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The human brain does quite a bit of optimization on its own, and screws up on its own, no matter what you try to tell it in school. But this fully wraparound recursive optimizer would have no protected level that was optimizing. All the structure of optimization would be subject to optimization itself. And that is a sea change which breaks with the

Eliezer Yudkowsky • Rationality

may still be useful to employ multiple commodity servers to do the analysis, but the basic statistical and mathematical algorithms for doing the analysis haven’t changed much at all.

Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

The current fervor around robotics, particularly humanoid robots, exemplifies this shift. Investors are betting on the most generalizable approaches, driven by the idea that what works in AI will seamlessly translate to robotics. This simplified forecasting could be a testament to the improved speculative ability of modern investors to let go of th... See more

Robotics FOMO, Scaling Laws, & Technology Forecasting - Michael Dempsey: Blog

Generative AI is explored for educational simulations. The prototype PitchQuest uses AI agents to provide personalized learning experiences, practice pitching skills, and offer feedback in a scalable manner.

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Deepak Pathak looks at the success of deep learning and sees one glaring weakness: each system—be it for machine translation, or object recognition, or even game playing—is purpose-built.

Brian Christian • The Alignment Problem

One trend to keep an eye on is that we’re likely nearing the end of requiring repetitive, unchanging movements for efficient production processes.Nonrepetitive movements are fundamentally an information problem - they require some method of telling a machine the state of the surrounding environment, and what to do depending on what that state is.

Brian Potter • Why did agriculture mechanize and not construction?

Charlie Holtz • Tweet

I isn’t ready to be an entrepreneur, but its ideation-prototype-interview cycle does in a couple of seconds what takes my students months to do. AI isn’t ready to build educational games without errors, but it is able to instantly make an interactive simulation that explains a difficult concept, even if some nuance is missing

Ethan Mollick • Confronting Impossible Futures

The problem I've found with all of them is it is difficult to get consistent solid results that you would want to build around. Even listening to podcasts this seems to be a theme with the people at the forefront of MAS LLMs.