xxbondsxx

Glad it can be helpful!

You can't compare an API that is profitable (search) to an API that is likely a loss-leader to grab market share (hosted LLM cloud models).

Sure there might not be any analysis that proves that they subsidized, but you also don't have any evidence that they are profitable. All the data points we have today show that companies are spending an insane amount of capex on gaining AI dominance without the revenue to achieve profitability yet.

You're also comparing two products in very different spots in the maturity lifecycle. There's no way to justify losing money on a decade-old product that's likely declining in overall usage -- ask any MBA (as much as engineers don't like business perspectives).

(Also you can reasonably serve search queries off of CPUs with high rates of caching between queries. LLM inference essentially requires GPUs and is much harder to cache between users since any one token could make a huge difference in the output)

I hope you'll be OK!

Thanks for saying the quiet part out loud here -- everyone wants to believe in education improvement but there's a harsh reality of the industry that is pretty unpleasant to confront.

I think the only hope would be to run a pilot and show such an improvement in student testing levels that it would be fast-tracked or mandated for approval.

Surprisingly large number of people at the beach for San Francisco (which is usually pretty cold).

These digital remasters give me a bit of an odd feeling though -- the technology to film at 60fps didn't even exist during this time, so seeing such high-resolution footage feels anachronistic.

This is the best explanation for both async/await and hooks that I've ever heard, thank you!

It also shows that although there might be some learning investment required to use the more modern version of both, it's well worth the effort. I can't imagine going back to callback-riddled javascript

Ever wanted to hear a spicy debate on any topic by some former presidents? Well now you can via the magic of ChatGPT, ElevenLabs, Three.JS, and React Three Fiber!

The founders can answer better, but a lot of traders are not just looking at individual stocks but rather packages of stocks together.

Say you want to invest in the health + tech space, but there's some risk that covid ends and gyms come roaring back. So then you want to minimize the risk by putting some money in the gym industry as well -- getting an entire package of peloton, apple, and 24hourfitness stock is actually worth more to you than the individual stocks on their own.

For those who want a rough programming analogy here -- this sounds like support for multi-row transactions in a SQL database where only single row edits were allowed before.

Now you can describe "buy goods A and B at $10 maximum, commit" and have the transaction either succeed or fail. Before you had to edit those rows individually and there's risk that you end up in a weird partial state, hence having to lower your bid to cover your risk.

Really exciting tech and it'll be great for these costs in market-making to be eliminated!