If this analogy is right, then we will likely see sort of a 'Cambrian explosion' in agent harnesses purpose-built for running server-side; and the few that win this race will become as ubiquitous as WordPress.
这一预测暗示了AI代理工具领域将经历一个爆炸式创新和激烈竞争的阶段，最终少数几个平台将主导市场。这与当前AI领域相对集中化的现状形成鲜明对比，提出了一个关于技术演化的非共识观点。
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This NFT world is likely the greatest unlock of artist opportunity in 100+ years. This isn't a suboptimal or fringe version of the real-world art economy, it is a vastly improved one.
its fascinating how this may be simulatenously true with the fact that NFTs in their current actual implementation are a scam.. eg regarding copyright, minting on other chains, NFT frozen to a specific URL, NFTs can be trasnferred off chain / OTC such that the 10% royalty doesnt happen, etc etc)
what ive come to see is that the reality is it doesnt matter - people making decisions on their career or specific investments, this matters a lot
.. but before people thinking of diving into this cuz it may be the next big thing for the next 20 years, then ya that's probably correct
this is massive cuz a lot of the problems will be solved one by one methodically even if its crappy today, itll be improved steadily cuz we are good at developing, what were bad at is blank sheet
cant believe im agreeing with this belsky guy
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We live in an age of paradox. Systems using artificial intelligence match or surpass human level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices. Yet measured productivity growth has fallen in half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans. Brynjolfsson, Rock, and Syverson describe four potential explanations for this clash of expectations and statistics: false hopes, mismeasurement, redistribution, and implementation lags. While a case can be made for each explanation, the researchers argue that lags are likely to be the biggest reason for paradox. The most impressive capabilities of AI, particularly those based on machine learning, have not yet diffused widely. More importantly, like other general purpose technologies, their full effects won't be realized until waves of complementary innovations are developed and implemented. The adjustment costs, organizational changes and new skills needed for successful AI can be modeled as a kind of intangible capital. A portion of the value of this intangible capital is already reflected in the market value of firms. However, most national statistics will fail to capture the full benefits of the new technologies and some may even have the wrong sign
This is for anyone who is looking deep in economics of artificial intelligence or is doing a project on AI with respect to economics. This paper entails how AI might effect our economy and change the way we think about work. the predictions and facts which are stated here are really impressive like how people 30 years from now will be lively with government employment where everyone will get equal amount of payment.