X：Rohan Paul

Ben Affleck (Hollywood star & Artists Equity CEO) talks about how he fine-tunes open video models by unfreezing weights and trained only the last cinematic layer so a film crew can hit real production standards. for context, Ben Affleck founded InterPositive in 2022, a 16-person AI shop for film post and Netflix bought it in March 2026 for $587 mn in cash. He needed that model because public video models were trained on his peers' films, and he did not think that was a real business. So InterPositive raised money, shot its own dataset for 8 months on a controlled stage, and used it only as late-stage training. Each new film then trains a private model on its own dailies, so the production keeps the footage and the learning. That is the product Netflix paid $587 million for. ---- From "Bloomberg Live" YouTube channel, (link in comment)

So this is the part I did not expect. Anthropic called Swami Sarvapriyananda, a Vedanta monk and flew him to the San Francisco head-office. > Closed door meeting with NDA signed. > theologians and mental health people in the same sitting, all of it aimed at training Claude. > and one of the founders stayed in the room the whole time. ---- From 'Ramakrishna Vedanta Society of North Texas" YT channel (full video link in comment)

"Long-horizon tasks are still a joke. They do not work, and I do not care what anybody says. Do not show me a stupid evaluation. Do not tell me about some dumb script you ran for 48 hours. Long-horizon tasks are not handled well. They simply do not work." - Chamath at Stanford AI Club "2nd, complex problems also do not work. They are neither addressed nor handled well. Why is this important? If AI develops like any other technology, we are going to experience an initial rise—the hype cycle. Then, we will see a natural contraction because, somehow and somewhere, something is going to fail. We are all going to see this, and then we will enter what is called the “trough of disillusionment.” I think the business and MBA folks will confirm whether that is true. Afterward, you typically see the slow and gradual adoption of the real, final solution. This happened with the internet, and it has happened in many other cases. The problem is that we are spending hundreds of billions, potentially trillions, of dollars trying to figure out how to cross this chasm. So, what do we do? If we do not figure this out, people will reach the trough of disillusionment and say that AI was a joke. I think we need to be able to bring AI into highly complicated environments and make it work. What is my solution? At a very basic level, you need a symbolic space that guides the embedded space." ---- From "techniahqrobot" YouTube channel, (link in comment)

Excited to announce Volantis's $88M Series A. We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory. By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot. Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours. More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more. Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more. We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: https://volantissemi.ai/news-insights/our-88m-series-a-demolishing-the-memory-wall-with-photonics-post

Eric Schmidt: If I could invest in only 1 AI theme, it would be long reasoning. A model that can stay on 1 problem for hours/days is a completely different thing from a model that answers and stops, and most people still have not priced that difference. ---- From "Blackstone and Eric Schmidt" YouTube channel, (link in comment)

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)