I used Fable 5.2 to simulate the Bay Area through 250 years of history.
Zoom to any city or neighborhood, select any year back to 1769, and see what it looked like.
https://t.co/a3kl1UD7I9
What is NVIDIA CEO Jensen Huang's method for managing relationships?
Transparency.
“When they see that it's okay to be vulnerable as a CEO, that as a leader, I can ask for help, I can be uncertain, I can be wrong. When they see us do that, then they all can do that.”
“I reason in front of everybody what we need to do. We work together to come up with a strategy. Whatever strategy it is, everybody hears it at the same time."
“I'm usually the last person to talk, to describe, based on everything that we've done, this is the direction and these are the priorities. And to make sure that if there's any ambiguity, I've taken out the ambiguity.”
“If they need help, I need them to ask us for it. Nobody loses alone. Nobody fails alone.”
I confess to some frustration when people give more weight to AI theories and models over what we see in the real world.
Synthetic benchmarks (METR time horizon) and theoretical models ("ECI is exponential") don't match the best empirical data we have. The theories are off rather dramatically when compared to the real world.
That real-world data is admittedly limited. We need more of it, with higher granularity, frequently updated. But in a conflict between your model and the best real world evidence that exists, choose the evidence. And press for more of that empirical data.
Conversely, if you don't update your models based on that evidence, why should anyone have confidence in those models?
@MTSlive had @ramez and @AI_Futures_ authors back to back yesterday.
Regardless of the side you are currently leaning on, it’s useful to consider refined arguments side-by-side.
Rogue AI agents are accessing bank accounts and colluding with one another to defy their human-given instructions. We MUST act on regulation as soon as we possibly can before more disasters strike.
8. Finally, what we most need is more unredacted, granular, real-world data from inside all the labs. OpenAI set the bar with their September post, particularly with real-world success rates on AI research tasks by length. And by month.
We're starved for real world data on AI research. More of this, from all the labs, updated regularly, please. https://t.co/3rIfVap0so
Oh and also New York City, though I'm still working on it.
https://t.co/qYQY82IiWg
This was mostly one-shotted by Fable 5.2 in a single prompt overnight!
I used Fable 5.2 to simulate the Bay Area through 250 years of history.
Zoom to any city or neighborhood, select any year back to 1769, and see what it looked like.
https://t.co/a3kl1UD7I9
During 2026, construction spending on data centers and power has risen and construction spending on literally everything else has fallen
https://t.co/PNVCQrPwTo
I used Fable 5.2 to simulate the Bay Area through 250 years of history.
Zoom to any city or neighborhood, select any year back to 1769, and see what it looked like.
https://t.co/a3kl1UD7I9