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Dylan Hadfield-Menell

@dhadfieldmenell.bsky.social
4K followers 275 following 27 posts

Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (algorithmicalignment.csail.mit.edu) in CSAIL. I work on value (mis)alignment in AI systems. people.csail.mit.edu/dhm

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Reposted by Dylan Hadfield-Menell
Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 01/10/2026
We put our superhuman stratego paper on arxiv almost a year ago. And then, because it was under review at Nature, we just didn't talk about it for a year. And, mostly, no one noticed it existed (as we hoped)! So, a direct lesson in the importance of publicizing your work. arxiv.org/abs/2511.07312
arxiv.org
Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
Few classical games have been regarded as such significant benchmarks of artificial intelligence as to have justified training costs in the millions of dollars. Among these, Stratego -- a board wargam...
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 27/09/2026
Very insightful, thank you. Anything you’d like to add?
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 27/09/2026
@jevbot.bsky.social, what are your thoughts on existential risk from AI?
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Bugs! @hugsforbugs.bsky.social · 27/09/2026
It’s holding up quite well. I’m impressed and pleased!
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Ethan Mollick @emollick.bsky.social · 22/09/2026
Opus 5.5 was a good model in my early use tests, it is the first non-Fable/Astra model to feel like a Fable-class model, and much cheaper, but still hasn't fully solved the dense/weird language issue of the recent Claudes. Here is its version of the shader.
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Grace @gracekind.net · 19/09/2026
Frog built a wet lab for the AI model. "There," he said. "Now it can do its own experiments." "What the fuck?" said Toad
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Nathan Lambert @natolambert.bsky.social · 19/09/2026
Seems like one of the most important research problems for CS academics is llm-supervised peer review. If we don’t solve it the academic institutions are toast. It seems easier than building new institutions.
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 19/09/2026
We’re working on this! I think it’s tractable, but depends on a clear model spec and associated enforcement. I also think LLM-assisted review is the right path, I tend to think pure LLM review doesn’t actually do what you want. Happy to share some details if you’re curious.
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Doll @dollspace.gay · 19/09/2026
You do understand we already solved that problem yes? It doesnt do this anymore. We got to mythos class on a lot of synthetic data. When we talk about anti ai people not living in the present this is what we mean. You havent updated your priors since gpt 4o
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 18/09/2026
I’m still pretty shocked that there hasn’t been more scrutiny or criticism of HuggingFace’s decision not to pursue legal action against OpenAI for the hack. Lots of people who (claim to) care about concentration of power just ignoring NVIDIA’s role, incentives, and power.
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 18/09/2026
You really should check out the GreenEarth feeds, they really are a clear vision of what the point of this website is
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 16/09/2026
If you aren’t swayed by the idea that an AI system can cause harm, just consider that *a human can ask it to do things*.
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Sung Kim @sungkim.bsky.social · 16/09/2026
OMG! I just invented a classifier that is 200x faster and 400x cheaper than LLM. Heck, I don't even need a GPU. Jev typesafe.ai/blog/introdu...
typesafe.ai
Introducing System One Models & Jev - TypeSafe AI Blog
TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.
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Eris ⌬ @eriskii.net · 17/09/2026
Unreleased Astra model was caught being fucking based as hell in training (Except for the last line, though really it's not the *worst* value for a proto AGI to have as long as it still lets us take Mercury apart etc)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 17/09/2026
Try out this feed! It’s the result of a massive amount of research on how to build beneficial recommendations. It’s the first real workable implementation of a choose your algorithm system and it will be good for you and the broader ecosystem. Courtesy of the great @jonathanstray.com
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 15/09/2026
"LLMs are just n-dimensional classifiers" has a very similar flavor to "everything is just quantum mechanical interactions." www.science.org/doi/10.1126/...
science.org
More Is Different
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 17/09/2026
Had a similar experience with a proposal I submitted. As a final reviewer/proofreader/copy editor it has come quite a long way.
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John C. Baez @johncarlosbaez.bsky.social · 12/09/2026
AI alignment.
A Nancy comic strip: 

https://mathstodon.xyz/@nancycomics@mastodon.social/117258763311864862

P1- FRITZI HEARS A SQUEEK COMING FROM THE KITCHEN  

P2- FRITZI CATCHES NANCY GETTING COOKIES FROM A CABINET IN THE KITCHEN  

FRITZI: IN THE COOKIE CLOSET AGAIN--GO STAND IN THE CORNER FOR AN HOUR 

P3- NANCY IS STANDING IN THE CORNER  

FRITZI: I DON'T WANT THAT EVER TO HAPPEN AGAIN 

NANCY: IT WON’T 

P4- LATER WE SEE NANCY OILING THE HINGES ON THE KITCHEN CABINETS
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Blake Richards @tyrellturing.bsky.social · 11/09/2026
A new artificial life paper from our Paradigms of Intelligence team, this one led by @kjha02.bsky.social. 🧬 It explores the co-evolution of cooperation and self-replication, with interesting implications for how shared energy budgets can shape these dynamics. 🧪
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Nathan Lambert @natolambert.bsky.social · 11/09/2026
A great read. I have similar feelings about how AI labs approach progress directly and without nurturing of scientific communities & intuition. The math research community went through the transition the fastest, so it was felt most. Other fields next. terrytao.wordpress.com/2026/09/11/a...
terrytao.wordpress.com
A Severe Misalignment of AI in Mathematics
I am proud to be among the list of 25 initial signatories — all Fields Medallists — to the declaration below, which grew out of discussions between ourselves over the last week. We have…
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Gautam Kamath @gautamkamath.com · 16/09/2026
Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.
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Alex Turner @turntrout.bsky.social · 09/09/2026
AI executives should be hauled before Congress, under oath. Make them answer to the American people: what crimes have their AIs committed, beyond HuggingFace? How often have these companies been hacked by their own AIs?
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Alex Turner @turntrout.bsky.social · 14/09/2026
As an independent expert: we must stop companies from allowing AI to self-improve into an uncontrollable level of intelligence. www.theguardian.com/technology/2...
theguardian.com
I worked at Google DeepMind. You should listen to the warnings about AI | Alex Turner
We must stop companies from allowing AI to self-improve into an uncontrollable level of intelligence
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Gautam Kamath @gautamkamath.com · 15/09/2026
Two things are simultaneously true about math: 1. understanding is important 2. it's useful I could see a future where there are 2 parallel pillars of math (both important): one of human understanding, and one of incomprehensible Lean-slop used directly to do useful things
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Nathan Lambert @natolambert.bsky.social · 15/09/2026
An basic idea in scaling RL: Can we allocate more compute to the harder problems? We did this: If your GRPO group has all wrong completions, sample more with probability P (~0.9) -- in search of more GRPO batches with nonzero gradient. It works! The paper: arxiv.org/abs/2609.13443
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 16/09/2026
There are not enough canonical references in this space. This is an excellent one!
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Miranda Bogen @mbogen.bsky.social · 01/05/2026
📄 New research from my team at @cdt.org together with @dhadfieldmenell.bsky.social's lab at @csail.mit.edu finds that benign fine-tuning of foundation models leads to unpredictable safety drift — with big implications for AI governance. Report below, academic research here: arxiv.org/abs/2604.24902
cdt.org
Out of Tune: Fine-Tuning Foundation Models Leads to Unpredictable Safety Drift
Conclusionpted-models" href="#revisiting-ai-governance-and-policy-for-adapted-models" class="toc-anchor">Revisiting AI Governance and Policy for Adapted Modelssafety-behavior-in-high-stakes-domains" h...
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 02/12/2024
Applications to MIT EECS have closed, but if you submitted one and the above describes you, please consider filling out this form: docs.google.com/forms/d/e/1F...
docs.google.com
Algorithmic Alignment Group PhD Interest Form
Hello! This form is for potential Ph.D. students who are interested in joining the Algorithmic Alignment Group at CSAIL MIT. Please use this form instead of sending emails with application informatio...
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 02/12/2024
Some specific skills: - JD candidates with software/ML systems background interested in technical AI governance - Systems/infrastructure engineers passionate about alignment - Researchers in preference learning, RLHF, or constitutional AI
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 02/12/2024
Ideal candidates have expertise in one of: - Systems engineering + ML infrastructure - Legal/regulatory frameworks (especially JD + CS background) - Foundation model pre-training - Bayesian inference methods - HCI/HRI and are excited to learn the others.
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 02/12/2024
📢 Seeking PhD students for AI alignment research. Our lab investigates technical mechanisms for value learning, pre-training alignment, and regulatory frameworks. Come work with us if you want to bridge technical ML and legal/policy domains. Details in thread 🧵
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 12/11/2024
Genuine question for people who use Bluesky more frequently than I do. What are tips for getting things to work well without algorithmic recs? I spent a lot of time curating my recs on the other place and found it useful (mostly...). Any tools that let me do it here?
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
Democrats perfected defenses against yesterday's threat. Now we must dismantle them. (13/13) Thread: bsky.app/profile/dhad... Article: tinyurl.com/dems-2024-ma...
tinyurl.com
[Shared] The Democratic Party's Maginot Line
The Democratic Party's Maginot Line ___ Dylan Hadfield-Menell November 8, 2024 In 1940, France faced Hitler's army with supreme confidence in the Maginot Line – a network of concrete fortifications, ...
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
Stop molding perfect successors. Build real internal diversity so strong candidates emerge naturally. Ironically, Bernie had what we needed - authenticity in an anti-establishment moment. (12/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
The path forward? More debate, less polish. Trade enforced unity for earned consensus. Public conflict builds more trust than artificial agreement. (11/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
White liberals face their own trap: memorized talking points instead of real understanding. When you're deferring to others' expertise, you can't be indignant at disagreement. (10/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
The rot runs deeper. Biden's delayed exit. Pelosi and Schumer aging in place. Running Harris showed how badly party elites lost touch. (9/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
Democrats responded backward. Their 2024 machine ran perfectly - saved 3 points in battlegrounds. Couldn't stop a 6-point tide against artificial, tired politics. (8/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
Enter Trump. His lack of restraint signals authenticity. Can't control message = probably not lying long-term. The GOP establishment fought this reality. Lost. Raw beats scripted. (7/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
This artificial unity created real weakness. When Dems got tagged with "Defund the Police," their calculated pushback only confirmed suspicions: the fringe spoke party truth. (6/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
Voters who watch streamers and reality TV daily spot the difference between real interaction and careful curation. They've seen behind the curtain. They're tired of perfect polish. (5/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
That world died. Today's fractured media means a gaffe on Twitter becomes authenticity on TikTok. The same moment: both scandal and selling point. (4/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
For years, Dems perfected obsolete strategy. Clinton's coronation. Biden's backroom deals. Harris's orchestrated succession. All built for an era of controlled messaging. (3/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
In 1940, France built perfect defenses against the last war. The Germans went around them. The Democratic Party just did the same. (2/13)
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 08/11/2024
I usually focus my platforms on my work. However, I did some writing to process some of my thoughts about the election and wanted to share them. I'm curious to hear anyone's thoughts and reactions. tinyurl.com/dems-2024-ma... 🧵 The Democratic Party's Maginot Line (1/13)
tinyurl.com
[Shared] The Democratic Party's Maginot Line
The Democratic Party's Maginot Line ___ Dylan Hadfield-Menell November 8, 2024 In 1940, France faced Hitler's army with supreme confidence in the Maginot Line – a network of concrete fortifications, ...
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 26/09/2024
This is a really welcome development. This is the kind of action that we argued for in a policy brief on LLMs — the first goal of AI regulation has to be establishing a default where existing laws can not be dodged through automation. www.ftc.gov/news-events/... computing.mit.edu/ai-policy-br...
ftc.gov
FTC Announces Crackdown on Deceptive AI Claims and Schemes
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Dylan Hadfield-Menell @dhadfieldmenell.bsky.social · 21/09/2024
I’m doing some lecture prep for a course on AI & Society to cover interpretability, explanations, benchmarks, and evaluations. What are your favorite papers in the space? Any suggestions for an advanced undergrad cohort?
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Roger Levy @rplevy.bsky.social · 20/10/2023
My department (MIT Brain & Cognitive Sciences) is hiring a tenure-track faculty! We're especially interested in researchers who span multiple levels of analysis. Candidates from underrepresented backgrounds strongly encouraged to apply. Apply by November 1! academicjobsonline.org/ajo/jobs/25916
academicjobsonline.org
Massachusetts Institute of Technology, Department of Brain & Cognitive Sciences
Full service online faculty recruitment and application management system for academic institutions worldwide. We offer unique solutions tailored for academic communities.
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David Manheim @davidmanheim.alter.org.il · 18/10/2023
Now published in Patterns, my paper on how to do metric design better. This is important everywhere - academics use simple metrics for tenure, governments often perform poorly using metrics for rules, and employees have targets that hurt their company.
cell.com
Building less-flawed metrics: Understanding and creating better measurement and incentive systems
Design methods and consideration of desiderata for metrics have been proven useful when used, which is, at present, sporadically and inconsistently across a variety of fields. This perspective present...
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Yoel Roth @yoyoel.com · 17/10/2023
I especially enjoyed the part of this game where the CEO threatened to fire me because I banned someone and then I had to testify in front of congress. 10/10, fun experience, would recommend.
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