Comment by deadbabe
16 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.
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.
Any sufficiently advanced satire...
Good news about hell: it doesn't exist. Bad news: Humans can pretty much create whatever they can imagine.
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
It works well enough for bumble web, just make sure you have rate limiting..
Then the openclaw WhatsApp module…
Kidding of course.
Crap, I totally believed this. We live in a dystopia already.
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.
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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.
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.
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.
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.
And how can they be sure the summary correct and doesn’t miss anything important?
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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.
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?
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.
Given all the automation you do, it sounds like you don't really manage people either.
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.
> 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.
Really they're not. But it seems you have decided that you, above all, know best.
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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.
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 (?)
Your non-vibecoded non-SaaS application never has errors?
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.
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None of this requires running it 24/7.
So someone has to be in the office to press the "observe logs" button every 5 minutes?
> 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.
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).
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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.
I am aware this is likely sarcasm, but in case it isn't, what do you gain from doing side projects this way?
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.
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Have it work down my jira tickets while I’m sitting on the porcelain throne