@lmrankhan Exactly, like how predictions markets were conceptually and practically a thing (augur etc) for almost a decade before the tipping point.
Still so early for many other things.
opinions currently:
- use the out of the box harnesses no mods (amp / codex xhigh + /goalmaxxing)
- harness in the sandbox, not the opposite
- minimal agents file - skills only for deep verticals/step-by-step workflows
I think this looks like <60mins distance from urban manufacturing clusters rather than truly rural in the canonical sense. You get rid of most of the QOL problems of megacities without losing out on advanced healthcare, high ceiling jobs, labor pool etc.
TN development is likely 5-10 years ahead and already reflects a more distributed model of development and low urban-rural divide e.g. Kongu belt which has a population about 2x of chennai spread out over mixed urban/rural settings, and is a huge manufacturing cluster. People there enjoy higher economic surplus and far better QOL than in megacities.
“The secret to doing great work is always to be a little underemployed. You waste years by not being able to waste hours.”
This Amos Tversky quote is 1000x more true today. As technology accelerates, reserving time and energy for indulging your curiosity is ever more important.
Really feeling that these days.
Excellent analogy: Post-Mythos, LLMs have fully surpassed human hackers. Proving something is safe means spending more tokens than attackers will.
That's the PoW security model to a tee. Cryptoeconomics now applies to all software.
Recommended reading👇
https://t.co/pCVI5MsvNA
research is now so commoditized that the game is less about esoteric information and more about execution, sizing, and trade expression
crypto traders may have the best discretionary instincts in the world rn because of how many market cycle reps they've crammed in the past yrs
the value of this technology will mostly not be captured by its inventors, the labs, or even the chipmakers, but rather will be captured by the consumers as surplus. these are highly competitive markets without any natural monopolistic effects
like many other technologies before it, machine intelligence democratizes abilities previously only available to the wealthy, in this case by commoditizing the services of the white collar elite who mostly live in rich countries
it’s not that there are no programmers, it’s that really anybody can make software now now so the “rents” of the “human capital” of knowing how to write JavaScript for example should shrink dramatically
this will reduce the inequality between countries: services that previously required lots of human capital now require chatbot subscriptions at worst, or may even be given away for free
you can receive medical advice worthy of a $1000/hr American specialist doctor likely for free while living under a thatched roof in eg Papua New Guinea somewhere
while I think Americans have plenty of reason to be excited by AI, I would be more excited as someone in a poor country