... and /compact triggers

Error: Error during compaction: API Error: Claude Code is unable to respond to this request, which appears to violate our Usage Policy (https://www.anthropic.com/legal/aup).

Guys please be serious

Here's a song it wrote for me (suno arranged). Not sure if it's AI psychosis but scary good IMO.

https://suno.com/s/98uSGabHN42G3YHc

yeah man this sucks. i genuinely do not know how people find this stuff appealing

AI psychosis

Within the first second it's recognizable as a Suno song. And not even the best example from Suno. (They rhyme structure and rhythm is weird)

yeah I took a look at this and others and tried to pull together some helpful 'flavor maps':

https://transcendent-choux-d1b930.netlify.app/

Have you also come across this? ‘Flavor network and the principles of food pairing’

https://arxiv.org/pdf/1111.6074

I haven't but looks cool!

do you have a key for the color meanings?

Commoditize your complement - I expect to see this most in consumer AI (after that starts actually working...)

It will be important for Apple to have good enough, cheap local LLM models that run on-device.

If the barrier to performance shifts from fundamental model capability to context collection and management I would expect to see folks focused on that problem continuing to drive open-weight LLM model development in some shape or form.

My take is that B2C AI applications are kind of structurally limited by how hard it is to build personalized context.

The idea of capable local models could be a huge unlock here if they are able to do the bottom-up context collection research / tagging / etc. at scale.

I made a B2C AI app that's fully local (and free) to do AI based contextual file renaming.

So if you give it a bunch of screenshots it will try and intelligently name them based upon what is in the screenshot. Same for videos, PDFs, etc.

But to your point I haven't even tried charging money as it feels like something Apple is just going to bake in as a feature.

https://finalfinalreallyfinaluntitleddocumentv3.com/

This is cool. And yeah love the name!

Are you planning to open source it? Or maintain it in the future?

My plan was to just see if anyone wanted to actually use it first. That if I couldn't give it away I'd not invest the time in selling or open sourcing it.

I'd sort of designed it for my own needs first and hadn't thought too far beyond that.

absolutely love the domain here. great taste

Definitely agree with this. Here, me and Claude brainstorming together did that Research, and some trial-and-error to get to this.

But I can tell it's only a matter of time before agents become smart enough to let my non-tech friends be able to just say "Make sense of all these videos in my folder" and it just does it.

Is it really local models that unlock this? Surely stateless model APIs would yield the same benefits? I get that local can be “cheaper” depending on usage, but we’ve been renting storage and compute from clouds at a premium for ages..

A huge thing here was the massive amount of data that was just processed - I went through about 1TB of files over 24 hours.

Using API to analyze even a subset of this would've been painful imo.

I thought about that in this video case and it's true. I thought the parent comment was making a broader statement about local models in general. But even with video, if it was stored in private cloud storage near the LLM could this still have worked efficiently? What are the most painful elements of this whole setup / work environment if everything was cloud?

Oh yes, if everything is cloud, then this is a non-issue.

The few other points of consideration would be:

1) Cost - I was considering using Sonnet for this but there's always the concern of reaching limits OR the API cost if you're using the API.

The feeling of knowing you have a capable model in your hands without any limits is actually pretty awesome. Your mind starts running at what else can I throw at it to do grunt work.

2) Privacy issues - same as with moving to cloud.

3) Reliability issues - I know from experience Claude uptime has been pretty bad the past few months

4) Restrictions - Claude has been pretty heavy handed with their restrictions lately, anything which remotely triggers there flags gets an instant denial (or worse, an account ban). Often these are false-positives.

I love the value I get from Claude but there's a different kind of freedom you get with local, capable models.

How does this deal with stop hooks? Can it run https://github.com/anthropics/claude-code/blob/main/plugins/...

I think the research / plan / execute idea is good but feels like you would be outsourcing your thinking. Gotta review the plan and spend your own thinking tokens!

Yeah I vibe coded a simple app that takes an org-mode file, renders it as a kanban board, and lets me spin up agents for each task with the prompt in the body in a named tmux session. The frontend gets updated via Claude code hooks when an agent is idle.

I think the key is to combine human and agent task tracking in one pane of glass.

Ai;dr

I have been doing the same but with happy. It works quite well for quick brainstorms etc. but for deeper work on a real research / plan / implement thing I think you need to actually engage with the output which is hard to do on mobile. Maybe if I had a better UI than terminus to read and check the remote files I would be able to get more done.

I am also hoping / trying to put Claude code on top of a personal zettlekasten to automate more of my “personal life” tasks and get more stuff done for me. Haven’t gotten it really singing yet but I think that could also be really cool.