rukuu001
The way they operate their business is deeply immoral.
They know they sell an addictive product and take full advantage of that.
Perhaps we can think of projects like these the same way we’d think of a good tweet - not valuable in itself but valuable because of the ideas or conversations it generates.
Claude especially, where you might say “how can I do task xyz more quickly” and Claude responds with a little JS app. This creates an expectation that it’s possible to do anything if you ask Claude right.
I have seen this first hand where my partner - a deeply non technical person - came to ask what an API token is and how she can get one for Canva. Claude was busy automating her Canva -> Pinterest workflow.
She now has a half dozen of these things and hunts through her Claude chats to reuse them.
In the manner of someone finding a dead mouse and holding it up for examination CC said it could find no instructions but perhaps it should check this AGENTS.md file.
> My software factory was intentionally set up to let the model decide the how of the workflow entirely. It was free to manage its own context and could maintain its own records in an agent-notes folder.
The experiment becomes a crapshoot. What are we evaluating? The ability of the thing to create it's own factory workflow? Or adding virtual threads to Python?
Astra is clearly both formidable and imperfect. Anyone who understands how to get the best out of it will have a strong advantage.
(For me - my CC is stuck in Sonnet and consumes Trello cards that have passed readiness criteria)
Which means everyone wants one, and governments will want to control access and use of them.
I think we’ll be back at ‘U.S. citizens only’ access to leading models soon.
I didn't understand any of this until I had a relationship with someone that had suicidal thoughts from time to time.
This echoes much of what she described - constant pain is hard, and suicide offers immediate relief.
It's an experience of reality that's very hard to understand for anyone who hasn't been close to it.
@sillysaurusx thank you for sharing your experience so clearly. Best of luck
> we don't really know much about how fish live and their overall population
Absolutely yes. Orange roughy is a good example - it was caught by trawlers when they were massed in huge balls near the surface. Easy to get a big catch quickly. Turns out this was when they were spawning, so breeding cycle was being interrupted, which led to catastrophic declines very quickly.
The 'spec' frameworks are documentation as well, but can become contradictory as decisions about the app change over time.
> He has directed job candidates still working for Apple to bring “Actual parts” from Apple to their interviews for “show and tell” sessions in which he and his team at OpenAI can elicit still more Apple confidential information
And an infinite money-eating bonfire
- Meetup alert for meetups that match specific topics
- A daily journal that transforms entries into chibi-style cartoons
- A cashflow forecast our stupid accounting software can't do on its own
- DIY service monitoring for a ragged collection of docker containers, cron tasks, scripts and various others
Bic pens. Disposable razors. Whipped cream in a can.
Add LLM code to the list.
These tools don’t solve big design problems, but they do resolve all the little design decisions often left up to devs at implementation time.
It's still daunting posting in a second language, and LLMs are an attractive solution to that (depending on your definition of 'solution').
> Some people can really benefit from using LLMs to help them write. E.g. non-native speakers.
What are the plans for monetization?