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Posted by ykev 18 hours ago

Setting up your spare Mac for Claude Code to control, a step-by-step guide(ykdojo.github.io)
195 points | 137 commentspage 3
deadbabe 17 hours ago|
I still don't understand what these freaks are doing running these agents 24/7 on machines. What are they doing? Managing a todo list? You mean crossing items off as you complete them? Research tasks? To do what?

Never really get good answers. There is no killer app. Just bikeshedding.

artisinal 17 hours ago||
Swiping Tinder. It takes about 5000 matches to get a date. It’s easier to just automate it. It automatically adds dates to my calendar, all I have to do is show up. I get a summary of our chat history (well, what the agent wrote to her) in the notes section of the calendar entry and some pointers and talking points for the date.

Maybe I should have the agent also do a background check.

PS: This is a joke, but feel free to steal this idea.

kurthr 16 hours ago||||
Any sufficiently advanced satire...
deadbabe 15 hours ago||
Good news about hell: it doesn't exist. Bad news: Humans can pretty much create whatever they can imagine.
20k 15 hours ago||||
The future is agents chatting to each other on tinder and automating the initial getting to know you part. I can imagine that while that's going on, we could add like a little text chat box for the humans to chit chat with each other a bit and pass the time, before they can go on a date
rootsudo 16 hours ago||||
It works well enough for bumble web, just make sure you have rate limiting..

Then the openclaw WhatsApp module…

Kidding of course.

mystifyingpoi 16 hours ago|||
Crap, I totally believed this. We live in a dystopia already.
artisinal 15 hours ago||
Someone apparently made this

https://github.com/Grigorij-Dudnik/TinderGPT

> TinderGPT automates the process of writing and arranging dates with girls on Tinder, enabling you to generate romantic meetings with almost zero effort. Your only role is to like the profiles that catch your eye. After that, TinderGPT comes into the play. It initiates a conversation with the girl, using details from her profile, continues by building an emotional bond and highlighting your attractive traits, and finishes by arranging a meeting and giving you a push-up on your phone with her number.

lionkor 15 hours ago||
This is a sure way to get girls! Girls love being entirely commoditized and objectified, famously that's a great way to date! /s
artisinal 15 hours ago||
I’m surprised that the author didn’t even refer to them as females.
kdheiwns 17 hours ago|||
It seems the main use case is having Claude automatically write blogposts about how great using Claude is, then submit them wherever necessary.

There's lots of news about the billions AI companies spend on data center construction, but it feels like it's not even a fraction of the money they're spending on endless nonstop blogs about how great their app is at doing... things. Things that will never be defined.

deadbabe 15 hours ago||
It really feels to me like this OpenClaw type stuff is the new "I built a static site generator!" type blogs that just post a few articles about how they built their generator.
leokennis 17 hours ago|||
Exact same question as you. When the new ChatGPT app dropped it suggested to me to set up a task something like (paraphrased) “every Monday read my Gmail and Slack an make a summary and task list for the week”.

Why would I need an LLM to do this for me? That’s 5 minutes of work max, and doing it gets me in the flow of work again, to see what’s going on and needs to be done.

phil21 16 hours ago|||
For a lot of folks summarizing a few days of work email and especially slack chats is way more than 5 minutes. Some work environments do not have great communication hygiene so it can be overwhelming to try to keep up with 500 emails a day and 38 Slack channels.

For the folks I talk to who use a LLM for this that seems to be the case. Takes a huge cognitive load off every morning and saves them an hour or two.

More or less a very expensive band aid over a bad work environment.

I kinda use it the same way in a sense. I have a little skill I run against our (horrible) task management system to summarize things and give me a punchlist to work through sorted by priority. This saves me thousands of clicks to do the same thing in the horrible web UI. A proper system in the first place would be a lot better!

At some point I’ll probably just take that to the next logical step and have the LLM write my own web interface to abstract and replace the horrible one entirely for me.

croes 16 hours ago||
And how can they be sure the summary correct and doesn’t miss anything important?
lionkor 15 hours ago||
This is very much just laundering not giving a shit through an LLM so you can blame it after the fact.
moron4hire 16 hours ago|||
Because then OpenAI can read your emails and project communications and eventually build a model they will sell as an automated consultant. The CEOs will uncritically eat it up just long enough to cut the footing out from the industry. Once everyone is used to the sorry state of software, nobody will be able to imagine putting people to the task anymore and we'll have the new world order that Altman and Theil have been talking about creating.
greggsy 17 hours ago|||
I set it up out of curiosity a few months ago and realised I had no requirement for it whatsoever.

I’m actually very time-poor, so figured it could help be clawed back time doing… what exactly?

vessenes 14 hours ago|||
Let me guess -- in your day job you don't manage people. I have agents parsing messages, building out document sets, evaluating existing document sets, one is currently fixing a giant backlog of bugs and feature requests for a multi year personal coding project, one is exploring some ideas on speeding up inference at the edge..

If you put yourself in a position where you need more leverage (technical or operating) I think you might find you get some value.

deadbabe 6 hours ago||
Given all the automation you do, it sounds like you don't really manage people either.
fooster 17 hours ago|||
I think you need to open your mind to the possibilities? For example:

- scanning logs for errors and

- opening issues which are then auto-triaged and

- PRs are opened for them and auto-reviewed and

- merged (and deployed).

This workflow alone is immensely powerful, and takes alot of burden off the team.

closeparen 13 hours ago|||
A company at the scale to benefit from this almost certainly has some kind of development sandbox environment and/or periodic job runner that's integrated into its environment and maintained by a team, not random Mac Minis.
airstrike 17 hours ago||||
> This workflow alone is immensely powerful, and takes alot of burden off the team.

ITSM those unsupervised workflows are essentially an attempt at purported productivity in the near term at the expense of meaningful incremental long term burden for teams.

The only ostensible benefit is in the eyes of the AI-psychotic tinkerer, who knows no better, or in those of the clout-chasing developer farming likes on their LinkedIn posts.

fooster 14 hours ago||
Really they're not. But it seems you have decided that you, above all, know best.
airstrike 12 hours ago||
I started my post with "it seems to me" precisely because I haven't decided that I know best.
lionkor 15 hours ago||||
None of these are things I want or need in the product I maintain with a team, there's really no point to any of this unless you run a vibe coded SaaS (?)
fooster 14 hours ago||
You want your team spending their time fixing these simple errors? The secret sauce is in the triage. We've adopted solutions alot like this, and now our team spends its time on much more meaningful work.
dingaling 13 hours ago|||
Why are the errors occurring, though? That's what boring analyse-and-fix addresses, through familiarity, recognition of patterns and "hang onnn..." moments.

It's like your AI agent is just plugging the leaks in the dyke each time, instead of fixing the architecture of the dam.

fooster 10 hours ago||
There are many sources of boring predictable errors which nonetheless are easy to miss and easy to fix. API validation errors for example.
lionkor 10 hours ago|||
Yes, I want my team to be deeply familiar with the codebase and every single little bug that needs fixing both trains them and let's them learn a little bit more about the codebase.

They can use agents. Like, team members don't need to be replaced, they can simply use agents when they deem it useful. If they see a trivial bug,they can put their agent on it and go work on something else meanwhile.

mystifyingpoi 17 hours ago||||
None of this requires running it 24/7.
troupo 12 hours ago|||
> scanning logs for errors

famously a good job for a tool that takes 10-50k logs to run out of context and forget what it's doing.

fooster 10 hours ago||
Not really? Imagine for example looking for http status code 500 in an api log over the past hour. The nice thing here is it doesn’t matter if you get them all because it’s reoccur (or not).
fatata123 7 hours ago||
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theptip 16 hours ago|||
If you can’t think up enough coding projects to keep an agent busy in the background that’s a skill issue on your side.
lionkor 15 hours ago||
I am aware this is likely sarcasm, but in case it isn't, what do you gain from doing side projects this way?
theptip 15 hours ago||
No sarcasm, I am completely serious.

I don’t have time for much leisure coding these days. I do have time to kick off a few tasks in the morning to progress my many side projects. Nothing public / oss, just code that I find useful/interesting like home automation, content pipelines, games, etc.

There are a bunch of cases where remote control from iOS onto a Mac Mini is simply nicer than using iOS Claude Code sandboxes.

It’s the same pattern as you (hopefully) apply at $dayjob. If you are not defining a /goal and letting your agent crank you are not making full use of the models’ capabilities.

lionkor 15 hours ago|||
Well I am fully of the opinion that LLMs can help in software programming, it's not something that I feel provides any value unless it has a human in the loop. The overhead of having to figure out if the agent did a good job, if the agent is actually done or not, and if the thing it built is shit or not, is worth simply avoiding by having a human in the loop.

So I wouldn't agree that the agent should be cranking out code all the time, in fact that seems more like a waste of resources compared to the work it creates. But I do understand home automation software can be very one-off and simple. But then again, a properly programmed home automation suite doesn't need a SOTA model to modify it, I think.

troupo 12 hours ago|||
On all projects I've run any of the models they:

- infinitely duplicate any and all code, helpers and components

- infinitely duplicate CSS (because they duplicate components)

- continuously write code like "read the entire db into memory and run a filter function on retrieved data"

- continuously write code like "call db with multiple queries for each element in a list"

- etc. etc.

Why the hell would I ever want to run them unsupervised?

horizonwingtech 10 hours ago||
[flagged]
ronbenton 17 hours ago||
Have it work down my jira tickets while I’m sitting on the porcelain throne
threethirtytwo 16 hours ago||
What's a good way to give a limited amount of money to the LLM, say like 2k or 5k or something. But keep it completely separate from my identity.

Like I want the LLM to have a bank account and he can do ANYTHING with that bank account that he wants. But he can't fuck anything up that has to so with me. He only has 2 - 5k

trollbridge 6 hours ago||
Form an LLC, open bank account for the LLC, and use that.
chasd00 16 hours ago|||
Idk how you could at least in the US. Closest thing off the top of my head would be one of those checking accounts you can setup for kids. It would still be tied to you.
mmh0000 15 hours ago||
If you want Anthropic (or others) but anonymously, what you do is use https://openrouter.ai/pricing and fund your account from any of your preferred cryptos.
vessenes 13 hours ago||
Solana/Ethereum
mohammad0omar 14 hours ago||
[flagged]
theturtle 17 hours ago|
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