
Grég
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Grég
@GregB16
$PLTR bull OG since Wednesday, September 30, 2020. “The winners in AI will be powered by Palantir and the losers will read analyst notes” - CEO Dr. Alex Karp




SpaceX entre en Bourse : faut-il acheter un bout du rêve d’Elon Musk ? Cinq choses à savoir avant de se lancer ➡️ l.leparisien.fr/Hifc





At this point every CEO should be asking what their strategy is to avoid model lock-in. If it isn’t clear what Anthropic is doing, it is: - build something amazing - decide who gets to use it after you prompt it if the prompt falls into areas they deem unacceptable by their sole standard To be clear this is completely above board and legal. It’s just an idiotic risk for corporate users to bear especially as the coding models become equivalent. The business continuity risk will become more obvious as companies accidentally trip over Anthropic’s ToS and have to decide if they will subsume their business viability to them by doubling down on Anthropic models or find open source (and, btw, much cheaper) alternatives where they are in control. As stated previously, get ready to be inundated with the term “control plane” which is the natural solution to this problem. Shameless plug - this is what 8090’s been building as we expected this moment to arrive… If you’d like to learn more: 8090.ai





Here's the source: The Times reports Palantir’s Sepsis Hub at Tampa General Hospital (Florida) cut early sepsis death rates by 68% via real-time alerts for faster antibiotics. Hospital confirms it’s saved 700+ lives with 30% shorter stays. thetimes.com/uk/healthcare/… Hospital statement: tgh.org/news/tgh-press… Data from their partnership + Palantir Foundry platform. Not bullshit.




$PLTR Dr. Karp on @PalantirTech biggest secret to WINNING! The most effective Sales Secret in the world- AIP 2026 Palantir's most effective sales approach isn't aggressive traditional selling or a huge sales force. Instead, it's letting customers experience the limitations of raw frontier LLMs (from companies like OpenAI, Anthropic) first. ~LLMs solve some problems (generating text, basic reasoning) but create bigger enterprise issues: data chaos, lack of governance, integration failures with messy real-world systems, security/compliance risks, hallucination in high stakes ops, and no "ownership" of the full workflow. ~Customers then realize generic LLM providers treat them as just another user (they "don’t care about you" in the sense of deep customization or enterprise control). ~Palantir's AIP steps in with its Ontology layer (a digital twin of the business that maps data, enforces rules, and powers secure, controllable AI agents). This lets organizations integrate models into their actual operations, maintain control, and "own the means of production" rather than depending on black-box vendors. Palantir focuses on value creation through deployed, trustworthy systems (often charging based on outcomes or % of saving, or basically FREE), not just software licenses. It reduces reliance on a large sales team because successful pilots and word-of-mouth from real deployments "sell themselves" in a low-trust AI environment. Source: youtube.com/watch?v=F9HFHE…














