smh my ranking is below my best ever fencing world ranking (43rd), I've got some work to do

smh my ranking is below my best ever fencing world ranking (43rd), got some work to do

I feel this may be helpful to some of you today:

Also notable that both the peptides and the robots are manufactured in China - we’ve forgotten how to build things!

“Where did you meet the bootleg peptide dealer?” “At the underground robot boxing ring” Visceral future-shock

Over 500M Artifacts have been created since we launched! And today, your Artifacts can now embed Claude's intelligence in them; we call it "Claude in Claude" internally and it's been a blast to see what people create with it.

My job? I'm a rare token hunter. I track down dead languages in Tibetan monasteries, decrypt Tesla's private journals, chase whispers of pre-contact Amazonian dialects. The AIs pay top credit for tokens they've never tasted, you know. Work is work, even if it's for the machines.

Why are neural nets and cryptographic ciphers so similar?

Morning. Here are our guest call-ins today: - @shaunmmaguire (Sequoia) - @jackgwhitaker (Stanford) - @AarushSelvan (Google) - @olivercameron (Odyssey) - @mignano (Lightspeed) - @markchen90 (OpenAI) - @_sholtodouglas (Anthropic) - @eshear (Softmax) - @jeff_weinstein (Stripe) - @arakharazian (Ramp) - @walden_yan (Cognition) - @mikeknoop (Ndea) See you all on the stream.

AGI timelines are very bimodal. It's either by 2030 or bust. AI progress over the last decade has been driven by scaling training compute of frontier systems (3.55x a year, 160x over 4 years). This simply cannot continue beyond this decade, whether you look at chips, power, even fraction of raw GDP used on training. After 2030, AI progress has to mostly come from algorithmic progress. But even there the low hanging fruit will be plucked (at least under the deep learning paradigm). So the yearly probability of AGI craters. And we're plausibly looking at 2040+ timelines. I discuss this dynamic with @_sholtodouglas and @TrentonBricken: