Post-Space notes:
- Agents are generating the perfect training data and so closing the loop between that is going to be the biggest unlock this year.
- Users still treat AI agents as a chatbot. They still don't understand the power and leverage of AI agents.
- Many jobs should be shifted from execution to monitoring.
- What's an agent without data? It's basically useless.
More insights are coming!
Going live in 2 hours.
$470M in AI Agents on Base: real economy or just hype?
We’re breaking down what’s actually working (and what’s not).
Set a reminder → x.com/i/spaces/1nJOLEnRdXnxR…
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“It's the speed in which it gained interest from a mainstream perspective.”
On our last Space, @Argentum_aguila from @OptimaiNetwork shared what surprised him most about OpenClaw and how quickly it moved into the mainstream.
Intelligence needs direction.
Understanding why gives agents that direction.
Context shapes decisions > decisions shape systems
We give agents the why.
OpenClaw sits at the intersection of:
- data quality
- local execution
- real economic outcomes
That's cool. But will it leak your data, and can you rely on the output?
We’re live in 2 hours.
Talking about:
– Did the hype outrun reality?
– What proof would actually make you try it?
– What does “success” even mean here?
Set a reminder x.com/i/spaces/1AKEmOmgDWRKL…