The conclusion of this chapter.
So-called "neural networks" are extremely expensive, poorly understood, unfixably unreliable, deceptive, data hungry, and inherently limited in capabilities. In short: they are bad.
Sayash Kapoor and Arvind Narayanan's "The bait and switch behind AI risk prediction tools": https://aisnakeoil.substack.com/p/the-bait-and-switch-behind-ai-risk
You can support the podcast and get episodes a week early, by supporting the Patreon:
If you like the show, consider buying me a coffee:
https://www.buymeacoffee.com/mattarnold Original music by Kevin MacLeod.
This podcast is under a Creative Commons Attribution Non-Commercial International 4.0 License.