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A NASA scientist describing an “Protective AI layer above Earth.” Beatriz Villarroel’s research indicates what may be a vast "drone network" of objects operating around our planet—with the data potentially pointing to thousands if not 100,000 objects. Then there is The Sphere Network research, which presents a data driven...

30,065 views • 16 days ago •via X (Twitter)

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Andrej, This sounds extremely useful, and I think it might be even more significant than it first appears. What you describe is not just a knowledge base for information. The structure of the wiki, the queries you file back, etc, encode *how* you do research: which questions to ask, which connections matter, what's worth pursuing. That's “know-how” (in the sense of Michael Polanyi). This sort of knowledge is, currently, overwhelmingly absent from training data, because it was never written down (since there was no point). Now there is, because it significantly improves the AIs performance. But notice what's happening. You propose to build the most efficient mechanism ever devised for making tacit expert know-how / methodology explicit and machine-readable, and then transmitting it, via API, to a third-party model provider. Every query against the wiki is a reasoning trace: see attached video clip. The compiled wiki itself is a structured map of your research process. This is the mechanism described here: Expert know-how is being externalised and captured through ordinary productive use of AI tools. The user gets a better tool. The platform gets a transferable problem-solving strategy. The fact that this works so well could, in a sense, be the problem: the better it works, the more indispensable it becomes, the more know-how flows out, and, realistically, the less choice people have *not* to use it. Your instinct that "there is room here for an incredible new product" is right. But whoever builds it will be sitting on the highest-fidelity capture mechanism for expert know-how ever constructed. The question is: is the data subject to a “data network effect”, by which I mean, the kind of “data flywheel” which gave Google a 25 year monopoly over search? If so, you might be building not only more most powerful tool humanity has ever possessed, but this power might end up in the hands of a single entity. It would be great to hear your thoughts around this.

John Fletcher (𝔦, 𝔦)

41,341 views • 4 months ago

New video of what is a supposed UAP being struck by a Hellfire missile: Analysis What isn’t discussed at the hearing nor anyone who doesn’t have exposure to footage like this is the fact that the Hellfire missile doesn’t appear to detonate. This is important as it shows the missile only clipping the object, which most likely is a drone. If the missile doesn’t detonate and only clips one of the rotors of a drone (if that’s what this is), then it would explain why the drone could potentially recover and carry on…to a distance longer than the video shows but we don’t know how far that actually was. It could have eventually crashed in the water. Also, important to note that the authorization to use that munition signifies that the user was given a green light at targeting a potential threat. This isn’t done lightly. This means that it was identified enough to a degree to be a potential threat (like an adversarial drone) and was intentionally targeted. That wouldn’t happen if it was a truly unidentified objects or actual alien space ship. They would observe until it was deemed to be hostile in nature. This could also be a potential C-UAS test strike on the efficiencies of targeting in-flight drones with conventional munitions and how accurate they are. But more information needs to be presented to determine that. In conclusion, this appears to be nothing more than a failed strike of what was claimed to be a Hellfire missile on a traveling drone. The munition did not detonate, clipping the object but only to a degree that it still had flight capability after.

Chris Unleashed

288,723 views • 11 months ago