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Eliano A Younes
@eliano
562 Following    25.8K Followers
.@DavidSacks says Palantir CEO Alex Karp is brilliant and completely correct: companies must own their means of production if they don't want to transfer their alpha to OpenAI and Anthropic. "Enterprises are at risk of transferring their knowledge, their know-how, their trade secrets and their customer data to model providers who might eventually decide to compete with them." "Enterprises are waking up to this threat, and they're not happy about it. I think Karp is exactly right about that." "What safety means for an enterprise is—they get to control their own data, their model weights and their compute, so a frontier lab can't hoover up their proprietary knowledge, their alpha, and turn it into their next product." "Look at what happened to Figma. Anthropic 'blindsided' its then business partner with the launch of Claude Design." " Anthropic's chief product officer even served on Figma's board and didn't resign until three days before the launch of Claude Design." "This is not an isolated example." "Anthropic has also launched Claude Science, Claude Security, Claude Legal, Claude Financial, and of course, Claude Code." "Every single one of these vertical apps expanded into categories that was previously served by companies building on top of Anthropic's own models." " They're watching where the value is being created on top of their models, then they're moving in directly." "The pattern is clear. They are going to use their dominant position in the model to then grab more and more territory in any interesting and lucrative vertical." " Back to Alex Karp's point: if you're an enterprise customer or a developer, why in the world would you ever want to share any proprietary data with them?" "You are mortgaging your future. You're sealing your fate. You are going to lead to disaster for your company." Via @theallinpod @jason @chamath @friedberg
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I have seen a few posts about Palantir supporting Chinese open source models, so let me be very clear: this is NOT what we are saying. We are saying that we should and are investing in U.S. based open source models; not only by making open-weight models like Nemotron from NVIDIA accessible across our platforms, but also by providing the tools to evaluate, tune prompts, change architecture, and run all combinations across model providers and families. The tool is called Evolve. This also extends to what we just released with NVIDIA as part of our Sovereign AI OS, called the Intelligent Engine for Open Weight models: This Intelligent Engine allows customers to run Nemotron models in sovereign environments with our critical infrastructure products….AIP, Ontology, Foundry, and Apollo. It will also enable customers to fine-tune these open-weight models for their domain-specific workflows, all securely inside their controlled perimeter. Combined with our domain-optimized harnesses around the Ontology, Nemotron models deliver frontier capabilities for specialized workloads while enabling organizations to retain control of their data, intellectual property, and AI systems.
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@chadwahl the Microsoft logo in the background is a nice touch
@chadwahl the Microsoft logo in the background is a nice touch
coming soon to a cigar near you 🇺🇸 🔥
Karp was right, again
The future of the firm is a learning loop in which human capital and token capital compound. With our new Frontier Co., our ambition is to help every enterprise build its own AI capability, and to help create a frontier ecosystem where every organization can turn its knowledge, workflows, and judgment into its own AI systems that continuously improve.
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Buying AI tools does not make your company AI first. Wielding it in specific domains to solve problems that otherwise are really hard to decompose is where you’ll generate alpha. Palantir is in the business of that. We see LLMs as an extremely useful tool, but it’s not the whole picture and the moment you make it that, all you’ve done is increased CapEx.
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Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"
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ontology, ontology, and ontology
Palantir CEO Alex Karp: "When OpenAI or Anthropic especially are talking about critical infrastructure—it only is being used in our product. My product." "Just so you see I'm not throwing shade—Dario is a literally historic figure." "He came from behind, and he's now number one." "I've been in business for a long time. Never seen anything like this." "The reality is—critical infrastructure does not run these models without an application layer. In almost all cases, and maybe it won't be all cases someday, that application layer is our ontology. That's a fact." Via @CNBC
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Palantir CEO Alex Karp says enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic: "Why are [LLMs] charging for tokens if it's so valuable?" "If it was so valuable—let's say I can make you a billion dollars tomorrow. Wouldn't I say, 'I'll make you a billion dollars, and I want 30%?'" "Look at our financials. The reason why everyone is chillaxing with bad financials and growth while losing money, is the client refuses to pay the true cost." "The two places that actually make money—profit, free cash flow—are our application layer called ontology, and compute." "We can get the frontier application to be exactly the same as a frontier model without the risk of transferring the alpha of your business to another." Via @CNBC
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Palantir CEO Alex Karp on OpenAI's @sama and Anthropic's Dario Amodei: "Something has gone completely wrong, and the basic view among enterprises in this country is, "I'm going to chillax, waste my time with tokens, get no value, and they're going to get my IP." "There's nothing more fun than debating Dario in private." Via @CNBC
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🚨BREAKING🚨 new thoughts just dropped
Our thoughts on the importance of AI sovereignty. 1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss. 2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underlying data to generate new insights. Transferring that data hands over access to your pre-existing winning plays and yields the means of production for new ones. 3. Tokenmaxxing hijacks your value orientation and decreases your institutional fortitude and intelligence. The pursuit of high token usage incentivizes disposable scripts over robust software — with the addictive feeling of false progress. There is a reason why those selling tokens refuse to charge based on value. 4. Controlling your weights is controlling your fate. Weights are the distilled form of hard-won, accumulated institutional knowledge. If you let others control your weights, you are allowing them to migrate the alpha of your business to theirs. 5. There is no contradiction between sovereignty and alpha. The architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha. 6. Politicizing the technical issues involving sovereignty is what your adversary wants. Techno-politicization is the wellspring of false sovereignty. Techno-politicization drives decisions that seem to reduce dependency, but ultimately limit agency — especially on the battlefield in the West. 7. Real expertise is existential. Allowing politics or favoritism to determine your technical decisions rewards whoever is best at politics, not whoever is right. Listen to those closest to the problems, not those speaking most compellingly about them. 8. Learn from institutions that are winning or that have consistently delivered. Institutions facing existential threats do not have the luxury of making technical decisions based on political preferences. 9. Only listen to institutions, countries, and people who have a proven record of being right. A track record of correctness is the best and only signal for future correctness. Judging something as right or wrong based on who you like is exceedingly misguided.
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you should subscribe to the Palantir store mailing list #notfinancialadvice#
Karp was right, again
AWS is committing $1B to a new Forward-Deployed Engineering org for AI These engineers will embed directly inside customer companies to help build and deploy AI agents in their own AWS environments. Reuters says AWS expects engagements around 45 days, with engineers writing production-level code and helping customers adopt AI faster. Early customers include the NBA and Ricoh. This follows the same direction as OpenAI and Anthropic, which both launched their own enterprise AI services/FDE-style ventures this year. The AI enterprise race is now about who can get AI systems deployed inside real companies.
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I take full responsibility [July 9, 2026]
on this day we become legendary
Today @Dell + @PalantirTech announced Foundry, Ontology, and AIP on Dell AI Factory with @nvidia On-prem. Zero-trust. Operational grounding on infrastructure you own.
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appreciate everyone that placed a bid last week. posters went for an avg of $1,077, with all of the funds going to @TAPSorg thank you to @Quartr_App for the artwork and continued partnership in this effort.
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🇺🇸NOW LIVE🇺🇸 we're auctioning TEN @Quartr_App posters signed by Palantir [ $PLTR ] CEO Dr. Alex Karp. auctions ends Friday at 12pm est all funds will go to @TAPSorg, which provides compassionate care and resources to all those grieving a death in the military or veteran community. place a bid, here:
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