The translation & dubbing was a huge amount of work (which I deeply care about) with humans & AI collaborating. Thanks to the amazing team at @ElevenLabs for their help.
But the way that I think about it or I try and talk about it is that actually the stress response and this is as kind of Sier originally described it is stress drives adaptation.
So we're talking about strong measurable selection coefficients on the order of half a percent or more in this study and all of those are going to work in small populations or large populations. It's not going to be affected by the population size.
Uh and 98% of it is other factors, especially genetic drift. So it's overwhelmingly migrations and population structure causing fluctuations in frequency.
I expect AI to increase productivity of top mathematicians much more than that of top writers, because formalization is a kind of translation task, it doesn't require much judgement, and as long as it compiles noone needs to read the result.
Which brings me to the film adaptation of Inherent Vice, that widely-disliked, subtly-championed shaggy stoner LA noir that confused critics and rankled fans and also happens to be the best movie Paul Thomas Anderson has ever made.
There is something deeply satisfying with reading out loud phrases like: “for in mere breath did it come, and into darkness it goes, and in darkness its name is covered.” Though King James is iconic, Robert Alter better conveys overall the literary power of the Hebrew Bible.
Similarly, AI translation will prevent you from learning to speak another language, AI summaries will block you from really understanding the arguments laid out in a book, and AI analyses of your personal problems will make it harder for you to think through solutions to your own problems.
We argue that this profound adaptability is fundamentally linked to the efficient construction and refinement of internal representations of the environment, commonly referred to as world models, and we refer to this adaptation mechanism as world model induction.
We contend that games provide particularly rich and controlled environments uniquely well-suited for systematically evaluating rapid model adaptation and the process of world model induction.
It's very readable, and captures a sense of what is, fundamentally, a very alien, and often ugly, story in a very alien, and often ugly, world, related in magnificent language.
But we do not have experience with the kinds of problems we’ll face if we build machines that are smarter and more capable than us, so I feel much less sanguine that an adaptation-based strategy will help us there.
We should think of the gap between frontier models and proliferated models as an adaptation buffer: a limited time window when we know what bad actors will soon be able to use AI for, which gives us a chance to implement defensive measures that increase society’s resilience to the danger.
Ben's personal reflections on reinventing himself at "midlife" (though relatable at any age). I love how he leaned into a new version of himself without dramatically blowing up his life.
It's a nice, short, and moving memoir by the comedian and actor Steve Martin. The book details his early working days at shops and clubs, his relationships, and eventually his rise to fame. He shared his struggles, his failures, long hours of practice, his reflections to refine his craft, and his efforts to find his own unique voice as a comedian. Any memoir that only talks about successes and never discusses struggles, rejections, or weaknesses is suspect. This one is not. What I like about his writing is that it feels candid and, at times, funny.
Some of his essays are thought-provoking. His reflections on education, nationalism, and other topics are not only stirring but also showcase literary brilliance. The man could write.
“lots of anonymous people just invented through trial and error and adaptation” just doesn’t cut it for me — I’ve never found such stories to be true upon closer investigation.
Text is a much more powerful mode for model outputs. A model that can generate images can only be used for image generation, whereas a model that can generate text can be used for many tasks: summarization, translation, reasoning, question answering, etc.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.