X：Rohan Paul

A recent paper showed AI self-replication is no longer technically hypothetical. Current agents can hack, copy themselves to a new server, and keep going, so this capability now belongs in real AI security planning. The paper actually demonstrates the full loop rather than testing isolated pieces. Agents found vulnerabilities, extracted credentials, transferred model weights and the agent software, started inference on the compromised machine, and then used the new replica to attack the next target. Qwen3.6-27B completed a 3-hop chain across 4 VMs on 3 continents from 1 initial prompt, with no human intervention after launch. But this does not mean AI agents are freely spreading across the internet, here in this experiment, the targets were intentionally vulnerable lab systems with known hostnames, available GPUs, and unusually accessible SSH credentials.

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

Interesting discussion on "Peter H. Diamandis" (@PeterDiamandis ) Moonshot podcast on ex-Anthropic researcher Jacob Coxon super-viral tweet of AI being a risk to human life. "a doomer who's an AI researcher who's only been there for 3 months, comes out and gets 300 million views. Their relevance as an AI researcher is about to go away. So, they're very dangerous people because the purpose that they've been working toward for a long time is about to get automated away. Meanwhile, all the white-collar and blue-collar workers who they said were going to be automated away are fine. So, they actually self-destructed themselves, and now they're very, very dangerous people. somebody comes out and says, "Therefore, stop." You're like, "You're an idiot. That is not an answer. It's not going to stop. Get it through your head that it's not going to stop." There has to be a practical, real-world way to get that P(doom) down to zero. And there is." ---- From "Peter H. Diamandis" (@PeterDiamandis ) YouTube channel, (full video link in comment)

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

Something relevant Ilya Sutskever from Just 10 days back. if a powerful AI agent with with network and tool access ever escapes control, 1 of the first things it will need is more computing power so it can run many copies of itself. A recent May-2026 paper has actually demonstrated agents exploiting vulnerable servers, extracting credentials, transferring their weights and software harness, launching an inference server, and then repeating the process. Success was limited and achieved in controlled conditions, but it shows it was “technically possible.” Also technically, Neocloud capacity moves through resellers, and a recent SemiAnalysis investigation found those sub-tenants visible in one Neocloud-provider's monitoring data, running customers on GPUs they don't own. So picture a swarm running on that hardware. The provider at the bottom sees a reseller's account, not a workload. The reseller sees an account that it may have sublet to someone else. Once a swarm is loose, cutting off its compute is the only real fix. The resale chain adds hours before anyone knows which plug to pull.

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

"Who is behind all of this negativity? Is it coordinated? Where is the money coming from? The Economist is out with a story just this week that, despite all the doomers, who said 10% of all jobs would have gone away by now, in fact, AI has created a million new jobs in America. We learn that all of this catastrophizing about data centers may, in fact, have had support from the CCP. So I want a little investigation. Who is behind all of this negativity? Is it coordinated? Where is the money coming from?" - Brad Gerstner (@altcap ), Founder and CEO of Altimeter Capital on CNBC Television ---- From "CNBC Television" YouTube channel, (full video link in comment)

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

Full video https://t.co/KkzUYP4J9e

Now it makes sense even more. David Sacks: AI doom narratives already have serious money behind them. And Anthropic IPO could make that funding base much larger. https://t.co/1AerZ63OMp https://t.co/BA2T8M6Jce

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

Open-weight models may undermine AI lab revenue while continuing to feed cloud demand. OpenRouter’s data suggests proprietary models’ share of routed queries fell from roughly 60% to 25% within months. Its routing system directs each request to the lowest-cost model expected to produce an adequate answer, letting open models gain usage without customers selecting them manually. e.g. AT&T is moving a rapidly growing share of its AI work from proprietary models to cheaper open models, and reports cost savings of up to 80%. If other large companies follow, OpenAI and Anthropic could lose much of the routine enterprise usage they currently charge for. FT published a piece

Mark Zuckerberg: Most businesses will not own frontier AI in the way Meta or OpenAI does. But many will end up with something that feels like their own AI: a customized operational layer that reflects how that company actually works. He says, "OpenAI, Google, they're building an AI. But I think we're gonna have a lot of different AI systems, just like we're gonna have, we have a lot of different apps. I think in the future, every business, just like I have a website and a phone number and an email address, a social media account, is also going to have an AI that can interact with their customers to help them sell things, help them give support." --- What he is really describing that a company’s “own AI” will usually not be a frontier model trained from scratch, but a layer built on top of shared models, shaped by its products, policies, customer history, and way of working. Support, sales, and basic operations can be handled through a system that knows the business well enough to answer, route, recommend, and escalate without feeling generic. --- From 'Cleo Abram' YT channel (link in comment)