At least ^D is a gentle goodbye, if silent

Fridge sound

I’m interested in “is AI+(Human expert)>AI>HE” for that half. Ie in which areas are we relevant as team members and how.

I agree, though not every scarcity is bad. Scarcity of hunger, for example.

The best AI products are just products

That’s what I’m thinking!

Mine is pretty snarky for a snark rating of like 15 🤭

Can I already watch @danabra.mov’s talk from #atmosphereconf anywhere?

I think the hard part is figuring out what to build, not the building itself. It’s hard to know what a good UX is when you’re not deep in the domain.

But I see what you’re saying, if it’s really just a wrapper SaaS with no meaningful uniqueness, it’ll get squeezed.

If you build it I will too 😎

Absolutely, that’s what I’m thinking. It probably needs just a little more fleshing out in the form of a skill or something. Or maybe just giving it this post and a URL would be enough 😂

I really want to make a thing that you can point to a random poorly documented API and figure it out by trial and error. Then write the docs and self-evaluate ability to use the API with docs; repeat.

Needs a good resettable sandbox env but would make APIs much more usable for AIs and humans.

With all these tracking apps on atproto I think the time might be ripe for an aggregator “tracker of trackers”. See what you can learn when combining all that data. And the open data protocol makes it possible.

Love this! I’ll be checking this out and probably migrating my StoryGraph data 🙂‍↕️

I’m using Cloudflare for compute/blob storage for dressme.fashion right now.

Currently using their Containers product with a Python backend but it’s not the best DX so will probably migrate to TypeScript at some point.

Apparently Google is blocking Gemini requests from Claude Code on web. So I guess I either have to switch to Jules, or switch my Gemini requests to Claude. It's pretty clear which has the bigger moat though 😅

Where is this? 😍

Booked tickets for AIE World’s Fair in SF this summer. See you all there 😎

For human-driven tasks, I think so too. Human focus is important. I think a lot of current parallelism is a result of agents taking too long to just sit there and wait, so you start other tasks.

But I also think there is a class of tasks that don't need human oversight and can be heavily prllzd

From the iphone community on Reddit: My hacked iPhone running iPadOS! And running a Mac-like experience on the external monitor! It can multitask + run iPad apps. Apple doesn't allow this as it would ... Explore this post and more from the iphone community

I’ve seen posts of people installing iPadOS on iPhones and it works pretty much as you describe, you just plug it in to a monitor and have a desktop computer

Example:

www.reddit.com/r/iphone/s/G...

I think the model labs are doing this to some degree. Claude definitely tries to maintain a high information density in convos. It leans heavily on terms and comes up with new terms to refer to things. Maybe less from a token efficiency perspective, but useful for readability I think.

I love the mention of subtly conflicting values! Having all the values aligned feels too easy and unlikely to be inspiring.

What is it?

The only failure mode I’ve experienced is having the wrong audio input device selected 😅

I use Apple voice memos on my phone which hasn’t failed me yet! It also has transcription built in which contains some mistakes but LLMs can often infer from context.

On my laptop I use Superwhisper which also saves transcription and raw audio so you can always transcribe it again if needed.

Hahaha, you mean the pink overlays?

Back on that virtual try-on shit ✨

This looks cool! I’ll be there 🌊

Interesting to see that Rust is still harder for LLMs than other languages, and this matters on hard tasks! It’s not automatically the best choice when you need something fast and reliable.

Yes, the performance gains are mostly Vite’s accomplishment. But even if this was a regular refactor (which I’m pretty sure it isn’t), that’s a lot of API to cover.