GOP Gov candidate Victor Marx says he doesn’t need to prove his claims about living a life of danger and daring as a high risk missionary.
I asked Marx how voters should decide whether he’s lived one of the most extraordinary lives in human history or if he’s a liar and a fraud.
Good morning, Damon. I talked with Gary Player this past week at Aronimink about being 90, about Ozempic, about Winston Churchill, about socialism, about the future of LIV and what it was like to fly with Arnie. “I’d be on the floor about to crap myself!” https://t.co/sItngH8ksr
The Americans with Disabilities Act — passed 35 years ago — was not a gift. It was the result of a powerful movement led by people who demanded to be seen, heard and treated with dignity.
The fight for equality is far from over. In fact, it is more urgent now than ever.
Michigan State is whooping Michigan’s ass like it’s 2000 again — which is when State beat them by 40 (or close to it) en route to winning the national championship.
@WorldofIsaac Andy I hope you see this. I will hold you as a model of how to deal with pain and illness with dignity. You brought me so much joy with your humor and passion. Thank you and enjoy your well deserved rest.
Happy to dive into more details here but the main reasons why LLMs are not making amazing discoveries are:
1) passive vs active knowledge. Like when you can understand a language but you can't put together correct sentences yourself. LLMs have knowledge passively stored but have not been trained to explore the latent space because
2) objective functions are not aligned to discovery. predicting the next word, being a good conversation partner after RLHF, finding reasoning paths to achieve a goal are not going to lead by themselves to truly out of the box thinking.
3) one LLM, like one human have a hard time making amazing discoveries. Research is best done with a swarm like intelligence so multiple agents (with either different weights or at least different prompts that push them into different states) are going to be helpful.
4) High level corporate incentives are not set up to push AI to just try things. Serendipity, even in human research, is rare and requires very long exploration paths. So the reward will be very hard to backprop through insanely long discovery DAGs. Eg, some bio researcher wants to study amphibians of Mexico, discovers that Axolotls can regrow limbs and their neoteny (retaining juvenile features into adulthood). Maybe this will result in some longevity breakthroughs but I can guarantee you that right now even the richest country in the world and its NIH could not get a study of Mexican amphibians funded because it's too far from an application many folks understand. So even for humans the paths are often too long from basic research to applied breakthrough.
Too often, airlines get away with treating passengers with disabilities as if our mobility doesn't matter.
With this new rule, we say: no more.
A new era of accountability in air travel begins.