3 ms·
- A queryable semantic network of all human thought, navigable in pure language, capable of inhabiting any persona constructible from in-distribution concepts,
by colinplamondon 10mo ago
- A queryable semantic network of all human thought, navigable in pure language, capable of inhabiting any persona constructible from in-distribution concepts, generating high quality output across a breadth of domains.
- An ability to curve back into the past and analyze historical events from any perspective, and summon the sources that would be used to back that point of view up.
- A simulator for others, providing a rubber duck inhabit another person's point of view, allowing one to patiently poke at where you might be in the wrong.
- Deep research to aggregate thousands of websites into a highly structured output, with runtime filtering, providing a personalized search engine for any topic, at any time, with 30 seconds of speech.
- Amplification of intent, making it possible to send your thoughts and goals "forward" along many different vectors, seeing which bear fruit.
- Exploration of 4-5 variant designs for any concept, allowing rapid exploration of any design space, with style transfer for high-trust examples.
- Enablement of product craft in design, animation, and micro-interactions that were eliminated as tech boomed in the 2010's as "unprofitable".
It's a possibility space of pure potential, the scale of which is limited only by one's own wonder, industriousness, and curiosity.
People can use it badly - and engagement-aligned models like 4o are cognitive heroin - but the invention of LLMs is an absolute wonder.
- staticman2 10mo ago>A queryable semantic network of all human thought This hyperbole would describe any LLM of any size and quality, including a 0.5b model.
- colinplamondon 10mo agoSure - and the people responsible for a new freaking era of computing are the ones who asked "given how incredible it is that this works at all at 0.5b params, let's scale it up*. It's not hyperbole - that it's an accurate description at a small scale was the core insight that enabled the large scale.
- staticman2 10mo agoWell it's obviously hyperbole because "all human thought" is not in a model's training data nor available in a model's output. If your gushing fits a 0.5b it probably doesn't tell us much about A.I. capabilities.
- fao_ 10mo ago> It's a possibility space of pure potential, the scale of which is limited only by one's own wonder, industriousness, and curiosity. Did you use an LLM to write this comment?
- buellerbueller 10mo agoYes, it has so much potential, that it forgets the actual, the reasonable and the probable.