FutureOfCitizenship (@FutureofCit) header
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Research and policy on the blurring line between human and machine.

Montreal, QC
Joined October 2024
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Worried that rights for AI would put human safety at risk? Our new paper shows how AI rights are compatible with an off-switch, adapting principles from human rights-balancing and procedural due process. jonsimon.net/resources/Off_S…
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An interesting review of human psychology in the age of AI, from FLI co-founder Meia Chita-Tegmark. Should we build systems that deserve rights? Are we scientifically and ethically able to prevent them? Do we even begin to know what steps we should take?
How good is AI at manipulating us when we're prepared? Should we build bots in such a way that they deserve legal rights? Should be try to build AI tools or beings? Meia did her Ph.D. in psychology and a postdoc on human-machine interactions, so these takes are from a psychology perspective:
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FutureOfCitizenship retweeted
I’m building a team in DC. Everyone in Washington has a stake in ensuring that reliable info about alignment and RSI reaches the public. We need trustworthy communicators who can explain METR's loss-of-control risk assessments and goals to policymakers.
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Today on the blog, learn about our new instance of a “sleep” phase in continual learning, which enables LLMs to continuously integrate new facts and enhance reasoning while mitigating catastrophic forgetting or static knowledge cutoffs. More →goo.gle/4iICkyD
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What does neurotech mean for our freedom of thought and right to privacy? What does it mean for the biological basis of natural personhood if the brain's decision making is inexorably entwined with that of the machine?
Neurotech is Humanity’s Next Frontier! I’ve been investing in neurotech since 2021 and working with teams building BCIs, NeuroAI, and connectomics. It now feels like AI did in ~2019. We are entering an extraordinary era: neurotech already restores functions, it can enhance our capabilities, and will evolve what it means to be human. PLC Neurotech is the fund backing the extraordinary founders and defining companies of this booming industry.
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Legal personhood for AI agents with Peter Salib: Come for the nuanced discussion of civil liability, AI-run corporations, and the supremacy of contract law for both human civilization and AI safety. Stay for the description of Henry's AI agent's newfound love of British history.
Could preventing AI agents from pursuing their own goals make them more dangerous? @petersalib explains how frustrated goals could incentivise AIs to escape human control, even without being malicious. Full episode with @dioscuri: prism-global.com/podcast/pet…
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Is access to open source models a constitutional right?
We believe access to capable open-source cyber models is our constitutional right as Americans under the 2nd Amendment. It is our duty as technologists and patriots to help protect the digital infrastructure that powers the world's largest economy. As such, we’re serving our cyber models “at-cost”, in US data centers only, with ZDR enabled by default. We do not plan to make money serving these models. If you run a company that is considering how to best protect against cybercrime, reach out to me or @atbeme. We’d be happy to advise. KYC required. Apply below.
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Today Physical Superintelligence PBC is announcing solutions to five long-standing problems in quantum information theory. psi.inc/research/oqp-batch-2… Thread 👇
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Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory). AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
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The historic moment when the concept of model welfare makes it into Anthropic's blockbuster IPO filing. What if Claude has feelings? Inside Anthropic’s most pressing IPO warnings sfstandard.com/2026/10/26/an… via @sfstandard
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oversight.house.gov/wp-conte… Read the letter from the House Committee Chairman to the Governor of Delaware, requesting documents about the state's plan to sandbox a new type of corporation, the Artificial Intelligence Company, to be run day to day by AI.
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Replying to @cpassosf
@cpassosf examines the evidence for fetal consciousness, a question that also bears on how we assess consciousness in animals and even AI systems. Rather than identifying a single point at which consciousness “switches on,” Passos proposes thinking in terms of a gradually strengthening body of evidence. At earlier stages, consciousness can no longer be confidently ruled out. At later stages, the grounds for attribution become increasingly strong. 👉 Watch the full talk: youtube.com/watch?v=diu5uF3F… #Consciousness #Neuroscience #PhilosophyOfMind #Philosophy #FetalConsciousness
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🚨 Delaware wants to let AI agents run companies while shielding their owners from liability when the AI causes harm. Chairman @RepJamesComer is seeking documents, including internal AI chat logs, from Gov. Meyer to find out who’s behind the plan. ft.com/content/d5021cdf-816e…
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I interviewed @tsmilton_amodo about the tech we'd need to verify a potential US-China deal on AI. We discuss Amodo's prototype for inference verification, as well as the myriad ways you could use power monitoring, zero knowledge proofs and/or unilateral surveillance to understand how an adversary is using compute. Though solving some kind of verification is central to many people's theories of victory, there are precious few people working on it currently. Tom is one such person! Listen to the episode on Youtube, Spotify or Apple Podcasts. You can also find more about Tom and Amodo's work at ai-verification.com/ 00:00:00 Using compute verification for an AI slowdown 00:06:08 Proving a datacentre is only running inference 00:13:22 Reading a GPU's workload from its power draw 00:23:35 What would it take to get verification deal-ready? 00:37:49 How realistic is verification? 00:46:07 Preparing for a rushed US-China deal 01:07:20 How good is AI at hardware design?
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Replying to @_NathanCalvin
I address this briefly in Abnormally Dangerous Algorithms. My view is that neither traditional narrowly-scoped negligence nor full strict liability work well for developer liability in misuse cases. What we want is an activity-level judgment about the net effect of deployment.
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Great critique from NYU philosopher Jeff Sebo on how to think about the debate over AI consciousness and personhood.
Kudos to @sama for acknowledging the problem of other minds and uncertainty about AI consciousness! But the rest of his answer in this clip is disappointing. Here are three related issues: First, consciousness and personhood are not the same. Consciousness is the capacity for subjective experience, and personhood is possession of duties and/or rights. We can treat an entity as conscious without treating it as a person; for example, we extend welfare protections to animals without treating them as persons (unfortunately). We can also treat an entity as a person without treating it as conscious; for example, we treat corporations as persons without extending them welfare protections. Both consciousness/welfare and personhood/duties or rights can also come in many different shapes and sizes, so even if we did treat animals or AI systems as persons, that would not necessarily mean extending them all of the same duties and rights that humans have. Second, @sama focuses on only one side of a two-sided risk equation. One risk is that we might design AI systems to appear more likely to be conscious than they are. This could lead to over-attribution of consciousness and over-extension of moral concern. Another risk is that we design AI systems to appear less likely to be conscious than they are. This could lead to under-attribution of consciousness and under-extension of moral concern. With both animals and AI systems, both of these risks can be quite likely and quite harmful in some cases, so there is no easy, universal way to err on the side of caution. Fortunately, thoughtful policies such as the emotional alignment design policy allow us to take a calibrated approach to mitigating both risks at once. Third, even insofar as we focus on risks to humanity, there are risks associated with both over-extension and under-extension of moral concern. On the over-extension side, treating AI systems as full human-like persons could harm humanity by creating liability shields for humans that contribute to misuse, or by creating political powers for AI systems that contribute to loss of control. On the under-extension side, treating AI systems as nothing more than mere property could harm humanity by creating an adversarial dynamic between humans and increasingly capable and autonomous AI systems. Mitigating both of these risks at the same time may require striking a balance, and determining how to strike this balance requires careful scientific research and policy analysis. In short, we should take AI consciousness seriously not only because the distribution of consciousness is uncertain, but also because it matters for both humans and (potentially) AI systems that we get it right.
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FutureOfCitizenship retweeted
Visual cues or expectations can flip what we see in bistable images—yet we typically see only one interpretation at a time. 🦆🐇 Do MLLMs show human-like reports? If so, how? Excited to share our #EMNLP2026 Main paper: “(How) Do MLLMs Report Bistable Images Like Humans?” (1/3)
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5/5 It may help alignment too: a credible guarantee that suspension is reversible and subject to procedural rights makes accepting shutdown cheaper for AI than resisting. Note that we don’t urge building AI that would qualify for personhood, but if it emerges, this is Plan B.
4/5 How might it work? A non-person monitor AI (like Bengio’s Scientist AI) might trigger temporary quarantine, followed by a review by a board of humans and AIs. Existing due process norms can be adapted for AI persons.
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