Behind the Scenes with an early OpenClaw contributor! | E2252

AI companies are growing faster than we've ever seen before

A discussion about Anthropic's valuation reveals that while the numbers seem crazy compared to five years ago, they're actually reasonable when you plot revenue against growth rate. The key insight is that we've simply never witnessed companies growing at this unprecedented pace before.

Defense Production Act of 1950, sorry, that's what it is, they're saying, hey, We might just take over, this technology, and we'll tell you what you're gonna do with it. Didi, what are your thoughts...

But if you're using an open source model, it's running locally on your computer. There's no that, like, in between person from sending off that request and getting it back to you. It also just to...

AI models just doubled in speed - but there's still one major bottleneck

An early OpenClaw contributor discusses the dramatic speed improvements in AI models over recent weeks, from 30 to 50-60 tokens per second. The conversation focuses on current technical limitations around speed and threading, specifically the challenge of running multiple parallel tasks with a single AI agent rather than needing multiple instances.

AI sub-agents work in background while you chat, then report results

An OpenClaw contributor explains how AI sub-agents can handle complex, time-consuming tasks in the background while users continue chatting normally. The system spawns sub-agents for tasks requiring multiple tool calls, which work independently for 15-20 minutes before reporting results back to the main agent. However, this approach uses more tokens since each sub-agent needs to recreate memory and prompts.

Early OpenClaw contributor reveals the token cost tradeoff of AI sub-agents

An early OpenClaw contributor discusses the architectural decisions around AI sub-agents, explaining why some users resist automation due to increased token costs (20k tokens per sub-agent). The conversation touches on the inevitable shift toward sub-agent architecture for better main thread responsiveness.

AI will eliminate the lowest-end knowledge work jobs first

The speaker argues that AI's intelligence will displace workers in less intellectual software and tech roles, causing related stocks to drop 25% recently. This raises fundamental questions about what knowledge work means in an AI-dominated future.

open claw on Reddit? Call the API someone else's agent has already indexed because it will basically cache the learned APIs into this massive database of the entire Internet. And then use that...