Try developing on the Apple Watch. I think I have spent more time dealing with connection issues than writing actual code...

I would love a 1k version of this (not sure if this is possible)

I don't see how this is due to ETFs

Care to explain?

> Web Developer. SEO Expert. AI Engineer.

Their credentials are impeccable.

Futures are far bigger than ETFs, Mutual Funds also far bigger than ETFs, add the OTC / options / total return swaps etc and ETFs are a tiny fraction of the index investing market.

Ok, rather than a personal attack. Do you mind explaining why this is not the case? finance is not my forte.

Blanket demand results in blanket pricing.

Demand increases prices for things, even if their intrinsic / fundamental value isn’t superior to other things in the (ETF) basket.

It’s arguably a market mispricing.

In a similar way, I tend to avoid em dashes now when I write, even though I used to use them a lot.

Just use normal dashes. AI's very notably always use the emdash—a double long dash with no spaces around it - but humans tend to use a single dash with spaces on either side.

The AI emdash is notably AI because most people don't even know how to produce the double long dash on their keyboard, and therefore default to the single dash with spaces method, which keeps their writing as quite visibly human.

My keyboard turns double dashes into em dashes.

Don’t let AI dumb you down.

I think the productivity gains greatly depend on the coding task at hand. You could reasonably design a study that shows AI gains and slowdown depending on the task

I agree with this. But also, part of what made the original study interesting is the DISCREPANCY between perceived vs actual productivity, as opposed to which method "won."

It implies that even if some tasks are better with AI that it might not be so simple for us to judge which method is better for which task.

Yeah this was my first thought as well... maybe there is skill and method in vibe building

...the latter

To me it seems like LLMs are basically memory for humans as a whole. By interfacing with them, you can extract the knowledge, eliminating the need to remember things.

And become the perfect puppet for the ruling class! 1984's got nothing on us.

This has been the case for a while with search engines. I'm convinced our brains have evolved (atrophied?) to avoid having to remember things that you can simply look up on your phone in a matter of seconds.

It is way better now though...

People pointing out NLP are missing the point — pulling and crafting rules to run effective NLP is time consuming and technical. With an LLM you can just ask it exactly what you want and it interprets. That's the value; and as this deal just proved it's worth the scaling costs.

The point that is missed isn't about LLMs adequacy as a NLP technique, it's that they cost you 10000 times more for the same effect (after the upfront set-up), which is why I have my doubts that they will be used at scale, at the center of some large data ingestion pipeline. The benefit will probably be for the out of ordinary tasks and outliers.