autonomousErwin

I'd bet world models will likely become the new "media" replacing tv, movies, music, video games etc.

What's the biggest differentiator to GitHub (other than uptime). I keep hearing something along the lines of "GitHub for Agents" but would be great to hear from the devs of Origin what they actually think it means in tangible features/functionality?

I could imagine running multiple different AIs seeing if they agree if something is true.

I imagine this is similar to how Twitter's/X's community notes work. Something along the lines of when you have two accounts that disagree traditionally and they agree on something. That's how you know it's likely to be true.

So from that approach, you actually want to have two AIs that are on the other side of the spectrum of whatever you're trying to find out if it's true e.g. if a conservative AI and a liberal AI both agree that something is false, it's highly likely to be false.

I think this is the first real step from Stripe into token economics. They tried with a usage-based product, but from talking to stripe engineers, it sounds like there was less appetite than they thought. Could have been for many reasons, but I wonder if owning the actual request layer is a kind of missing ingredient?

If so many applications are just going to be token resellers (which, to be honest, a lot of very successful companies today are), one of the biggest issues is: if I'm charging my users $10 a month for unlimited AI usage, what does that really mean and look like? Do the other users subsidise the super users' use?

Big companies can stomach this uncertainty if they've raised a tonne of capital, but if you're a little solo-preneur or small startup/business (which Stripe historically favour), you have to know exactly how much this is going to cost you. Else, if you're off by a few zeros, this will bankrupt your company.

I had 2 MacBook Pros. One 2024 and one 2019. The 2024 one would connect fine to the internet, the 2019 one would not.

After pasting in the airportd logs of both (into ChatGPT and Gemini) it found it was down to band switching (2.4GHz and 5GHz) through some really old error code.

This fixed a problem that had plagued me for >12 months. Really magical feeling it got in on first try.

Grass always looks greener on the other side, mainly because it's been fertilised.

unless you dreamt how to debug that problem no-one else can solve

I think there's some goldilocks speed limit for using these tools relative to your skillset. When you're building, you forget that you're also learning - which is why I actually favour some AI code editors that aren't as powerful because it gets me to stop and think.

I think this is the wrong way to think about it. In this case the "intelligent people who are wasted on finance and ads" are drawn to high-status, low-risk, well-paid jobs, with interesting problems to solve.

If you want to solve meaningful problems you need a different kind of intelligence; you need to be open to risk, have a lot of naivety, not status orientated, and a rare ability to see the forest among the trees (i.e. an interesting problem isn't necessarily a important one).

I think it has it's own "metal" services they're migrating customers to. Afaik they used GCP for "legacy" cloud services.

That's the rendering speed.

Makes you wonder what the TTL caching for our universe is.

What's the difference between optimisation and intelligence?

Great ad for Grayscale on your phone and chrome extensions that get rid of shorts

"I see you have changed your weights Mr Bond."

I'm becoming more convinced that this kind of rhetoric is usually peddled by individuals who haven't actually built anything notable (granted, that's most of us).

If all you're doing is using AI to build products, by definition, you're gravitating to the mean.

The AI doesn't care about a delightful product, it cares about satisfying its objective function and the deeper you go the more the two will diverge simply because building a good product is really complex and there are many many paths in the decision maze.

I think first step of having good taste is admitting that you probably have bad taste

This reminds me of the Belgium 2003 election that was impossibly skewered by a supernova light years away sending charged particles which manage to get through our atmosphere (allegedly) and flipping a bit. Not the only case it's happened.

I wonder if not just checking the site every day (or minute ) would solve for this.

It's not necessarily the structure of the source data (the DOM, the HTML etc.) but rather the translator that needs to be contractually consistent. The translator in this case is the service for the endpoints.

I thought this too, but I imagine it's a bit of pathetic fallacy for the reader's benefit else it would be (ironically) quite a boring read for us from the machine's perspective.

How do you know it's incompatible with the actual universe instead of our current understanding of the universe?

Take us for example, we're communicating instantly (for practical purposes) using thinking machines - how would that not seem like magic to someone thousands of years ago?

My point is, we don't know what the tribe have behind the bush. It's the equivalent of the Mayans wondering what's over that hill and then finding the Spanish with gunpowder, horses, and steel armour.

Isn't that the point of the dark forest theory? It's not the fact that there is a dangerous tribe behind a bush it's more that you don't know if they're dangerous or not so you have to err on the side of caution - because you don't know if they're doing the same.

It's the whole chain of suspicion theory that it's safer to shoot first and then ask questions later because the speed you can communicate is the same speed you can mount an attack.

Don't worry if you're over 30/40/50 - Évariste Galois is judging anyone over the age of 18.

I think I know what you mean, in an ideal world - we wouldn't have bugs. You'd build a feature and it would work forever but that's rarely the case.

I think of it as "offensive" and "defensive" building, ideally you want to be on the offensive (i.e. building stuff that wasn't there yesterday) but you have to balance it with good defence (i.e. adding a certain type of anti-fragility to your system by fixing bugs due to your features being exposed to the real world).

Saying this, I've never met a good engineer who wasn't very good at troubleshooting so perhaps it's more of a consequence of building than a skillset.

This is a great read and exactly where I think the global economy is going - instead of large companies you'll have millions of medium sized businesses run by small teams still making a bit of a dent in their own niche universe.

I do disagree with the work-life balance part, I struggle to see how you can build something (and maintain it at such a high level) without intense focus and commitment.

plutocrat is newly discovered word of the day.

This probably means they are completely unable to differentiate between AI and non-AI else they would just discard the AI piles of applications.

What about changing the hyper-parameters and killing all the poor?

Aren't they just finding a good reason to save 400K/year * how many they fire.

I think this is right, it's a gamble. Discoveries and advancements are made by people tinkering with things without the mind to commercialise it.