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.
Daily Palantir Intelligence Briefing — Thursday, August 27, 2026
Key Development
Palantir’s Maven smart-warfare initiative has officially transitioned into a Pentagon program of record, backed by a proposed $2.3 billion budget request spanning the next five years. This formal designation solidifies Palantir’s entrenched role in the U.S. military's long-term AI architecture, shifting the program from experimental deployment to institutional permanence and guaranteeing baseline multi-year revenue streams.
Market & Business
- Valuation & Momentum: Palantir (PLTR) stock has rallied more than 40% over the past month, driven by stronger-than-expected Q2 performance and surging enterprise demand. However, institutional positioning remains heavily scrutinized: high-multiple debates persist (trading at over 115x trailing twelve-month metrics), while insider activity shows co-founder Peter Thiel continuing his long-term pattern of scaling back equity stakes, and institutional shifts see ARK Investment Management rotating capital into alternative high-growth assets.
- Competitive Landscape: Defense leadership, including Under Secretary of War Emil Michael, highlighted structural risks regarding the concentration of military tech among a handful of major prime contractors, emphasizing ongoing policy pressure to broaden innovation pipelines despite Palantir's program-of-record win.
Strategic Implications
- Defensible Government Moat: The Maven program-of-record status provides a generational moat for Palantir within defense tech, effectively insulating its core federal segment from shifting annual budgetary whims and validating its software-first defense thesis.
- Sovereignty as a Commercial Catalyst: CEO Alex Karp’s ongoing emphasis on corporate data sovereignty—specifically warning enterprises against ceding proprietary reasoning tokens and operational data to underlying model providers—is increasingly becoming the central go-to-market wedge for enterprise AIP adoption.
Scraping content from URLs for downstream processing
I have a table that I am syncing into Foundry that contains URLs of websites I need to web scrape content from to use downstream. However, since Foundry has strict egress limitations, the content can’t be scraped from within Foundry. I am debating between 2 approaches - Create a connection to an external server/serverless function that can scrape and return content from a URL Pre-scrape the content before it is ingested into Foundry - In the database, instead of storing just the URL to scrape the content from, run a background task (from the application server) to scrape the actual content and store it in the database. Then ingest and process the content in Foundry. Wondering if anyone has had a similar use case before and how they approached it. 2 posts - 2 participants Read full topic
OpenAI proxy is breaking due to default value of emptry string for request serial numbers
At about 1 PM PT yesterday we started getting these errors using codex hooked up to the LLM proxy in Foundry: {"errorCode":"CUSTOM_CLIENT","errorName":"LanguageModelService:LlmHttpClientError","errorInstanceId":"84506645-b289-4125-b303-d950a646da7f","parameters": {"modelCreator":"Optional[OPEN_AI]","responseBody":"Optional[{\n \"error\": {\n \"message\": \"Invalid 'input[3].id': ''. Expected an ID that contains letters, numbers, underscores, or dashes, but this value contained additional characters.\",\n \"type\": \"invalid_request_error\",\n \"param\": \"input[3].id\",\n \"code\": \"invalid_value\"\n }\n}]","modelBackendId":"Optional[DIRECT_OPEN_AI]","errorType":"Optional[invalid_request_error]","errorMessage":"Optional[Invalid 'input[3].id': ''. Expected an ID that contains letters, numbers, underscores, or dashes, but this value contained additional characters.]","errorCode":"Optional[invalid_value]","statusCode":"400"}} The team found that the error occurs due to
SuperRepo: importing link types with underscore API names breaks block data generation ("LinkType id must be lower case with dashes")
We’re evaluating SuperRepo (beta) against a production ontology that was built up over time in Ontology Manager (~95 object types, ~180 link types). Importing the ontology at scale hits a hard failure in ontology block data generation that smaller trials haven’t surfaced. Environment foundry-cli 0.253.0, scaffold from superrepo-template-local @osdk /maker 0.55.0 (transform unchanged in 0.59.0), @osdk /maker-experimental 0.47.0 macOS, Node 25.9, pnpm 11.12.0 Repro foundry create a SuperRepo from the template. foundry import ontology --objects … including both endpoint object types of any link whose side API names contain underscores — e.g. a legacy link with side API names like owner_person_asset_1 / owner_person_asset_2. (Underscore API names are what Ontology Manager produced for links created a while back; newer links get camelCase names.) pnpm run build (or foundry start ontology). Result: INFO Starting ontology block data generation… Generating BlockG
AIP Evolve Questions/Feedback
Two Questions: The workshop application has a tab for Heuristics, but I don’t see anything in the workspace link. Also generally unclear what the scope of heuristics is: do they apply to any of my future sessions? globally? etc. There seems to be implication that there should be a way for me to provide feedback on the Evolve proposal, but I don’t see anything in the UI that suggests that as an option. If the intent is that i’d use global branching comments or provide it directly in the FDE session, that isn’t really clear anywhere. Also doesn’t help when my session created multiple different branch proposals and the button only links to one. E.g. I don’t see the ‘resume with feedback’ button anywhere like appears in the one docs page: 2 posts - 2 participants Read full topic
Action Type Groups to manage submission criteria as user stories
Similar to object type groups it would be great to group action types. Current painpoint: Keeping track of hundreds of action types spread across different modules within a usecase can be pretty exhausting. Searching for action types according to submission criteria is not possible - e.g. to find misconfigurations, and keeping them up-to-date or configuring them is exhausting as well. Very often, we have similar authorization on similar actions types e.g. when modifying or deleting an object. Or modifying and deleting different objects within the same userstory. Pain solved: Get an overview of parameter names and quickly see if action types e.g. for creating an object and modifying an object drift too much apart in their UX. Group action types per userstory and govern the submission criteria for the userstory - referencing the parameters in respective action types. - If an action type is part of multiple user storys, the respective submission criteria are adde
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