cejast

I’d say it’s important to understand how they work but I also rarely find myself reaching for channels. I see more usage of wait groups and mutexes, but even then you can build abstractions around these in a way that can be reused without having to touch them again.

I have my own family dependencies that aren't too keen on the idea of living the village life. Otherwise I'd already be there.

I have to regularly travel to rural villages in Asia and the people that live in these places have only the most basic human desires. They barely know what an LLM is let alone interact with them. They're some of the happiest people I've ever met.

Of course they'll complain about work or money, and they assume that a Western salary buys me freedom. But they get to live through these luxuries on a daily basis. I'd be lucky to enjoy just one of these in any given week.

Welcome to the AGI era - where human intelligence is our only constraint

For what it’s worth, I find comments and articles with assertive predictions like this difficult to take at face value.

I don’t even disagree with the premise, but it shifts the burden of assessing likelihood back onto the reader, so it doesn’t really add much value to me.

That’s my point though? Debugging a 5-minute problem is in the shallow end of the spectrum, the real complexity sits where they lean on their domain experience. Finance and payments software mistakes can absolutely be expensive.

> All my finance and payment domain expertise, all the debugging intuition and distributed system knowledge earned through hours of sweat and tears, is now promptable.

Is it really though? Access to information is quicker, but you still need to know what ‘good’ looks like to leverage it effectively. I can prompt my way to a medical diagnosis, but I’d still want to run it by a doctor.

> More recently, it's "this failed because Claude chose..." No, Claude didn't choose, the person who submitted the PR chose to accept it.

I can relate to this, unfortunately these tools are becoming a very convenient way to offload any kind of responsibility when something goes wrong.

This was my reaction as well, a lot of hand-waving and invented jargon reminiscent of the web3 era - which is a shame, because I'd really like to understand what they've actually done in more detail.

What's even more interesting is that if you turn off watch history, they disable the home feed altogether. They just give up trying to show you anything, which has been great for keeping me off YouTube.

That is a very broad generalization. Even if it was 'put into some fund', that equates to a capital investment which can be used to deliver value elsewhere.

Money is complicated - the only way in which I would see it get truly wasted is if you took it out as cash and burnt it. Even then you'll be (marginally) raising the value of all other money left in the system.

Unless you have a crystal ball there is nothing that can give you certainty that will continue at the same or better rate. I’m not sure why you took the second half of the comment more seriously than the first.

Nobody can tell you whether progress will continue at current, faster or slower rates - humans have a pretty terrible track record at extrapolating current events into the future. It's like how movies in the 80's made predictions about where we'll be in 30 years time. Back to the Future promised me hoverboards in 2015 - I'm still waiting!

I don't think it is an illusion. It can remove a lot of barriers to entry for some people, and this is probably what you're seeing in the anecdata.

For example, my brother. He is what I'd refer to as 'tech-aligned' - he can and has written code before, but does not do it for a living and only ever wrote basic Python scripts every now and then to help with his actual work.

LLM's have enabled him to build out web apps in perhaps 1/5 of the time it would have taken him if he tried to learn and build them out from scratch. I don't think he would have even attempted it without an LLM.

Now it doesn't 'code everything' - he still has to massage the output to get what he wants, and there is still a learning curve to climb. But the spring-board that LLM's can give people, particularly those who don't have much experience in software development, should not be underestimated.

I went through the process of buying a car recently, and the dealer, before we even begun to negotiate on price, was describing how their pricing system has all 'moved to AI'. I was suspicious, and after querying him about it for a while what he described essentially just boiled down to something a spreadsheet could do.

Now I don't dispute that AI has and will continue to automate jobs away like this. But I do think we are in an era where the lines between 'classic' automation and AI automation are blurred for quite a lot of people and without any concrete details I suspect this case leans more towards the former.