> The incredible Yitan Zhang (https://newyorker.com/magazine/2015/02/02/pursuit-beauty) worked on proving this conjecture for 7 years. Moh, his advisor, wrote that Zhang "failed miserably" in proving the Jacobian conjecture, "never published any paper on algebraic geometry" after leaving Purdue, and "wasted seven years of his own life and my time".
"I just tested my hand in a mini version of this scanner. Images that are higher quality than MRI, whole body captured in <1 minute, virtually free to run. This is going to change medicine."
"As Alexander predicted in 'AI 2027,' OpenAI did release a major new model in 2025; unlike in his forecast, it’s been a damp squib. Advances seem to be plateauing; the conversation in tech circles is now less about superintelligence and more about the possibility of an AI bubble."
I'm not sure how many AI researchers would find this accurate. It seems to me that under conditions of ambiguity people often default to describing their preferred version of reality.
The comparison isn't really like-for-like. NHTSA SGO AV reports can include very minor, low-speed contact events that would often never show up as police-reported crashes for human drivers, meaning the Tesla crash count may be drawing from a broader category than the human baseline it's being compared to.
There's also a denominator problem. The mileage figure appears to be cumulative miles "as of November," while the crashes are drawn from a specific July-November window in Austin. It's not clear that those miles line up with the same geography and time period.
The sample size is tiny (nine crashes), uncertainty is huge, and the analysis doesn't distinguish between at-fault and not-at-fault incidents, or between preventable and non-preventable ones.
Also, the comparison to Waymo is stated without harmonizing crash definitions and reporting practices.
Meanwhile this new paper claims that GPT-5 surpasses medical professionals in medical reasoning:
"On MedXpertQA MM, GPT-5 improves reasoning and understanding scores by +29.62% and +36.18% over GPT-4o, respectively, and surpasses pre-licensed human experts by +24.23% in reasoning and +29.40% in understanding."
Yes, but the jump in performance from o3 is well beyond marginal while also fitting an exponential trend, which undermines the parent's claim on two counts.
https://x.com/aminkarbasi/status/2079129649830137989
https://en.wikipedia.org/wiki/Yitang_Zhang