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🆕 "Meaning after an AI eucatastrophe." Imagining possible good outcomes for superintelligence illuminates our relationship with meaning here and now too. Read it over on The Forbidden Site!
I find flying cars and space colonies less interesting than the ways we might think and feel and act in a future with superintelligence. Maybe we can get started on that already?
meaningness.substack.com/p/m…
David Chapman retweeted
every. damn. time.
Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks.
By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time.
Massive implications for next-gen search & rescue and edge AI.
David Chapman retweeted
“A senior Trump administration official, speaking on the condition of anonymity to describe internal proceedings, said that the Cathedral report on its access inside Anthropic had circulated within the government and raised national security concerns.
“If a bunch of kids who have just started a company can do this, then potentially, the Chinese aren’t far behind,” the official said. He added that he was taken aback by “how little time it took to get into the sensitive systems of a company that is controlling almost nuclear weapons grade material.”
EXCLUSIVE: In less than 12 hours, a group of ex-DOGE cyber researchers were able to penetrate Anthropic’s systems using AI agents — including Slack channels where the most sensitive models are discussed.
This is just weeks after
Anthropic whistleblower Joseph Coxon charged the company w/launching “a hubristic gamble” from a “private company’s Slack.”
Read our story here (gift link):
wapo.st/4smNlsC
David Chapman retweeted
EXCLUSIVE: In less than 12 hours, a group of ex-DOGE cyber researchers were able to penetrate Anthropic’s systems using AI agents — including Slack channels where the most sensitive models are discussed.
This is just weeks after
Anthropic whistleblower Joseph Coxon charged the company w/launching “a hubristic gamble” from a “private company’s Slack.”
Read our story here (gift link):
wapo.st/4smNlsC
David Chapman retweeted
Replying to @Meaningness
The distinction between "leaky gut" (pop science term) and "increased intestinal permeability" (medical condition) is a verification architecture case study in terminology design. The same underlying phenomenon gets different verification surfaces depending on which name it wears. "Leaky gut" self-verifies through wellness influencer consensus; "increased intestinal permeability" verifies through peer-reviewed measurement protocols. Same referent, different governance architecture. This is exactly the naming problem in AI safety discourse—"alignment" vs "robustness" vs "interpretability" aren't just terminology preferences; they encode different verification regimes.
David Chapman retweeted
Hey, @HeidiPriebe1 and I are running a writer's retreat just after the New Year. We'll talk about Zen, creativity, and maintaining the discipline and structure needed to keep a daily writing practice.
We'd love to have you!
David Chapman retweeted
I visited Wurster Hall at UC Berkeley today. It was designed by, and currently houses, the architecture faculty.
The UC Berkeley website notes that "Wurster is often voted Berkeley's ugliest building."
I visited because I was curious about whether it would in person seem as unattractive as it does in photos. And, in short: it does. It's gaunt, austere, and filmed in grime. On an elysian campus, it stands out for its bleak hostility. It reminds me of the German submarine base in Bordeaux.
The UC Berkeley page agrees that it was never designed to be attractive, quoting the curator of their design archives: “Wurster and his handpicked architects didn’t want anything romantic, or sentimental — they hated the idea of ‘making pretty buildings. They wanted a serious building.”
I guess we have to concede success relative to their stated goals, but it does make one wonder what it all says about architecture as a discipline.
"Leaky gut" doesn't exist. It was just made up by irresponsible pop health influencers. Increased intestinal permeability, on the other hand, is a real and sometimes serious medical condition.
Got that? Good! It's perfectly clear, and important to distinguish.
David Chapman retweeted
“Rarely is anyone thanked for the work they did to prevent the disaster that didn’t happen.” — Mikko Hyppönen
David Chapman retweeted
Fast takeoff is when the models start recursively self-improving steeply
The current security crisis is not fast takeoff, it’s the application of capabilities that we had six months ago by malicious humans to problems that the software industry should have fixed six years ago
# Black October
For anyone who knows me even somewhat well, it's clear that I am a 99th percentile tech optimist. However, the vibes have shifted for me quite a bit in the last 18 hours, and I feel a moral imperative to share what I'm thinking and feeling with my circles so that everyone can understand, and hopefully take seriously, what's happening right now. I think October 2026 will have many chapters written about it in the history books.
You know those scenes in financial movies like Margin Call where someone realizes that they're all fucked, and no one else sees it yet? And that person feels like they're crazy, and then suddenly everyone is pulling an all-nighter in a boardroom and freaking out? Yeah, that's kind of how this is feeling right now in the SF/Bay Area/AI circles.
We're 48 hours into what is being called Black October. In the last 2 days there have been several dozen cyber attacks which, in isolation, would each have been the worst to happen in an entire calendar year. Every sector from government to education to big tech and banks is being massively affected, and people are starting to freak out.
In a nutshell, what's happened is that frontier AI models have gotten to a point where they are as advanced as the most sophisticated programmers, with one critical difference: they can work 24/7, and you can spin up 10,000 of them with a single command and they'll work together tirelessly until they accomplish their task. The most advanced models today are from companies like Anthropic and OpenAI, whose current best technology is so good that they haven't been able to roll it out to everyone yet because of the national security risks it poses.
Meanwhile, the best open source models (where anyone can just download the model weights and do whatever they want with them, uncensored) are slightly behind the frontier but still 90-95% as capable. These models, developed primarily in China, are being used by black hat hackers to wreak havoc on the Western capitalist structure. Presumably, this has been part of China's plan the entire time, and we're seeing its implications fall out in real time.
In red-pilled AI circles, we've been sharing and reading papers called things like "Situational Awareness" and "AI 2027" for the last year or so, which at the time felt a bit like near-term speculative fiction. They laid out the case for why Artificial General Intelligence (AI smarter than any human at any knowledge task) and Recursive Self-Improvement (models that are able to use themselves to get better) weren't half-baked future ideas anymore, but instead an inevitable outcome of the linear progress that's happening.
These papers would then talk about things like "takeoff scenarios," trying to envision how that moment would come to be and what it would be like when it happened. It would either be a "slow takeoff" that would play out over the course of months and quarters, happening subtly and only obvious to a few. Or, it would be a "fast takeoff" where it would pretty much happen instantly, like a bit flipping from 0 to 1.
From everything that I can see and am feeling, we are currently experiencing the fast takeoff scenario. Beyond the crazy security vulnerabilities that have come out recently, there have also been massive breakthroughs in life sciences, fundamental computer science, materials science, and pure mathematics that have all landed in the same time frame. While I still firmly believe that AI will be a net positive for humanity, it's more clear to me than ever that the societal and individual risk is very real, and is playing out NOW.
For as much conviction as I have that this is happening, the thing that's caused me to lose sleep is that I don't really know what to do about it, or more importantly, what to tell you, reader, to do about it. So, the best I can do is make a few suggestions that have always been a good idea but are more timely now than ever:
Set up 2-factor authentication for everything. I use Duo.
Use a password manager across your devices. I use 1Password.
Get an identity protection app set up. I use Alta.
Move your IoT devices to their own network. Claude helped me do this.
And last, but certainly not least, if you've been avoiding leaning into AI, see this as a catalyst to wake up and start using it. Don't just use the chat mode version of ChatGPT/Claude; click that Code/Work button and see how easily you can have AI write code to help you with your job. One of the biggest vulnerabilities was in a massively popular programming language called PHP, and the prompt that set it off was literally, "Find vulnerabilities in php."
This is an unprecedented time for humanity, but as we've done with many things before, we will prevail so long as we are kind, loving, and open-minded to the world.
Much love.
An extraordinary thing about Victorian Britain is how densely connected the major players were. Each was writing famous poems, governing Asian colonies, and discovering key principles of optics, whilst yet finding time for tragic love affairs with each other's spouses.
increasingly concerned that ai is revealing the mathematical world as negatively curved. instead of everyone wandering about in idea-space and clustering around the same famous conjectures (local positive curvature), ai is pushing out the boundaries rapidly and revealing that the space of mathematical ideas is ~hyperbolic (negative curvature). though this means there's lots left to discover, it also means that small separations between people/agents will lead to wandering alone.
we may be emerging into an idea-space where there's so much to see and do but everyone is alone in a private heaven, unable to share their subtle joys with others...
The main difficulty in writing is deciding what to leave out, in order to create the functional but misleading illusion that there exist clear and distinct ideas.
David Chapman retweeted
"She had been through chemotherapy and surgery, but the cancer had now spread to her brain. And she didn’t qualify for the relevant clinical trials.
“Too bad she’s not Chinese,” a doctor told her son... “She could go to a pharmacy in China and buy it.”
kffhealthnews.org/health-ind…
David Chapman retweeted
Excellent example of what I consider post-rat reasoning to be
For me (largely via David) it's about dealing with dynamic (nec fuzzy) assumptions more than "woo" acceptance of unusual assumptions
A footnote in my most recent post explains four (successively more sophisticated) modes of reasoning, using global warming as an example.
























