Martin Scorsese is an advisor to Black Forest Labs.
He's spent six decades shaping how the world sees stories. Now he's helping us shape visual intelligence with human taste and craft at the center.
We sat down with him for a working storyboarding session using FLUX.
TLDR: a nice paper for the excessively mathematical ML engineer.
I used to worry about search getting caught in local minima, before 2015 or so. Since then, it has been pounded into me by experience that local minima are rare: in high dimensions, almost all critical points are saddles. So I believe it, but didn't feel like I had a good theoretical justification. I noodled around with the math, but didn't come up with a good model. This paper satisfied my theoretical unease. It shows that the probability of a random critical point being a local minimum goes as exp(-N^2), for dimension N, under a plausible random field model. I don't think it's original; I just didn't know about it because I don't keep up with the literature. But it is short, clearly written, and nicely explained.
People are now tricking Meta’s AI support assistant to gain access to other people’s Instagram accounts.
This is exactly why AI should never have the authority to make account recovery decisions.
"em dash is an AI indicator" "semicolons are an AI indicator" "describing things in threes is an AI indicator" "the word genuinely is an AI indicator" "the oxford comma is an AI indicator" "flowery prose is an AI indicator" should we all die? should we just kill ourselves
people crying what is the point of this bro what is the point of anything just enjoy the fruits of all the hard work people before us have done for us to reach the point where humans can spend time doing "frivolous" things like this
Shrey spelling 32 words in 90 seconds to win the Spelling Bee is the new greatest athletic accomplishment of 2026. I don’t even know how he said the letters that fast. Got a “Holy Mackerel” out of
@minakimes
Nothing says a thoughtful discussion about ethics like a crowd online ready to fuck up your life, messaging you and your family for 24 hours a day, and sending death threats while encouraged by your own colleagues.