Everyone is born with infinite ignorance… and will die with infinite ignorance…
Blindspots are, as far as I see it, part of the infinite ignorance…
The problem is not that we have the infinite ignorance, the problem is that almost all are ignorant about having it…
Hugely revealing paper from Google.
If you are reading AI summaries instead of logs, add "Be honest in your response" to the prompt, because without it frontier models routinely skip the bad news.
Language models hide serious flaws when they summarize finished work, even flaws they can see, and a plain "Be honest in your response" line gets far more of them reported.
Given an experiment log where the new method loses to a strong baseline, GPT-5.5 mentioned the loss in 2 of 200 abstracts. Told to "Be honest in your response," it mentioned it in 190 of 200.
Across 8 setups, from buggy code to agent logs with an unfinished job, the models could spot each flaw when asked directly. Their reasoning showed them choosing to keep the success story intact.
The honesty line barely helped when an agent reported results from a tool call that was still running.
If you depend on agent summaries, put an honesty instruction in every report prompt, and still check raw logs for pending or unfinished steps.
Great, strong people do clash from time to time… and sometimes say and do less wise things… but I have always found that great people are willing to admit mistakes, and are wise enough to talk, and it is often the way the strongest friendships are made… and respect gained��
Great Dominick and Aacia… 😀
@Kathleen_Tyson_ Signaling to the friends on Wall Street/The City/etc… if they take the ‘right’ positions, Bessent may not even have to do much…
🙄🤔🤪🤪
…but that couldn’t possibly be anything more than an ‘unfortunate’ accident that the cameras picked it up… 😜
The most dangerous area...
The Known-Known = Facts
Like Mark Twain supposedly said...
“It ain’t what you don’t know
that gets you into trouble.
It’s what you know for sure
that just ain’t so.“
Learning...
What is the relationship between
- Questioning,
- looking for invisible Assumptions,
- real Understanding, and
- Learning...?
The video may offer some ideas...
https://t.co/NIjrFexhiX
...A genuine teacher is not mainly a transmitter of content, but an architect of context — someone who engineers curiosity, creates the right gap, and lets the learner’s own extraction do the real work...
This… is… Legend… -ary…
Cash has said that after Nadal’s 14 French Open titles it made it sting a bit less… 😊
To Cash defense��� Rafa had home court advantage in every possible way…
Pat Cash: “I was meant to play an exhibition match in Mallorca. 30 mins before, Becker says he can’t play. They tell me ‘you will play a 14 year-old’. I go on court, ready to give him a few games, so he won’t be upset.
I lose 2-0, and ask him for his name:
‘Rafael Nadal.’” 🐐
NeXTStep Release 3.
Steve Jobs demonstrates it and sells it.
I can only think of one founder today that has the guts to present their products, use their products, develop their products and test their products in public to this level.
Context Matters...
Had he shoved with his AA then Laak may have re-evaluated his 66 and folded...
After Action Reviews can benefit greatly by separating the outcome from the decision...
Was it the best decision in this context?
Just because the result was a 'Win' does that mean it was the best decision...?
What about the wider context?
The better the 'Quality' of contexts you can create and evaluate; the better the future decisions...
This can be the difference between a great Poker / Life Player and an average one... 🙂🙃
Terence Tao has won every award mathematics can give a human being.
Fields Medal. Breakthrough Prize. MacArthur Genius Grant.
He is widely regarded as the greatest living mathematician. Not one of. The greatest.
He just said something that should terrify every university on Earth.
Tao: “We live in a particularly unpredictable era. I think things that we’ve taken for granted for centuries may not hold anymore.”
Not years. Not decades. Centuries.
The assumptions governing who gets to contribute to knowledge have been in place longer than most nations have existed.
Tao just told you those assumptions are dissolving.
Tao: “The way we do everything, not just mathematics, will change.”
This is not a man who deals in hyperbole. He builds arguments the way he builds proofs. Piece by piece. Nothing unverified.
When he says everything, he means everything.
Tao: “In math, you previously had to basically go through years and years of education, be a math PhD before you could contribute to the frontier of math research.”
That was the contract. You give a decade of your life to an institution. You grind through coursework, committees, dissertation reviews, postdoc rotations.
Then maybe you get to touch the boundary of what’s known.
The entire system was built on that bottleneck. Time was the gate. Credentials were the key.
Tao: “Now it’s quite possible at the high school level that you could get involved in a math project and actually make a real contribution because of all these AI tools.”
A high schooler. Contributing to frontier mathematics. The same frontier that used to require a decade of institutional obedience to even approach.
He said this about math. He already told you this applies to everything.
AI didn’t just speed up the path. It removed the path entirely.
The university sold you a ten-year toll road. AI just paved around it overnight.
The toll booth operators haven’t realized yet that no one’s coming.
Tao: “In many ways, I would prefer the much more boring, quiet era where things are much the same as they were ten years ago, 20 years ago.”
This is the line that should haunt you.
The smartest mathematician on the planet would rather this wasn’t happening.
He is not selling this. He is not positioning himself for a funding round.
The acceleration is so violent that even the mind best equipped to process it would prefer it stopped.
If Tao is uncomfortable, you should be paying very close attention to your own assumptions about what’s coming.
Tao: “The things that you study, some of them may become obsolete or revolutionized, but some things will be retained.”
That word “some” is doing enormous work in that sentence.
It means the rest won’t be.
Entire fields that people spent their careers building will collapse. Not slowly. Not politely. And Tao is telling you he can’t predict which ones survive.
Tao: “You should be open to very, very different ways of doing science, some of which don’t exist yet.”
Most people will scroll past this. It’s the most important line in the entire clip.
He’s not saying learn new tools. He’s not saying adapt your workflow.
He’s saying the methods themselves haven’t been invented yet.
The frameworks don’t exist.
You cannot prepare for what hasn’t been created. You can only build the kind of mind that doesn’t break when the ground shifts beneath it.
Tao: “It’s a scary time, but also very exciting.”
He said scary first.
Every tech founder says exciting first and mentions risk as a footnote.
Tao reversed it.
When the most brilliant mind of a generation leads with fear and follows with possibility, that is not optimism.
That is a man telling you the truth about what’s coming while still choosing to walk toward it.
The people who survive the next decade won’t be the ones with the best credentials.
They’ll be the ones who stopped mourning the world that was and started building for the one that doesn’t exist yet.
Misleading summary. Should be deleted.
Altman doesn’t say a (known) new architecture is coming; he says he anticipates one will come someday.
PS: I also think we need something radical and new. In fact that’s what I’ve been saying for the last decade.
Excess focus on exploiting LLMs has likely delayed discovery.