AI
Matt Ross and
AI
While LLMs are designed to emulate human-like responses, this does not mean that this analogy extends to the underlying cognition giving rise to those responses
Testing theory of mind in large language models and humans - Nature Human Behaviour
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.
Faster Horses
KEKE is fascinating.
via linus lee
All of the people I love hate this stuff, and all the people I hate love it. And yet, likely because of the same personality flaws that drew me to technology in the first place, I am annoyingly excited.
archive.is
I feel this intensely and think about it all the time. Many people for whom I have tremendous respect, people I have been reading for many years, people who I look to to make sense of the world really do seem to dislike AI. All I can tell you is that for the last few years, I have been obsessively playing with it, building things with it and spending a lot of time trying to make sense of it. I can’t stop. It’s the exact same feeling and drive I had when I first installed Mosaic in the 90s. But this feels quite a bit different.
the danger isn’t that AI will deceive us in some dramatic, sci-fi way. The danger is that AI will make deception so cheap and so ubiquitous that we might stop trying to figure out what is true. Not because we are fooled, but because we are exhausted.
The Future of AI
Pete Warden’s new thing. Crazy-fast translation. Found out about it from Om’s new thing called Crazy Stupid Tech.
By 2030, we’ll see 92 million jobs lost, and 𝟏𝟕𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 jobs created, according to the latest WEF report. | Alex Wang
Alex Wanglinkedin.com