From image to 3D model (Ep. 212)

A classifier went from a $200M to a $7.5B valuation in 24 days. We've seen this before: blockchain. Same hype, same irrational money. And no, it's not like the dot-com fiber boom: fiber lasts decades, GPUs go obsolete in a couple of years. Who pays when the music stops? Strugglin ...  Show more

I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ...  Show more

There's been a huge resurgence in three-dimensional special effects in the world of film -- but how do these effects work? In this episode, Jonathan and Chris break down the science behind 3-D technology.

Generative AI can struggle to create realistic animals and 2D representations often have mistakes like extra limbs and tails. If 2D wasn't hard enough, there are researchers working on generative 3D models. 3D models present an extra challenge because there is paucity of train ...

In this episode:00:46 Machine vision enables multi-material 3D printing3D printers are capable of producing complex shapes, but making functioning objects from multiple materials in a single print-run has proved challenging. To overcome this, a team has combined inkjet printing w ...  Show more