![[Week 1] "Visualizing the deep learning revolution" by Richard Ngo](https://storage.buzzsprout.com/b7xzejx9cm8dkgtgmzsz6gx8fu4f?.jpg)
[Week 1] "Visualizing the deep learning revolution" by Richard Ngo
TYPE III AUDIO (All episodes) · TYPE III AUDIO
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Show Notes
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client: agi_sf
project_id: core_readings
feed_id: agi_sf__alignment
narrator: pw
qa: mds
qa_time: 0h30m
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The field of AI has undergone a revolution over the last decade, driven by the success of deep learning techniques. This post aims to convey three ideas using a series of illustrative examples:
- There have been huge jumps in the capabilities of AIs over the last decade, to the point where it’s becoming hard to specify tasks that AIs can’t do.
- This progress has been primarily driven by scaling up a handful of relatively simple algorithms (rather than by developing a more principled or scientific understanding of deep learning).
- Very few people predicted that progress would be anywhere near this fast; but many of those who did also predict that we might face existential risk from AGI in the coming decades.
I’ll focus on four domains: vision, games, language-based tasks, and science. The first two have more limited real-world applications, but provide particularly graphic and intuitive examples of the pace of progress.
Original article:
https://medium.com/@richardcngo/visualizing-the-deep-learning-revolution-722098eb9c5
Author:
Richard Ngo
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This article is featured on the AGI Safety Fundamentals: Alignment course curriculum.
Narrated by TYPE III AUDIO on behalf of BlueDot Impact.