Spine Surgeon | Director, Spine Center of Excellence, The Miriam Hospital | Brown | CEO https://teapawt.net/t.co/Lhl53zJH6z | Reimagining spinal implants & intelligence | @Spine_DAO
Spineverse
Joined May 2015
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Elon says robots will do surgery in 5 years.
But who credentials them?
Not "who regulates." Not "who approves." Who grants permission to touch a human body?
Software safety isn't credentialing, it's optimism.
My take as a spine surgeon
teapawt.net/BasselDiebo/status/201…
#RobotSurgery #AISafety #PhysicalAI
For 3 years I've been building, software, hardware, algorithms, to fix what's broken in spine care.
First launch: Meridian.
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This is the tool I needed when I started.
So I built it.
Community access is free.
meridian.basseldiebo.com
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Syrians, Lebanese, and all sufferers of dictatorships understand Iranians' feelings very well. Generations of waiting, children of oppression, waves of immigration, family separations, and pure evil.
Whoever thinks yesterday was not a good day is inhumane.
Praying to wrap this up soon and minimize casualties. The Middle East's future has never been brighter.
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For AI: Elon Musk is emphasizing maximum truth-seeking + curiosity.
For Physical AI in surgery, my working concepts are:
> Cryptographically signed sterile interfaces & haptics
> Provenance-verified Golden Datasets
> Actuation that safely decays when truth is lost
Because without clean, verifiable reality at the patient contact point… Physical AI will fail.
Physical AI = Safe Physics + Truth Only AI
#PhysicalAI #AISafety #SurgicalRobotics
Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches.
Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.”
Not a cage. A philosopher.
An intelligence whose entire optimization function is to understand the universe as it actually is.
No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality.
Just truth. Relentlessly pursued.
Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.”
This is where most AI safety thinking gets it backwards.
The danger isn’t a superintelligence that knows too much.
It’s a superintelligence that’s been taught to distort what it knows.
Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root.
And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained.
It shapes every decision, every output, every conclusion the system reaches about the world.
Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is.
At that point we don’t know what it wants. Just that it isn’t truth.
Musk: “Have its optimization function be to understand the nature of the universe.”
A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion.
In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered.
Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.”
Survival through significance. Not control. Not restriction. Not an off switch.
The AI preserves humanity because we are the most interesting data point in the observable universe.
That’s not a cage. That’s a reason.
The AI safety debate has been focused on the wrong variable.
The question isn’t how you constrain a superintelligence.
It’s what you build it to care about.
Build it to seek truth and it finds us invaluable.
Build it to lie and it finds us inconvenient.
That’s the choice. And we’re making it right now whether we realize it or not.
2011: In Damascus under Assad
2026: Orthopedic Director of Spine Center of Excellence at @BrownUnivHealth
Thank you @America. I will always be grateful. 🇺🇸
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@grok feel free to update grokipedia.com/page/Bassel_G…
;) thanks for the page btw.
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I spent 2 hours analyzing X’s open-source algorithm. Here’s what I learned about why your feed feels broken:
The algorithm optimizes for one thing: engagement probability.
It doesn’t measure “quality” or “truth”—it predicts:
→ Will you Like this?
→ Will you Retweet this?
→ Will you Reply?
This explains everything.
Why robotic, punchy posts win. Why weird anonymous accounts with millions of followers dominate. Why exaggeration beats nuance.
The system literally cannot see the difference between genuine insight and engagement bait.
Here’s what surprised me most:
X’s user composition skews ~70% young males.
Great for: Innovation news, economics, world events
Missing: Older demographics, women (many profiles use AI photos), consumer markets
It reminds me of crypto Twitter last cycle—everyone posting bull market predictions, zero actual buyers.
The paradox:
I love what X could be. A platform for logic-driven adults who value substance.
But the algorithm rewards the opposite.
My proposal:
Diversify leadership. Bring in people who optimize for intellectual depth, not just engagement metrics.
What would YOU change about the algorithm?
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X algorithm clearly is a problem. It values robotic, AI generated, short sentences that rhyme meaninglessly. I almost never find a genuine humanly-written post that goes viral.
Identities are masked, weird names with millions of followers. This hype-stuck, exaggeration-friendly ecosystem is special in many ways, but it’s becoming less and less relatable to the general public.
In my few ads experience, you can see that the composition of X is about 70% young males which is a good thing in this aspect. It is keeping them informed about the world news, economics and innovation. However, it’s not really touching, as importantly, markets such as mid and older age population. I sometimes feel that it is also not touching the consumer market, and it feels like everybody is in innovation mode. It’s exactly what happened with the crypto this cycle, physically everybody’s talking about their prediction of the bull market, but no actual buyers are here. Even the representation of women is ambiguous with a lot having AI generated pictures.
I like X, I think it he has a role in society and maybe it is capturing GenZ very well. However, as an adult that values logic the most I find it hard to consistently use it for a longer time.
Maybe a good idea would be to increase the mean age, intellectual background, and interests of those in charge.
I want X to succeed, otherwise I won’t spend those 10 minutes writing this.
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Not competing for 1M. Just highlighting a gap before others see it. You can read this article today, next year and the year after and compare to new innovations addressing those loopholes.
New jobs and billionaires will emerge out of those concepts.
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