whats wild is there are people who look very fat - who have lots of subcutaneous fat, who don't have visceral fat. The excessive subcutaneous fat can be hard on your joints but doesn't seem to correlate to other health issues.

strangely addictive

They've already done this through the 6m Anthropic API "unlimited plan" grants. Claude-only is getting embedded.

i think its more efficient for models to write queries than read large(ish) documents. at some point you have to have a tradeoff - smaller docs, but the model has to find them (thats a query) or larger docs, and the model has to read them.

My take is AI native apps that have longevity will prioritize token-efficiency - and I believe queries do that.

Does it record the audio as well? Asking for my lawyer.

No, only transcript and it provide you good summary. In addition you can "chat" with it all like in ChatGPT.

But I'll write down to myself that it might be useful and we'll try to add such a feature in the future. of course, the audio will be stored exclusively on your device (imho, privacy is still very important).

I assume it was too expensive, because it's really not a bad tool. I used it recently to make my twitter pfp :)

Theres tons of ai apps. They're all general use chatbots or coding agents. Manus, Cursor, ChatGPT. Almost every app that has a robust search uses a reranker llm. AI is everywhere.

As far as totally new products - I built one (Habit.am - wordless journaling for mental health) and new products require new habits, people trying new things, its not that easy to change people's behavior. It would be much easier for me to sell my little app if it was a literal plain old journal.

Even if it runs, this will run slowly, and heat up.

I think local will always have a place, but the infrastructure is going to be used in my humble opinion.

Today yes, but between the improved performance of smaller on device models and the hardware itself getting better this issue is short lived.

I don't want to put information into a black box of mystery that can then be used for other monetization purposes. I am still waiting for a realistic local solution.

Have you tried qwen3.5 running locally? It’s quite “good enough”.

Compute evolved from batch systems with time sharing to responsive systems in your pocket. Why wouldn’t that happen here?

there was a time when mainframes was the main thing.. we’ll look back and say data centers was a thing.. (hopefully if we lucky)

is it just me or could every set of claude skills just be a blog? I don't install skills without reading them first anyway.

I ran into it while building - I should have tested different temps too - I was just trying to get cli style tool calls to be more reliable

yeah temperature is probably worth a run, we noticed even small adjustments changed how the model interpreted formatting expectations quite a bit.