DasCapytal

MEV @crypticwoods_

[DasCapytal @dascapytal]

@Aella_Girl yeah, switzerland.

not in an absolute sense, just further along

[DasCapytal @dascapytal]

@levelsio Fixed that by circulating air in my room. CO2 is more concentrated around head of the bed than other corners.

[Joscha Bach @Plinz]

rationalists are prone to thinking that ai is inevitably going to kill everyone because autistic people understand intelligence better than wisdom

[DasCapytal @dascapytal]

@MartinShkreli @Floridagirl0850 gentleman behavior

[DasCapytal @dascapytal]

@thekitze Oh jeez

[DasCapytal @dascapytal]

@Aella_Girl Wowers a doc you were so excited about, that pushes an argument of your camp, is portraying the other camp as non-competent, and u think they’re the ego driven one??

The fucking EAs trapped in their word castle calling others dumb is a fountain that keeps on giving.

[DasCapytal @dascapytal]

@Plinz @UnkleWA @mrkocnnll Based

[DasCapytal @dascapytal]

2026 so far

[Nikita Bier @nikitabier]

The lobsters are at the gates

[DasCapytal @dascapytal]

@0xexpt Are u gonna call?

[DasCapytal @dascapytal]

@AngelicaOung "be a dog and we'll make u rich" has always made sense to me

[DasCapytal @dascapytal]

@timo_rf @thekitze absolutely bait iykyk

[DasCapytal @dascapytal]

@o_wutang not lossy, just not fool-proof. but why would you want that! write with blood, ye astute observer

[DasCapytal @dascapytal]

@Andercot about time we get a schizo physics pod

[DasCapytal @dascapytal]

@AngelicaOung @GeorgeR21234525 @timothyjwyant Its actually incredible how unphased you are towards people who are helpless triggered by your stance on you-know-what. Somehow your replies are still genuine - baffled i tell ya!

[DasCapytal @dascapytal]

@nikitabier @levelsio You'll find that the party is not sale. Downstream fom there you'll then find reluctance in selling things that the party does not want to be sold.

Reluctance out of fear vs the European reluctance out of shame. Either way, a powerful human motivator.

[DasCapytal @dascapytal]

@GivnerAriel you're betrayal of the alliance is noted and your address will not be elligible for future airdrops

have a nice day

[DasCapytal @dascapytal]

@0x9212ce55 Local inference or what?

[DasCapytal @dascapytal]

@EvgenyGaevoy @humidifi (anyone)

[Andrej Karpathy @karpathy]

Sharing an interesting recent conversation on AI's impact on the economy.

AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing.

If you were to forecast the impact of computing on the job market in ~1980s, the most predictive feature of a task/job you'd look at is to what extent the algorithm of it is fixed, i.e. are you just mechanically transforming information according to rote, easy to specify rules (e.g. typing, bookkeeping, human calculators, etc.)? Back then, this was the class of programs that the computing capability of that era allowed us to write (by hand, manually).

With AI now, we are able to write new programs that we could never hope to write by hand before. We do it by specifying objectives (e.g. classification accuracy, reward functions), and we search the program space via gradient descent to find neural networks that work well against that objective. This is my Software 2.0 blog post from a while ago. In this new programming paradigm then, the new most predictive feature to look at is verifiability. If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well. It's about to what extent an AI can "practice" something. The environment has to be resettable (you can start a new attempt), efficient (a lot attempts can be made), and rewardable (there is some automated process to reward any specific attempt that was made).

The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm. If it is not verifiable, it has to fall out from neural net magic of generalization fingers crossed, or via weaker means like imitation. This is what's driving the "jagged" frontier of progress in LLMs. Tasks that are verifiable progress rapidly, including possibly beyond the ability of top experts (e.g. math, code, amount of time spent watching videos, anything that looks like puzzles with correct answers), while many others lag by comparison (creative, strategic, tasks that combine real-world knowledge, state, context and common sense).

Software 1.0 easily automates what you can specify.
Software 2.0 easily automates what you can verify.

[DasCapytal @dascapytal]

don't let me miss the next one pls 🥺

[Edge City @JoinEdgeCity]

Why do hundreds of people journey across the world to live and build together at Edge City?

Week 1 of Edge City Patagonia, beautifully captured by Jeffrey Sun ☀️