Unofficial @TensorFlow
San Francisco, CA
Joined November 2015
- Tweets358
- Following18
- Followers28.5K
- Likes875
TensorFlow Community retweeted
I'd like to request that @finkd, @lexfridman, @BillGates, @JeffDean, @driscollis, @teoliphant, @JosephJacks_, @GeoHot, @brainix, @ID_AA_Carmack, @GregTanaka, @bramcohen, @maxbraun, @m_jovovich
We want objective engineering judgement. I will put on a show, 1v4.
🚀
@teoliphant, a little boid-e told me you might be making a return to talk about POST python.
TensorFlow Community retweeted
depth-anything.cpp combined with a phone camera and some SLAM techniques can create voxelated worlds from time-lapse videos.
I'm not even sure a phone camera is in-distribution as a lot of the depth information is low confidence. All of the far objects below would be filtered if we demanded confidence, but we still get identifiable buildings in the background.
Meeting tomorrow! <insert marketing hype language, cuz we're developers, not soft skills types>
meetup.com/californiapython/…
PSA:
Ctrl-C
Ctrl-V
...if you don't have your backend configured with your registration form, properly, that is...
or maybe you're capitalize(<registrant name>)-ing, thinking typography isn't a thing in art, @peoplesartists?
ƒ: forte, to be played loudly.
I'm abstaining from campaining for @peoplesartists' tournament because they couldn't get my name capitalized correctly.
Shame.
peoplesartist.org/2026/fryma…
TensorFlow Community retweeted
We will be speaking tonight in the CalPy meetup about Wasmer and why is the future of containerization.
Join us! 🚀
I solved my first Erdos Problem at 17!
Thank you so much to everyone that helped me out along the way!
erdosproblems.com/forum/thre…
Thanks @demishassabis, keep it up in 2026!
> be demis hassabis
> spawn in london
> age 4, become child chess prodigy
> win chess tournaments
> reach ~2300 elo
> face danish chess champion
> game lasts hours
> position is a forced draw
> too exhausted to see it
> resign
> danish guy laughs and shows the draw
> feel sick to my stomach
> realise something is wrong
> chess is too narrow a problem
> brilliant minds wasting decades on it
> decide not to become a chess pro
> buy a computer with chess winnings
> teach self to program from books
> start hacking on games with friends
> decide to finish school early
> apply to cambridge age 16
> cambridge says you're too young
> forced to take a gap year
> enter a video game coding competition
> win
> get invited to join bullfrog game studio
> too young to be legally employed
> work there anyway
> build ai system inside theme park game
> game becomes a global hit
> turn 17
> offered £1,000,000 to stay and build games
> turn it down
> go to cambridge anyway
> decide games aren't enough
> study computer science
> interested in agi since 2007
> most people laugh at this idea
> realise brain is only form of agi we have
> want to learn more about human brain
> go back to school
> study neuroscience
> realise academia moves too slow
> decide to build a company instead
> start deepmind
> pitch “solve intelligence”
> investors don’t know what that means
> get to meet peter thiel for one minute
> wonder how to convince him
> spend one minute playing chess with him
> pitch "solve intelligence" again
> he invests
> go into total stealth mode for two years
> no website
> secret office
> candidates think it’s a scam
> start to train ai in simulated environments
> train ai with reinforcement learning
> train ai on pong first
> it sucks
> can't win a single point
> keep trying
> wait it won a a point
> wait it's winning every single point
> it actually works
> expand to train on any two-player game
> chess first, then move on to go
> beats world champion at go
> beats pros at starcraft
> games is not enough
> want to push into science
> realise compute is the bottleneck
> know this will take decades
> google offers ~$400m
> not the highest price
> but they offer unlimited compute
> accept
> refuse to become a product team
> stay in research mode
> determined to use ai for good
> need to figure out what's next
> land on protein folding
> 50-year-old unsolved science problem
> many great minds have tried and failed
> "good luck"
> start up alphafold
> try to solve protein folding
> humans take years to find 1 protein structure
> alphafold can find ~5 per day
> submit results, win competition
> not good enough
> hire more scientists
> rebuild it
> go from solving one per day to millions per day
> create invaluable system
> pharma would pay anything
> have to decide what to do with this
> could sell access for usage
> maybe make it a paid service
> remember childhood chess tournament
> remember why we built this
> decide to give it away all away for free
> publish all known protein structures publicly
> win nobel peace prize
> just the beginning towards agi
TensorFlow Community retweeted
Happy Halloween!
Join us next week for the monthly meeting:
meetup.com/californiapython/…
