Dwarkesh播客最后10分钟令人惊讶

The last 10 min of the latest Dwarkesh podcast are surprising First time I've seen him grapple live...

The last 10 min of the latest Dwarkesh podcast are surprising First time I've seen him grapple live with the potential for extreme concentration of power, which is where most projections of AI development point (see the SA, 2027 or 2040 posts for instance). Generally I'm always surprised by how few people in AI/ML are questioning or worried about extreme concentration. I guess people think it's fine as long as everyone outside the labs can use AI models and it brings lower prices, but the dangers are massive on both fronts: (1) latest models being less and less accessible (see Model 2 / Astra) and (2) prices have many incentives to rise in an oligopoly/cartel situation of extremely powerful companies. youtu.be/aV26V1UvkJw?si… Dwarkesh Patel @dwarkesh_sp OpenAI and Anthropic are currently taking a third of the incremental world compute supply, and Dylan thinks that this will go up to half next year. At the current rate of physical compute scaling and algorithmic progress, we're a single-digit number of years away from having individual AI companies with a greater effective workforce than there are humans on the planet. So many forces are barrelling us towards centralization in AI - the economies of scale in training (where you get to amortize any learnings across billions of sessions), the fact that being slightly ahead allows you to better economize on ever-more-expensive compute. And this isn’t even accounting for the fact that eventually you’ll have models that are capable of learning from deployment and doing proper RSI One of the key questions of our age, in my view, is how we can have broad empowerment and control over AI despite the structural factors favoring centralization. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 1 ❤️ 8 👀 1537 📊 2 ⚡