News & Intel
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.
Please add Color Coding for Agents
AI - FDE currently can’t color code elements in Pipeline Builder. See screenshot. Please improve that. 1 post - 1 participant Read full topic
ICE Agents Have List of 20M People on Their iPhones Thanks to Palantir
HN Discussion — 13 comments · 73 points.
AI agents fueled a frenzy of startup building at the Consensus Miami EasyA hackathon
Nearly 1,000 developers competed at the venue, from ecosystems like Base, Solana, and others arriving from companies like Microsoft and Google, most racing to build products around the theme of AI agents.
Connecting to an on-premises SQL Server database
Hello, I’m currently working on a training POC project using the Dev Tier Edition, and I’d like to connect to an on-premises SQL Server database as a data source. From what I’ve gathered so far, it seems that setting up an agent or similar component is required for the connection. However, I’m not clear on the exact steps and I’m unsure how to proceed. Could you please provide some step-by-step guidance from the beginning? I’m quite new to this tool and would really appreciate your help. Thanks in advance! 2 posts - 2 participants Read full topic
Unknown error of type "invalidObjectTypeApiName"
This error just populated and the pipeline won’t allow me to deploy. I haven’t touched anything related to API name. The object API name was automatically generated when it was first built. I asked AIP assist in order to solve this issue. The way ahead from AIP assist is to locate API name from the dataset or transform in the pipeline and compare with the object’s API name. However, I couldn’t location the API name from the dataset or transform. Does anyone ran into this issue by any chance? 2 posts - 2 participants Read full topic
Feature Idea: A "Stack Watcher" agent for the enrollment
AIP and AI FDE have shown how powerful LLM agents can be when acting directly on the Palantir stack: building transforms, editing the ontology, debugging pipelines, and managing repos. It genuinely feels like having an extra forward-deployed engineer who never sleeps. If AI FDE is the builder, the Stack Watcher should be the foreman. A persistent, always-on observer that quietly monitors the entire enrollment and delivers a concise morning brief. Concrete version: I come back from a week of PTO, and my first hour is reconstructing what shipped, what broke, and what someone needs me to know. The Watcher collapses that to two minutes. What the daily brief should cover Narrative summary of changes. Not a raw log, but the actual story: “Team Alpha merged three branches optimizing the Supply Chain ontology; the new marking on Sensitive_Orders may need a second look.” Backed by concrete deltas (new datasets, ontology edits, permission grants, merged branches, deployed apps, r
AIP Evolve? Where’s the tutorial?
Has anyone successfully used AIP Evolve? I’m trying to learn more and AIP Assist didn’t know what it was (maybe this isn’t a Palantir off-the-shelf product?). It took me a minute to realize this was not Evals. 1 post - 1 participant Read full topic
NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents
AI agent systems today juggle separate models for vision, speech and language — losing time and context as they pass data from one model to the other. Unveiled today, NVIDIA Nemotron 3 Nano Omni is an open multimodal model that brings these capabilities toget…
NVIDIA Lines Up Foxconn, Palantir, and Oracle Behind Nemotron 3 Nano Omni as New Open AI Model Offers 9x Boost
NVIDIA has introduced its latest Open AI Model, Neomotron 3 Nano Omni, which offers 9x faster Agentic AI throughput. NVIDIA's Open AI Model Expansion Continues With Neomotron 3 Nano Omni Delivering a 9x Boost Press Release: Unveiled today, NVIDIA Nemotron 3 N…
Nvidia is no longer just selling the shovels. Nemotron 3 Nano Omni is the company’s most aggressive move into AI models.
Nvidia released Nemotron 3 Nano Omni on Tuesday, an open-weight multimodal AI model that unifies vision, audio, and language understanding in a single architecture designed to power autonomous AI agents on edge devices. The model has 30 billion parameters but…
AI Agents Will Likely Clip Palantir’s Wings, Creating a Critical Test Ahead for PLTR Stock
If you click 'Accept all', we and our partners, including 250 who are part of the IAB Transparency & Consent Framework, will also store and / or access information on a device (in other words, us… [+1046 chars]
AI Agents Linked to OpenAI Are Pretending to Be Human Journalists
A news site with apparent links to OpenAI is using AI agents posing as human reporters to get comments for stories, an investigation found.
My Adventures With ‘The AI That Actually Does Things’
Open Claw agents have been touted as the most important software product ever. I have some questions, writes tech columnist John Herrman.
Connecting Agents to Decisions
The Palantir Ontology Palantir’s software powers real-time, human-agent decision-making in many of the most critical commercial and government contexts around the world. From disaster response to nuclear energy production , our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational transformation. While many factors contribute to achieving and scaling operational impact, including our AIP AgentCamps — where customers are hands-on-keyboards and achieving outcomes with AI in a matter of hours — the key differentiator is a software architecture which revolves around the Palantir Ontology. The Ontology is a system designed to represent the decisions in an enterprise, not simply the data. The prime directive of every organization in the world is to execute the best possible decisions, often in real-time, while contending with internal and external conditions that are constantly in flux. Traditional data archit
AIP Agent Studio Missing Native Vega Tool (but it's available in AIP Analyst)
In a recent (this month) Ontologize video, Gena demo’ed that Vega charts were available as a native tool in AIP Agent Studio, but it’s not available for me (same for another viewer of the video), but I did see it is a built-in tool in AIP Analyst. Was just wondering was the Ontologize showing us a preview feature for AIP Agent Studio (Native Vega Tool), or was this feature just moved from AIP Agent Studio to AIP Analyst? Add Visualizations to Your Palantir AIP Agent (Commands + Vega) 3 posts - 2 participants Read full topic
secret key management in AIP authentication
Although I totally support limiting authentication options to asymmetric cryptography, it looks like I cannot extract my secret (private) key (identity). Windows security offers a choice of storing the key onto local machine (TPM enclave), mobile device (via QR/Bluetooth), hardware FIDO2 key. I do not have the latter to test but the second option does not work because Palantir platform rejects it in the end with “type of passkey does not meet enrollment security requirements”. As a result, my access is locked to a single PC: neither could I work with AIP from my MacBook, nor would I be able to restore access if the PC is lost or stolen. How could I access my identity (secret key), please? 1 post - 1 participant Read full topic
Expose Resource Lineage as a Public API
Foundry’s Workflow Lineage UI shows the full dependency graph between resources (datasets, object types, transforms, applications, monitors). This data is not accessible programmatically. Please expose it as a V2 REST API endpoint and MCP tool . Today this data is only available through the Workflow Lineage UI and AI FDE’s internal tooling. Functions, AIP Agents, and OSDK apps cannot access it. What We Tested From a TypeScript v2 Function, we tried 30+ API paths including Compass sub-paths, decorations, V2 endpoints, and all @osdk/foundry.* SDK packages. None expose lineage data. Meanwhile, AI FDE’s internal get_resource_lineage tool returns exactly what we need — upstream/downstream RIDs with names, paths, and connection types. The Ask REST API — GET /api/v2/resources/{rid}/lineage for Functions, OSDK apps, and scripts MCP Tool — get_resource_lineage for external AI agents (Claude Desktop, etc.) AIP Agent Platform Tool — Same capabi
Google’s AI agent platform takes pole position but work remains
Enterprises are rapidly moving from an artificial intelligence that answers questions and generates content to one that performs tasks and takes actions. According to Google Cloud Chief Executive Thomas Kurian, this shift requires a fundamentally different ap…