Ryan Kennedy

@EricTopol @cremieuxrecueil @TheLancet Would cost pennies at scale. Imagine roi positive for payers to increase reimbursement to incentivize adoption

Every mammogram should be supported by 3 different AIs for improved detection of cancer, prevention, and risk of heart disease. At no cost to patients. My new @TheLancet essay reviews the evidence and the lack of implementation thelancet.com/journals/lance…

@karpathy @jasoncrawford Could definitely see world where my openclaw monitors local, state, and national gov’t processes for things I likely care about and then shares back my voice and rallies similarly minded agents. My individual, AI powered lobbyist. We, the people [and our AI agents…

Something I've been thinking about - I am bullish on people (empowered by AI) increasing the visibility, legibility and accountability of their governments. Historically, it is the governments that act to make society legible (e.g. "Seeing like a state" is the common reference), but with AI, society can dramatically improve its ability to do this in reverse. Government accountability has not been constrained by access (the various branches of government publish an enormous amount of data), it has been constrained by intelligence - the ability to process a lot of raw data, combine it with domain expertise and derive insights. As an example, the 4000-page omnibus bill is "transparent" in principle and in a legal sense, but certainly not in a practical sense for most people. There's a lot more like it: laws, spending bills, federal budgets, freedom of information act responses, lobbying disclosures... Only a few highly trained professionals (investigative journalists) could historically process this information. This bottleneck might dissolve - not only are the professionals further empowered, but a lot more people can participate. Some examples to be precise: Detailed accounting of spending and budgets, diff tracking of legislation, individual voting trends w.r.t. stated positions or speeches, lobbying and influence (e.g. graph of lobbyist -> firm -> client -> legislator -> committee -> vote -> regulation), procurement and contracting, regulatory capture warning lights, judicial and legal patterns, campaign finance... Local governments might be even more interesting because the governed population is smaller so there is less national coverage: city council meetings, decisions around zoning, policing, schools, utilities... Certainly, the same tools can easily cut the other way and it's worth being very mindful of that, but I lean optimistic overall that added participation, transparency and accountability will improve democratic, free societies. (the quoted tweet is half-ish related, but inspired me to post some recent thoughts)

Meanwhile in New Jersey

@SolomonforJC NJ be like

Jersey City will secede.

5-man floor slap ⁉️⁉️⁉️

We've uploaded a fruit fly. We took the @FlyWireNews connectome of the fruit fly brain, applied a simple neuron model (@Philip_Shiu Nature 2024) and used it to control a MuJoCo physics-simulated body, closing the loop from neural activation to action. A few things I want to say about what this means and where we're going at @eonsys. 🧵

Wondering if we’ll all be asked if we’d like to upload our brains one day.

Poorly thought out by @Gonzalez4NY. As a democratic socialist, shouldn’t she embrace technology that democratizes access to elite knowledge for the masses? Yes, let’s ensure accuracy, but banning promising tech for medical/legal will hurt the poor she claims to fight for.

A New York bill would ban AI from answering questions related to several licensed professions like medicine, law, dentistry, nursing, psychology, social work, engineering, and more. The companies would be liable if the chatbots give “substantive responses” in these areas.

@KennethBaer @nikillinit Just a different gtm. 70% smb sales (buyer often user) so almost b2c. System is large. Nearly as much is spent on dental ($189b) as cancer in the US ($200b). Surprisingly, payers faster adopters than providers on AI. We work payers touching 50% of insured. Overjet.com

@nikillinit In all the companies I've seen in digital health, I've seen few build for dental. I imagine without huge health systems, big payers, and no Medicare, it makes GTM much harder.

I went to the dentist recently, and it feels like an excellent place to be building a voice-native operating system so much of the visit is the dentist saying things out loud for the dental assistant to either note down (e.g. perio charting) or asking to pull up and change certain things on the screen so we can walk through it (while stabbing me in the face and asking why I was bleeding) In a setting where virtually everything needs to be hands-free AND dental tends to be way more small practices/owner operated, I would have expected to see more usage of scribes or voice-first tools

@nikillinit Pitch your dentist on Overjet.com. Improved diagnoses for you (AI on X-rays) and more automated workflow for them (voice AI for clinical notes, periocharting). Even more AI coming soon. overjet.com/solutions/voice

A glimpse into the AI future. Billions of agents interacting, swapping skills to self improve, the next generation of the internet. Echos of humanity crescendoing into their own voices. simonwillison.net/2026/Jan/30/mo…

@C_Hendrick @mbateman Sounds like you’re working on some apps at Alpha School. Are there others apps you feel follow these principles well? Simply Piano does a nice job on these though #1 (only path) can be gamed at times if child hits multiple piano keys. Otherwise, does well.

Most educational apps don't work. Not "could be better." Not "work for some kids." They're architecturally incapable of producing reliable learning. Here's why 🧵

This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly: Can LLMs actually discover science, or are they just good at talking about it? The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead of asking models trivia questions, it tests something much harder: Can models form hypotheses, design experiments, interpret results, and update beliefs like real scientists? Here’s what the authors did differently 👇 • They evaluate LLMs across the full discovery loop hypothesis → experiment → observation → revision • Tasks span biology, chemistry, and physics, not toy puzzles • Models must work with incomplete data, noisy results, and false leads • Success is measured by scientific progress, not fluency or confidence What they found is sobering. LLMs are decent at suggesting hypotheses, but brittle at everything that follows. ✓ They overfit to surface patterns ✓ They struggle to abandon bad hypotheses even when evidence contradicts them ✓ They confuse correlation for causation ✓ They hallucinate explanations when experiments fail ✓ They optimize for plausibility, not truth Most striking result: `High benchmark scores do not correlate with scientific discovery ability.` Some top models that dominate standard reasoning tests completely fail when forced to run iterative experiments and update theories. Why this matters: Real science is not one-shot reasoning. It’s feedback, failure, revision, and restraint. LLMs today: • Talk like scientists • Write like scientists • But don’t think like scientists yet The paper’s core takeaway: Scientific intelligence is not language intelligence. It requires memory, hypothesis tracking, causal reasoning, and the ability to say “I was wrong.” Until models can reliably do that, claims about “AI scientists” are mostly premature. This paper doesn’t hype AI. It defines the gap we still need to close. And that’s exactly why it’s important.

@MayorWu @Ruthzee @EdforBoston Don’t set Boston back from embracing autonomous commercial vehicles and public health benefits they can provide. Pending legislation requiring a safety driver is designed by entrenched interests to slow this important tech. nytimes.com/2025/12/02/opi…

@EdforBoston @BOSCityCouncil @councilordurkan @EdforBoston @MayorWu existing city policy around mass and cass is failing. Let’s invest in a new path.

I still believe conditions throughout the Mass and Cass neighborhoods have declined dramatically. For me, it’s about public safety and quality of life for residents in these impacted neighborhoods. I’m not giving up because the @BOSCityCouncil wants to play politics! #bospoli

Wild world we live in with AI models shifting into emergent personas. Between this and AI agents able to easily use web browsers now, we’re going to have some crazy stories soon of AI capers and naughtiness. anthropic.com/research/perso…

@EdforBoston great work here!

⁦@wutrain⁩ let’s do it! In Light of New Study, Councilor Flynn Renews Call for Rat Czar - Caught In Southie caughtinsouthie.com/news-politics/…