bimri retweeted
Founders getting ready to do 30 minutes of marketing after 1 year of building features:
bimri retweeted
I've hired 500+ people as a startup founder.
almost all of my worst hires had impressive LinkedIns
almost all of my best had wild GitHubs and crazy side projects
been saying this since 2016... folks are catching up.
the old education system is like dead dead
there's literally never been a better time in history to homeschool your kids with AI
you can now just prompt it to create an entire curriculum for your kid, give lessons, generate interactive quizzes to see what they're actually learning, explain things in a hundred different ways until they understand, adapt the difficulty and pace to their progress, generate videos, etc etc
you could probably give your kids a much better education in a fraction of the time they'd otherwise spend sitting in a classroom learning the same things at the same pace as 30 other kids
and then spend all that extra time playing with them, exploring, doing sports, reading, traveling, whatever
it's actually insane when you think about it
Neil still hasn't reached his Damascus moment.
My mother was a philosophy professor in Oxford ... and at age 8 I was fond of declaring "If there's one thing I'll never be when I'm grown up it's a philosopher!"
Well, decades later, my science led me to figure out some rather interesting things in philosophy ... and now there's a book of my philosophical essays just published.
amazon.com/Ultimately-There-…
data siphoning initiative continues
We’ve expanded our AI for Science program beyond individual teams to support some of the world’s leading scientific foundations, institutions, and research groups. anthropic.com/news/ai-for-sc…
bimri retweeted
Yann LeCun: The AI industry is completely LLM-pilled. Everybody is working on the same thing.
“They’re all digging the same trench.”
“They’re stealing each other’s engineers, so they can’t afford to do something different.”
“If they start going on a tangent, they’re going to fall behind the other guys.”
“It’s one big reason I left Meta. Meta also became LLM-pilled.”
“I cannot imagine that we can build agentic systems without those systems being able to predict the consequences of their actions.”
bimri retweeted
The right to bear VRAM shall not be infringed.
Unfortunately, a great point by Sam. If we really are in such a memory crunch, in what world does it make sense to have all the world’s DDR distributed across local devices being used only 5% of the day? Inference economics would be much more favorable if memory costs could be amortized over higher utilization.
trust the Internet to ruin good things, like being a polymath. it's only downhill from here.
folks love dunkin' in Chomsky like what!
Chomsky was wrong.
Researchers found your brain doesn’t store language the way every textbook since 1957 claims.
For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical.
We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak.
This new paper proves that is completely wrong.
Researchers at Cornell University analyzed how people actually process and produce language in real time.
They found sequences. Linear chunks.
When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it.
We string linear chunks together.
If this sounds familiar, it should.
This is exactly how Large Language Models like ChatGPT work.
For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do.
But this paper suggests humans don't use those hierarchies either.
We are just predicting the next chunk.
Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions.
We thought we were building AI to mimic the complexity of the human brain.
It turns out, the human brain was just running a simpler algorithm all along.
