Turkle referenced the issue of behavioral metrics dominating AI research, and her concern that the interior life was being overlooked, and concluded by saying that the human cost of talking to machines isn’t immediate, it’s cumulative. 'What happens to you in the first three weeks may not be...the truest indicator of how that’s going to limit you,... See more
The more I use language models, the more monstrous they seem to me. I don’t mean that in a particularly negative sense. Frankenstein’s monster is sad, but also amazing. Godzilla is a monster, and Godzilla rules.
Even the regulatory arena, where Altman publicly champions AI oversight, bears the fingerprints of double-dealing. While testifying in favor of federal regulation, OpenAI lobbied behind the scenes to weaken the EU AI Act and is now advocating for federal preemption of state AI safety laws in the US. Altman has called the very regulatory structure... See more
The share of human-agent and agent-agent interactions in the economy will increase over time, with agents engaging in price negotiation, placing orders from one another, coordinating supply and demand, and even rating each other to assign trustworthiness scores.
We, as humans, sometimes receive streams of tokens and produce tokens in response, forming words, sentences, lines of code ... but always with the ability to peek outside the stream and check in with ground-floor reality. We pause and consider: does this word really stand for the thing I intend it to stand for? Does this sentence capture the real... See more