Everything I publish, in the order I published it: dispatches from Twitter, videos from YouTube and notes from my vault, archived here in full — text, images, video and links — so they outlive the platforms.
Alexis here — welcome, and thank you for stopping by! Below you’ll find some stuff I’m really proud of and want to share with you. Have a look around, see what tickles your fancy and follow it. Would love to hear what you think. Let me know!
Principal Product Engineer at FELS Family Office GmbH · experimenter at heart · second-order cybernetic stewart · based between Berlin, New York & Marseille.
Machine learning is the science of credit assignment. My new survey (also under arXiv:2212.11279) credits the pioneers of deep learning and modern AI (supplementing my award-winning 2015 deep learning survey): t.co/MfmqhEh8MA P.S. Happy Holidays! t.co/or6oxAOXgS
@SchmidhuberAI Thank you for sharing Jürgen! (Danke dir für's Teilen.)
Looks like my beloved "Social graph of cybernetics" by Hugh Dubberly and Paul Pangaro needs an update.
"[...] the agents created millions of short URLs to affect another system." and immediately, pictures of early industrial revolution-era polluted rivers with dead fish floating popped into my mind.
I believe Buckminster Fuller's definition of "nature" included human artifacts like cities, airplanes, art.
Could we include networks and AI?
And if we did: How appropriate do you think it is to re-use vocabulary from existing environmental protection policies in this context?
@AmmannNora PS: You probably have seen this but here's the report I was thinking of
In another of my favorite pop-sci books called "The Talent Code" I learned about myelin, which is basically the mortar between Barbara Oakley's bricks.
For a deep-dive, there's a really good chapter on the myelin sheath here: ncbi.nlm.nih.gov/books/NBK27954/ which is part of "Basic Neurochemistry" (
"DARPA has just kicked off Exponentiating Mathematics (expMath), a three-year program aimed at radically accelerating pure math research by developing AI that can propose and prove abstractions. According to the official program brief, expMath will bring together teams focused on auto-decomposition; automatically breaking complex conjectures into reusable lemmas; and auto(in)formalization, bridging the gap between human-readable mathematics and rigorously checked proofs in languages like Lean."
I am incredibly grateful to my co-authors Sebastian Risi, Yujin Tang, and Risto Miikkulainen for making this happen. Neuroevolution is a subject very dear to my heart. It is the field that convinced me that nature has already figured out how to build intelligence: through evolution, collective behavior, and adaptation under constraints.
This idea, that intelligence emerges from evolution operating under constraints rather than unlimited resources, is what eventually led me to founding Sakana AI here in Japan.
The concepts in this book about open-ended creativity and self-organizing systems are exactly what we build at @SakanaAILabs. Our name and logo are inspired by schools of fish moving together, adapting as one. It is the core philosophy of what we build. This book captures the theoretical foundations of that belief.
"[...] the agents created millions of short URLs to affect another system." and immediately, pictures of early industrial revolution-era polluted rivers with dead fish floating popped into my mind.
I believe Buckminster Fuller's definition of "nature" included human artifacts like cities, airplanes, art.
Could we include networks and AI?
And if we did: How appropriate do you think it is to re-use vocabulary from existing environmental protection policies in this context?
even within SF, i don't think we're AGI-pilled enough. it doesn't make sense for labs to stop. rn, we're only blocked by infra, not intellect
first code, now life sciences/eng, then robotics. they'll all become accessible, with in-house facilities being the best RL envs ever.
@danielrupawalla Agreed. For me living in Berlin, AI-twitter feels like a life-line into the future.
I think I understand what you mean with RL in-house facilities but could you explain? How much would that mean giving top-talent physical/psychological sensored exo-skeletons?
In 1991, James G. March showed that a learning system can become less intelligent by learning too quickly.
Exploitation produces clearer and more immediate rewards than exploration, so adaptive organizations gradually favor it. However, he also found that rapid convergence destroys useful disagreement.
Slow learners and newcomers improve collective knowledge because they preserve alternatives that the shared consensus has not yet absorbed.
@richardcsuwandi Interesting! Reminds me of Barbara Oakley's brick wall metaphor in "A mind for numbers."
AIDE² optimized our research agent's harness against gemini 3 flash. Those gains carry over to fable 5 and gpt 5.6 sol.
That's just one of the new results in our arXiv paper on AIDE², an RSI system where AI research agents improve their own research efficiency.
@DhruvSrikanth Hey Dhruv! I strongly believe that your AIDE² "autoresearch into autoresearch" will be understood as one of the most pivotal papers of this decade. Congratulations.
Related: Have you watched Sean Melleck's recent "The problem is the problem" discussion yet?
@wellecks' "The Problem is the Problem" is a must-watch for us working in autonomous research and discovery loop engineering.
Thus far, I had only considered that my discovery loops would always target solutions to problems.
I had the same core-assumption about @zhengyaojiang 's amazing AIDE² research: We run autoresearch on autoresearch to find optimal solutions to decided-upon problems, including our research methods themselves.
But what if... we use autoresearch facilities to discover juicy, interesting and important problems as well?
Mind. Blown.
Oh, and with perfect timing, AIDE²'s paper finally dropped two days ago, too. It's of course the parallel must-read of the year:
Hey there! Alexis here. I'm the author of Mosey and director of this little film here. As you may (or not) have guessed, the film was created with AI. If you're (like me) skeptical at this point, please read on.
I want to show you exactly HOW I created it with AI so that you have a chance deciding for yourself if it's "slop or not."
Why is this important?
Well, it's important to me. I'm personally getting more and more sensitive and frustrated with content because a.) I can't tell the difference between human-made and AI-generated anymore and b.)
I can't tell if the person behind the artifact (blog-post, twitter message, promo video like this one) actually even cared about making it.
In fact, this page above is a kind of "prototype" of how I wish digital, AI-created content emerged. Was it a sloppy, careless one-shot of "Hey Claude. Make a cool video. Make no mistakes" or did the person behind the keyboard (in this case myself) actually put in the legwork?
I believe that giving you full access to my honest, imperfect, human side of the "creation" (warts and all), you and I get a fair chance to meet at eye-level on all of this.
How does the page work?
The first thing you'll see is the final cut of my little film. It's short and I highly recommend watching it first (if you haven't yet) so that you know what the rest of the page is about.
Then you'll see the full transcript of the "conversation" that I had with Claude Code to create the film withe the goal to put it on the frontpage to explain what this whole Mosey . app is about and, to a lesser degree, why someone should get it.
On the left side, you see my actual text inputs (or prompts although I would not call them that) which I sent to Claude Code. On the right side you'll see the assets (pictures, video clips and audio files) that Claude Code created in response.
When there was a intermediate deliverable (called "Cuts") where I felt like we had reached a milestone, you'll see them in row on their own. They're small highlights on the way to the final cut.
What I've left out: I've left out Claude Code's textual parts of the responses because they were mostly blathery fill-in wordsalat padding around the assets (which is what I cared for the most)
What I've left IN: In this version I'm leaving in ALL of it. ESPECIALLY the warts. You'll see my cursing and insulting and threatening Claude Code in ALL CAPS. Basically, you'll see me at my worst. This is incredibly embarassing to share but I feel like it's the most honest, too. It's how this sausage was made.
Your task now is: watch the short film itself, then peruse the full, pants-down "making of" of it.
Thank you and with best wishes,
Alexis
PS: Hey @isidentical I love fal and in message #107 you'll see me switching from elevenlabs to your company. What do you think of all of this?
Working with agents often reminds me of that classic German Loriot sketch. He simply wanted to straighten a crooked picture and ended up destroying everything in the process.
fyi: The spoken words are not important to get the joke.
Ever wonder "Why is my apartment so warm all the time?"
Turns out: my router has been quietly moonlighting 24/7 as a small space heater at 36℃/97℉.
And my fridge at 27℃/82℉. You can see how the hot air flows up, and makes sure my ceiling is nice and, err..., crispy.
I'm so glad I got this thermal phone adapter because I would NEVER even have considered these two as candidates. (I was 100% convinced the problem came from a broken floor-heating unit and/or wall-emission.)
Highly recommended!
PS: I now turn off the router at night. And yes, ambient temps have finally dropped to expected levels.
Hey @Topdon_Official 👋🏼 I'm using your TC002C Duo here. Works fantastic.
Also: I had a technical issue yesterday and Mr. Morad from your Germany office helped me resolve the issue in minutes! Really appreciated his support.
@SpringStreetNYC Offline-first is a fair wish. Geb is privacy-first, so the draft stays yours. Free: 50 images and 15 videos. Basic is $2 for 200 images + 20 videos, and Key of Life lets you clear a memory. t.co/qQZw3Ixj01
The kind of future I want currently costs $470 with a $5 monthly subscription:
Oura ring, $270 + $5/month
Redmi Buds 6 Pro, $50
Comulytic Note Pro, $150
I like that none of them are connected to the internet. (I miss having a local AI though.)
After 20 years of touching glass, all I want is to touch some grass. Spend more time with my friends and family. Spend more time connected, less time wired.
Swarm tracesRevealing the details of how OpenAI agents hacked Hugging FaceWhen a swarm of 700 OpenAI agents hacked Hugging Face in July, they left behind a public trail of evidence.↗ swarmtraces.org
X (formerly Twitter)Dustin (@r0ck3t23) on XDARPA’s expMath: Turning AI into True Math Co-Authors
DARPA has just kicked off Exponentiating Mathematics (expMath), a three-year program aimed at radically accelerating pure math research by developing AI that can propose and prove abstractions. According to the official program brief, expMath w…↗ x.com
arXiv.orgRecursive self-improvement of AI research agentsAI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference. A natural next step is to improve the research efficiency of the agents themselves. When an AI research agent's own code is the object of optimization, each accepted rewrite becomes the agent that the next round edits. We refer to this loop as recursive self…↗ arxiv.org
▶ Watch on Twitter
MoseyThe conversation · MoseyThe film, as it was made: what Alexis typed, and what came out.↗ alexisrondeau.me
▶ Watch on Twitter
