atlas

"human self-improvement is the next major category of industry for humans" - @misraetel "imagine the commercial pull on the demand side for age reversal. it's massive" "the regulatory shit goes down the drain at that point because how many senators and congresspeople are older? all of them" "they're not gonna ban it, they're gonna do the opposite of ban it" "it's why memetically, @bryan_johnson's 'don't die' movement has taken off. many would call him crazy but you only have to look to silicon valley and the bodybuilding community..." - me "the bodybuilders are like yeah he's not doing anything too crazy" - mike

i took @misraetel to the park to see the dogs and talk about classic san francisco topics such as: - the permanent underclass - artificial intelligence - human enhancement and peptides everybody has been waiting to hear what the bodybuilders have to say about all this. 00:00 - San Francisco and the permanent underclass 06:00 - Is the permanent underclass discussed outside of SF? 10:35 - Mike’s AI timelines and the future of work 19:50 - Timelines on robot workers 24:20 - The three phases of AI progress 32:20 - Dogs and Ads 34:57 - UBI and when society won’t have to worry about capital 38:58 - Humans won’t need much in the singularity 42:55 - Human self-improvement is the next major category 52:05 - @MartinShkreli shoutout and the future of medicine 1:00:19 - @beffjezos shoutout and why machines won’t turn on us 1:09:35 - AI alignment is important and the Mythos moment

How to become an AI researcher with @oneill_c Charlie co-founded Parsed to build specialized open-source models that can outperform frontier labs. I first met Charlie when Parsed was acquired by Baseten, and now he leads our model development team. Charlie is one of the smartest people I know, and I had the pleasure of talking to him about: 0:00 Intro 3:13 Leaving Oxford to start a company 6:37 Becoming an AI researcher 15:37 Developing a unique POV as your moat 22:04 Parsed origin story 26:01 Big Token, the case for open-source models 33:40 Post-training, fine-tuning, specialization 46:52 Will open models catch up with closed models? 51:50 AI-led job replacement vs job creation 54:45 How to get into inference engineering This is one of my favorite conversations I’ve had in a long time. Made with @ad0rnai behind the scenes. Enjoy!