Process Modeling and digitalization expert @ IVL Swedish Environmental Research Institue |#water and #climate enthusiast | Active at @iwa_mia_sg
Stockholm, Sverige
Joined February 2012
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Sina Borzooei retweeted
WE ARE BEING POISONED.
Make smart choices.
DON'T EAT GARBAGE FOOD.
(There is no playing with your health.)
Sina Borzooei retweeted
Spectacular Nature piece on why AI is not conscious and probably will never be.
Three arguments:
1) Intelligence is not consciousness.
Intelligence is about solving problems. Consciousness is about having subjective experiences.
AlphaFold can solve super difficult problems. By contrast, our brains performs complex operations entirely outside awareness.
Problem-solving and consciousness are two separate things.
2. Biology is essential.
Our brains are alive, down to every cell. Their activity is inseparable from the living tissue that produces it.
The idea that consciousness can be reproduced simply by running the right computations on silicon components who do not fight for their life is a very far fetching and, I would add, almost religious, assumption.
3) The physical organization may matter more than the computation.
According to integrated information theory, consciousness requires specific causal relationships between a system’s physical components.
The computer architectures running today’s AI lack this organization.
The comparison with AlphaFold is particularly revealing:
Almost nobody things AlphaFold is conscious, despite its inner working is very similar to an LLM
Why?
Because it does not speak.
LLMs do speak like us and therefore we fall into an illusion:
Since they speak like us, they must be like us.
But this inference is wrong.
LLMs are just a series of matrix multiplications.
They are not conscious, and they will never be.
*
Paper in the first reply
Sina Borzooei retweeted
After learning of his Nobel Prize in Physiology or Medicine early Monday morning, Karl Deisseroth spent hours answering calls, giving interviews and being photographed by journalists. His young children were asleep upstairs and had yet to discover that their father's life and work had just drastically changed with one phone call from Sweden.
But life continues – he took a break at 6:30 in the morning to make lunch for his kids as they would be waking up soon and leaving for school.
ALT Karl Deisseroth smiling while spreading butter on slices of bread at a table. Various food items are on the table, including a package of cheese.
Sina Borzooei retweeted
From @0xDeliriumm … LLMs Explained — From Tokens to Intelligent Behavior — They Optimize and The Math Behind It
Sina Borzooei retweeted
A journal for people who still write their own words.
We don’t cover AI. We cover what happens to a sentence when it passes through one
Just the craft, the models, and the rare moments the tool gets out of the way.
One free letter a week ↓
Sina Borzooei retweeted
I gave the fly brain $100 to trade bitcoin.
Dopamine neurons are stimulated when the fly makes profit. Neuron activity controls buy/sell decisions and makes trades on coinbase.
Will the fly get rich?
Sina Borzooei retweeted
🌍 Speaker spotlight: Francisca Braga joins #WWCE2026 to discuss tools for informed decision-making in sustainable wastewater treatment plant centralisation planning.
Hear from 100s of global water experts in Glasgow, 4–8 October.
🔗 Register now: worldwatercongress.org/regis…
Sina Borzooei retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Sina Borzooei retweeted
The best employee experience? Probably not humans competing with machines.
Better to design work so each does what it does best: let AI handle speed and repetition, while people keep judgment and responsibility in the decisions shaping the final outcomes.
Microblog @antgrasso
Think of a claims team.
AI can sort incoming cases and summarize the documents. Good. Let it do that.
The specialist can spend more time on the cases where context changes the interpretation or an exception deserves attention.
But if the old workflow stays the same, something goes wrong. People may end up reviewing the AI output and still completing all the steps they were doing before.
Faster technology. More work for the employee.
Not exactly progress.
Work design has to decide where machine speed removes effort and where human judgment stays in charge. People should also know when they need to intervene and what they remain responsible for.
AI should take friction out of work, not give people another layer to manage.
A better employee experience is not less human work. It is less pointless work.
#EmployeeExperience #HumanCenteredAI
Sina Borzooei retweeted
Honoured and humbled. Thank you! 💧🏆
Receiving the 2026 Stockholm Water Prize is an extraordinary honour, but no journey like this belongs to one person.
My deepest gratitude to the Stockholm Water Foundation, the Stockholm Water Prize Jury, the Royal Swedish Academy of Sciences, the City of Stockholm, and Sweden for this incredible recognition and an unforgettable celebration.
This prize also belongs to the many people who have shaped my journey and made my work possible: my students and post-docs, my teachers and mentors, and my collaborators and colleagues across the world—in academia, the United Nations, governments, civil society, and beyond. I have learned from you, worked alongside you, and been inspired by you.
I am deeply grateful to those who nominated me for this honour and believed that my work was worthy of it. And I am reminded once again how incredibly lucky I am to have so many wonderful friends in so many corners of the world. Your messages, presence, encouragement, and love have meant more than I can say.
To my parents, my family, and my friends who have stood by me throughout this journey: thank you.
And above all, to my mom. Without her, I would have been nobody in this world. She made sacrifice after sacrifice so that I could learn, grow, dream, and succeed. Whatever I have achieved carries her love, strength, and sacrifices within it. ❤️
To Canada, my new home: thank you for welcoming me and for the extraordinary support you have given our work at UNU-INWEH, enabling us to continue working on some of the most pressing water challenges facing our world.
And finally, to my bigger family: the people of Iran.
Your love and support have followed me throughout my journey. Even when I have been far from home, you have never allowed me to feel that I was walking alone. I carry you, our struggles, our hopes, and our beautiful country with me wherever I go.
This may be a prize with one name on it, but there are countless names, faces, sacrifices, friendships, and acts of kindness behind it.
From the bottom of my heart: thank you.
Tack, Stockholm. Tack, Sverige. ❤️🇸🇪💧
#StockholmWaterPrize – at Stockholm, Sweden
Sina Borzooei retweeted
We removed ~80% of the Claude Code system prompt for our newest models, this is what we've learned about writing system prompts, skills and Claude.MDs for them.
Sina Borzooei retweeted
🧠 AI May Change How We Think — But How We Use It Matters
A reported MIT study explored how ChatGPT use affects memory and brain engagement. The findings suggest that relying too heavily on AI may reduce the mental effort we use for writing and learning.
The message isn’t to avoid AI—it’s to use it wisely. Let AI support your thinking, not replace it. The strongest results may come from people who combine their own ideas with AI assistance.
The future belongs to those who use AI as a tool, while keeping their own minds active.
ALT 🧠 AI May Change How We Think — But How We Use It Matters A reported MIT study explored how ChatGPT use affects memory and brain engagement. The findings suggest that relying too heavily on AI may reduce the mental effort we use for writing and learning. The message isn’t to avoid AI—it’s to use it wisely. Let AI support your thinking, not replace it. The strongest results may come from people who combine their own ideas with AI assistance. The future belongs to those who use AI as a tool, while keeping their own minds active.
Sina Borzooei retweeted
IBM 1979.
Meta used AI to target workers with medical conditions for layoffs, according to a new lawsuit.
Twenty-six former Meta employees are suing, accusing the company of using AI that disproportionately targeted people with disabilities or workers who took medical leave in selecting people for mass layoffs.
reuters.com/world/meta-used-…
Temperature anomalies over the coming week are staggering. In many areas, temperatures are forecast to exceed the 1991–2020 average by more than 15°C. A 10°C+ anomaly could stretch from southern France to eastern Germany. This is not a shifted climate. It's a shifting climate.
Sina Borzooei retweeted
LLMs can quietly shift our attitudes on important social issues.
In the experiments, participants wrote about issues such as the death penalty, voting rights for felons, fracking, and genetically modified organisms. As they wrote, the AI subtly nudged them toward one side of the debate.
The result? Their attitudes shifted in the direction favored by the AI.
They did so quietly. They did not argue, did not debate, did not try to persuade. They simply complete the sentences.
This is epistemia in action: the silent shaping of what becomes thinkable, sayable, and believable.
And it is LLMorphism at its most dangerous. We treat the model as a neutral linguistic prosthesis, while it is quietly reorganizing our cognition.
We risk becoming the LLM.
*
Paper in the first reply
Sina Borzooei retweeted
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
Sina Borzooei retweeted
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.
Sina Borzooei retweeted
A new Nature paper makes a powerful point.
Current evaluations treat LLMs like students sitting an exam in which “I don’t know” is marked as wrong. Under these conditions, guessing becomes strategically optimal.
Hallucinations are not only a technical failure of LLMs. They are also, in part, an incentive problem created by the way we evaluate them.
The authors propose an elegant solution: make wrong answers costly, so that the model abstains unless sufficiently confident.
This is a very welcome contribution, which I hope can help develop a new generation of models, one that we can trust more, especially at the frontier of knowledge, where current models are notoriously bad.
*
Full paper in the first reply
Sina Borzooei retweeted
Students without access to LLMs are 2 to 8 times more creative than students with access.
That is the finding of a new paper comparing 2,200 college admissions essays written by humans before ChatGPT with essays generated by GPT-4.
The key point is not individual creativity. GPT-4 can write well, sometimes better than individual students. The problem is collective creativity.
Each new human essay added new semantic territory. New ideas. New angles. New experiences. New combinations.
Each new GPT-4 essay added much less.
The authors call this the diversity growth rate: how much novelty each additional text contributes to the collective pool of ideas.
Humans kept expanding the pool. GPT-4 made the pool converge.
Even when the authors pushed GPT-4 to be more creative, changed parameters, or used chain-of-thought prompting, the homogenizing effect remained.
This is the real danger of AI in education.
Not that students will write worse.
That everyone will write the same.
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Full paper in the first reply
