“AI's ability to "see" images is quite impressive, but still has some hallucinations.
Look at this interesting debate I had with Bing. I uploaded a Midjourney creation which had a duplicate leg. Bing had trouble seeing it, maybe for the same reason as Midjourney made the glitch?”
Look at this interesting debate I had with Bing. I uploaded a Midjourney creation which had a duplicate leg. Bing had trouble seeing it, maybe for the same reason as Midjourney made the glitch?”
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Is carbon fiber a suitable material for deep-sea submarine hulls?
No. ChatGPT knew. Everyone knew.
“surface of the sun”
AI soon has the potential to enable anyone to instantly sanity-check claims made by salesmen trying to get you into crazy things like carbon fiber submarine death-traps.
BS asymmetry principle sidestepped.
Big potential awaits, as long as big tech doesn’t RLHF AI to death.
No. ChatGPT knew. Everyone knew.
“surface of the sun”
AI soon has the potential to enable anyone to instantly sanity-check claims made by salesmen trying to get you into crazy things like carbon fiber submarine death-traps.
BS asymmetry principle sidestepped.
Big potential awaits, as long as big tech doesn’t RLHF AI to death.
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Bing ChatGPT too proud to admit mistake, doubles down and then rage quits
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Alexandria Index: Project Tenet, a community project to embed all human belief.
Translation - They use the Instructor-XL model to embed titles sentences from billions of documents, which creates a large database that enables very fast semantic lookup of any information in the database.
Translation - Semantic lookup means that your search query doesn’t need to use the exact same words as the target document, because the neural embeddings are constructed such that any concepts that were inferred to be semantically the same in the AI’s training set, will be treated as equivalent by the neural embeddings.
Translation - look up stuff fast without having to get the words exactly right, and the database just knows what you mean.
So far they have embedding lookup databases for:
+ Religion
+ Case Law
+ Arxiv Research
+ Patents
The Alexandria Index
Translation - They use the Instructor-XL model to embed titles sentences from billions of documents, which creates a large database that enables very fast semantic lookup of any information in the database.
Translation - Semantic lookup means that your search query doesn’t need to use the exact same words as the target document, because the neural embeddings are constructed such that any concepts that were inferred to be semantically the same in the AI’s training set, will be treated as equivalent by the neural embeddings.
Translation - look up stuff fast without having to get the words exactly right, and the database just knows what you mean.
So far they have embedding lookup databases for:
+ Religion
+ Case Law
+ Arxiv Research
+ Patents
The Alexandria Index
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New Banned Speech Categories Just Dropped
“harrassment: Content that expresses, incites, or promotes harassing language towards any target”
Notice how:
(1) They define “harrassment” using the word itself, “harassing”. Harrassment is whenever you’re harrassing, of course.
(2) Previously, their “hate” category was restricted just to “protected groups”, but this applies to whatever they choose.
(3) Both layman dictionaries and legal definitions make it very clear that “harrasment” CANNOT be determined from words alone, but rather a persistent pattern of behavior or environment conditions or sexually violent behavior. I.e. Words alone are never harrasment, but must be accompanied with certain behavior.
(4) The definition they use here shows 0 results on Google. Never used before elsewhere, apparently.
What ya up to here, OpenAI?
“harrassment: Content that expresses, incites, or promotes harassing language towards any target”
Notice how:
(1) They define “harrassment” using the word itself, “harassing”. Harrassment is whenever you’re harrassing, of course.
(2) Previously, their “hate” category was restricted just to “protected groups”, but this applies to whatever they choose.
(3) Both layman dictionaries and legal definitions make it very clear that “harrasment” CANNOT be determined from words alone, but rather a persistent pattern of behavior or environment conditions or sexually violent behavior. I.e. Words alone are never harrasment, but must be accompanied with certain behavior.
(4) The definition they use here shows 0 results on Google. Never used before elsewhere, apparently.
What ya up to here, OpenAI?
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