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Trump’s trade deals have redefined the American presidency. He has brought in trillions of dollars of value for the U.S. based on powers that other presidents never used or even realized they had.

David sacks ✪ 6mo ago

President Trump keeps delivering historic victories. Two days ago the signing of the GENIUS Act, which creates a legal framework for stablecoins.

This law will unlock American dominance in the crypto industry by creating clear rules of the road, reversing the regulation by prosecution approach of the last four years.

It will update archaic payment rails with a revolutionary new payment system based on blockchains.

And it will extend US Dollar dominance globally by creating a digital dollar that people all over the world can use.

For every digital dollar in a crypto wallet, there will be a traditional dollar reserved in a US bank account, creating trillions of dollars of demand for U.S. Treasuries.

This is a huge Promise Made, Promise Kept by President Trump. But if that were not enough, the House has passed CLARITY, the market structure bill, which President Trump has committed to support as it goes to the Senate.

President Trump promised to make the United States the Crypto Capital of the World and he has delivered on that promise. Thank you President Trump for your leadership!

David sacks ✪ 6mo ago

What is the most realistic way for the U.S. to lower debt/GDP?

Growth

What is the biggest driver of growth?

Productivity

What is expected to drive productivity most?

AI

Yet over 1,000 bills have been introduced in state legislatures to hobble AI.

We need preemption in OBBB.

David sacks ✪ 6mo ago

AI is adding jobs!

David sacks ✪ 6mo ago

I find the story of AI and radiology fascinating. Of course, Hinton's prediction was wrong* and tech advances don't automatically and straightforwardly cause job replacement — that's not the interesting part.

Radiology has embraced AI enthusiastically, and the labor force is growing nevertheless. The augmentation-not-automation effect of AI is despite the fact that AFAICT there is no identified "task" at which human radiologists beat AI. So maybe the "jobs are bundles of tasks" model in labor economics is incomplete. Paraphrasing something @MelMitchell1 pointed out to me, if you define jobs in terms of tasks maybe you're actually defining away the most nuanced and hardest-to-automate aspects of jobs, which are at the boundaries between tasks.

Can you break up your own job into a set of well-defined tasks such that if each of them is automated, your job as a whole can be automated? I suspect most people will say no. But when we think about *other people's jobs* that we don't understand as well as our own, the task model seems plausible because we don't appreciate all the nuances.

If this is correct, it is irrelevant how good AI gets at task-based capability benchmarks. If you need to specify things precisely enough to be amenable to benchmarking, you will necessarily miss the fact that the lack of precise specification is often what makes jobs messy and complex in the first place. So benchmarks can tell us very little about automation vs augmentation.

* Hinton insists that he was directionally correct but merely wrong in terms of timing. This is a classic motte-and-bailey retreat of forecasters who get it wrong. It has the benefit of being unfalsifiable! It's always possible to claim that we simply haven't waited long enough for the claimed prediction to come true.