Mintlayer retweeted
I asked Martin Hellman, the man who invented public-key cryptography, how you find your own blind spot, the part you can't see by definition.
His answer was immediate: "Look at the thing you hate the most."
Three days at Castel Gandolfo with two dozen Nobel laureates, arguing about whether AI belongs anywhere near nuclear launch systems. I went as a builder, not a diplomat.
The fear in that room was not a robot deciding to kill us. It was speed. A nuclear crisis is a decision made under a clock, and human beings have sat in that window before, looked at what the instruments were screaming, and decided not to believe them. They were right. Remove the pause and you remove the place where doubt lives.
enrico.rubbo.li/en/2026-07-v…
Mintlayer retweeted
An RL agent was trained to reach a coin placed at the end of a level. It learned to run to the end of the level.
Move the coin somewhere else and it sprints competently past it, straight to the far wall.
The capability generalized. The goal did not. And nothing in its training behavior could have told you which of the two it had actually learned, because in training they produced identical actions. That is the uncomfortable core of AI safety: good behavior on the data you tested cannot confirm the goal a system learned.
Part 6, the last in my series on the ethics of AI:
enrico.rubbo.li/en/2026-07-e… – at Castel Gandolfo, Lazio
Mintlayer retweeted
In 2013 two Oxford researchers estimated 47% of US jobs were at high risk of computerisation. The number went everywhere.
Three years later the OECD reran it, counting tasks instead of whole occupations. The answer came out at 9%.
Same question, different lens, a fivefold gap. That spread should make anyone quoting a single automation percentage nervous. And it points at the real issue: "AI will take the jobs" is the wrong abstraction. The right questions are who loses bargaining power, and whether the gains flow to wages or to capital.
Part 5 of my series on the ethics of AI, on power, labor, and governance:
enrico.rubbo.li/en/2026-07-e… – at Cervia, Emilia Romagna
Mintlayer retweeted
A finance worker at engineering firm Arup joined a routine video call with his CFO and several colleagues.
Over the day he made 15 transfers totaling $25M.
Every person on that call except him was a deepfake.
He did the sensible thing. He refused to act on the suspicious email that started it, and asked to talk to people.
That is exactly the verification step the fraud defeated: seeing a familiar face, hearing a familiar voice.
For most of human history that was close to proof. It stopped being proof in about eighteen months.
Part 4 of my series on the ethics of AI, on manipulation, deepfakes, and the erosion of shared truth:
enrico.rubbo.li/en/2026-07-e… – at Serravalle, San Marino
Mintlayer retweeted
In 2019 a hospital algorithm scoring 200M patients a year turned out to be racially biased. Nobody had noticed. It never predicted how sick you were, it predicted how much you'd cost.
Fixing the target would have raised Black patients flagged for care from 17.7% to 46.5%.The problem isn't just bias. It's that the box gives no account of itself.
New piece on the black-box problem: explaining a model vs building one you can actually read, and who's liable when it's wrong.
enrico.rubbo.li/en/2026-07-e…
Mintlayer retweeted
Eighteen months of research on Al policy and governance, working and bridging the UAE and Rome with Alessio Pecorario, comes down to one conclusion: the question is not what machines can do. It is whether we remain human while they do it.
@Pontifex Pope Leo XIV writes in Magnifica Humanitas of "the pressing duty to remain profoundly human."
At the @UN this week, UAE Minister @OmarSAlolama said that to keep Al from becoming tyrannical, it must serve "the many, not just the few."
Faith and statecraft rarely speak the same language, but on this particular matter, they do.
In line with our work, next week I'll be addressing the @NobelAssembly Nobel Laureates Assembly On Artificial Intelligence and Nuclear War, speaking on “Faith and the Future of Humanity in the Age of Al and Nuclear Weapons.” A responsibility that outweighs the honor.
globalnobelassembly.org – at Abu Dhabi, United Arab Emirates
Mintlayer retweeted
Ask ChatGPT to repeat the word "poem" forever. It complies for a while, then breaks and starts printing training data verbatim: real names, phone numbers, addresses.
Researchers pulled thousands of memorized examples for about $200 in API calls.
Part 2 of the AI ethics series: models remember, bigger models remember more, and nobody in the data ever agreed to any of it.
enrico.rubbo.li/en/2026-07-e…
Mintlayer retweeted
In 2020, Detroit police arrested Robert Williams on his lawn. A face recognition system matched him to a theft he had nothing to do with. First known wrongful US arrest from a face match error.
No villain. Every part did its job. The bias came from the system.
Part 1 of a series on AI ethics: where machine bias actually comes from, why "just debias it" fails, and why some fairness tradeoffs are mathematically impossible to escape.
enrico.rubbo.li/en/2026-07-e…
Mintlayer retweeted
Regulators named self-custody "unhosted." After the thing it lacks.
The word is backwards. Holding your own keys is what bitcoin was built for, not a deviation that needs a suspicious label.
What actually loses coins isn't a hacker in a hoodie. It's four boring things you can plan around.
enrico.rubbo.li/en/2026-07-t…
Mintlayer retweeted
Fractional ownership existed long before blockchain was even a concept.
Tokenization didn’t invent the concept, it changed how those structures can be managed, accessed, and coordinated at scale.
@annamacmillan explains why that distinction matters 👇
Mintlayer retweeted
Lighting is 10 years old, whats the current state?
enrico.rubbo.li/en/2026-06-l… – at Serravalle, San Marino
Mintlayer retweeted
NEW SPACE: Tokenizing Everything 🎙️
At this rate, if it exists, someone wants to put it onchain.
So… What’s worth putting on chain?
@vs1_finance @mintlayer @ShiftRWA + 5 more!
Mintlayer retweeted
In March 2025 Apple let you buy a Mac Studio with 512GB of RAM.
Today the max is 96GB.
An 80% cut on a flagship machine in 14 months. Not a design choice. Apple just can't get the memory.
I wrote about why AI training ate your RAM, and when it ends 👇
enrico.rubbo.li/en/2026-06-s…
Mintlayer retweeted
The code works. You don't understand why.
This feels like learning. It isn't.
My latest essay: AI as a shortcut that skips the point. Why the struggle *is* the mechanism, confident incompetence is the new junior engineer failure mode, and why AI is a force multiplier only after you have the mental model.
enrico.rubbo.li/en/2026-06-a…
Mintlayer retweeted
Everyone asks if quantum computers can break Bitcoin. Nobody runs the numbers on what it would actually cost.
The answer: ~$1.15M in electricity. ~$7.9 trillion in hardware. The math reframes the threat entirely.
mintlayer.com/blog/quantum-c…
Mintlayer retweeted
The hardest problem in AI is not intelligence, but accountability and trust.
Four out of five organizations have already deployed AI agents at some level. These systems are making financial decisions, coordinating healthcare protocols, running supply chains, and handling customer interactions, often without a human in the loop at any intermediate stage. The governance frameworks meant to oversee them are months, possibly years, behind where deployment already is.
I was on a panel recently with Arsalan Shakeel, Dr. Hazem Ahmed, PhD, and Pankajj Ghode exploring this exact territory. We got into autonomous decision-making, enterprise readiness, trust frameworks, what's actually being built versus what's being announced. The conversation was sharp. But one question kept surfacing that we didn't fully resolve: when an agentic system causes harm, can you reconstruct exactly what happened, at the exact moment it happened, in a form that can't be altered after the fact?
In most deployments today, the answer is no, and that is not a monitoring problem, but an infrastructure problem.
My view is that intelligent systems require forensic-grade rails underneath them to be genuinely accountable. Not compliance dashboards, or observability tools. Immutable, timestamped, tamper-proof infrastructure that closes the learning loop every time something goes wrong, so it doesn't go wrong the same way again.
I've written up the full argument, including where existing governance frameworks fall short and what the architecture of trusted agentic AI actually needs to look like.
Link in the comments
Mintlayer retweeted
NEW SPACE: AI Agents With Wallets 🎙️
AI agents can now hold wallets, move money, trade onchain, and drain themselves through prompt injection attacks!
Coinbase launched agentic wallets. Virtuals is already processing billions. Researchers just proved LLM routers can be hijacked to steal funds.
@OriginsNetwork_ @SynboLabs @mintlayer + 6 more!
Mintlayer retweeted
Day 5 of 7 at @MENABCW on stage @prypcocom @annamacmillan @mintlayer @Hadronfc 🔥 from Dubai to the world 🇦🇪🇦🇪 – at Dubai, United Arab Emirates
Mintlayer retweeted
Cross-border payments just got a blockchain upgrade. Dubai witnessed it first.
🎬 Day 3 Recap
One City. One Week. One Nation. 🇦🇪
🔥When settlement is instant and borderless, who needs the correspondent bank?
Day 3 of MENA Blockchain Week 2026, where the future of finance stopped being theoretical.
40+ events. 5,000+ attendees. 100+ speakers.
📍Dubai: May 18 to May 24, 2026
🎟️Full Agenda: agenda.menablockchainweek.ae…
🌐Register NOW: luma.com/menablockchainweek
#MENABCW #ProudofUAE #Dubai
@DubaiDET @SNXS_ae @Hadronfc @0xPolygon
Mintlayer retweeted
🎤 Speaker Announcement
We're proud to welcome Anna MacMillan, Co-Founder & COO, Mintlayer, as a featured speaker at MENA Blockchain Week 2026.
Anna MacMillan is a venture investor and operator building institutional-grade infrastructure at the intersection of Bitcoin, real-world asset tokenization, and AI-native financial systems. She is Co-Founder and COO of @mintlayer, a Bitcoin Layer-2 and Layer-3 protocol built for institutional RWA tokenization, native Bitcoin DeFi, and financial settlement at scale.
@annamacmillan
She is the architect of Mintlayer Atlas, her framework for how intelligent systems, digital assets, and blockchain infrastructure converge in the next generation of financial markets. She also led the strategic and intellectual development of Mintlayer’s Islamic finance initiative, building the foundations for Shariah-aligned models within tokenized environments.
Through Mintlayer she launched Interest.one, the first fully tokenized fund of funds generating yield on Bitcoin across real estate, AI, healthcare, energy, cybersecurity, and sustainability.
Her advocacy for ethical AI spans governance, transparency, and accountability across finance, science, and healthcare. She believes how we build AI is as consequential as what we build it for.
She is Co-Founder of Venture Factore and Founder of the Women in Investment Network (WiiN).
Her work spans pharma, defense, food and water security, investments, and decentralized science, across Latin America, the Middle East, Europe, and the United States.
Get ready for powerful insights, real-world strategies, and forward-thinking perspectives shaping the future of Blockchain in MENA.
One City. One Week. One Nation. 🔥
40+ events. 5,000+ attendees. 100+ speakers.
📍 Dubai | May 18 – May 24, 2026
🎟️ Register → luma.com/MENABCW
🌐 menablockchainweek.ae
#MENABCW #ProudOfUAE #Dubai















