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The whole “we provide the most accurate way to predict the future” upside-as-a-counterweight-to-the-downside-of-gambling has always seemed like a hollow benefit to me. I mean, like, okay, let’s say they actually do provide that. Who’s to say that’s a beneficial result? Are we really better off having more accurate forecasting of election results? Or does that just improve boogeyman MBA-types’ abilities to affect election results?

There are only a few countries in the world where 2.1 MB extra would add (barely) more than 1 second to site download based on the country’s median internet connection speeds. The vast majority of countries would see less than <100ms from 2.1MB.

And the bigger thing here is that this is all cached after it’s downloaded the first time.

There’s quite a gap between pirating content (even en masse) and hacking prominent entities.

Why should we discount this model just because other models that are already thought to be worse weren’t very accurate? I’m not in this field at all, so curious if I’m missing something here.

I mean, sure. Things can be wrong if you intentionally misunderstand words to mean something that they weren’t intended to mean. Is there anyone that legitimately thought that “most” here meant “majority of all actual attempts”?

Interestingly, there are many laws against launching precision guided missiles, despite the fact that people were throwing snowballs at each other long before missiles were invented.

Ok I watched the red green picture first and was getting pretty impressed that some type of optical illusion was making the circle appear smaller and smaller to me until it vanished!

Then I realized that wasn’t an optical illusion and instead just part of the setup…

Isn’t this essentially what anthropic is doing, albeit in a manual fashion? They work with code owners to run mythos and find issues.

Why do you say API based llms looking iffy at best? Do you just mean current profitability due to market pressures from some companies’ subsidized investor money?

Surely, even if you’re just using open weights models, it should theoretically be cheaper to use them in a highly optimized cloud architecture(even with vendor markups) rather than each person serving their own models from much less efficient (and more importantly, much less consistent volume) self-owned “server under your desk”?

Boom. ROST’d.

Lawn mower blades are meant to be somewhat blunt. Like a butter knife. Too sharp and the blade will chip away on the harder materials.

All of those supplements are made with “magtein (r)” branded magnesium l-threonate. It all goes back to the same company and that company is the one that has supplied the “studies” that prove its effectiveness. And by “supplied” I mean that the literal vice president of the company’s research arm was an author on at least one of their studies but didn’t disclose his connections until a follow-up update to the study.

I agree that the rapid improvement from like 2023-24 era is over (from a perspective of going from a 3/10 to a 7/10, you can’t then go to a 11/10). There was just so much more space to grow back then.

But isn’t Fable supposed to be another step change? I never used it, myself.

Tbh, at this point I think top tier models are smart “enough” (I’m sure this will look antiquated in a year), and the way to give me MORE noticeable improvement is to make them much faster rather than much smarter. Or even a way to automatically and accurately pick faster models when it makes sense. I know that IDE’s have Auto modes, but it’s not something that I trust right now to pick smart+fast instead of picking “maybe smart enough”+”cheaper for harness owner”

So what you’re saying is we should see an increase in account hijacks and spamming account creation as scalpers now try to optimize for max s.

Show me the incentive structure and…

Considering he named it “the Tim Ferris mafia” makes me think he’s fully aware of that.

I’m very on the pro-ai side (check my comment history for proof), but this “ai will give us more free time” logic is seeming more and more patronizing (to be clear, I understand that you are being sarcastic haha).

I was listening to a podcast a couple days ago and Brad Gerstner was on and mentioned that with how AI is boosting productivity that perhaps one member of a household would be able to start staying home from work if they wanted. I shut off the podcast after that (to be fair, the podcast just seemed to be one massive SpaceX IPO pump).

It’s just so divorced from reality and every new advancement is just making *higher expectations for doing more work*.

The unfortunate reality is: Companies that are selling ai will sell that ai will make life easier. Companies that are buying ai will demand more from employees using ai (why else would they buy it?).

And every report about AI problems has this comment. Just one more failed use of AI and then AI will stop being useful and go away forever, bro.

Investors aren’t dumb. These numbers are being reported and the fact that the data centers are being rented out is publicly disclosed everywhere. Investors know full well that the revenue is from the data center rental. No (non-retail) investor is going to see the jump in revenue and think “I better buy up because grok must be kicking ass!”

And yes, if hetzner built a massive AI hyper scale datacenter and rented it out for billions, with the expectation that they would keep building more, they would also see massive PE ratios because it’s expected that their revenue would be going up.

You know what? I agree. I should have avoided falling into the same trap.

Gemini 3.0 wasn’t just a marginal improvement over 2.5.

And if you take that out: 1. All of those releases happened literally in the last 3-ish months. 2. They’re all intentionally marginal releases, hence the minor version bumps instead of major versions.

Great. You see a shape in graphs. And that shape tells you that _at some unknown point in the future_ progress will slow (but likely not stop).

Now back to the point, what reason do you have to believe progress will stop soon? If you have no reason, then it sounds like you agree with OP.

Which makes the patronizing sarcasm all that much more nauseating.

It’s wild to me that people in this comment section are suggesting that schools should improve their security by rolling their own platform, which is bound to be filled with security holes, instead of using a popular, maintained, open source option.

If rotten fruit was exceptionally valuable, then people would be paying exceptional amounts of money for it instead of wondering where they can get truckloads of it for free.

For perspective, 28 million gallons of water per day is roughly equivalent to what 93,000 households consume per day. There are ~130,000,000 households in the United States.

That’s quite a takeaway from an interaction with only 2 different people.

Why do you care about either of those questions?

I’m curious if that 1 million DAU still holds as of today. I think it was reported last year some time aka before December when Claude code exploded. A quick google didn’t turn up any results that actually contained sources for the number.

If only there was some way where workers in this profession could form some type of JOIN(but like a vertical version?) between different sets of workers, even crossing company boundaries, so that workers could coordinate to ensure that everyone would be quitting at once, and therefore have any power at all to block anti-worker edicts.

This is a naive take on this. Do you think it stops with just metamates(lmao that’s what they call themselves) being surveilled? Nope. This is the exact type of thing that software IC’s should reject in solidarity. Being happy with BadCompanyX trampling employee expectations directly allows for GoodCompanyY to enact the same policies.

Why do any rules matter for government officials? Should we just make all laws not apply to them because of the pardon?