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."