Today we’re releasing GDPx, a benchmark for measuring agentic capabilities across the most valuable domains.
GDPx is a true frontier-level benchmark: even the best model scores just 12% (1/7)🧵
.@dylan522p explains his position that the first trillion dollars of AI spend won't be used to replace white-collar work:
"Replacing white-collar work is something that will happen, but that's not going to drive the first trillion dollars of AI spend. Those are not industries that are going to diffuse AI capabilities quickly. It's going to take them quite some time to reorder how their OpEx is spent. Because companies have a lot of inertia with regard to people's jobs, changing how their compensation works, how many people work on what, etc."
"There are areas where we think that intelligence is very, very important, though. These include areas like chip design, cybersecurity, financial services, life sciences, materials science, software engineering. You can absorb unlimited intelligence [in these areas]. And there are two reasons for that."
"One is that it's a domain where humans aren't anywhere close to the frontier and there's just so much to discover. Think materials science, chip design, anything in the scientific realm. We figure out new stuff, we deploy it, we make everyone's lives better."
"And there's the other world which is adversarial. Specifically, finance and cybersecurity. It's human vs. human, and we're constantly going to be leveling up, either trying to arb each other like quants do, or trying to hack each other and then play defense. So there's this constant demand for intelligence because when you have more intelligence than the other parties in the market, you win."
Today we’re releasing GDPx, a benchmark for measuring agentic capabilities across the most valuable domains.
GDPx is a true frontier-level benchmark: even the best model scores just 12% (1/7)🧵