Eseandre Mordi
⬤ GPT-5.2 just hit 33% accuracy on LiveCodeBench Pro (Hard)—a benchmark experts weren't expecting to see conquered until 2030. The fact that it's already there in late 2025 shows AI isn't just getting faster, it's making genuine leaps in solving seriously complex problems. The graph from the Forecasting Research Institute tells the story pretty clearly: what looked like a distant milestone is now in the rearview mirror.
⬤ The chart shows the gap between prediction and reality. Experts mapped out 33% accuracy for 2030, but GPT-5.2 crossed that line five years early. LiveCodeBench Pro (Hard) accuracy keeps climbing at a pace nobody saw coming, and it's obvious now that large language models are breaking through performance ceilings way faster than the forecasts suggested.
⬤ Not everyone's celebrating though. For critics who've been skeptical about AI and LLMs, this acceleration creates some awkward questions. When the tech moves this fast, the arguments against it start looking shaky. As AI capabilities keep expanding, the debates around regulation, job displacement, and societal impact are only going to get more intense and polarized.
⬤ GPT-5.2 hitting 33% on LiveCodeBench Pro years ahead of schedule proves AI development is accelerating hard. This isn't just a technical win—it's going to reshape how we talk about AI's role in everything from work to regulation to daily life, bringing both serious opportunities and challenges that we'll need to navigate sooner than planned.
Eseandre Mordi
