play.

Anyway, Fable is supposedly as good (if not better) in programming and it's very far from the paradigm shift that was promised.

No it's not possible. Scam Altman is a serial liar, even long before his OpenAI days.

> To everyone who believes that this is some nefarious plot by CEOs to bring about regulation or to hide that they've hit a wall or whatever

It's this but also much more that those insiders just want to pump the value of their stocks by making it seem like the unreleased models are much stronger than they actually are.

OpenAI said GPT-2 was too powerful to release, Antropic said Mythos was too powerful to release. Both are GA now and everyone has long realized those supposed fears were just lies.

This comment is very clearly a bot for example: http://news.ycombinator.com/item?id=49657869

For comments only, not posts. Downvoting comments will achieve nothing when it comes to reducing the prevalence of AI spam posts.

You cannot downvote posts, which is an issue IMO.

It has been like this for more than a year, a lot longer than just the past couple of months.

HackerNews, just like all other platforms, is heavily astroturfed and the big AI labs have bots commenting and voting, so it'll never end.

The only solution is a platform that only allows humans, with a proof of humanity before posting anything, but not too sure what that can be, and it would ultimately be unsuccessful.

But we have to see the positive, at least less posts about SQLite make it to the frontpage.

The article is about Shopify, not Spotify.

Shopify is handling customer payments worldwide, 90% of their work is probably localization issues rather than customer-facing feature development.

GTA V developers don't give a fuck whether the game is running on a computer in North Korea or in Sweden.

Extremely ignorant comment.

> Maybe Anthropic is confusing Chinese AI providers with token resellers using the same alibaba infrastructure? Or maybe something like openrouter was switching between operators depending on price/demand/availability?

Or maybe Anthropic is scared shitless of those competitors and is trying anything to smear them.

Don't forget their goal is to ban open source and foreign AI. Being the sole legal provider is their business plan.

> Sol xhigh is 90% on TB2.1 but 37% on TB4. Is it also "benchmaxxed"?

Yes? Just like every single model from every single AI lab.

Technically correct is the best kind of correct.

FYI I actually agree, it also surprised me. Anyway everything is deterministic on the website so it's not like that prompt actually has an influence on anything.

This is EXACTLY my experience with it. Ask for it to change one line of code and see it invoke 20 tools and burn 300K tokens before updating the line and adding 50 extra lines of JavaDoc.

Only since 4.8 though.

The whole website is two buttons, so that's pretty much accurate.

> Human engineers would push back or sabotage the effort out of moral duty

You are just too funny.

The main thing to take away from this whole story is that frontier labs have hired teams of mathematicians with the sole purpose of solving open problems.

If this doesn't show you that the fantastical claims of their LLM's ability to solve problems on their own are bullshit, I don't know what will.

It's pretty clear all of this is a marketing effort only, and they pass human results as LLM findings.

We already know that the supposedly industry-changing Mythos and Fable results were actually complete BS and they're just your run of the mill model. There's nothing at all to suggest this is any different, and once we get this "unreleased model" (aka bob from the math department), we'll see it was all lies again.

Only if you understand nothing about the difference between LLMs and AlphaGo.

ChatGPT Images is for me the most impresive of all models, but also the one I hate the most, because of what it's used for: either funny wasteful use, or nefarious use, basically nothing else.

Don't learn programming with OCaml, it's horrible.