I think the time here is over.
Mastod0n was too elephantiac to be useful (dislocated servers work pretty bad for me).
I'll be Flying more frequently in a bluer Sky. Same nickname. I'll be digging the mug here from time to time for the feeds.
Thank you all (not you, Elon)
Richard Feynman's Lectures on Physics are timeless: their main strength is in demonstrating how to reason about physics.
You may not know that all the lectures are completely online:
Vol 1: https://t.co/yDpyRViG61
Vol 2: https://t.co/oEctaDhy2X
Vol 3: https://t.co/eXS03nu9fE
Avi Wigderson is the only person in history to have won both a Turing Award (computer science) and Abel Prize (math). I interviewed him all about his field. We discussed:
• His intuition on a proof of P vs NP
• Why we use SAT solvers for most NP problems
• Zero knowledge proofs and their impact
• Quantum computation and implications
• Math and computer science's relationship
Where to watch:
• YouTube: https://t.co/zViqAulFCo
• Spotify: https://t.co/iat08Xob17
• Apple Podcasts: https://t.co/jOYDGtGVnt
• Transcript: https://t.co/k4zS7yOhnw
Thank you to this episode's sponsors for supporting my work:
• WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://t.co/y8noBzFEem
Timestamps:
00:00 - Intro
01:08 - P vs NP
14:51 - What if you relaxed correctness
25:38 - Why NP complete problems are equivalent
30:33 - Space vs time complexity
43:06 - Why people use SAT solvers
45:53 - Randomness is a resource
55:48 - Randomness depends on computational power
01:21:20 - Zero knowledge proofs and their significance
01:38:30 - Quantum computation and why it matters
01:56:24 - Math vs computer science
02:08:16 - Major breakthroughs and his experience
02:12:31 - Advice for his younger self
02:14:48 - Outro
As many other oncologists will also attest, we were taught this was a dead end
It was, dogmatically, never going to work — kras was too much of a “greasy ball” to be targeted
And yet here we are, with truly meaningful survival curves👇
Inspiration on multiple levels #ASCO26
A must-read survey to refresh math and gen AI basics → The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
It shows a clear walkthrough of how gen AI learns to understand, model, and create complex data, covering:
- Latent algebra foundations: PCA, SVD, autoencoders
- Latent models: PPCA and VAEs
- VAEs: ELBO, inference, reparameterization
- Diffusion: the way from noise → denoising
- Score-based and continuous-time generative modelling
- Density models: flows, autoregression
- GANs and energy-based models beyond likelihoods
Cheers, chills, and a standing ovation when RASolute 302 showed unprecedented survival on daraxonrasib for patients with progressive pancreatic cancer
Seldom do you sense you’re witnessing a historic moment in cancer care but this feels like ras targeting has arrived
#ASCO26
RAS finally getting drugged is one of the great stories in modern biology, and almost nobody outside oncology understands why it's such a big deal.
YOU'LL LEARN SOMETHING AWESOME TODAY.
i am going to keep this as understandable (and simple) as i can.
OPEN THE THREAD.
🧵
A road to information geometry:
top:
probability and math./comp. statistics
middle:
IG textbooks: from beginner's to advanced level, with its dedicated journal
bottom:
differential geometry: from Riemannian to symplectic/contact
There hasn't previously been a treatment vs pancreatic cancer this successful. Striking improved (a > doubling) survival results @NEJM and @ASCO today with daraxonrasib, which also became available via an FDA approved early access program and began shipping to physicians this week @RevMedicines
https://t.co/e04jqJMPw0
Catalogue entries for more than 100 antibodies sold by the research services and supply company Thermo Fisher Scientific contain images that have apparently been manipulated, according to a pair of science sleuths.
https://t.co/5rUUgxceoE