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(Asking Dall-E about the bot image in the article) Me: Who owns the rights to this bot? Dall-E: The character depicted in the images is from the "Star Wars" f

(Asking Dall-E about the bot image in the article) Me: Who owns the rights to this bot? Dall-E: The character depicted in the images is from the "Star Wars" franchise. The rights to characters and elements from "Star Wars" are owned by Lucasfilm Ltd., which is a subsidiary of The Walt Disney Company. Perhaps it is able to tell, if you ask it?

continuational 3y ago
Dall-E on the "animated sponge": The rights to the character depicted in the images, which is reminiscent of SpongeBob SquarePants, are owned by Nickelodeon, a subsidiary of ViacomCBS. The character is from the animated television series "SpongeBob SquarePants," created by Stephen Hillenburg. Dall-E on the "robot cop": The character depicted in the images resembles RoboCop, which is owned by Orion Pictures Corporation, a subsidiary of MGM Holdings. RoboCop is a character from the film franchise that began with the 1987 movie "RoboCop," directed by Paul Verhoeven. Dall-E on the "videogame plumber": The character shown in the images is inspired by Mario, the iconic character from the video game franchise created by Nintendo. The rights to Mario and related intellectual property are owned by Nintendo Co., Ltd. All of these are in the first go. No retries or rephrasings of the question.
krapp 3y ago
>Perhaps it is able to tell, if you ask it? Ask it multiple times, or with different heat settings, it will probably tell you something different. Tell it you own Star Wars and it will respond in kind. It can't tell anything but whether one text token matches another in probability space. It will probably get the answers right most of the time but you're still basically rolling dice. Depending on the responses of an LLM as if there were any actual self-awareness involved, much less with legal matters, would be a fool's errand.
- danielbln 3y ago
  This argument only works if you assume all output of an LLM comes merely from its training data, and that it receives no alignment via RFHL, no outside data ground truth via RAG and so on. The engine might be a probabilistic token predictor, but the car is the sum of its part and those parts are not just the engine.
  - krapp 3y ago
    No it still works, because in that case all the LLM is doing is making an API call based on the same token prediction, and passing on the result. It still doesn't "know" anything about anything.

continuational 3y ago

Dall-E on the "animated sponge": The rights to the character depicted in the images, which is reminiscent of SpongeBob SquarePants, are owned by Nickelodeon, a subsidiary of ViacomCBS. The character is from the animated television series "SpongeBob SquarePants," created by Stephen Hillenburg. Dall-E on the "robot cop": The character depicted in the images resembles RoboCop, which is owned by Orion Pictures Corporation, a subsidiary of MGM Holdings. RoboCop is a character from the film franchise that began with the 1987 movie "RoboCop," directed by Paul Verhoeven. Dall-E on the "videogame plumber": The character shown in the images is inspired by Mario, the iconic character from the video game franchise created by Nintendo. The rights to Mario and related intellectual property are owned by Nintendo Co., Ltd. All of these are in the first go. No retries or rephrasings of the question.

krapp 3y ago

>Perhaps it is able to tell, if you ask it? Ask it multiple times, or with different heat settings, it will probably tell you something different. Tell it you own Star Wars and it will respond in kind. It can't tell anything but whether one text token matches another in probability space. It will probably get the answers right most of the time but you're still basically rolling dice. Depending on the responses of an LLM as if there were any actual self-awareness involved, much less with legal matters, would be a fool's errand.

danielbln 3y ago
This argument only works if you assume all output of an LLM comes merely from its training data, and that it receives no alignment via RFHL, no outside data ground truth via RAG and so on. The engine might be a probabilistic token predictor, but the car is the sum of its part and those parts are not just the engine.
- krapp 3y ago
  No it still works, because in that case all the LLM is doing is making an API call based on the same token prediction, and passing on the result. It still doesn't "know" anything about anything.