17,117 karma · joined April 4, 2014
Like the LLM getting the solution right?
AI subscription pricing is so goofy. You get some amount of usage that varies by models, is measured by opaque token usage, driven by how many tokens the (usually) vendor-provided interface (or model itself) wants to use. Then your usage is limited by time opaque time windows.
I suspect that despite its translation abilities, this is true, but I'd like to see it do things in languages that are more or less appropriate for tasks to see how much the training corpus matters vs. its ability to translate. Assembly is a bit of an extreme example because you're either writing it as close to C as possible (C is essentially portable assembly) or you're writing complex, unreviewable code that happens to work. And who know if it's been trained on register allocation, or resorts to doing everything on the stack because it works.
Most things with royalties (oil fields, songs) work like this.
These companies got steamrolled by Google because their service wasn't very good. It's all an affiliate marketing play, where they get traffic for keywords through Google organic search (these sides made heavy use of SEO) and Adwords. When you land on the site, everything is an ad, either a merchant product link the merchant pays per click for or less commonly, an affiliate link. Result ranking is tuned between revenue and relevancy.
The problems are it's not really a comparison as much as search results, you're clicking in from a Google SERP to another list of search results, and the results used factors other than relevancy, and the side was designed to encourage click-outs.
These likely degrade in 5-10 years, and have you seen the price of NAND lately? AAA gaming is going to get to be out-of-reach because of storage costs.
This isn't where memory goes or real-world speed comes from. For most applications, it's abstractions like React running in electron that hurt performance. There are also richer resources backing parts of apps--higher resolutions, better quality, higher framerates.
Cherrypicked dates? But I'd like to hear analysis comparing the Nixon shock to the covid shock since one was monetary and one was supply and demand.
> housing
This is actually the hardest to get right because it's the largest, and 2/3 of Americans own homes, so part of their costs are fixed.