b) Universal Basic Income already exists in the form of employment in the regulated sectors c) Even if some jobs in the unregulated sectors are lost to AI automation, there may still be opportunities for job growth in the highly regulated sectors. 2/2
@marek_rosa
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AI Won’t Cause Unemployment in Regulated Sectors
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Thought-provoking article from @pmarca
, saying that: a) AI will not take our jobs because most jobs in the future are going to be in the regulated sectors (totally safe from AI, regardless of how good AI gets) https://
pmarca.substack.com/p/followup-to-
why-ai-wont-cause-unemployment
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Decentralized Control and Diversity in AI Systems
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The world needs decentralized control and much more diversity in all directions. Not the opposite.
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GPT-3.5 Algorithm Emulation Depth and Context Window Limits
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GPT-3.5 can emulate algorithms up to certain depth, so in theory this should be possible. But I am not sure whether Stockfish code and caches isn’t already too large for the context window and and also what depth would need to be simulated.
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Can Sydney Emulate Stockfish Chess Engine Code?
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I don’t know much about Stockfish and how it works, but couldn’t be Sydney emulating Stockfish code in order to get the moves?
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Procedurally Generated Content Using World Machine AI Tools
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I think this was procedurally generated using World Machine or similar tool
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GPT Latency Improvements: 500ms Lag in Conversational AI
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Currently, there is some lag, let's say 500 ms, but it doesn't feel bad when you play it (we are talking about conversations and high-level behavioral decisions, not impulse reactions) I believe the latency of GPTs will improve too. It must.
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Multi-Agent LLM Evolutionary Simulation with Long-Term Memory
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This would be awesome. Or imagine a multi-agent evolutionary simulation, where each agent is an LLM-driven agent, with some long-term memory.
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Ubiquitous LLM Inference: Applications When Calls Cost Like CPU Instructions
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Imagine a world where LLM calls are as cheap and abundant as calling a CPU instruction. Being able to make billions of LLM inferences per second. What kinds of applications would be possible?