The right answer here is to ask a LLM to create a scene similar in quality to those, but completely out of distribution.

I asked GPT 5.6 Sol to give me a pelican playing football on San Siro while smoking a cigarette, in AC Milan's t-shirt. While this sounds like higher complexity of a problem, the generations from current models often include additional details like scene composition, scarf, etc., I don't ask for, so I wanted to see what here is memorization vs. composition skill.

"write svg code of a fish playing football on san siro in ac milan's t shirt, with raybans on and a cigarette."

Try that on GPT 5.6 Sol, Fable, or whatever other model. It's chaos.

They can't.

Try asking it for a plot of Polish GDP growth over the past 20 years. It's slop.

The reason they're based on actively deployed capital isn't that the LPs (people who give VCs money to invest) want them to deploy the money in a stupid way, but they definitely don't want VCs to get the fees if the money wasn't invested. Therefore, VCs:

1. Want to raise as much money as possible 2. Want to deploy as much money as possible

Ideally, as quickly as possible.

There's nothing fraudulent about the idea of calculating VCs fees in various scenarios.

There's however the extremely dodgy part of the portfolio companies paying their investor (VC) fees for anything. This is an obvious conflict of interests, and should never happen, but I personally know of multiple VC funds here in Europe (will skip the names to not get sued, lol) who base their entire operational model on funding shitty companies that have 0 chance of success, charging them for the office space and often "shared services" they provide. Unsure if this is a regulatory overlooking, or something that's deliberately legal, but IMHO shouldn't be. Probably they talked their LPs into agreeing to this on paper.

By the way, good luck with trusting China, Russia, or other places to store wealth more than Europe. It's total ignorance to believe there's somewhere safer to store your money than the West.

This has nothing to do with dollar. Almost all of the confiscated currency was in Europe, and it has to do with invading your bank's ally. No country in the world ever assumed that's risk free, it wasn't being priced back then and isn't now, because nobody except from Russia is stupid enough to do that.

Scientific conensus in math is Occam's Razor, or the principle of parsimony. In algebra, topology, logic and many other domains, this means that rather than having many computational steps (or a "simple mental model") to arrive to an answer, you introduce a concept that captures a class of problems and use that. Very beneficial for dealing with purely mathematical problems, absolute distaster for quick problem solving IMO.

If you want to put this to test, try formulating a React component with autocomplete as a "math problem". Good luck.

(I studied maths, if anyone is questioning where my beliefs come from, that's because I actually used to think in maths while programming for a long time.)

Semantic similarity in embedding space is a convenient accident, not a design constraint. The model's real "understanding" emerges from the full forward pass, not the embedding geometry.

This sounds incorrect, you only process all tokens once, and later incrementally. It's an auto-regressive model after all.

On the reverse, Mbappe has less strenght, and JJ Watt moves like a tank with 27km/h speed. If you compare them to elite strenght sports, they're both weak. If you compare them to sprinters, Mbappe is an amateur sprinter, and JJ Watt is disabled.

Sportsmen specialize in what they do, but NFL simply doesn't require versatility so they are good in fewer categories, and not very good in any. Soccer players are good in multiple categories, and by the virtue of being the more popular and competitive sport and having insanely bigger selection, occassionally very good in one or two (e.g. Bale, Mbappe, and other freaks of nature who are essentially sprinters).

Also, soccer player does not run 1/20th of marathoner runs. Elite wingers run just under _a third of marathon_ each game, of which 3km can be sprint.

For explosiveness, top speeds of NFL and top 5 leagues in Europe are comparable, but more consistent for soccer players. They of course have to run with a ball next to their legs, rather than in hand, which makes it technically harder. For jumping, tall soccer players are closer to NBA players than to NFL (Tomori, Ronaldo, Lewandowski, etc, jump around 80cm).

In terms of agility, NFL and top 5 leagues is similar, about 3 seconds to 30km/h, but of course the best performing players in soccer are better.

So, with some similar parameters, soccer players do what NFL players do, but 3 times as long. That's the difference between "I can do this with a bit of a belly" and "I need to look like a god to even survive this game without getting a heart attack".

Edit: my point above wasn't that it's not physically difficult altogether, it was that these are not _elite_ sports in terms of physical requirement. Swimming, climbing, sprinting, soccer (mainly by the virtue of how professionalized it is), bicycle racing, that's physically super difficult. Basketball is super technical and relatively chill in physical requirements compared to these sports, and NFL is generally challenging but not nearly as much as the "top" sports, unless you specifically cherry-pick comparison to favor heavy, fast people. I chose rather versatile metrics that focus on input, e.g. how much you need to train to become fit enough.