The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 11 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Chen: GPT-5 Pro automates tasks that take physics students months
“And you know, we see physicists, mathematicians kind of repeating this experience over and over where they're trying GPT-Five Pro and saying, wow, this is something that the, you know, previous version of the models couldn't do. And it is a little bit of a lig…”
Chen: The future of scientific discovery will be 'vibe researching'
“I do think, you know, the future hopefully will be vibe researching.”
Chen: The future of AI will center on reasoning and agents
“So we think the future is about reasoning, more and more about reasoning, more and more about agents.”
Chen: Competitive coding and math benchmarks predict future research success
“I mean, I think it is important to note that these evals like you know, IOI, AtCoder, IMO are actually real world markers for success in future research.”
Chen: Reasoning provides essential robustness for long-horizon AI agents
“Reasoning is core to this ability to operate over a long horizon, because, you know, you imagine kind of yourself solving a math problem, where you try an approach, it doesn't work, and, you know, you have to think about, you know, what, what's the next approa…”
Chen: Earlier Codex models spent too little time on hard problems
“What we found is the latest, the previous generation of the codex models, they were spending too little time solving the hardest problems and too much time solving the easy, easy problems. And I think that, that is actually just probably out of the box what yo…”
Chen: Direct reports at OpenAI are unaffected by tech talent wars
“Like when I look at my direct reports they haven't been affected by the talent wars.”
Chen: OpenAI historically prioritized algorithmic advances over product research
“I think historically we've put a little bit more on just the core algorithmic advances versus kind of the product research.”
Chen: AI labs risk second-place outcomes without strict strategic prioritization
“I think the danger is you end up like second place at everything and, you know, not like, you know, clearly leading at anything. So I think prioritization is important, right? And you need to make sure there's some things you're clear eyed on. This is the thin…”
Chen: No research leader at OpenAI feels they have enough compute
“There's no one who's like, ah, you know, I have all the compute that I need.”
Chen: Jakub Pachocki should be ranked as the top AI researcher
“I think, you know any of these rank lists, like he should be number one. Like just his ability to, you know, take any very difficult technical challenge and almost like personally just kind of think about it for two weeks and just crush it.”