> Take away the agent, and Bob is still a first-year student who hasn't started yet. The year happened around him but not inside him. He shipped a product, but he didn't learn a trade.

We're minting an entire generation of people completely dependent on VC funding. What happens if/when the AI companies fail to find a path to profitability and the VC funding dries up?

What will happen is pretty obvious. Those companies will either be classified as too important to fail and get government support or go bankrupt and will be bought for pennies on the dollar. For the customers nothing much will change since tokens are getting cheaper every year and the business is already pretty profitable. Progress will slow down massively till local open weight models catch up to pre-crash SotA and go on from there.

Big improvement I remember when they were spending billions and getting no profit.

Do you think that'll take a generation to happen?

ChatGPT 3.5 came out coming on 4 years ago now. I don't think a human generation (~20-30 years) needs to be the benchmark here, but new juniors in the industry for a handful of years can be said to be a whole "generation". That how I was reading OP.

> And in coding, L.L.M.s take away the drudgery and leave the human, soulful parts to you.

Strong disagree. Coding was the fun part. Reviewing PRs is not.

The 47 Lansdowne bus in Toronto has this problem with at least three locations (on the short section of the route that I take):

1. In the Dundas/College triangle, there are are 2 stops less than 100m apart. 2. At the Queen St turnaround, there are 4 stops all within 150m of each other 3. At Bloor St, there are 2 stops 100m apart

These are all within a single 2km section of the bus's 10km route.

I encountered this on the NYC subway trying to buy 4 metrocards with one credit card. No bueno.

One of my large enterprise clients currently requires all tech staff to complete 18h (yes, eighteen hours!) of "agile training", in addition to speed-running 14 separate mandatory online courses.

This time would be much better spent watching these 9h of lectures.

> They prefer working to non-working.

This sums up many things perfectly. I'll be stealing this.

It sounds like you didn't have a very good coach. My first coach wasn't very helpful, my second was amazing. Keep looking!

Open mic nights at your local bar are a great source of data. Approach people after their performance, compliment them, and ask them if they have a coach they'd be willing recommend.

Got any youtubers you'd recommend?

Bob Smeenk helped me personally a lot. But I guess it depends a lot on your background, experience and goals.

Ed Sheeran used to be bad at singing [0]. So was Jon Bon Jovi.

In-person vocal lessons and consistent practice have dramatically improved my voice from terrible to half-decent.

[0]: https://youtube.com/shorts/I05Ahr0tpAc