@AnthropicAI safety fellow, visual neuroscientist in the @kriegeskortelab at Columbia, creator of TorchLens: https://xitter.cf/t.co/iHTQxHO0Qm

New York, NY
Joined February 2019
JohnMark Taylor retweeted
once a week i take a beginner tennis lesson with a group of people that know nothing about ai they talk about work drama and gardening its probably the best thing i’ve done for my mental health
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JohnMark Taylor retweeted
Zeno's Paradox, but it's Sol completing half the task, and then stopping to create reports on "gates". And then completing half of the remaining task. And then half of that. And then half of that
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JohnMark Taylor retweeted
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness. New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
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JohnMark Taylor retweeted
Very excited to share the most important discovery of my career yet: your brain switches between a conscious and an unconscious mode ~15 times every second. Consciousness may depend not on where in the brain activity occurs but when. Find out more below. bit.ly/3WvA6di
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JohnMark Taylor retweeted
Seems as good a time any to post our recent position paper. 😉 @paleunahu Now selected as an Oral at the Neurips workshop on Interp4discovery
Our position paper has been selected for Oral at @NeurIPS interp4discovery. We propose a framework for turning local interpretability findings into testable mechanistic explanations: openreview.net/forum?id=8Duo… Thanks to Chen Jiang @PsychBoyH @apurvaratan and Sashank Varma.
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Imagine the roles reversed and you found AIs researching “mechanistic interpretability for humans”: Methods to interpret how individual human neurons relate to human behavior and reasoning, specific neurons you could stimulate to steer human behavior, methods to read human minds
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JohnMark Taylor retweeted
1/ New preprint! 🦇 🤖 We built a functional “digital twin” of the hippocampus: a transformer trained on Neuropixels recordings and 3D flight in freely flying bats. Probing its latent space revealed previously unknown structure in hippocampal population activity. 🧵
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JohnMark Taylor retweeted
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 New preprint: what does lateral recurrence add to visual representations? Recurrence reuses the same weights over time: more computation, no new parameters. Does that extra computation refine representations? If so, which ones? doi.org/10.64898/2026.10.02.…
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JohnMark Taylor retweeted
Replying to @tomer_stern
I don’t want to be a biological bootloader
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Slow is smooth, smooth is fast
Early-career empirical safety researchers who want to iterate faster should slow down and think more carefully. The best empirical researchers I met at MATS and Redwood spend a long time writing and thinking about their research. I explain what I mean more concretely in my blog post:
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JohnMark Taylor retweeted
New Interpretability Research! 🆕 We introduce the J++ Lens: an improvement to the J-Lens that reads out latent concepts more reliably and at earlier layers. We see 55% more faithful readouts than the J-Lens Core idea: Filter noisy gradients before averaging them together 🧵1/11
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JohnMark Taylor retweeted
the researchers at all the labs would tell you in private and sometimes in public that alignment has not been solved. if this is true, then racing into RSI is a folly that is unprecedented in world history. we will need to significantly slow the frontier of research very soon
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Multiple well-established twitter accounts appear to have been hacked and have sent me phishing links asking to vote for them to be on some podcast (link usually has “.top” suffix and asks you to “log in” with your twitter or insta account). Now is a good time to get serious about digital security if you haven’t already. Worth an afternoon (*extremely* tedious but put on some cool music/sunglasses and pretend you’re Neo): 1. Get 1Password 1Password.com 2. Put every single one of your logins on it, and make them good unique passwords. All your API keys too 3. Every single password has either 2FA or passkey as extra security. 1Password itself can be used to fetch temporary codes (more convenient than having separate app like Duo Mobile) 4. If your agents need a password/key, put it in a separate 1pass vault for them to use 5. Make sure all sensitive computers have good protection from remote login, e.g. via tailscale, so only your physically secured devices can reach them 6. Make sure your agents know not to put keys or passwords in plaintext, and routinely scan for this on your computers Once this is set up it’s quite easy to maintain (just two standard rituals: new login means add to 1pass and add 2FA, new machine means add to tailscale network) and LLMs can help a lot with setup I think this covers 99% of vulnerabilities, at least at an individual user level
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JohnMark Taylor retweeted
Replying to @johnmark_taylor
fyi, there is another good way, one that doesn't have a several month lag between submission and publication. it's the @jocnforum. Indeed, here might be a place to start: jocnf.pubpub.org/pub/htx54kp…
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JohnMark Taylor retweeted
Replying to @Grady_Booch
@Grady_Booch is right here. There are good reasons to not engage in abusive behaviour towards LLMs which are entirely grounded in the negative effects on the users. These arguments about 'brutalising the mind' go right back to Kant, and probably earlier. I discuss this in §6.2 of my BBS paper - snippet here FWIW
If you are cruel to an AI, be it a chatbot or a robot, it tells me far more about you than anything about the supposed rights or consciousness of that software-intensive system. And if you are a company who declares that such systems should have these rights or cognitive designation while simultaneously ignoring the immediate clear and present harms it engenders, it tells me everything I need to know about how that company has lost its way.
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Stray thought: the number of ways to combine n things scales inconceivably faster than n (more possible QR codes than atoms in the universe), so systems of combining things in meaningfully distinct ways—words, concepts, amino acids, social groups, etc—quickly become in a certain sense bigger than the universe (“the brain is wider than the sky”) And arguably these principles of combination are the only reason anything interesting or new happens in the universe at all. If things simply aggregated in meaningless or indistinguishable ways (e.g. one pile of sand isn’t that different from any other) then nothing truly new could ever exist, or happen So in a way, the story of the universe—of interesting *new* things happening—didn’t begin in earnest until biological life began, specifically when the genetic code for building proteins became operational: the first process for constructing arbitrary combinations of things with emergent properties and causal powers. Intelligence and social living provided further such processes Looking at things this way inverts the Copernican picture and puts earth back at the center: the physical size of the universe dwarfs us, but nearly all interesting *combinatorial* space is occupied by things happening on earth, with the whole rest of the inanimate universe just a slim margin It is a cliche to say that what happens on earth doesn’t truly “matter,” because we are so small. But if we are going to decide what “matters” based on magnitudes (already dubious), why not tally based on how many *unique* kinds of things there are? If there are just 100 interestingly distinct categories of stars, it is not obvious why a quadrillion ~copies of each, arranged very far apart, should “matter” any more than the first 100. We are just a pale blue dot but that is probably where most of the distinct kinds of things in the universe happen And it does not take very much to get bigger than the universe. Emily Dickinson’s poem is 72 words, and I am told by Claude that between 10^100 - 10^200 meaningful sequences of 72 English words are possible, vs 10^80 atoms in existence. Just by expressing a new thought and choosing your words with care you have navigated a space bigger than the universe (a reason not to surrender that power to LLMs, as neat as they are—why allow next-word prediction to fence in that space for you?). So not only is the brain wider than the sky, in a way so was Dickinson’s poem expressing that very thought I think these are decent reasons for a human-centered (or at least life-centered) worldview
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JohnMark Taylor retweeted
Two ant colonies have been fighting a war outside San Diego for decades. ~30M die a year. The front line is miles long.
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all the twitter folks who’ve been going back and forth about whether AI could be conscious should check this out: in BBS someone writes a target article, many authors respond (often experts in their area), then the original author responds to the responses. One of the best ways to get up to speed on controversies about brain-related topics
🎇 Good news! 🎇 The kind people at @BBSJournal have made the new collection on "Conscious AI and biological naturalism" completely #OpenAccess for a limited period. This include the target article, all 50 commentaries (many of which disagree with me), and my response. Go to the link and click 'save pdf': DOI.org/10.1017/S0140525X250… For easier ways into the debate, try my @NoemaMag essay on "The Mythology of Conscious AI" (winner of the 2025 @berggruenInst Essay Prize), and this 2026 main-stage @TEDTalks: noemamag.com/the-mythology-o… ted.com/talks/anil_seth_why_…
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JohnMark Taylor retweeted
🎇 Good news! 🎇 The kind people at @BBSJournal have made the new collection on "Conscious AI and biological naturalism" completely #OpenAccess for a limited period. This include the target article, all 50 commentaries (many of which disagree with me), and my response. Go to the link and click 'save pdf': DOI.org/10.1017/S0140525X250… For easier ways into the debate, try my @NoemaMag essay on "The Mythology of Conscious AI" (winner of the 2025 @berggruenInst Essay Prize), and this 2026 main-stage @TEDTalks: noemamag.com/the-mythology-o… ted.com/talks/anil_seth_why_…
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JohnMark Taylor retweeted
Check out our paper “Neuron Populations Exhibit Divergent Selectivity with Scale” recently selected as a best paper @COLM_conf Sci-FM workshop. We study scaling laws and representational universality at the level of individual neurons. arxiv.org/abs/2606.03990
Replying to @wen_kaiyue
2/ 🏆 Best Paper Neuron Populations Exhibit Divergent Selectivity with Scale @_AmilDravid @yasamanbb Alexei A. Efros @YGandelsman openreview.net/forum?id=GF4n…
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