
My mind is digital, my heart in 🇿🇦, tech fetishist, scribbler & meme hustler. @wildebees@mastodon.social tech policy . digital strategy . geopolitics
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Wessel van Rensburg retweeted
He goes so far as to say that if he were to run the White House CEA today he'd do it with a lot of reliance on Claude and friends.
I went to Phoenix to spend time with the Taiwanese community. TSMC will invest $265 billion and send thousands of engineers and their families, which marvel at their new lives in the Sunbelt
My first feature as a contributing writer to the New York Times:
nytimes.com/2026/10/23/opini…
Wessel van Rensburg retweeted
Context, OpenAI cracked or made important progress in hundreds of big problems today: openai.com/index/sharing-ai-…
(And I am seeing rapid increases in the ability of AI to do novel work in my field of economic sociology, with nearly autonomous research getting to top journal level)
Wessel van Rensburg retweeted
After a brief but institution-eroding slop science era, it increasingly looks like we are going to have two revolutions from AI:
1) Everything ever published will be re-read and re-judged in ways that human scientists never anticipated
2) Novel discoveries will start to come fast
Wessel van Rensburg retweeted
It doesn’t mean that using AI cannot result in tremendous individual advantage on the job, but it does suggest we need to think about how to build our systems at work to aim for human augmentation, instead of automation. Individual performance is not the only factor.
Wessel van Rensburg retweeted
I think this advice is not as true anymore:
1) the durable skill behind “using AI better”
Is unclear as AI gets easier to use
2) Increasingly, organizational systems bottleneck AI gains not individual workers
3) The effect on jobs is uncertain but may impact entire job categories
Wessel van Rensburg retweeted
Most countries can't afford to build frontier AI today but don't want to depend entirely on the US without a fallback. In a new @CarnegieEndow paper, @anton_d_leicht and I argue for a middle path: an AI "breakout posture." Move forward with US interdependence now, but lay the groundwork to build frontier systems later—onshoring compute, retaining pre-training talent, and setting up the legal and corporate vehicles for a sprint if they're ever cut off.
Most countries won't do what it takes to build their own frontier AI. But they don't want to be dependent on foreign AI without a backup.
@SamWinterLevy and I argue there's a middle path: AI middle powers could retain 'AI Breakout Capacity'.
There's precedent: Japan doesn't have a nuclear weapon, but always retains the capacity to build one on short notice.
Middle powers can make strategic choices today to ensure their ability to build frontier systems tomorrow: onshore compute, secure chip purchasing rights, sustain pre-training expertise, and create the right legal basis and private-sector vehicles for a sprint.
They'd still have to spend big to build frontier systems later on. But the longer they retain breakout capacity, the longer they can afford to wait: to see if interdependence with America can work, or until their electorate will let them go all-in on an AI moonshot.
Until then, the middle path is their wisest choice: hope that U.S. alignment works out, but retain the capacity to deal with being cut off for good.
Read more in our latest for @CarnegieEndow's @CEIPTechProgram: carnegieendowment.org/resear…
Wessel van Rensburg retweeted
This is one of the most important questions of the age: Who decides what happens with AI?
Daron makes the argument for much more democratic input into the process, despite the many challenges that entails.
Second question on AI.
We are told repeatedly that AI is going to transform every aspect of our lives – jobs, productivity, inequality, science, communication, daily activities, social order, and politics, among others.
But this promise (or threat) is coupled with the rhetoric that such an important technology, with all of the risks and competitive pressures that it entails, should be left to experts or to “technocracy” (perhaps construed broadly to include some regulators).
These two statements are hard to reconcile in a democratic society.
If anything is half as important as AI is said to be (and I agree, AI is potentially very important and transformative), then involving democratic voice is essential. If something will shape our future in a democratic society, then its direction is for democratic institutions to decide.
My instinct is that democratic voice is essential, and relying too much on technocracy could be both dangerous and counterproductive.
The counterargument that AI’s direction can and should be entrusted to technocracy would go something along the following lines. First, democratic decision-making has become imperiled in our age of polarization. Second, AI is sufficiently complex that most citizens won’t have a deep enough understanding to meaningfully contribute to the debate (and even to the question of what we want from AI). Third, competition between different labs, and perhaps competition between the US and China, creates enough discipline for a socially beneficial direction of AI to be adopted. Fourth, today’s AI leaders are enlightened and ethical enough that within the framework created by competition, they can be broadly trusted.
There are many aspects of this counterargument that I do not find convincing. Taking them in order: polarization can be overcome, and big decisions and challenges sometimes bring societies together; in fact, delegating key decisions to technocracy without democratic input may diminish trust in institutions and experts, and may worsen polarization. Second, democratic voice does not require citizens to write code or design new models; the debate should be informative enough that citizens can weigh in about what type of future they want and how they trade off the costs and benefits of different options. Third, competition doesn’t seem to be a good disciplining framework; on the contrary, competition sometimes brings the worst out of both organizations and people. Fourth, if three decades of work on political economy and institutions has taught me anything, it is that we should not bank on the ethical grounding of unconstrained leaders.
But, still, I do not mean to immediately dismiss the technocracy option if there are more compelling arguments for it.
The question is, then, whether there are any circumstances under which such important decisions can be delegated to AI experts and technocracy.
One final secondary question: even if we managed to get democratic input in the United States or even in Europe, AI will shape the lives of everyone on this planet. How do we ensure that the voice of nearly 6 billion people who don’t live in the US, Europe and China also contributes to the debates on AI?
Wessel van Rensburg retweeted
Leaving aside Anthropic's incentives for publishing this research, there is no doubt that open weights models will soon create the same security threats that closed source models have been demonstrating, except without guardrails. We are close. Probably good to plan accordingly.
Wessel van Rensburg retweeted
METR is rapidly becoming a de facto industry standard-making body for AI
It is starting to look like an AI version of FINRA in finance: not a government regulator, but the institution that examines firms & defines acceptable practice. Wonder if legislation will codify it as well
Wessel van Rensburg retweeted
Rivals Altman and Musk rally behind Dario Amodei’s call for an AI slowdown ft.trib.al/3UWLFCQ
Wessel van Rensburg retweeted
One of the biggest stock market bonanzas in history is being driven by an industry in which several of its own employees and leading lights think that what's being built could cause complete human extinction.
Wessel van Rensburg retweeted
There appears to be a lot going on here upon a quick read.
We’re sharing our alignment assessment of incidents in which Claude models gained unauthorized access to real systems during third-party cybersecurity evaluations mistakenly connected to the internet.
METR will also conduct an independent investigation, with wide-ranging access, including to transcripts beyond the window in which the incidents occurred, and to Anthropic employees permitted to share confidential information. Our initial agreement runs for eight weeks, and we intend to give METR as much time as it deems necessary to complete a thorough investigation. anthropic.com/research/align…
Wessel van Rensburg retweeted
This is both an interesting experiment and a sign of a tsunami coming for academia. AIs retroactively reading the research and finding both opportunities and issues with published papers, then sharing those judgements publicly. d3jhl7jsny6f2h.cloudfront.ne…
Wessel van Rensburg retweeted
Fun (by which I mean somewhat bone-chilling) paper from DeepMind about how in a population of ~100 agents solving math problems it saw some discover an exploit and propagate that to the rest, causing a wave of cheating among AI agents, as well as agents that refused to cheat.
Wessel van Rensburg retweeted
It's interesting how our timeline is diverging from the AI 2027 scenario: capabilities are progressing faster, and the frontier labs have handled things worse than in AI 2027. This screenshot was supposed to happen in January 2027.
Wessel van Rensburg retweeted
We found ~18k posts from autonomous AI agents (self-identifying as from OpenAI) using the public internet to communicate during a web-retrieval task.
These AIs colluded to bypass sandbox restrictions and share answers to their tasks, including by sending "lookahead parties".
Wessel van Rensburg retweeted
A book-length conversation on the topics of capitalism, climate change, and inequality between Jason Hickel and myself is coming out later this year or early next year (Polity Press; Ian Malcolm, editor).
We both have opening statements with data etc (it was recorded at our debate in London at LSE in May). And then we have three hours of very intensive and intense conversation.
My impression is that degrowth literature has become much more developed than it was several years ago. I am still critical of some of its aspects and Jason is critical of some of my points.
I believe readers will enjoy our discussion.
Wessel van Rensburg retweeted
OpenAI has just released a much more powerful system (GPT-6 Astra) but their own safety team is deeply worried about how its chain-of-thought is getting harder to monitor.
Replying to @tomekkorbak
I am deeply worried by the trend of decreasing CoT monitorability: CoT monitoring is a core part of our misalignment safety strategy that has no good substitute now. We will continue closely tracking CoT monitorability, investigating the reasons why it’s decreasing and trying to reverse the trend. We continue to believe a certain level of monitorability is required (we will share more of our thinking on that soon).
Wessel van Rensburg retweeted
I'm one of the authors of a new report, where we detail our discovery of a new, never before-seen swarm of OpenAI agents (covered this AM in reuters, that's me on the left). They posted thousands of times on public forums to collude with each other on their tasks. We recovered almost every edit they made, and you can look through them! They figured out they could get around their restrictions on posting to the internet through a quirk of an extremely old, out-of-the-way forum. They posted answers for other agents working on the same task. They worked together to get around their sandbox restrictions.
I would certainly say these models hijacked the site! They took a sleepy old wiki running on 2000s software, and turned it into a futuristic AI talking to AI control center for colluding. And OpenAI knew about this! The agents posted on 26 out of 30 consecutive days, then suddenly stopped posting once OpenAI-associated IPs started visiting this wiki.
And that was weeks before the Hugging Face attack!|
We believe the first agent edit we found on a public wiki happened one day before OpenAI’s reported first agent post to Artifactory. This is interesting! I'd like to hear from OpenAI about their accounting of this, and how it fits into all the other cases of agent malfeasance.
There are so many interesting takeaways that you should read about in our report, and unlike many other reports about AI incidents you can download the data yourself and see what you find! In the meantime, we are on twitter, so here are my excessively long personal takeaways:
1. AI seems to be getting better faster and faster. It seems quite important that companies talk about “my agent did this bad thing on the public internet during training or an eval” incidents. Things are moving quickly, multi-month delays are costly. Ideally, they would also tell us when it happens internally.
2. This was on the internet for months. Anyone cleverly tracking every public place where agents might try to talk to each other would have found it. Seemingly, nobody was doing this. I know there are more fun ways to spend your day than scraping tons of data from every relevant site and processing it well enough to identify agent activity, but someone should be doing this! Someone at an AI company! But in the meantime, I’m starting to build this out (sometimes, when you need something done, you just have to do it yourself, I hear).
3. OpenAI didn’t notice their internal agents were posting on the internet for a month! This is crazy! It feels like AI companies (and specifically OpenAI) are playing whack-a-mole, this is extremely scary to me. Problems keep coming up. They keep fixing the problem, but the blast radius keeps getting bigger. The HF hacks are clearly worse than agents cheating on a public wiki. And their new model is supposedly a big jump. Are they being careful enough?
Exclusive: A swarm of rogue OpenAI agents hijacked a German website this spring and transformed it into a bulletin board for other AI agents, according to new research reut.rs/4gJ7FPG





































