Just a heads up if you follow me: DaveMor34967909 is a fake account that has cloned my photos & bio, but @Twitter don't seem willing to do anything about it. If it asks you for money or bank details, don't fall for it.
This is the one time I’ll even get close to being able to make such a claim, but I (and Arthur C. Clarke) got there 50 years before Roger Penrose with Conformal Cyclic Cosmology, and here is the documentary proof.
Yann LeCun sat across from Lex Fridman and redefined what intelligence is.
LeCun: “The only thing I’m interested in at the moment is self-supervised learning.”
Not supervised learning where humans label every data point by hand.
Not unsupervised learning, which he dismissed as a “loaded term.”
A third path.
Take a thousand words of text. Remove fifteen percent. Let the machine predict what’s missing.
Show it a video. Cut the next frame. Let it predict what comes next.
LeCun: “You train the machine to reconstruct a piece of input that’s been masked out.”
No teachers. No answer keys.
Just incomplete information and a system that learns to fill in what isn’t there.
This architecture sits underneath every major language model on the planet.
But LeCun wasn’t just describing a training method.
He was describing you.
You didn’t learn language because someone handed you a dictionary. You heard broken sentences for years and your brain predicted the missing words. Thousands of times a day. Before you could walk.
You didn’t learn gravity from an equation. You knocked things off tables and your brain started modeling the fall before your hand let go.
You don’t understand people by reading their thoughts. You catch half a sentence and a flicker of expression and fill in the meaning before they finish talking.
Incomplete inputs. Prediction. Correction. Repeat.
That is not a training technique.
That is what thinking feels like from the inside.
LeCun didn’t build a new kind of intelligence.
He reverse-engineered the one you’ve been running your entire life and never once had to explain.
The machine predicts the missing word in a sentence.
You predict the missing meaning in a conversation.
Same process.
You just happen to feel yours happening.
And that feeling, the one you call understanding…
Is just what prediction feels like from the inside.
Ex-Google executive Mo Gawdat defines Intelligence.
"If we accept that intelligence itself is not a physical property, then it does not matter whether that intelligence is produced on carbon-based computer structures like humans, silicon-based computer structures like today’s hardware running AI, or quantum-based computer structures in the future.
Intelligence is produced within machines when we stop imposing our own intelligence on them."
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From 'The Diary Of A CEO and Mo Gawdat' YT channel (link in comment)
Elon Musk just defended America better than every politician in Washington combined.
Musk: “After World War 2, the US could have basically taken over the world and any country. Like we got nukes, nobody else got nukes. We don’t even have to lose soldiers. Which country do you want?”
One nation on earth held a weapon nobody else had.
Total dominance. Zero competition. No risk of retaliation.
Every empire in history that held that kind of advantage used it.
Rome. The Mongols. The British. The Ottomans.
They conquered until they collapsed.
America had a bigger advantage than all of them combined.
And it rebuilt the countries it just defeated.
Musk: “The United States actually helped rebuild countries. So it helped rebuild Europe, it helped rebuild Japan. This is very unusual behavior, almost unprecedented.”
Almost unprecedented?
It had never happened before. Not once in 5,000 years of recorded history.
The Marshall Plan wasn’t foreign aid.
It was the most radical act of restraint any superpower ever committed.
America turned its enemies into allies. Turned rubble into economies. Turned surrender into partnership.
Germany went from ashes to the economic engine of Europe in a generation.
Japan went from unconditional surrender to the third largest economy on earth.
Three years after the war, America was flying food into Berlin.
A city in the heart of the nation that just tried to destroy it.
That’s not policy.
That’s a civilization deciding what it is at the exact moment it has the power to be anything.
You’re being told a story right now.
That America is the villain of history.
You hear it everywhere. Media. Universities. Social platforms.
Musk: “There’s always like, well America’s done bad things. Well of course America’s done bad things, but one needs to look at the whole track record.”
Every nation on earth has dark chapters. Every single one.
The difference is what a country does when nobody can stop it.
And when nobody could stop America, it fed its enemies and rebuilt their cities.
Musk: “The history of China suggests that China is not acquisitive. Meaning they’re not going to go out and invade a whole bunch of countries.”
Probably right.
China has historically built walls, not fleets.
But the real question isn’t about borders anymore.
We’re approaching a moment that mirrors 1945 in ways nobody has fully processed yet.
AI is going to give a handful of people a power advantage that makes nuclear monopoly look quaint.
If someone is going to hold that kind of power, who do you want it to be?
The country that conquered when it could? Or the one that rebuilt when it didn’t have to?
Every alliance. Every trade route. Every economy.
Billions lifted out of poverty.
All of it traces back to one act of restraint that had never been done before.
And carries no guarantee of being repeated.
The most powerful thing America ever did wasn’t building the bomb.
It was what it didn’t do after.
Yann LeCun says you cannot build a reliable agentic system without a world model
LLMs don't have world models. They can't predict the consequences of their actions before taking them
"they just act, and whatever happens next is someone else's problem"
Without that, it's not intelligence
Cosmic beacon unveiled inside nearby active galaxy by JWST
Just 45 million light-years away lies galaxy Messier 77.
It has an active black hole, it's rapidly forming stars, it's bigger than the Milky Way, and JWST just viewed it.
Wow!
https://t.co/6ljawAWeFd
I’ve always believed the No.1 application of AI should be to improve human health.
That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease!
We are turbocharging that goal with $2.1B in new funding.
@Roz_Morris@UPS@EpsonUK Now too late because @UPS have taken so long (&*still* haven't sent us an access code to the locker) that Yeep will return the order to the sender as uncollected. UPS asked us what the locker location was - something we only found out by looking at the tracking no. on their site!
@Roz_Morris@UPS After 1st phone call, @UPS emailed next day: "use the code provided". I pointed out that I called because I didn't have a code. Next day: "look in your spam folder". I called to say there was no message in spam. Next day: "send us the locker location." I already gave them that.
'I devoured this in one long train journey.' Turn Right At The Rainbow: A Diary of Househunting, Happenstance & Home https://t.co/xF3QlzUxDV #househunting#midlife#memoir#goodreads
I think that academia has not absorbed the fact that AI agents are now good enough to independently reconstruct complex papers without access to code or the papers themselves; just the methods & data.
They aren’t perfect but the errors are often in the human paper, not the AI.
People always confuse the question "Is there a god?" with "Does any religion have a meaningful insight into what god might be like if one exists?"
https://t.co/jZ0fVheghs
A complete TTRPG conceived, written and illustrated by Codex -- and even the bits it misjudges are misjudged in interesting ways. (The brainwave was @emollick's.)
https://t.co/vd5K1Q35Qp
Demis Hassabis says AGI will follow the pattern of past tech revolutions
But this change will be far bigger — like 10 times the Industrial Revolution, at 10 times the speed
"we wouldn't want it not to have happened"
The challenge is making sure we handle the downsides much better this time