Londonmaxxing Part 2! One of the greatest angel investors of all time and a good friend. There’s been a ton of building in the morning, now it’s time for football. Wild videos and photos in the thread. cc @mjasay (en absentia)
SF’s dating pool was once, as an Egyptian founder put it to us, “drier than the desert in my homeland.”
Now, gorgeous women are flocking to the city.
Why? As AI gets cheaper to build, companies flush with venture cash are hiring beautiful women to charm investors and clients.
Enjoy it while it lasts, gentlemen. As @nicolewizman1 writes: paying hotties 6 figures to get drunk with your business prospects feels like a pretty good sign we’re in a bubble. 👇
Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
‼️ BREAKING: Go has issued an URGENT security update blocking 8 certificate authority keys over undisclosed security concerns.
It will reject certificate chains using these keys, potentially breaking connections for rebuilt applications.
The filter cannot be disabled.
Here's what we know: https://t.co/X0uIVXrlp1
Help HBCUs and their students continue learning online and in-person. UNCF has an efficient operation. Donate today to help at https://t.co/Xs0ph8NtoM.
I donated in honor of William Mitchell III.
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
https://t.co/zHij5zwKGT
@pronounced_kyle My parents did this to me and it worked, on my hearing as well. I will just get a Neuralink or Science Corp when they are approved for hypersonic hearing.