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"This is Maven Smart System—Palantir’s software as a service product that we are deploying across the entire department."

5,554,798 次观看 • 4 个月前 •via X (Twitter)

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“You didn’t read it”.. Burry’s favorite response to any criticism of his $PLTR article Okay, how about we address a direct paragraph from you about Palantir’s ontology: “What Palantir calls its ontology is essentially this data retrieval for use through a common platform. But what if, as the paper points out, LLMs can still confabulate around a piece of data, misinterpret it, ignore it, etc.? In that case, Palantir's ontology cannot overcome the core hallucination problem in the underlying LLMs AIP uses. Hallucinations and overconfidence are fatal to tasks such as legal reasoning, scientific reasoning, medical decision support, military targeting, and other truly mission critical tasks requiring 100% precision and confidence grounded in real data. The paper notes no current mitigation - including the RAG architecture central to AlP - can reliably solve this problem.” What if this. What if that. If my aunt had a dick, she’d be my uncle. We can do “what if” for eternity. How about we look at the impact? - You question the validity of Palantir’s software helping find Bin Laden. Okay, how about the confirmation here of Palantir’s software being used during the Venezuela operation? Thoughts? They could’ve swapped Claude for Grok. Doesn’t matter. They could not have swapped Palantir’s software for something else, though. The LLMs that you point out Palantir does not have, are a commodity. - How about this other example of the 18th Airborne Corps' artillery brigade reducing its targeting process from 724 minutes to 20 minutes with Palantir’s Maven Smart System? Is the ontology hallucinating there? - How about the Navy’s ShipOS, built on Palantir, decreasing schedule planning from 160 hours to 10 minutes? - What about the director of NATO’s Task Force Maven citing how critical the ontology here? “To capitalize on Al applications, an ontology and lineage for data is needed. Al applications don't understand context or meaning; they understand structure. A data ontology provides the machine With a common language and framework for defining concepts, their attributes and their relationships (for example, classifying a 'jet' as an 'air platform' with specific 'weapon systems'). Without this shared structure, an Al model trained on one system's terminology wouldn't be able to integrate data from another. MSS establishes this common schema across NATO systems, unlocking the possibility of interoperable Al applications. This interoperability and trust are paramount in a warfighting context.”: Which is more credible? Your Stanford paper, or a director at NATO who actually uses the software? You wrote 10,000 words, so it’s impossible to dissect the whole thing. If one tries to do so, you will just say they didn’t read it. So let’s take a look at this ontology paragraph specifically. Do you have any proof of the ontology failing? Or just this “what if” from a Stanford paper? There’s infinite examples of it being transformational.. that’s for sure.

Jack Prescott

24,154 次观看 • 5 个月前