matt3D

No particularly. We are toying with the idea of taking the engine of the flagship product, arguably where a lot of the value is, and rebuilding a more flexible front-end onto it.

I find it a bit odd that none of the comments so far have mentioned LLMs.

Astro with a good understanding of how to build using a coding agent (my go to is the BMAD method)

Your metric for “getting it to work” is wrong. Developing software is a means to an end, not a goal in and of itself.

The simplest metric you should be tracking is; has it generated income.

In this sense my use of agentic coding has performed very well. People asking for evidence and repos are a little naive to how capitalism works in the real world. If I’m making money on something I’m not going to let you copy it, and I’m sure as hell not going to devalue it by publicising that it was built by AI.

Pretty much every company I work with uses the desktop sync tools for OneDrive/GoogleDrive/Dropbox etc.

It would be madness to work completely offline these days, and all of these systems have version history and document recovery built in.

These strawman arguments lack nuance.

If the person can use AI to lead a noticeably better life, something that may have been impossible previously due to economic circumstance, then the first order benefits outweigh the second order drawbacks.

I’m not disputing what you’re saying, I just think that treating it like a zero sum game every time the conversation comes up is showing an immense amount of privilege.

You, me, the parent commenter; we’re all dying, we don’t have time to optimise for the best outcome.

I have a slightly similar frustration; Netflix, Disney et al requiring me to figure out the name of the film by deciphering the poster. I don’t know how this passes any kind of accessibility testing.

> Author: please write an article about this topic with examples of content you've created, discussions about dead ends and things that didn't work, and technical details about your setup.

I think the article itself serves as enough evidence to prove you should ignore their advice.

Is there a term for what I had previously understood Effective Altruism to be, since I don’t want to reference EA in a conversation and have the other person think I’m associated with these sorts of people.

I had assumed it was just simple mathematics and the belief that cash is the easiest way to transfer charitable effort. If I can readily earn 50USD/hour, rather than doing a volunteering job that I could pay 25USD/hour to do, I simply do my job and pay for 2 people to volunteer.

I think the argument can be made that Deepseek is a state sponsored needle looking to pop another states bubble.

If Deepseek is free it undermines the value of LLMs, so the value of these US companies is mainly speculation/FOMO over AGI.

This is a more extreme example of the general hacker news group think about AI.

Geohot is easily a 99.999 percentile developer, and yet he can’t seem to reconcile that the other 99.999 percent are doing something much more basic than he can ever comprehend.

It’s some kind of expert paradox, if everyone was as smart and capable as the experts, then they wouldn’t be experts.

I have come across many developers that behave like the AI. Can’t explain codebases they’ve built, can’t maintain consistency.

It’s like a aerospace engineer not believing that the person that designs the toys in an Kinder egg doesn’t know how fluid sims work.

Watching my children learn how to talk, I have come to the conclusion that the current LLM concept is one part of a two part problem.

Kids learn to speak before they learn to think about what they're saying. A 2/3 year old can start regurgitating sentences and forming new ones which sound an awful lot like real speech, but it seems like it's often just the child trying to fit in, they don't really understand what they're saying.

I used to joke my kids talking was sometimes just like typing a word on my phone and then just hitting the next predictive word that shows up. Since then it's evolved in a way that seems similar to LLMs.

The actually process of thought seems slightly divorced from the ability to pattern match words, but the patter matching serves as a way to communicate it. I think we need a thinking machine to spit out vectors that the LLM can convert into language. So I don't think they are a dead end, I think they are just missing the other half of the puzzle.