jumploops

I’m always surprised how bad YouTube’s recommendation algorithm seems to be.

Maybe it’s because I don’t watch enough videos, but it’s sort of like Amazon, in that it will suggest the exact same content/topic.

I rarely use TikTok, only to view links people send me (similar to YouTube), but the recommended content is miles ahead, making it much more difficult to close compared to YT.

I’ve been thinking about how we’re still in the early days of agents, similar to the early days of the internet, happily opening up our machines and running new protocols.

Soon (now?) the threats will become ever more complex, and we’ll be back in the early-2000s-like virus storms.

This feels like a much more achievable vision of the future (until we all have PCB contact lenses).

The main problem with "personal AI"... is that it's, by definition, for one user.

In the physical world, the environment should be smart, not just our view of it.

This is definitely one of the cooler things I've seen on HN. Nice work!

Have you checked every page of every volume of TAOCP?

“And that was how CS became a real engineering degree”

The Chinese labs have shown that distillation is incredibly effective, but the major US frontier labs haven’t (yet) been incentivized to shrink their models in the same way.

This model might be the first step in that direction, as competition heats up between OpenAI and Anthropic.

That seems likely, in the API GPT-6.1 Sol requires reasoning, just like Astra, whereas GPT-6 Sol (and Luna) allow "none"

As bad as the AWS console UX is, at least it’s mostly additive/unchanging over time.

I frequently hit strange UI bugs with Cloudflare workers, where I need to do a hard refresh to make things right.

In the end, the only job left was liability.