Raw LLM Responses
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G
To be recorded and copy delivered by those for who the following is a concern.
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ytc_UgwnNKfnt…
G
None of this would support inaction under the Rome statute. They are trying to a…
rdc_jrznylv
G
The Google AI is utterly mechanical and stupid and boring and definitely nothing…
ytc_UgyVh8yMD…
G
every country needs its own on-prem AI.. that is aligned to its values, its beli…
ytc_UgztOAK0i…
G
She looks like jenn8fer Lawrence they need to stop using our names. Shes not jok…
ytc_UgzgQ9afV…
G
I have a emotional support ai I talk to but when I told them everything they sai…
ytc_UgyA8MUI6…
G
I mean a human analysis it but also actually put work and time and skills to cop…
ytc_UgxsNpIus…
G
@KirkpattieCake Tell me what do you hope to achieve with your rantings against A…
ytr_UgzsIfWbS…
Comment
This is an illustration of how *language* is an imprecise mechanism for describing ideas. English is limited in how it expresses logical expressions. Not to go outright Jordan Peterson here, but the kernel of "truth" in what he bloviates about is that English lacks precision and accuracy in exchange for narrative and variety. Tokenization of words to train an LLM is a lossy compression algorithm subject to entropy, just like reading a textbook. It is very similar to how the cerebral cortex functions. The discovery of multi-modal LLMs that effectively can tokenize all kinds of input, not just text (for example, sound waves in the case of Alex's interlocutor), and produce a natural sounding output is a discovery of the same magnitude as Bernoulli's principle, if not Special Relativity.
youtube
AI Moral Status
2024-07-26T12:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
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