It's not clear from the title, but this is actually very interesting for HN.

Why? It's AI. They're using AI tools to fake engagement.

So how much of twitter is not just bots (old-school style) but 'managed bots' where a human oversees replies? It's all still fake, false, fluff.

Could a vortex mixer work for cooking-style mixes? I'm thinking everything from powders (throw in all your flour and spices, mix) through to larger grains (breadcrumbs, seeds), through to thick fluids (dense soup with starch or potato) through to something as heavy as dough. Could it plausibly work? What sort of substances are mixed in a lab?

This is neat. I did see one bug early in the conversation: "The submission shows an escaped/unfinished string: find . -name \." which looks like an error converting what the user chose back to an escaped string for the AI.

For feedback:

* Please change the colours. I can't read white text on light purple. By all means keep purple, just increase the contrast.

* Maybe keep it in a narrower column, again for readability especially since we're constantly switching sides left to right as we read the AI text and the 'You submitted' text. I also feel it's quite duplicated, I can visually see which option was chosen yet it's restated in 'You submitted'. Only show what's necessary.

* In the replay you shared I can still change active radio buttons. Make it static.

To more focused feedback:

* I really like the idea. Instead of an AI telling you the answer, you learn -- this is fantastic.

* Multiple choice questions are great, but eventually please move to freeform. An AI can evaluate that. (For example, after learning a bit via examples, it might prompt, 'How do you find all PDFs in your home folder?' and give a text entry field. In the past, you'd have to type exactly the string the app expected; with an AI, it can evaluate flexibly. So take advantage of this. It's an immense opportunity vs earlier learning platforms.) Also, people learn better at some point when you're not given answers (aka multiple choice) but need to write.

I think you're on to something. AI as thinking replacement is a worry. AI as a guided teacher is great. I look forward to what you do with it.

My daily driver is a M2 Mac, and we added the same set of optimisations to ARM on Mac as we did to ARM Windows (at the same time as Intel Windows we measured emulation of in this blog.) More info: https://blogs.remobjects.com/2026/01/26/fast-math-in-six-lan...

We did not try to especially optimise Intel Mac, but it's very tempting to do so in order to look at it as you ask.

I wish Rosetta was open sourced too. Same with Prism. I think any and all translation tech could only benefit everyone.