this post was submitted on 23 Nov 2023
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Machine Learning

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According to one of the sources, long-time executive Mira Murati told employees on Wednesday that a letter about the AI breakthrough called Q* (pronounced Q-Star), precipitated the board's actions.

The maker of ChatGPT had made progress on Q*, which some internally believe could be a breakthrough in the startup's search for superintelligence, also known as artificial general intelligence (AGI), one of the people told Reuters. OpenAI defines AGI as AI systems that are smarter than humans.

https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22/

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[–] mrscepticism@alien.top 1 points 10 months ago (1 children)

I know very little about ML (essentially nothing, I have a background in economics and, a bit, of statistics), but isn't AGI still miles away from these models?

Like, my understanding of LLMs is that they essentially "predict" the right word to respond to a prompt and then write a new word based on the previous one and so on. Actual human level intelligence seems to me to be a degree of complexity higher.

[–] blabboy@alien.top 1 points 10 months ago (1 children)

Does it? In what quantitative way?

[–] mrscepticism@alien.top 1 points 10 months ago (1 children)
[–] olliereid@alien.top 1 points 9 months ago

Im not that clued up either. But given how the 'predict the next word' method trivially enables the wonders of AI photo, video, audio, code, etc. generation it's not inconceivable that it can also be extended to areas like logic, cognition.

The rhetorical question of other guy is actually quite a good one. Since predicting the next best word alone already seems to do such a great job of convincing us of intelligence, perhaps the onus is on us to describe how our intelligence is anything more than essentially a predictor of next words.