This is definitely one of the hottest topic these days lol. And I personally think that except the agent itself, its autonomous behavior is also really intriguing, since they're both related to how capable the base model is and also how dangerous the model can be.
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To scale, or not to scale? It's a really interesting topic. Scaling Laws is a famous law in AI and ML, and the people's opinion's on it is also diverse. So I wanna share some thoughts on compute scaling, which is a part of the Scaling Laws.
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Tl;dr
- AI development is rapidly outpacing societal adaptation
- We should focus on adapting AI development to benefit human society
- Concerns about job displacement can be mitigated by creating new AI-related roles
- Combining AI with various scientific domains could accelerate breakthroughs
- AI raises existential and philosophical questions about human uniqueness and purpose
Just now, Anthropic released their Claude-3.5 Sonnet (see the announcement here), and promised to release rest of the models in the model family later this year (i hate this 🫠).
Tl;dr
- 3.5 Sonnet is more capable than 3 Opus yet cheaper;
- 3.5 Sonnet is really good at reasoning tasks (it will ask you for "elaboration" frequently);
- 3.5 Sonnet is good at vision;
- 3.5 Sonnet has an updated knowledge cutoff date;
- and more...
Current AI Development Path
Accelerate faster please.🥺