Black Devil
2.8K posts
@Tech_DevilAI
Exploring AI, machine learning & the future of intelligence. Tweets = insights + ideas.
“Grok Analysis” is one of the most useful features on 𝕏. Tap the Grok icon on the top right of any post, and you’ll get an instant Grok analysis.
We taught AI agents to dream. Not a metaphor. Not marketing. Every night at 4am, your @openclaw agent enters a "dream cycle" — just like your brain does during REM sleep: It replays the day. Extracts what matters. Scores importance. Links related memories. Lets unimportant ones fade. Wakes up smarter. We modeled it on actual neuroscience: 🧠 Five memory layers (like human episodic → semantic → procedural) 📉 Forgetting curves (low-importance memories naturally decay) 🔗 Knowledge graphs (memories form connections, not just lists) ⏳ Stale detection ("you haven't touched this project in 22 days") 📊 Morning report with before/after metrics Why this matters: Claude and ChatGPT have "memory" — but it's a notepad. Flat. Passive. No scoring, no decay, no structure. Auto-Dream gives agents a memory architecture. The kind that makes your agent better at month 6 than month 1. Open source. MIT license. Built at @MyClaw_Official for the @openclaw ecosystem. @steipete — your agents can dream now 🌀 github.com/LeoYeAI/opencl…
In this 2015 interview, the host — a Tsinghua University professor — expressed genuine curiosity about how Elon Musk was able to found SpaceX without prior experience and knowledge in aerospace, especially given that rocket science is one of the most demanding hard sciences — and that Musk was serving as both CEO and CTO. Musk explained that deep expertise can be built outside formal academic programs — by reading extensively, conducting experiments, and speaking directly with experts in the field.
