The "Egg Theory" of AI Agents
added by Agalia Tan · updated 1mo ago
The "Egg Theory" of AI Agents
kaiton and added
- Over time, this progression leads to the potential for AI-driven co-pilots for life sciences and healthcare that greatly scale skilled labor or that uplevel less-skilled labor. For example, AI could suggest answers or ideas, allowing trained humans to choose the best ones, curating results and skipping over any wrong answers. This approach integrat... See more
from AI at the Intersection: The A16z Investment Thesis on AI in Bio + Health by Vijay Pande
Darren LI added
- Our future will be characterized by a tension between copilot (AI as collaborator) and autopilot (humans as sidekick to AI). The latter is more efficient and cheaper in a narrow labor economics sense but troublesome in all sorts of ways.
from Google’s NotebookLM Aims to Be the Ultimate Writing Assistant
Justin Reidy added
In my experience, people are seeking either an autopilot or no pilot at all. As a copilot proponent, this development worries me
sari and added
- Every time you ask the AI to make a picture, it doesn’t really remember or know anything else it’s ever made. It has no will, it has no goals, it has no intention, no storytelling ability. All the ego and will and stories — that’s us. It’s just like an engine. An engine has nowhere to go, but people have places to go. It’s kind of like a hive mind ... See more
from “An engine for the imagination”: an interview with David Holz, CEO of AI image generator Midjourney by The Verge
sari added
A lot has been written about the extent to which robots now sound like people, and what that might mean, but less about the extent to which people now sound like robots. There is nothing particularly soulful or human about knowing how to say “stay in your lane” without risking your work reputation (for the curious: “Thanks for your input. I’ll kee
... See morefrom #138: Do you pass the Turing test? by Haley Nahman
sari added
- An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:
- Tool usage, such as calling APIs for info, executing code,
- Internal thoughts over multiple generation steps
- Ability to use various tools and reasoning steps to answer more complex queries.
- Parallel agents can go and complete
from LLMs Are Not All You Need | Pinecone by James Briggs
Nicolay Gerold and added
Generative AI is quite good at certain parts of the value chain of knowledge work, but thinks quite differently from humans. Anthropic, a company that focuses on understanding how AI works, has found that humans working side-by-side with expert AI assistants to perform various tasks produce superior performance compared to either the AI or a human
... See morefrom Generative AI: autocomplete for everything by Noah Smith
sari added