Siddhant Ekale (@sidekale) profile picture

Architect @PalantirTech, opinions are my own

Palo Alto, CA
Joined January 2015
Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)Photo by Siddhant Ekale (@sidekale)
Last week at Palantir’s Sovereignty AI Bootcamp, I presented on the architecture behind Palantir AIP. Working on consequential workflows in the field has shown me that sovereignty spans the stack. It’s not just the model. It’s your data, compute techniques, the actions you can take, your people’s tribal knowledge, and the ontology that ties it together. In conversations with executives, I heard a clear desire to own their intelligence and make it compound. That takes people who know the work and a platform that helps them express that knowledge and put it to use. The model should be in service of you, helping you compound what you know and can do, not the other way around. $PLTR
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riffing on half formed & often strange ideas with great ppl is one of my absolute favorite things to do. & you know it’s magical when you arrive at a destination that neither of you could’ve arrived on your own. like a kind of improve if you will.
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I’ll tell you one ground reality about $PLTR. This TCV nitpicking or whatever else doesn’t matter. They’re growing at a steady pace of around 100%, with so much demand they can’t even meet it. If they wanted to take shortcuts like many others do, they could push far beyond what anyone can imagine. This story is far from over. They have so many levers they have yet to pull and can pull whenever they want. It’s still early.
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Architect @PalantirTech on Sovereign AI - “In conversations with executives, I heard a clear desire to own their intelligence and make it compound. That takes people who know the work and a platform that helps them express that knowledge and put it to use. The model should be in service of you, helping you compound what you know and can do, not the other way around.” $PLTR
Last week at Palantir’s Sovereignty AI Bootcamp, I presented on the architecture behind Palantir AIP. Working on consequential workflows in the field has shown me that sovereignty spans the stack. It’s not just the model. It’s your data, compute techniques, the actions you can take, your people’s tribal knowledge, and the ontology that ties it together. In conversations with executives, I heard a clear desire to own their intelligence and make it compound. That takes people who know the work and a platform that helps them express that knowledge and put it to use. The model should be in service of you, helping you compound what you know and can do, not the other way around. $PLTR
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Compounding Enterprise Intelligence $PLTR
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My friend and fellow Forward Deployed Architect @sidekale talking Sovereignty at the latest Sovereign Bootcamp this week! 🚀 youtu.be/c4-ibQiljiQ?is=SuAt…
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What Karp said about Sovereignty applies to consumer companies too! Is the model in service of you or are you helping reverse that narrative? Think about what you’re transacting… really thing about it
Yesterday's earnings call with Reddit's CEO will be referenced for years to come. Reddit, $RDDT, is now down -42% in 8 trading days. AI has disrupted search, and the internet more broadly, forever. Our thoughts on this are included below.
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$PLTR Palantir CEO Alex Karp at the company’s 3rd Institutional Sovereignty bootcamp today: “Our entire goal is to make sure that our partners protect their alpha. The sovereign movement is dedicated to making sure that you own your ability to succeed and at Palantir, we win if you win.”
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Extraordinary people without extraordinary work are a waste of potential. Better to be dumb and maximized than smart and leaving meat on the bone. The trouble is you don’t know which you are until you truly give it your all. So for no other reason than curiosity, it’s worth seeing the violence you’re truly capable of when you burn the boats and go all in.
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Agents are Adblock on steroids. 🤣
one of the most underrated shifts happening now is that ai is separating consumption from attention. i.e. historically in order to extract any real value from anything you consume, you had to give attention to that content directly (often painstakingly). this meant you had to sit there sifting through ads, sponsor messages, hidden promotions, filler content, & often crazy amounts of repetition too. agents break this relationship entirely. they *extract* value without requiring attention from *you*. that has a potentially devastating impact for any business that monetizes based on time spent rather than value delivered. it's like adblock on steroids for everything.
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i love that someone can give years of their life to a piece of software and leave its source to strangers, as if to say: what i have learned is yours; may you go further than i ever could. i would gladly spend my years in that kind of devotion, leaving something of myself in the things i build, that they might be of use to someone i shall never know.
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Negotiation is not a competition.
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Time to make interpretability and western open weights successful. We can retrain bad behaviors and also rely on partners that are geopolitically aligned with our values.
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…
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If your company refers to engineers as the IT department, you have nothing to worry about. You were already breached last week.
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I have a feeling Palantir Apollo is going to meet this moment in a indisputable way. There is no other stack I’ve seen to be as sophisticated at deploying, patching, fixing, releasing… $PLTR
think today’s php disclosure is a harbinger of things to come. these models will make us all safer by finding long lurking issues. however the entire software supply chain will need the muscles to rapidly build and deploy fixes. we might need a lot more public + private partnerships to secure infrastructure across the country.
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THE SOVEREIGN AI REVOLUTION IS IN FULL FORCE. We are helping our customers build superintelligence they own, with data they control. McCarthy Building fine-tuned Nemotron in Foundry on labeled RFI data in the Ontology to identify project risks before they escalate, outperforming frontier models at significantly lower cost. Tampa General is using sovereign AI to better protect patient data, keeping sensitive data and model processing local, and fine-tuning Nemotron models to classify LLM traffic against its own risk and privacy standards. NVIDIA is using Palantir AIP and Nemotron to accelerate its own supply chain, shortening the path from wafer to deployment, spotting disruptions before they hit production, and keeping its models under its control. L3Harris is bringing AI workflows in-house and building its own models trained on proprietary data to support critical defense use cases and the warfighter. Ondas is launching Regna AI on Palantir AIP, leveraging open-weight models including NVIDIA Nemotron, to help customers adapt, evaluate, and deploy mission-specialized AI while retaining control of their data, models, and infrastructure.
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$PLTR A Conversation with a Palantir FDE and Senior Architect | TSW 2026 🦄 Oct 20, 2026 Thomas Lah, Executive Director and EVP of TSIA, sits down with Siddhant Ekale of Palantir, for "A Conversation with a Palantir FDE and Senior Architect" at Technology & Services World 2026. Forward deployed engineers (FDEs) are the newest piece on the services chessboard. Companies across the technology industry are racing to build the capability, but few have seen how it actually works from the inside. In this main stage fireside chat, TSIA's Thomas Lah sits down with Palantir's Siddhant Ekale. Together they walk through the full sales motion: delivering value before a contract is signed, building pilots that go straight into production, and expanding from a first use case to scale across the enterprise. @sidekale 🦾🔮🦄🔥 youtu.be/GXH93BN9YUU?si=AZsI…
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the silliest way to lose a lot of money in 2026 is to hold onto stupid priors for dear life the second silliest is to make “safe” bets behind prestige vs. first principles evaluation of tech/business. if a company has fancy pedigree but is just losing…don’t fight the tape
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We started Arda in 2025 to speed up American manufacturing. We have spent the last year building with Anduril as our design partner. Today we are launching the company publicly on CNBC and announcing our Series A: $160M at a $1.5B valuation. Our platform helps manufacturers design and operate manual assembly lines, putting designs into production faster now. Next we'll build automated lines that can be reconfigured as quickly as human workers, letting America make products that now require armies of workers in Asia.
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