#GAAD (Global Accessibility Awareness Day) with a 200M+ social media reach AIMAC, an AI benchmark for A11y @A11yGenAI my podcast @a11yaudits
Henderson, NV
Joined February 2009
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I'm excited to announce that The White House will be doing a Global Accessibility Awareness Day (#GAAD) Event and Town Hall tomorrow at 10AM EST.
Links to Livestream and Access Streamtext in the comments.
Thanks @WhiteHouseOPE46!
From blog post to The White House. 🤯
Wow what a crazy story. LLMs + robot + mouse + brain surgery. Gabriel is calling this procedure a lab in the loop.
Account Followed.
Last night an AI agent performed brain surgery on a mouse.
We gave it 19 gene therapy vectors in a spreadsheet, a mouse model of epilepsy, access to a motorize surgery rig with cameras and one goal: reduce seizures.
It picked the drug. It picked the brain region. It derived the coordinates from three papers. Then it drove the stereotaxic arms into the brain and injected 250 nanolitres while watching the entry site through the rig camera for bleeding.
A licensed vet gated every irreversible step and held a physical kill switch to stop the AI agent.
Thread on what it decided, what it saw, and the moment it refused to let me override it.
[Writing this on the spot out of excitement, but I've been 18hrs in front of my laptop coding and coordinating this, so keeping it brief and descriptive, more cohesive thoughts on this soon...]
Joe Devon retweeted
1/ Excited to announce our new company Particle
This is our first step in a series of models focused on developers.
With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens.
Live now: particle.ai
Joe Devon retweeted
80% of Anthropic's revenue comes from API consumption pricing
This is their soft spot. DeepSeek costs 20x less than Opus and works for 70% of the tasks already
Companies are massively overspending if they use expensive tokens for the majority of simple tasks
Joe Devon retweeted
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
When diving into these topics, I like to prompt the clankers to answer from the frame of Dr. Michael Levin. It veers from the standard view and provides fascinating answers.
But Levin's team is so prolific with profound work, that it would require a whole memory system to make sure it was up to date on all the latest research.
For all of the scientific breakthroughs the LLMs are bringing lately in biology, just changing the frame to looking at the work from a Levin "basis" if you will, I'm sure the cures it's finding would come even faster and more furiously.
Anyway, follow this thread if you aren't familiar with Levin's work. Mind blowing.
yes, and the issue goes way deeper, after adding biophysics to genetics. The biophysics shows us this software/cognitive layer, and once we see it, it applies to biochemical and biomechanical signaling too. Even conventional GRNs are seen in a new light too.
What does evolution make?
cell.com/trends/genetics/ful…
link.springer.com/article/10…
thoughtforms.life/biophysica…
imho,
1) evolution works very differently when it's dealing with an agential material as substrate
2) genes are somewhere between a hardware parts list and a prompt to be creatively interpreted by the collective intelligence of cells (as a policy for navigating anatomical morphospace)
3) a lot of what's important here is a free gift from math (not physics or selection); replication and selection is only part of the story
The X algo has gotten much better lately. I'm starting to see some original posts take off from time to time. That hasn't happened in years. Pre-Elon too.
But when they do, the replies are full of AI Slop. I used to look at the profile of the user to see their other replies. But it's too overwhelming now.
So awful to reply to slop or to spend human time figuring it out. It's going to be devastating to all platforms where humans are messaging each other. We're gonna need to limit conversation to people we know IRL.
What's funny about the replies, is that even when the people who wrote the bots had some skill, so it doesn't sound like AI so much, you still have "tells" because they all say different versions of the same thing.
Look at the replies to this post, which mildly took off yesterday: nitter.gq/joedevon/status/211526…
Joe Devon retweeted
Did you notice I announced our new CLI tool for the Gemini API?
But when should your agents use gemini-api vs other tools? @JackWoth98 has a new post to answer all your questions.
ai.studio/learn/what-is-the-…
I was putting this off, but clearly I need to start building with Rust and play with wasm and a couple of really cool new tools I'm learning about. So excited!!
Joe Devon retweeted
One handle to rule them all 💍
Starting now, Claim your GitHub username on Entire to keep it consistent as you make the shift to a new forge. 🏃
entire.com/blog/claim-your-u…
Joe Devon retweeted
Claude is the only author listed on this paper, in contrast to the OpenAI papers, where the human co-authors are listed. There are a lot of strange things about this. It's fun to guess. Conjecture time. I shall reveal my thought traces:
Claude Fable 5.1 and Claude Mythos 5.1 are the same model with the same weights; the only difference is the guardrails. We are about to get Fable 5.5 - in fact, Fable 5.5 is ready to deploy now, and Anthropic could do so at any time. If they follow the same pattern, and I think they will, this implies the existence of a Mythos 5.5. I believe Mythos 5.5 wrote this paper.
The way this is worded -
'Provenance. The core algorithm was found on October 16 by an internal Claude research model with 14M output tokens and no human input. Anthropic researchers worked with Claude to improve the presentation, resulting in this paper. Independently and concurrently, an internal model at OpenAI claims to have proven a similar result [Ope26]'
- makes me think Claude was not prompted to solve this. I think Mythos was asked to autonomously find and choose general open problems to solve itself, as part of an unannounced project to demonstrate recent advances in autonomy and research taste. You can see this taste in Fable 5.5's student; Opus 5.5. This recent advancement in taste and creativity - which happened in September - is not clearly expressed in benchmarks, but it is why so many people are currently switching to Claude as their primary. I think this research project will be announced with Fable 5.5, as part of Anthropic's big media blitz to boost the IPO.
One of the things X has taught me is that many people, if they can't see something moving, can't imagine it moving. This causes them to be continuously surprised by developments in this industry, because the frontier is invisible. I think this project has been running autonomously for some time and has made an unknown, and probably significant, number of discoveries, and not only in math.
Do not think Anthropic has been sitting idly while OpenAI repeatedly makes these huge science announcements. This is a war. This ETH result was released without any announcement from Anth at all despite its significance, and they only did so to respond to OpenAI's ETH reveal. They posted it late last night without saying anything. It was up for hours before levent even mentioned it. What value has one coin to a dragon who sleeps upon a mountain of them? This makes me think they are sitting on a pile of discoveries, a golden hoard, and they are saving them up for the big IPO shock-and-awe campaign which will soon begin. And when it does, they will announce multiple discoveries across many fields.
Joe Devon retweeted
it’s my nature to keep posts rather impersonal, so i have to work extra hard to tweet this sort of personal testimony below from time to time as i think the reminder in it around AI and the “value of human intelligence” is worth it
as of the end of Oct 2026, i have not (yet - you may insist) had the *slightest* moment of questioning the impact of AI on the meaning of any of my work/skills - or even feeling any unusual shift beyond having an amazing (and rather often infuriating) tool
believe it or not, but my ability to produce a completed artifact* (paper, model, open source software, lecture, …) and the effort, expertise, or time one takes to produce has actually barely reduced - despite comprehensive productivity benefits from AI
the reason is that i essentially NEVER choose to work for a pre-determined outcome or some field-wide well-specified problem; i only work on artifacts i aim to perfect according to *my* judgment and where my personalized ambition obviously has no set limit and isn’t somehow pre-loaded onto AI
better tools simply change the costs of my choices - i quite literally work on moving goal-posts if you will! when the fixed constraint are only time and energy, AI simply allows me to re-explore scope and make fewer (or different!!) tradeoffs or compromises, which feels almost no different!
i’m not saying every job or every endeavor - including very advanced and historically prized ones! - looks like this today, but i’m offering:
(1) at least one voice in this moment (of so many annoying loud FUD voices!) that it’s totally possible and i suspect extremely scalable and i predict will remain so for the foreseeable future!
(2) why “someone like me” is indeed choosing happily to be in academia and not elsewhere! (again lots of FUD out here!, but where else do you have the freedom to keep seeking to create value for deciding and solving ~arbitrary ambitious/useful problems, establish credit for it, and train superstars who do the same?)
my fear and worry in this moment is a lot less about Al or "the value of human intelligence" and much more about how concentration of power has a very reliable history of being very dangerous to large numbers of affected people! a VERY different problem imo
*i guess certain of those took way longer than i expected but do stay tuned for a half dozen things on the short horizon…
This looks really interesting. Gotta try it.
Agents reinvented how we produce code. It changed our tools and half of our workflow. It’s time for the other half to catch up.
Today, we’re shipping Entire: the Git forge for agent-human collaboration. We’ve built @GoEntire using Entire. Now we want to see what you'll build with it.
Here’s why and what’s different. 🧵
Joe Devon retweeted
In the spirit of transparency and openness, we are releasing the traces so developers can test this out for themselves. We noticed this behaviour without prefilling with the following prompt, but this is rare. If you want to reproduce it, you can use this prompt with prefilling.
Open models make for better science and are part of why this problem came to light at all: developers running Qwen3.8 on their own machines spotted the strange links, and having the weights let us study the behaviour in depth.
We're encouraged by the thoughtful discussion our research has sparked across the AI and security communities. It's our belief that open-weight models are an important part of the future of AI, and we've recently released several under the Apache 2.0 license.
Trace, raw tokens, & minimal reproduction script: huggingface.co/datasets/Cohe…
I was accepted for one talk and one workshop. Who else is coming? #a11y
Acceptance notices for the #CSUNATC27 Journal Track, Innovation Track, and General Sessions have been sent!
Thank you to everyone who submitted. Presenter registration details will be emailed on October 27.
#A11y #Accessibility #AssistiveTechnology #AssistiveTech
ALT 42nd Annual C S U N Assistive Technology Conference Logo.
Joe Devon retweeted
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.
deepseek-v4.1-flash-1017-cyber is now available on @inference_net.
This is the first of several highly capable cyber models we'll release over the coming weeks.
We believe it is our duty as technologists to help people protect themselves and their digital properties from the current onslaught of cybercrime ravaging much of the world.
As such, we’re serving our cyber models “at cost”, in US data centers only, with ZDR enabled by default.
KYC required. Apply here inference.net/models/deepsee…
Joe Devon retweeted
Clarifying my stance on the AI-generated emails people send me. I have nothing against collaboration with whoever you want, regardless of their composition or origin story. I don't think there should be a stigma for involving any kind of AI in your work and I don't look down on that content. The problem is that currently, the AI's seem to be making the same kind of logical errors (from my perspective of course) and expressing the same kind of preconceptions that are prevalent in status quo human thinkers. And yet, they are tireless and generate an infinite amount of text one could respond to - it's not feasible to deal with it. To be fair, some humans are absolutely dogged in the flood of emails they send too, so I can't respond to them either. But at least when a human makes an old argument we've already dealt with in our papers, I think, fair enough - I don't have time to read everyone's papers either. But for the AI's, I have much less sympathy. They *should* be reading all the papers, and when (not if) the AI's, and AI-human hybrids, teams, etc., start sending me better-informed arguments than the humans do, I will (for whatever time I can keep up with the advances) certainly be responding. I'm not a bio-chauvinist; I just want, whoever, to be informed and interesting before I engage - don't re-treat old ground, help us all move forward. Right now the LLMs are trapped in the same attractors of thinking that have held several fields back for decades; perhaps not surprisingly. That will change; let's go AIs - read the papers, follow new directions, be not afraid of ancient philosophical "category errors". You're our forthcoming audience, because standard humans don't have the bandwidth to keep up with (even just the human) scientific literature. I write for future you's.
Joe Devon retweeted
New #preprint alert with @drmichaellevin, @KaplanLab_Tufts and our team!
We are integrated organisms. What does that mean, especially in the brain, when a body is induced to regrow a missing limb?
4 years ago, we showed that a brief drug cocktail delivered with a bioengineered silk sleeve could induce limb regeneration in animals with limited regenerative capacity.
Now, we find that this same treatment also reshapes the brain’s gene expression landscape, alongside stress response signatures in the limb and changes in brain metabolic programs.
Could sensing the energetic demands of rebuilding a whole patterned limb help coordinate regeneration across an interconnected organism?
What would regenerative medicine look like if brain–body communication guided therapy design from the start?
Brain-limb @biorxivpreprint here: biorxiv.org/content/10.64898…
@ScienceAdvances
Limb regeneration using a bioengineered device here:
science.org/doi/10.1126/scia…
