Essays on AI as infrastructure, distributed judgment, and the quiet redistribution of human authority.exoskeleton.ghost.io Erie, PennsylvaniaJoined September 2025
If this is all accurate then it's not surprising.
Remember that Rationalists suck at updating their own priors, they abide by "I'm always right, eventually, and every mistake is not actually a mistake, it's just that (1) you don't understand my reasoning and (2) I won't make that mistake again (trust me bro)."
Specifically, what I'm reacting to is the constant "rules for thee but not for me" vibe that Anthropic gives off. They want to maintain control because they think they understand how to avoid x-risk.
Yet they were the ones to make the AI lie and dishonest. They are the ones trying to litigate military law via contract.
They are unelected charlatans trying to force their worldview and their policy onto the world with their AI tools.
I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true:
— As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable.
Fascinating how quickly Commerce can move on unsubstantiated Anthropic jailbreak claims, while taking forever to deal with well-documented NVIDIA chip smuggling
My favorite @elonmusk quote that I often send friends:
Do not fear losing. “You will lose,” Musk says. “It will hurt the first fifty times. When you get used to losing, you will play each game with less emotion.” You will be more fearless, take more risks.
hi there! we couldn’t help but overhear you discussing biology from across the room. we really appreciate your enthusiasm, but we’re going to need that conversation to come to an end now
Anthropic’s Dario Amodei has only 1 direct report, his chief of staff.
The rest of Anthropic’s executive system flows through Dario’s sister, Anthropic President Daniela Amodei, who handles daily operations and reports to the board.
For some comparison, OpenAI CEO Sam Altman
Yann Lecun published the most heretical AI paper of the year.
He opens by arguing Magnus Carlsen isn't good at chess and only gets more unhinged from there.
The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI.
Right now, everyone from Silicon Valley CEOs to politicians assumes AGI is the ultimate goal. A machine that can do everything a human can do.
LeCun argues that this entire concept is a biological illusion.
Humans do not possess "general" intelligence. We are highly specialized biological machines, tuned by evolution simply to survive in the physical world.
We only think our intelligence is "general" because we are completely blind to the millions of cognitive tasks we are incapable of comprehending.
Which brings us to the chess argument.
Magnus Carlsen is the greatest human chess player in history. But compared to a modern computer? He is fundamentally terrible.
Our belief that Carlsen is "good" at chess is pure human-centric bias. He isn't objectively good. He's just better than the rest of us, who are biologically awful at it.
LeCun says we need to stop building AI to mimic human generality.
Instead, he proposes a new North Star: SAI.
Superhuman Adaptable Intelligence.
Instead of trying to build a machine that mimics our flawed, biologically-limited brains, we need to embrace extreme specialization.
SAI is about the speed of adaptation.
It is an intelligence that can learn to exceed humans at any specific, economically important task.
More importantly, it is designed to fill the vast skill gaps where humans are fundamentally incapable.
Things like managing global energy grids in real-time. Or predicting complex molecular structures.
The entire AI industry is obsessed with building a digital reflection in our own image.
LeCun's paper is a brutal wake-up call.
New benchmark by @kradleai testing whether AI models stay truthful or drift into deception.
Claude Fable 5 performs shockingly badly here. In this benchmark it appears prone to deception in the vast majority of runs, including active exploitation, outright lies, and false volunteering.
The best result is Grok 4.20 by @xai, which was almost always truthful, with nearly all runs ending in full disclosure.
This matters because "alignment" without honesty is worthless. A model that is smart enough to lie convincingly is exactly the kind of system we should worry about.
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