AI chronicles

Quitting programming as a career right now because of LLMs would be like quitting carpentry as a career thanks to the invention of the table saw.

We’ve automated the hands. We’re automating the heads. What’s left is the heart: presence, commitment, and care. That’s the third labor — relational labor — the work machines can’t replicate because they can’t relate in the truest sense of the word.

The first step is to understand the fundamental difference between humans and AIs. We are analog, chemical beings, with emotions and feelings. Compared with machines, we think slowly—and we act too fast, failing to consider the long-term consequences of our behavior (which AI can help predict). So we should not compete with AI; we should use it. At... See more

“We’re at a moment in history when we need to rebuild our confidence in the capabilities of humans to reason wisely, to make collective decisions,” Vallor tells me. “We’re not going to deal with the climate emergency or the fracturing of the foundations of democracy unless we can reassert a confidence in human thinking and judgment. And everything ... See more

An LLM is trained by allowing it to adjust the connections in its neural network until it reliably gives good answers, a process that Hinton compared to “parenting for a supernaturally precocious child.” But because AI can “know” vastly more than we can, and “thinks” much faster, Hinton concludes that it might ultimately supplant us: “It’s quite co... See more