I'm talking about the headline saying they "won gold" at a competition they didn't, and couldn't, compete in.
We are at that point now with AI, so a more fitting headline analogy would be "In a world first, automobile finishes with gold-winning time in horse race".
Headlines like those were a sign that cars would eventually replace horses in most use-cases, so the fact that we could be in the the same place now with AI and humans is a big deal.
A vetoed 1896 Pennsylvania law would have required drivers who encountered livestock to "disassemble the automobile" and "conceal the various components out of sight, behind nearby bushes until [the] equestrian or livestock is sufficiently pacified". The Locomotive on Highways Act of 1865 required early motorized vehicles to be preceded by a person on foot waving a red flag or carrying a red lantern and blowing a horn.
It might not quite look like that today, but wild-eyed, fear-based regulation as AI use grows is a real possibility. And at least some of it will likely seem just as silly in hindsight.
To celebrate the raising of the speed limit to a daring 12mph, a group of motorists organised a drive from London to Brighton. At the time, driving 54 miles in a single day was seen as an audacious feat and few people imagined that such a great distance could be travelled in such complicated and newfangled contraptions without mechanical incident.
For decades, the car was seen as a plaything for the wealthy that served no practical purpose. The car only became an important mode of transportation after very many false starts and against strong opposition.
https://en.wikipedia.org/wiki/Locomotive_Acts#Locomotives_Ac...
https://en.wikipedia.org/wiki/London_to_Brighton_Veteran_Car...
That would be indeed an interesting race around the time cars were invented. Today that would be silly, since everyone knows what cars are capable of, but back then one can imagine a lot more skepticism.
Just as there is a ton of skepticism today of what LLMs can achieve. A competition like this clearly demonstrates where the tech is, and what is possible.
> there's no clear mapping to say how the LLM's compute should be limited to make a comparison
There is a very clear mapping of course. You give the same wall clock time to the computer you gave to the humans.
Because what it is showing is that the computer can do the same thing a human can under the same conditions. With your analogy here they are showing that there is such a thing as a car and it can travel 100 meters.
Once it is a foregone conclusion that an LLM can solve the ICPC problems and that question has been sufficiently driven home to everyone who cares we can ask further ones. Like “how much faster can it solve the problems compared to the best humans” or “how much energy it consumes while solving them”? It sounds like you went beyond the first question and already asking these follow up questions.
Not enough to say they "won gold". Just say what actually happened! The tweets themselves do, but then we have this clickbait headline here on HN somehow that says they "won gold at ICPC".
That's a very interesting question. When comparing wildly different computing machines, how to make a fair comparison?
At least two criteria comes in mind: the volume and the energy consumption.
Indeed we can safely assume that more volume and more energy leads to more computation power. For example, it is not fair to compare a 10m^3 room filled with computers with 10cm^3 computer. The same goes with the number of kilowhat-hours used.
Thinking further on those two criteria for GPUs and humans, we could also consider the access to energy and volume. First, energy access for machines has dramatically increased since the industrial revolution. Second, volume access for machines has also increased since the beginning of the mass production. In particular, creating one cube meter of new GPUs is faster than giving birth to a new human.
tldr: fair comparison of two machines should take into account their volume and their energy consumption. On the other hand, this might be mitigated by how fast a machine can increase its volume, and what is its bandwidth for energy consumption.
"They really cant run like a human," they say, "a human can traverse a city in complete silence, needing minimal walking room. Left unchecked, the transitions to cars would ruin our city. So lets be prudent when it comes to adopting this technology."
"I'll have none of that. Cars move faster than humans so that means they're better. We should do everything in our power to transition to this obviously superior technology. I mean, a car beat a human at the 100m sprint so bipedal mobility is obviously obsolete," the car maker replied.
Actually that's too generous, because the humans are given a time limit in ICPC, and there's no clear mapping to say how the LLM's compute should be limited to make a comparison.
It IS an interesting result to see how models can do on these tests - and it's also a garbage headline.