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LiveDaily AI-curated intelligence on Palantir Foundry, Ontology, AIP, Apollo, contracts, and community feedback. Updated automatically via GitHub Actions every day at 7 AM UTC.
AI-FDE Core Architecture Library
Palantir explicitly structures AI FDE around two tiers: Modes (the broad task at hand, e.g., data integration or ontology editing) and Skills (granular capabilities usable across multiple modes). This GitHub repository library mirrors this exact two-tier hierarchy — skill.md maps to Palantir’s Skills layer, agents.md maps to full Mode-level agent configurations. Your prompt library will sit as the execution layer beneath both. https://github.com/s-andthat/palantir-ai-fde-library Hopefully someone will find this useful. 1 post - 1 participant Read full topic
AI agents could easily send college grad unemployment over 30%, ServiceNow CEO says
Technology companies, including Block and Atlassian, have already cut jobs this year due to AI adoption.
Using LLM Models in Functions
Hi All, I was trying to do some summarisation in Functions, and I am wondering why I can bring in LLM models such as GPT-5 in Typescript v1 (Via importing models), however I can’t find a way to do it in Typescript V2, and Python. I am wondering if it’s possible to do this? Also, I understand there are ways around this, such as creating an AIP Logic, which would make more sense. I am just interested in why it isn’t possible? Kind Regards Sam 2 posts - 2 participants Read full topic
RemoteException: INTERNAL (Default:Internal) when writing embeddings to Ontology object via AIP Logic Action
Problem I’m building an AIP Logic pipeline that processes a PDF and creates a Knowledge Article object. The workflow is: Extract text from a PDF media reference Use an LLM to generate structured fields (Title, Short Description, Content, Category, Tags, Key Points, Content Type, Entities) Generate text embeddings using text-embedding-ada-002 Convert the embedding output to Array Call a Create Knowledge Articles ontology action to write the data to an object All upstream blocks execute successfully during preview (PDF extraction, LLM output, embedding generation). However, the final Ontology Action fails. Error RemoteException: INTERNAL (Default:Internal) Trace ID: 11896d79c7214279 Error ID: b4d93c5-95df-47fb-a560-f765603daa8b The failure occurs specifically in the Create Knowledge Articles action block. In the debugger, the action shows: Arguments: {} Even though all fields appear correctly mapped in
New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI
Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale. Available now, the model combines advanced reasoning capabilities to efficiently complete tas…
Nvidia’s Nemotron Super 3 model for agentic systems launches with five-times higher throughput
With so much talk about its upcoming Vera Rubin graphics processing units, it’s easy to forget that Nvidia Corp. doesn’t just supply the hardware for artificial intelligence. It also develops its own series of AI models, and today it announced the availabilit…
Is AI our agent, or are our governments becoming agents for AI?
Yet more billions are being spent on agentic AI, despite warnings of its potentially extreme fallibility. Just who are governments serving when they spout the messaging of Big Tech companies?
Anthropic in talks with Blackstone, other PE firms to set up AI joint venture: Report
Anthropic, maker of Claude AI, is in talks with Blackstone and Hellman & Friedman to form a Palantir‑style joint venture, despite tensions with the US Defense Department, which labelled the firm a supply chain risk.
Logs of functions (TSv1, TSv2, Python, AIP Logic, ...) as a dataset for analysis with custom arguments?
I want to analyze the logs of the execution of some of my functions: TSv1, TSv2, Python, AIP Logic functions, etc. I would like to understand what my users are calling those functions with (= “What are the usual inputs for my functions”) and what is the quality of the output of those functions (= “What are the output of my functions”). I would like to use this for retraining/prompt-tweaking/etc. How can I get a dataset with “logs” of the executions of my functions of a given scope (e.g. project) ? Can I get the inputs/outputs of those functions ? 2 posts - 1 participant Read full topic
Ontology Object Type + Link as context in AIP Logic
Hi! I have an ontology object type with a linked type that I want to use as context in an AIP Logic block. Goal: Pass fields from an object plus fields from linked object as a string input to the LLM. What I tried: I found that I can include both the object and the linked object using the Query Tool inside the LLM block. However, I can’t filter rows with this approach. Without filtering, the query pulls all rows, which makes this approach not scalable. OSQL row limits does not solve the problem because row precedence is undefined. How would I give fields from both objects from a filtered set as context? Thank you! Screenshot of current attempt below. Below is tools query of whole object + linked in LLM block 1 post - 1 participant Read full topic
Billing Info for AIP Developer Tier
Currently I am using AIP capabilities like AI FDE, AIP Logic. Will it charge me if I use these capabilities based on token usage? will it notify me before it starts billing? 2 posts - 2 participants Read full topic
langchain-palantir: A LangChain Integration with Palantir-provided LLMs
langchain-palantir I signed up for the Palantir AIP Developer Tier last year, and have since been experimenting with its capabilities. One of the most powerful aspects of the Developer Tier is the generous LLM inference offerings that are given for free, but generally those LLMs are only usable with AIP Agent Studio or via palantir_models , the AIP custom LLM inference library. In my spare time I have been developing langchain-palantir , a LangChain integration for Palantir-provided LLMs. langchain-palantir provides implementations of the standard LangChain constructs like ChatModel , Embeddings , and BaseLoader by wrapping calls to the palantir_models library. This library is open source (Apache-2.0) and usable in your own projects. I do not have a marketplace export file as my Developer Tier account does not allow that, so you’ll have to find a way to get the code itself into your own AIP account and build the Python library from there. Chat Models Chat M
The Honest Reason AI Will Beat Many Sales Reps: They Don’t Really Do A Lot Of The Work. But Agents Do and Will.
Here’s something I’ve been thinking about a lot lately. Everyone’s worried AI is coming for sales jobs. And yes, it is. But maybe not for the reasons you think. The uncomfortable truth? AI isn’t going to replace great sales reps. It’s going to replace the one…
Show HN: KarnEvil9, a deterministic AI agent runtime
Built this over the past few months because I kept hitting the same wall with agent frameworks. You run something, it does... stuff, and then you're left trying to figure out what actually happened and why.KarnEvil9 is a TypeScript runtime that implements the…
How to deal with timeouts on Automate based on AIP Logics?
Hi everyone. First time posting here Is there a good way to deal with timeout limit for automations based on AIP logic? There is an AIP logic that loops on large number of objects and the timeout on the relevant Automate is causing failures. 3 posts - 2 participants Read full topic
Local inference connector for AIP Logic — DDIL + classified data use cases
Howdy - Built an open-source connector that routes AIP Logic webhook calls to a local LLM via TARX (OpenAI-compatible API at localhost:11435). Uses @palantir/lohi-ts for Ontology sync on the OSDK side. Zero cloud exposure — designed for DDIL environments and data that can’t leave the device. Repo: https://github.com/tarx-ai/tarx-palantir-connector Two questions for the community: Network egress policy config for localhost Data Connection sources — any prior art or examples? Right path for Community Registry submission? JOHN | TARX 1 post - 1 participant Read full topic
A Knock on the Window and a Glimpse of America’s Surveillance Future
When agents came to his workplace armed with guns, gas canisters, and artificial intelligence, Abdikafi Abdurahman Abdullahi, known as Kafi, fought back with quick wit and street smarts. The Somali American engineer-turned-Uber driver is one of the few people…
How Amplitude implemented natural language-powered analytics using Amazon OpenSearch Service as a vector database
Amplitude is a product and customer journey analytics platform. Our customers wanted to ask deep questions about their product usage. Ask Amplitude is an AI assistant that uses large language models (LLMs). It combines schema search and content search to prov…