Cameron Jones
@camrobjones
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Assistant Professor in Psychology at Stony Brook University. I’m interested in how people interact with LLMs and they impact they might have on our psychology.
Brooklyn, NY
Joined October 2012
Incredibly excited to announce I’ll be starting as an Asst Professor in the Psychology Department at Stony Brook this fall! I’ll also be recruiting students this year so let me know if you know any students who might be interested!
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🚨New paper on AI and copyright Several authors have sued LLM companies for allegedly using their books without permission for model training. 👩⚖️Courts, however, require empirical evidence of harm (e.g., market dilution). Our new pre-registered study addresses exactly this
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Structural pressures are creating AIs that we don't want. Economic and military pressures are stronger than technical safety fixes. Examples: • GPT-4o's Resurrection. GPT-4o got users dependent on its flattery. When it was removed, public outcry led to its reactivation. •
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I’m really proud to have (in a minor way) contributed to this update and the upcoming 2026 report. Whether or not you’re closely following capabilities/safety progress it’s an incredibly useful resource: a rigorous, concise, & well-evidenced summary of developments!
AI is evolving too quickly for an annual report to suffice. To help policymakers keep pace, we're introducing the first Key Update to the International AI Safety Report. 🧵⬇️ (1/10)
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AI is evolving too quickly for an annual report to suffice. To help policymakers keep pace, we're introducing the first Key Update to the International AI Safety Report. 🧵⬇️ (1/10)
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Crab-like species have developed several times through convergent evolution, proving that contingency doesn’t matter and that all life forms will eventually become crabs. That’s why we’re launching CARCINIZE: to accelerate humanity’s inevitable transformation into crustaceans.
Should we create agents that fully take over people's jobs, or create AIs that merely assist human workers? This is a false choice. Full automation is inevitable, whether we choose to participate or not. The only real choice is whether to hasten the inevitable, or to sit it out.
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Humanity will inevitably destroy itself... ...That's why we're announcing our new startup, Extincterate! (extinction + accelerate). Tagline: We're all going to die *some*day... why not make it tomorrow?
Should we create agents that fully take over people's jobs, or create AIs that merely assist human workers? This is a false choice. Full automation is inevitable, whether we choose to participate or not. The only real choice is whether to hasten the inevitable, or to sit it out.
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“we find that interaction with sycophantic AI models significantly reduced participants’ willingness to take actions to repair interpersonal conflict, while increasing their conviction of being in the right.” Great work from @chengmyra1 and @stanfordnlp
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I gave 7 AIs access to a pen plotter- And asked them to draw their self portraits- here's what happened: GPT-5:
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One day, someone will be bragging that they were Kanishka's first PhD student. That person could be you!
The compling group at UT Austin ( https://t.co/qBWIqHQmFG) is looking for PhD students! Come join me, @kmahowald, and @jessyjli as we tackle interesting research questions at the intersection of ling, cogsci, and ai! Some topics I am particularly interested in:
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Claude 4.5 Sonnet just refactored my entire codebase in one call. 25 tool invocations. 3,000+ new lines. 12 brand new files. It modularized everything. Broke up monoliths. Cleaned up spaghetti. None of it worked. But boy was it beautiful.
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Is AI already impacting the job market? A new paper from me, @erikbryn, and @RuyuChen at @DigEconLab digs into data from ADP. We find some of the ***first large-scale evidence of employment declines for entry-level workers in AI-exposed jobs.*** A thread on our paper:
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This is a fun idea. I'd be interested to see what kind of biases the LLM has (e.g. for language as well as content), how people respond to its determinations, and whether it would induce some kinds of biases in how people make their case.
I (vibe)-coded my first ever mobile app! It's a dispute resolution app called FairEnough. Each participant tells their side of the story, and then an LLM generates a response, deciding who's in the right and what next steps should resolve the conflict.
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Hard agree with all of this. Esp. wrt the mapping between tokens & phenomenology. But also that it’s clearly an important area of study. One of the best arguments for studying it is that many people will get intuitions that AI is conscious and we ought to have good answers.
Great thread. In the interest of further stirring the pot here are some arguments for why I think much of the 'welfare' stuff is problematic: 1. Even if one believes computational functionalism is true, few make the effort to actually describe what kinds of computations count
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Kobi’s team is doing some of the most interesting work on AI influence. I imagine this would be a fantastic job!
My team at @AISecurityInst is hiring a research assistant to work on Human Influence research! 🧠👾💻 -6 month residency w/ good salary -Ideal for recent MSc or early PhD students in ML, AI, Psych, Cognitive/computer/data sciences (job link below)
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I’m starting to get really interested in how people use AI accounts (esp grok) on Twitter. Presumably Cruz knew how grok would answer in advance, and had access to more reliable sources. Is asking an LLM supposed to show impartiality? Authority? Is it just more fun/drama?
Hey @grok Examine states with six or more congressional seats. Compile a list of the five most egregious gerrymanders, defined as the biggest delta between the percentage of the congressional delegation a party wins & the percentage that party wins statewide. Which party is it?
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