The Legend of Zelda: AI Movie Trailer! | Made by VideoMax AI & Midjourney

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#vfx, #videos

The Chinese Room Experiment— AI’s Meaning Problem

“The question is not whether machines can think, but whether men can.” — Joseph Weizenbaum (creator of ELIZA, first chatbot)

Imagine you’re in a locked room. You don’t speak a word of Chinese, but you have an enormous instruction manual written in English. Through a slot in the door, native Chinese speakers pass you questions written in Chinese characters. You consult your manual, it tells you: “When you see these symbols, write down those symbols in response.” You follow the rules perfectly, sliding beautifully composed Chinese answers back through the slot. To everyone outside, you appear fluent. But here’s the thing: you don’t understand a single word.

This is the Chinese Room, philosopher John Searle’s 1980 thought experiment that has ‘haunted’ artificial intelligence ever since. Today’s models produce increasingly sophisticated text, writing poetry, debugging code and also teach complex concepts. The uncomfortable question, then, is whether any of this counts as understanding; or are we just being impressed by extremely elaborate rule-following.Read More

#human

How Autonomous Vehicles Learn to Reason With NVIDIA Alpamayo

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#nvidia, #videos

The AI revolution is here. Will the economy survive the transition?

Michael Burry called the subprime mortgage crisis when everyone else was buying in. Now he’s watching trillions pour into AI infrastructure, and he’s skeptical. Jack Clark is the co-founder of Anthropic, one of the leading AI labs racing to build the future. Dwarkesh Patel has interviewed everyone from Mark Zuckerberg to Tyler Cowen about where this is all headed. We put them in a Google doc with Patrick McKenzie moderating and asked: Is AI the real deal, or are we watching a historic misallocation of capital unfold in real time?Read More

#strategy

Use multiple models

The meta for getting the most out of AI in 2026.

… [I]t doesn’t feel like I could get away with just using one of these models without taking a substantial haircut in capabilities. This is a very strong endorsement for the notion of AI being jagged — i.e. with very strong capabilities spread out unevenly — while also being a bit of an unusual way to need to use a product. Each model is jagged in its own way. Through 2023, 2024, and the earlier days of modern AI, it quite often felt like there was always just one winning model and keeping up was easier. Today, it takes a lot of work and fiddling to make sure you’re not missing out on capabilities. — Read More

#performance