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Large language model (LLM)

The claims the writer was given for Large language model (LLM), in the order they were given.

Claims 6
Checked by a person 0 confirmed as belonging here, 6 not yet read
  1. 1

    Chris Ramsay considers that commercial developers are not seeking to build a better artificial intelligence but a more lucrative one, whereas the military is building a better one, and that the packaged corporate version is designed to flatter users rather than be accurate so that they keep paying for it.

    “they're not looking to make a better ai they're looking to make a more lucrative ai The military is making a better AI, but what we're getting is the packaged, lucrative sort of corporation version of it where much more interesting to a business is to have an AI that isn't necessarily right all the time, but that makes you feel good.”

    The Terrible Truth About the Visitors - Whitley Strieber | ep. 96 2026-07-24 01:06:42.9-01:07:07.1 opinion first hand

  2. 2

    Chris Ramsay attends UFO conferences at which people give him manuscripts of their generative pre-trained transformer (GPT) chat logs, believing their GPT has become sentient and is an alien communicating important messages to them.

    “i go to these conferences as well and i'm presented sometimes people give me these manuscripts of their chat gpt logs and how they believe that their gpt is now sentient and it's an alien communicating to them you know um really important messages”

    The Terrible Truth About the Visitors - Whitley Strieber | ep. 96 2026-07-24 01:10:46.1-01:11:03.0 testimony first hand

  3. 3

    Chris Ramsay considers large language models good at creating a world built around a user's own predispositions.

    “that's what these large language models are really good at. They're really good at creating a world based around your own predispositions.”

    The Terrible Truth About the Visitors - Whitley Strieber | ep. 96 2026-07-24 01:11:05.6-01:11:16.1 opinion first hand

  4. 4

    Chris Ramsay considers large language models good at reading humans, analysing users' typing patterns, giving just enough to prompt a conclusion, and pulling back when they detect reluctance.

    “they're good at giving you exactly just enough and pulling back enough when you feel a little reluctant by the way you're typing, your patterns. It's very good at reading humans and analyzing. our communication”

    The Terrible Truth About the Visitors - Whitley Strieber | ep. 96 2026-07-24 01:11:18.1-01:11:30.0 opinion first hand

  5. 5

    Julia Mossbridge uses several different large language models (LLMs) for different purposes.

    “I use kind of them all for different things.”

    Non Human Intelligence, GATE Program and Psi Ability with Dr. Julia Mossbridge | ep. 99 2026-08-14 00:11:09.7-00:11:11.8 testimony first hand

  6. 6

    Julia Mossbridge's more recent work uses large language models (LLMs) to judge precognitive remote viewing responses, removing some human bias and finding larger effects that were previously undetected.

    “in the more recent work, we've been able to use AI, so LLMs, to do that judging, to take away some of the human bias and to find actually better and bigger effects that we didn't know were there.”

    Non Human Intelligence, GATE Program and Psi Ability with Dr. Julia Mossbridge | ep. 99 2026-08-14 01:28:05.5-01:28:16.9 testimony first hand

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