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We might actually be talking about the wrong UDFA Safety making the Chiefs roster… DeShon Singleton at 6-3 205 was Dane Bruglers #15 safety over several that were drafted. 93% vert, 95% broad. 7.5 TFL in 2.5 years starting.

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The man who turned $225 million into $13.7 billion said something two years ago that the entire AI industry is still catching up to (Save this). Everyone is talking about AI safety but almost nobody is actually working on it. That is not a hot take, that is Leopold Aschenbrenner doing the math out loud after going inside the actual labs and looking at the actual research happening. "There's barely anybody working on it. You could basically just talk to a couple few dozen people who are actually kind of good on the issue. And that's maybe even overstating it." He ran the numbers directly, and the ratio was staggering even then. Approximately 300 people were working on AI alignment globally against roughly 100,000 ML researchers, a ratio of 300 to 100,000. At the time, OpenAI had 400 employees and exactly seven people on its scalable alignment team, the group responsible for solving the long-term safety problem. DeepMind had thousands of researchers and roughly 20 working on alignment, and as Aschenbrenner pointedly noted, they were not exactly deploying their strongest scientists to the job. Two years later, it has only gotten worse. In February 2026, OpenAI dissolved its Mission Alignment unit entirely, a six-person team that had existed for just 16 months and redistributed the staff into product lines. The Future of Life Institute's AI Safety Index called out OpenAI by name this year, urging the company to rebuild lost safety team capacity. Stanford's 2026 AI Index confirmed that responsible AI is simply not keeping pace with AI capability, with safety benchmarks lagging while incidents rise sharply. The International AI Safety Report 2026, backed by 29 nations and over 100 experts, explicitly warned that capabilities are scaling faster than any mechanism we have to verify they are safe. What makes this clip so important is where Aschenbrenner started from. When he first encountered the AI safety discourse, he assumed the problem was covered, everyone was talking about it, so surely everyone was working on it. Then he actually looked at the research, sat with the systems, and came face to face with what was really there. "I was like, oh my god, this sucks. Nobody's actually doing anything. Like you've got to actually do things, people." The gap between the volume of online discourse and the actual number of people doing hard technical alignment work was not a minor mismatch two years ago and the labs have spent the time since making it larger, not smaller. We need more safety!

Milk Road AI

161,996 Aufrufe • vor 2 Monaten