"If you want to build a ship, don’t drum up the men to gather wood, divide the work, and give orders. Instead, teach them to yearn for the vast and endless sea"antunesindustries.comJoined May 2012
Since the GLoRA-Hive vs. Control graph raised a lot of “how” questions, here’s a closer look.
This video comes from my simulated factory with simulated camera views of two machines.
The agents don’t communicate, but GLoRA-Hive drives emergent coordination.
Each step (sim…
Saw an interesting behavior in Gemini. I asked for deck feedback and it built an outline first, then dropped in content section by section (all text). Feels like live drafting. Anyone noticed similar?
When I say “autonomous factories", I mean the design of parts too.
In this clip I train a RL workflow to evolve a BLDC stator shape. Reward uses a lightweight magnetostatics proxy for torque and ripple. Early prototype, but it start to look like something useful.
One thing I’ve found useful: make coding agents (Codex, Gemini-CLI) document their progress. A README md plus a few extra .md files makes it easier for the agent to navigate the repo. It seems to reduce context usage when switching between agents.
my current loop:
- write with gpt-5/gemini
- polish and generate .md of feature request
- run codex/gemini cli implement .md
- ask the LLM if what shipped matches the intent
There’s a part in the book where he mentions that Shenzhen used to be known for its oysters, but industrialization wiped them out.
Can’t help but think that in the US we would have picked protecting the oysters over the industrialization.
There’s a part in the book where he mentions that Shenzhen used to be known for its oysters, but industrialization wiped them out.
Can’t help but think that in the US we would have picked protecting the oysters over the industrialization.
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