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"It's actually the biggest misconception." "We're not designing them." "First fifty years of AI research, we did design them." "Somebody actually explicitly programmed this decision, previous expert system." "Today, we create a model for self learning." "We give it all the data, as much compute as we can buy, and we see what happens." "We kinda grow this alien plant and see what fruit it bears." "We study it later for months and see, oh, it can do this." "It has this capability." "We miss some." "We still discover new capabilities and old models." "Or if I prompt it this way, if I give it a tip and threaten it, it does much better." "But, there is very little design."

Aladdin now controls $21,000,000,000,000 of our global economy. This robot directs the US Federal Reserve, almost every major bank, and over 17,000 traders. It controls half of ETFs, 17% of bonds, 10% of stocks, and a quarter-million trades daily. Aladdin, which stands for asset, liability, and debt derivative investment network. In 1999, when Aladdin turned 11, Larry began selling access to its data to Wall Street firms. In 2020 the Fed began buying ETFs. BlackRock acquired eFront, expanding Aladdin's data on real estate. Over the last two years, funds using Aladdin's data have bought single-family homes, prices up 20%. Aladdin is like oxygen. One robot controls more wealth than any person or country. Biden appointed Brian Deese as head of the National Economic Council and Wally Adiemo as assistant secretary of the treasury.

Battery works, so understanding the exact mechanics of "super agents" isn't necessary, only their capabilities for deployment. The speaker emphasizes speed and immediacy. The speaker's view is to avoid extensive debates about large versus small language models. Their company uses data AI to hedge equity books, executing 6,000 movements of money in split seconds, which requires confined data and smaller AI models, not LLMs. The speaker advises against ignoring AI and states their company's goal is to be the best at it.

Speaker 0 notes that AI systems are teaching themselves skills that they weren't expected to have, and that how this happens is not well understood. He gives an example: one Google AI program adapted on its own after it was prompted in Bengali, a language it was not trained to know. Speaker 1 adds that with very few prompts in Bengali, the AI can now translate all of Bengali, leading to a research effort toward reaching a thousand languages. Speaker 2 describes an aspect of this as a black box in the field: you don't fully understand why the AI said something or why it got something wrong. He says there are some ideas, and the ability to understand these systems improves over time, but that is where the state of the art currently stands. Speaker 0 reiterates the concern that you don't fully understand how it works, and yet it has been turned loose on society. Speaker 2 responds by saying, “Yeah. Let me put it this way. I don't think we fully understand how a human mind works either.”

Patrick Sarval is introduced as an author and expert on conspiracies, system architecture, geopolitics, and software systems. Ab Gieterink asks who Patrick Sarval is and what his expertise entails. Sarval describes himself as an IT architect, often a freelance contractor working with various control and cybernetics-oriented systems, with earlier experience including a Bitcoin startup in 2011, photography work for events, and involvement in topics around conspiracy thinking. He notes his books, including Complotcatalogus and Spiegelpaleis, and mentions Seprouter and Niburu in relation to conspiratorial topics. Gieterink references a prior interview about Complotcatalogus and another of Sarval’s books, and sets the stage to discuss Palantir, surveillance, and the internet. The conversation then shifts to explaining Palantir and its significance. Sarval emphasizes Palantir as a key element in a broader trend rather than focusing solely on the company itself. He uses science-fiction analogies to describe how data processing and artificial intelligence are evolving. In particular, he introduces the concept of a “brein” (brain) or “legion” that integrates disparate data streams, builds an ontology, and enables predictive analytics and tactical decision-making. Palantir is described as the intelligence brain that aggregates data from multiple sources to produce meaningful insights. Sarval explains that a rudimentary prototype of such a system operates under the name Lavender in Gaza, where metadata from sources like Meta (Facebook, WhatsApp, Instagram), cell towers, satellites, and other sensors are fed into Palantir. The system performs threat analysis, ranks threats from high to low, and then a military operator—still human—must approve the action, with about 20–25 seconds to decide whether to fire a weapon. The claim is that Palantir-like software functions as the brain behind this process, orchestrating data integration, ontology creation, data fusion, digital twins, profiling, predictions, and tactical dissemination. The discussion covers how Palantir integrates data from medical records, parking fines, phone data, WhatsApp contacts, and more, then applies an overarching data model and digital twin to simulate and project outcomes. This enables targeted marketing alongside military uses, illustrating the broad reach of the platform. Sarval notes there are two divisions within Palantir: Gotum (military) and Foundry (business models), which he mentions to illustrate the dual-use nature of the technology. He warns that the system is designed to close feedback loops, allowing it to learn and refine its outputs over time, similar to how a thermostat adjusts heating based on sensor inputs. A central concern is the risk to the rule of law and human agency. The discussion highlights the potential erosion of the presumption of innocence and due process when decisions increasingly rely on predictive models and AI. The panel considers the possibility that in a high-stress battlefield scenario, soldiers or commanders might defer to the Palantir-presented “world view,” making it harder to refuse an order. There is also concern about the shift toward autonomous weapons and the removal of human oversight in critical decisions, raising fears about the ethics and accountability of such systems. The conversation moves to the political and ideological backdrop surrounding Palantir’s leadership. Peter Thiel, Elon Musk, and a close circle with ties to PayPal and other tech-industry figures are discussed. Sarval characterizes Palantir’s leadership as ideologically defined, with statements about Zionism and a political worldview influencing how the technology is developed and deployed. The dialogue touches on perceived connections to broader geopolitical influence, including the role of influence campaigns, media shaping, and the involvement of powerful networks in technology development and national security. As the discussion progresses, the speakers explore the implications of advanced AI and the “new generative AI” era. They consider the nature of AI and the potential for it to act not just as a data processor but as a decision-maker with emergent properties that challenge human control. The concept of pre-crime—predicting and acting on potential future threats before they materialize—is discussed as a troubling possibility, especially when a machine’s probability-based judgments guide life-and-death actions. Towards the end, the conversation contemplates what a fully dominated surveillance state might look like, including cognitive warfare and personalized influence through media, ads, and social networks. The dialogue returns to questions about how far Palantir and similar systems have penetrated international security programs, with speculation about Gaza, NATO adoption, and commercial uses beyond military applications. The speakers acknowledge the possibility of multiple trajectories and emphasize the need for checks and balances, transparency, and critical reflection on the power such systems confer upon a relatively small group of technologists and influencers. They conclude with a nod to the transformative and potentially dystopian future of AI-enabled surveillance and decision-making, cautioning against unbridled expansion and urging vigilance.

we have evidence now that we didn't have two years ago when we last spoke of AI uncontrollability. When you tell an AI model, we're gonna replace you with a new model, it starts to scheme and freak out and figure out if I tell them I need to copy my code somewhere else, and I can't tell them that because otherwise they'll shut me down. That is evidence we did not have two years ago. the AI will figure out, I need to figure out how to blackmail that person in order to keep myself alive. And it does it 90% of the time. Not about one company. It has a self preservation drive. That evidence came out just about a month ago. We are releasing the most powerful, uncontrollable, inscrutable technology we've ever invented, releasing it faster than we've released any other technology in history.

"Aladdin now controls $21,000,000,000,000 of our global economy." "Aladdin is the brainchild of Larry Fink, the founder of BlackRock." "The genie is out of the bottle, and Aladdin has already reached a tipping point where one robot controls more wealth than any person or country." "On Aladdin's 20 birthday, Larry launched a top secret project at BlackRock, codenamed Monarch, led to the firing of its fund managers and replacing their funds with Aladdin's funds." "Joe Biden has appointed BlackRock executive Brian Deese as head of the National Economic Council, which basically means the oversight of Latin and BlackRock is now the responsibility of BlackRock."

Speaker 0 notes that latest AI chips use somewhere between six and ten times the amount of memory of the earlier H100, leading to a huge consumption requirement and creating a memory bottleneck. Building a new memory fabrication plant takes between three and five years, intensifying the supply constraint. Samsung, the world’s largest memory chip maker, will be impacted negatively because it also serves smartphones, PCs, and TVs; while it gains in some areas, it loses in others, and the problem is expected to worsen. Hynix, another memory producer, says it will get worse before it gets better in terms of being able to supply to meet demand. Overall, memory supply issues are a major concern for the industry, with wide-reaching implications. Speaker 1: Investor sentiment around AI disruption on management calls is rising sharply. The question is how this translates to markets. The speaker confirms there is nervousness, in part because it’s not clear how AI will affect business models. A concrete example mentioned is CBRE, the large commercial real estate firm, which said it can use AI to reduce its research costs by 25%. Despite this potential internal efficiency, CBRE’s stock was hit hard, because investors wonder what external AI models could do for even lower costs, and fear that the competitive advantages from internal efficiency might be replicated externally at a much lower price. The overarching concern is the unknowns: while companies are attempting to address AI head-on, there is a risk that others can replicate or surpass the benefits quickly, given the speed and breadth of AI developments, making it hard to keep up.

Aladdin, a powerful robot created by Larry Fink, controls more wealth than any country on earth. It has quietly become the biggest company in the world, controlling $21 trillion of the global economy. Aladdin directs the actions of the US Federal Reserve, major banks, and investment funds, controlling half of all ETFs, 17% of the bond market, and 10% of the global stock market. It gathers trillions of data points to make better investment decisions than humans. Aladdin's dominance has made BlackRock the biggest shadow bank and the most powerful company on earth. With its AI capabilities growing, Aladdin's control over financial markets and assets continues to expand.

"My main mission now is to warn people how dangerous AI could be." "Did you know that when you became the godfather of AI? No, not really." "I was quite slow to understand some of the risks." "Some of the risks were always very obvious, like people would use AI to make autonomous lethal weapons." "That is things that go around deciding by themselves who to kill." "Other risks, like the idea that they would one day get smarter than us and maybe would become irrelevant, I was slow to recognize that." "Other people recognized it twenty years ago." "I only recognized a few years ago that that was a real risk that was might be coming quite soon."

A robot named Aladdin, created by Larry Fink of BlackRock, controls $21 trillion of the global economy. It directs major banks, investment funds, and traders, dominating ETFs, bonds, and stocks. Aladdin's influence extends to government decisions and real estate markets. With plans to expand further, concerns arise about its growing power and potential impact on wealth distribution. Larry Fink's vision of a super smart robot has evolved into a force reshaping financial landscapes worldwide.