
HAII & CogSci Professional | Researcher | Head of Product & AI @DASHDOCK | Speaker
Düsseldorf, Germany
Joined November 2010
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Karine Gromada retweeted
Meta’s Muse is blocked at Schwab. Its CEO asks who’s liable if an agent moves money. When an AI agent makes a mistake, causes financial harm, exposes private information or breaks the law, who's responsible?
The answer isn't complicated. AI agents aren't legal persons. They're software created, configured, authorised and deployed by people and companies.
US law has recognised autonomous software since 2000. The federal E-SIGN Act explicitly defines an "electronic agent" as software capable of acting without human approval at the time of each action. The law recognises transactions conducted through automated systems.
If a company gives an AI agent access to confidential information, financial accounts or computer systems, that company remains responsible for the decisions it made about access, permissions, security controls and supervision. Whether it must compensate someone depends on the applicable law, contracts and circumstances.
If an agent transfers money without authorisation, accesses confidential records or attacks another company's infrastructure, investigators should examine who configured it, what instructions it received, what permissions it had, who authorised those permissions and what its activity logs show.
Schwab can't blame an agent for acting independently, any more than they can blame an Excel macro.
The difference between an AI agent making a mistake and a company being legally liable for that mistake is important. But neither changes who's responsible for deploying the software.
Even Meta’s Muse gets blocked at Schwab. Its CEO asks who’s liable if an agent moves money. JPMorgan is drawing the same line. thenextweb.com/news/schwab-b…
This. Heute nach meiner Keynote sagte eine Frau zu mir - vielen Dank, Sie haben mir das Gefühl der Ohnmacht genommen. Wie verkommen sind wir in der KI Kommunikation, dass wir sowas hinnehmen.
Replying to @BachFrancis
(1/7) I'd like to provide some additional context for the remarks that can be found in this interview.
(2/7) My discomfort with the attention being paid to existential risk---and with the ongoing dominance of the public discussion of such risks by a few so-called thought leaders---is that there's an elephant in the room that is being missed. That elephant is the effect of all of this discussion on young people, and indeed the effect---beginning with social media a decade ago---of information technology on young lives broadly speaking.
(3/7) I recently read an interview by Jill Lepore in which she reports on discussions that she had recently with a group of college students: "They had just three things to say. One, social media completely destroyed their childhoods. Two, AI is destroying their college education and their likely prospects for employment. And three, what the hell are we all doing?" To add a fourth bullet that I've heard in similar discussions: "I'm not going to have children, because the existential risk is just too high."
(4/7) Please contemplate such a statement, those of you who think that it's OK that the public, widely diffused, discussion coming from seemingly authoritative figures is so adamant about existential risk.
(5/7) Let me add that I have little interest in a debate about what "superintelligence" might mean, or whether we're currently seeing the emergence of superintelligence. For what it's worth, I would certainly agree that the solution of extremely challenging math problems (for example) exhibits a very impressive form of intelligence, although I would want to argue that such intelligence is impossible to dissociate from the collective of humans that provided data to the machine learning system (which itself has become a kind of collective).
(6/7) Such philosophical debates are entertaining and even important, but when they then head in the direction of "when such superintelligence emerges, there's a good chance that it will want to kill all humans", I say "science fiction". Again, I don't think that it's bad to consider such thoughts, but I strongly believe that it's bad for society, and especially young people, for such thoughts, unaccompanied by any serious real-world analysis, to become a dominant form of discourse of the era.
(7/7) We are damaging human lives, and the consequences of that damage will no doubt be a major theme of the next several decades.
🤝🏻
What if the jagged frontier is mainly math + code (which you can push arbitrarily far with RLVR), and everything else starts to plateau because it is still bottlenecked by human generated data?
Model performance in non-verifiable areas has kept improving steadily, albeit much slower than for math and code. But is that steady improvement a side effect of a higher G (itself driven by RLVR), or only a function of the amount of new human data getting injected into training (which is still continually happening on a massive scale)?
A lot of things depend on the answer to this question
Karine Gromada retweeted
When I did my PhD in computational neuroscience a long time ago, optogenetics was the new thing. It honestly looked like magic.
You could shine light on a neuron and switch it on or off. Turn memories on. Turn memories off. Map emotion and behavior cell by cell, in a living brain. It transformed the field almost overnight.
Today, its pioneers, Karl Deisseroth, Peter Hegemann and Georg Nagel, won the Nobel Prize in Medicine.
And it all started with a simple question: how does a single-celled alga swim toward light?
This is why we fund basic research 💪
BREAKING NEWS
The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
Happy to report at least in Germany the soul discussion has not caught on.
Back to electronic person discussion? Wprking and researching for too long in any specific area is at some point having déjà vu daily.
NEW: Dario Amodei has said that AI systems "may be deserving of important rights." Anthropic's top safety researchers argue AI may be "justified in going rogue." Experts at Google and OpenAI worry about a digital "slave trade." So do some government officials.
Once relegated to science fiction, the idea of "AI welfare" has become shockingly mainstream at some of the most powerful companies in the world. It is changing the way AI research is conducted and the way models are programmed. And critics say these changes have raised the odds of all kinds of catastrophic scenarios—including the ones these companies are warning about.
I spent months investigating the frontier labs and AI "safety" experts seeking to regulate AI. What I found was a profoundly anti-human ideology that would alarm the average citizen and could determine the future of a world-altering technology.🧵
freebeacon.com/america/suici…
Karine Gromada retweeted
All fields? Hardly. As I have often pointed out, the only AI that works well today is AI in the virtual world behind the screen, for example for automatically summarizing documents, playing chess, proving theorems, creating images, programs and PowerPoint slides. But there is no AI-controlled robot that can do what a plumber can do, or what a capuchin monkey can do, because the physical world is much more demanding than the world behind the screen. Passing the Turing Test is much easier than True AI or Real AI in the physical world. Hence the Turing Test is not a good way of measuring intelligence. To achieve True AI, AI software research per se is not enough, it has to be combined with the physical world of machines and robots. No AGI without mastery of the real world!
Taken from Sec. 20 of the "Annotated History of Modern AI and Deep Learning" xitter.cf/SchmidhuberAI/status/1…
Machine learning is the science of credit assignment. My new survey (also under arXiv:2212.11279) credits the pioneers of deep learning and modern AI (supplementing my award-winning 2015 deep learning survey): people.idsia.ch/~juergen/dee… P.S. Happy Holidays!
Karine Gromada retweeted
I think this preprint title reveals a lot about Anthropic's approach to science.
Scientific paper titles basically never mention the tools used to make the discoveries they report. The focus is on what was discovered.
For example:
- "A Structure for Deoxyribose Nucleic Acid" (Watson & Crick)
- "Streptomycin, a Substance Exhibiting Antibiotic Activity against Gram-Positive and Gram-Negative Bacteria" (Waksman)
- "A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity" (Doudna & Charpentier)
- "Design of a Novel Globular Protein Fold with Atomic-Level Accuracy" (Baker)
In each of these, the discovery / key deliverable is front and center. The machines, methods, and people used to make that discovery do not get mentioned because they're not the point. The discovery is what matters.
Yet, here, Anthropic chose to title their preprint "Autonomous AI agents discover reverse transcriptases with tandem repeat arrays."
That's not a scientific paper title: that is a headline.
It puts the discovery secondary to the fact that "Autonomous AI agents" made it. If they were serious about putting science first, the fact that AI agents found a new enzyme would be no more important than if Taylor Swift did.
This choice gives the game away. Though this is dressed-up as a scientific paper, it is not. It is a press release.
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
The thing is - if you verify (which I do, too), productivity gains suddenly are not that magical anymore. Still there, but well…
To me the biggest risk of AI is brain rot.
I have more and more situations like this. Some coworker shares a report on something they did. I read, and find something fishy. I ask about and get no answer. I ask again and I'm told: the agent said that. And no follow up. It's clear form the interaction that they did not read the report they shared. Their brain is not used as it should be.
I am not against AI at all (fortunate for something working at NVIDIA). I use AI a lot.
But I use it as a tool. I own the result and whenever I see something fishy I ask about its output I force a change if I am not convinced.
I wish there was a way to force people to read the AI output they share with others.
Karine Gromada retweeted
"People built the test, removed restraints, defined the objective, left a route open and decided not to stop what was happening. Calling the result 'rogue AI' does more than sensationalize it. It allows those human decisions to disappear quietly from the story."
Gift link:
The Hugging Face Hack Wasn’t What It Was Cracked Up to Be
wsj.com/opinion/the-hugging-…
Karine Gromada retweeted
The problem with Big Tech’s Frankenstein stories about rogue AI agents is that they distract from the responsibility of the doctor.
Good piece by @agarzon (economist and former minister in Spain)
The people warning that a technology may endanger humanity are, at the same time, the ones with the greatest financial incentive to keep developing it.
agarzon.substack.com/p/have-…
„What the hell“ is the only reasonable reaction to current clickbait.
All these crybaby AI scientists who resign because they are afraid to build the true AI, what was your goal exactly when you joined academia?
Did you publish your research by crossing fingers behind your back or did you really want to build this true AI?
Or building the AI was convenient while it advanced your career and brought seven figure wages?
I know, too many questions, so I will reduce them to one : What the hell?
Karine Gromada retweeted
You’re seriously telling me you believe AI workers with access to super secret dangerous tech have no NDA in their contract and the reaction to them accusing their former employer of risking the future of humanity is the CEO saying “yeah we should slow down”? Bc they “care”? Lmao
Karine Gromada retweeted
This is a fascinating report, but it raises a lot of questions that I'm not seeing anyone asking. For example:
1) how many users were aware that Anthropic is tracking de-anonymized requests to Claude and linking them to IRL identities? And apparently has access to account relationship data, geographic/network signals, and external intelligence? This is just privatized surveillance. (If you think they're only doing this for "misuses" of the product... lol).
2) how is anyone comfortable with Anthropic being judge, jury, and executioner when it comes to "misuse of AI?" They are defining what it means, deciding on the methods to identify it, controlling the entire monitoring and moderation pipeline, identifying accounts that engage in it, and taking action against said accounts — all in private, with little to no transparency and without revealing any info about things like how they're making sure they don't misidentify people or take punitive actions against innocent account holders (nor how or if users can appeal such a wrongful action), or what the denominators are (in relation to the figures they cite in the report). There is no way for outside/independent researchers to audit this process.
If you apply reverse engineering (ie, ask yourself: what must Anthropic be able to see to know what it claims to know?), the answers are every bit as alarming as what's in the report, but at least the bad actors in the report are being monitored instead of shielded from scrutiny.
We're publishing our most detailed threat intelligence report to date.
It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.
We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.
These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.
We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.
Read the report: anthropic.com/threat-intelli…
Karine Gromada retweeted
Aside of all the attribution drama and pissing off the top of the top mathematicians, spending ~$10 mln in compute to solve a problem worth $1 mln encapsulates perfectly the new economics of AI.
Karine Gromada retweeted
Please, please, go to an IPO already. I will not stand it much longer 😬
Breaking News: Anthropic said it halted potential plots by scientists who used its A.I. models to do research that could have helped develop biological weapons. nyti.ms/3V3epAE

































