Mitigating civilian harm is an essential part of AI-enabled military operations.
Great new paper by @PalantirPrivacy on how we're continuing to build foundational capabilities into the Palantir platforms for encoding critical doctrinal processes and ensuring auditability.
“Claude can help US kill more people more quickly ?”
Host: “With the help of LLMs, the US military has gone from hitting 1,000 targets a day to 5,000. That means Claude can help kill more people more quickly. Are you comfortable with that?”
Dario Amodei: “I am supportive of the US being more effective militarily. Having that ability be stronger doesn’t cause wars. It deters wars.”
“Do you want this country to be a more powerful actor on the world stage? I do. I’m a patriot.”
Link to the full white paper: assets.ctfassets.net/xrfr7uo…
“Getting a brief taste of ‘modern’ Windows feels like visiting Cuba or something.”
Apple’s “Pro and Tell” event in Los Angeles, the new MacBook Pros with PROLED XDR displays, and the state of the Macintosh platform.
daringfireball.net/2026/11/t…
In an era of linguistically adroit machines, there’s something mildly endearing about boneheaded phishing / scam emails
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Exquisite engineering, across this work...
In addition to contributing to the open Iceberg project, the team has preserved interoperability as they have extended core capabilities.
e.g., branching that isolates schemas, partition specs, and sort orders: palantir.com/docs/foundry/ic…
Apache Iceberg is now generally available in Palantir AIP.
Sovereignty at all levels of the stack.
Customers can now use an open, interoperable table format alongside the capabilities required to operate critical data: pipeline building, governance, security, lineage, and Ontology.
The full open standard, not some Palantir variant of it...... THE FULL OPEN STANDARD.
Managed Iceberg tables and Palantir’s Iceberg REST catalog are GA on standard Foundry enterprise environments. Tables can be stored in Palantir managed storage or a customer-provided bucket.
This means one bucket (yours, ours or theirs), one iceberg file, Palantir and your other Iceberg enabled systems working on the same physical file. Zero Data Copy.
Teams can build pipelines, perform row-level updates and changelog processing, create Ontology object types backed by Iceberg, analyze tables in with SQL, python or connect external tools directly to the catalog. Completely open.
Adopting and supporting an open standard means more than consuming it.
Our FDEs have also contributed back to the Iceberg standard to enable features we had built in Foundry but now is available as part of the standard for all, just a few examples:
- Table encryption in iceberg-rust github.com/apache/iceberg-ru…
- Incremental append scans, schema evolution, and other Iceberg features in Polars github.com/pola-rs/polars/pu…
- Incremental append scans and other contributions to PyIceberg github.com/apache/iceberg-py…
More about some of the new value add:
palantir.com/docs/foundry/an…
and
palantir.com/docs/foundry/ic…
...and transaction semantics that provide all-or-nothing commits, repeatable reads, and multi-table snapshot isolation: palantir.com/docs/foundry/ic…
"Lexus/Nexus"... 🤨
Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it.
The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.
"The computers went to analysts at the National Reconnaissance Office, or NRO, who used NeXT’s high-resolution screens and specialized chips to scan satellite imagery—to detect whether a country had moved its military, say, or if it was building a missile silo."
Ten years a former senior Pentagon official told me what I thought was an apocryphal story: American spies had saved Steve Jobs, and by extension, Apple.
Tracking it down became a personal obsession and the starting point for my new book, Valley of Death. I'm thrilled to share the excerpt about Jobs and the CIA published today in the @WSJ.
wsj.com/tech/steve-jobs-appl…
"Our entire business nearly doubled in the span of twelve months."
Replying to @PalantirTech
Read Palantir CEO Alex Karp’s Letter to Shareholders here: palantir.com/q2-2026-letter/…
...just one of many new Foundry features added in the last few weeks: palantir.com/docs/foundry/an…
An American, open-weights, 1T multimodal model
Bullish on sovereignty 🇺🇸
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/int…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Own Your Intelligence.
Our expanded thoughts on an institution’s freedom to pursue new opportunities, its economic rights, and its ability to expand them in the age of AI.
Please find attached our white paper, Institutional Sovereignty in the Age of AI, outlining the 15 steps governments and companies must take to protect both their sovereignty and their alpha.
assets.ctfassets.net/xrfr7uo…
This might be true if your job is primarily semantic. It is never true if your job is primarily kinetic.
"Open source AI is foundational to national security, public safety, and U.S. technology leadership."
BREAKING: Palantir $PLTR and Nvidia $NVDA expand their partnership to deliver sovereign AI for the US government and critical infrastructure agencies.
- The Partnership enables agencies to deploy, customize, and post-train NVIDIA Nemotron models on proprietary data.
- Combines NVIDIA AI infrastructure with Palantir platforms for sovereign, mission-critical AI.
- Gives customers control over data, IP, model weights, auditability, authorization, and post-training.
Once again, no matter what the model is…Palantir provides the infrastructure that makes any model operational to enable transformation within an enterprise.
Alex Karp: “Combining Palantir infrastructure with NVIDIA’s AI and Nemotron models will allow the U.S. government to unleash the full power of LLMs while removing the underlying security risks and rational concerns around proprietary insights migrating into the weights of closed models. Moreover, many of our US clients are already using these models, including multiple supporting critical US infrastructure — both private and public — and this will facilitate their radical expansion.”
Jensen Huang: “Open source AI is foundational to national security, public safety and U.S. technology leadership. Palantir’s Nemotron-powered intelligent engine shows how open models can strengthen America’s leadership in AI — giving U.S. government agencies a secure, customizable and fully controlled foundation to build mission-critical AI systems in support of national security.”
































