3c.3 AIP/FDE demos
These demos are my own, created by prompting AIP/FDE for the steps. (for details see 3c.2 PAL AI dev assistants about AIP/FDE led help.)
TOC
- Demo 9: HN demos (haystack needle, with/without AI model). (HN = find small anomalies in mountains of data)
- What has interested me the most about Palantir for over a year now are the “haystack needle” (HN) algorithms. This was the original reason for the founding of PAL. 9/11 occured because the US government failed to detect obvious warning signs in a sea of data. PAL’s job was to make sure that that did not happen again by creating a system that could sift through vast amounts of data (about, for example, a sudden surge in foreigners studying to fly large airliners) to flag potential threats. To find the needle in the haystack.
- But how exactly did they implement the HN algorithms? That’s of practical interest currently because
- (1) those HN techniques are being used in all business segments (not just military and intelligence) and
- (2) you can learn the details hands-on yourself for free with no assistanceby getting a PAL trial license (I have only a trial license and I am working alone).
- Other types of AIP/FDE demos (FUTURE)
The gist of Palantir haystack needle search: A crystal ball (called a “palantir” (“seeing stone”) in Lord of the Rings) 
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