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Sam Altman tells staff at an all-hands that OpenAI is negotiating a deal with the Pentagon, after Trump orders the end of Anthropic contracts
The negotiations come as rival Anthropic is locked in a more contentious standoff with U.S. defense officials.
Trump orders federal ban on Anthropic software over 'leftist' restrictions on military AI use
US President Trump ordered all federal agencies to cease using Anthropic’s Claude AI, citing a refusal to allow unrestricted military use. He has set a six-month phase-out for the DOD.
Hegseth Designates Anthropic As Supply Chain Risk After Trump Bans Government Us
Anthropic rejected a request from the Pentagon to allow it to have unrestricted access to its AI model, taking issue with the agency using the model for mass surveillance and fully autonomous weapons.
White House Moves to End Federal Use of Anthropic’s Claude AI
The White House is telling federal agencies to stop using Anthropic’s artificial intelligence (AI) products, a sharp escalation in a dispute that started inside the Defense Department but now touches the broader government. The Wall Street Journal (WSJ) repor…
Anthropic calls Pentagon's supply chain risk tag 'unprecedented', vows to challenge in court
The company argued that current frontier AI models are "not reliable enough" for fully autonomous weapons and warned that such use could endanger US troops and civilians.
OpenAI reaches deal to work with Dept. of Defense classified documents, CEO Altman announces
“Tonight, we reached an agreement with the Department of War to deploy our models in their classified network,” Sam Altman said in a statement.
Anthropic's dispute with the DOD raises critical questions for US military partners like Nvidia, Google, Amazon, and Palantir, which work closely with Anthropic (Wired)
Wired: Anthropic's dispute with the DOD raises critical questions for US military partners like Nvidia, Google, Amazon, and Palantir, which work closely with Anthropic — Anthropic says it would be “legally unsound” for the Pentagon to blacklist its technolo…
Anthropic and Palantir Bring Claude to U.S. Intelligence and Defense (2024)
HN Discussion — 0 comments · 1 points.
Dynamic Group-By in Function-Backed Workshop Chart Breaks “Selection as Filter” Mapping
Hello, I’m building a Workshop dashboard in Palantir Foundry using a function-backed bar chart over an Ontology ObjectSet. The chart allows users to select a group-by dimension from a dropdown (e.g., different properties) and displays the Top N by a chosen measure. Users can also filter between “Hit” and “Miss” before aggregation. The issue arises when I try to use the “Selection as filter” feature to filter a table or another visualization based on the bar chart selection. Workshop requires mapping the selection to a specific Object Type and Property. However, since my group-by property is dynamic (changes with the dropdown), the filter mapping breaks when the group-by changes, and filtering no longer works as expected. Is there a best practice or workaround for enabling selection-based filtering when the group-by property is dynamic in a function-backed chart? Thanks 1 post - 1 participant Read full topic
Edit inline Object properties Ontology with Action Typescript
Hello, I’m using inline editing on several properties, but I’m encountering a problem because some properties need to be calculated based on others. For example: a date, Forecast Date = T0 + 3 days. So when I perform inline editing on T0, the Forecast Date needs to update. How can I perform this calculation within my editable action without using a TypeScript function? Because inline editing doesn’t support TypeScript. Thank you for your help. 4 posts - 2 participants Read full topic
Edit inline Object properties Ontology with Action Typescript
Hello, I’m using inline editing on several properties, but I’m encountering a problem because some properties need to be calculated based on others. For example: a date, Forecast Date = T0 + 3 days. So when I perform inline editing on T0, the Forecast Date needs to update. How can I perform this calculation within my editable action without using a TypeScript function? Because inline editing doesn’t support TypeScript. Thank you for your help. 1 post - 1 participant Read full topic
Error in Ontology SQL Tool during AIP Logic LLM Calls
I am trying to use the LLM in AIP Logic with the Ontology SQL Tool. My objective is to make the AI Agent do a quick analysis about an ontology type. However, the Ontology SQL Tool produces wrong SQL, and the error message is unclear: SQL Syntax Error: Unknown SQL parsing error at line -1, column -1 near: SELECT `employeeId` AS `employeeId`, SUM(`duration`)/3600.0 AS `total_hours`, SUM(IF(`date` IN ('2026-01-25','2026-01-31','2026-02-01','2026-02-07','2026-02-08','2026-02-14','2026-02-15','2026-02-21'), `duration`, 0))/3600.0 AS `weekend_hours` FROM `TimesheetItems` WHERE `date` >= '2026-01-25' AND `date` <= '2026-02-21' AND `employeeId` IN (1,2,3) GROUP BY `employeeId` ORDER BY `employeeId`; (dialect: SPARK) In one case, the same error “Unknown SQL parsing” happened 3 times in a row. My current prompt is: Generate a summary of the team's effort over the last 4 weeks for a weekly report to the team lead. Consider 4 weeks from the last Sunday. **Employe
Rolling Window Dataset
What options are there for creating a rolling window dataset? In my scenario, I have an incremental pipeline that reads from a snapshot dataset that is updated daily and only the data for the current day is written to the incremental dataset. After 365 days I will have 1 year’s worth of data. For rows with a timestamp older than 1 year, they should not be in the incremental dataset. 2 posts - 2 participants Read full topic
Bug Report: Action type used by Agent displays "0 Dependents"
While cleaning up my ontology and deleting unused actions, I noticed that AIP Agent Studio is using some actions that are showing zero dependents in the action type overview. Please add AIP Agent Studio to the action type dependents in order to prevent against accidentally deleting these action types that agents depend on. 1 post - 1 participant Read full topic
How can you call variable like this in AIP logic?
Hi, I am studying about Build with AIP example “ Leverage feedback loops in AIP Logic” However, there is something I’ve never seen and how to do it. In the picture above, relaventInstructions variable is called by its whole object sets. but if I call the variable, I can only call properties and formatted variable. if there anyone who knows how to call the whole object set variables?? Regards, 2 posts - 2 participants Read full topic
What is going on in usw-3.palantirfoundry.com
All of a sudden I just started getting error like: The error Internal Error: AttributeError: 'NoneType' object has no attribute '__dict__' indicates that a NoneType object is being accessed in your code where an object with the __dict__ attribute is expected. This is likely due to a variable or result being None and not properly handled. Suggestion: This is an internal error in Foundry, and you may not have direct access to the underlying issue. I suggest contacting Palantir support for further assistance. They can analyze the environment setup and configuration to identify the root cause. If possible, ensure that any function or variable in your code is properly validated and isn't returning None unexpectedly. If it is related to your code, review areas where objects are being created or fetched. If you suspect an issue in your environment setup, ensure proper configuration as mentioned in the documentation around retries or schema extraction: Documentation Links Used: Retries
The Pentagon/Anthropic Clash Over Military AI Guardrails
[Jessica Dorsey is an Assistant Professor of International Law at Utrecht University School of Law; Elke Schwarz is a Professor of Political Theory at Queen Mary University London; Ingvild Bode is a Professor of International Relations, University of Southern…
Redistricting pits Democratic colleagues and allies against each other in Texas
The new Texas congressional map that kicked off a nationwide redistricting fight last year was designed to boost Republicans in the midterm elections.