
Flexible schema packs for specific use cases coming to GBrain soon
Mark Pors 🦖
5.8K posts

@pors
Building https://t.co/pRJXNjbTGC. High-signal academic paper feeds for agent-assisted research and humans 🦖.

Flexible schema packs for specific use cases coming to GBrain soon


GBrain v0.23.0 is actually... a quite big deal. Your brain actaully gets enriched from your conversations with OpenClaw now. OpenClaw still has its own separate memory, but the brain's people, companies, and concepts now all benefit from what it learns from you.














some more Gemini 3.5 Flash benchmarks by Artificial Analysis AI: - the APEX-Agents-AA score is excellent - expected higher on CritPt - reasoning efficiency could also be better, but it kind of depends on what setting they used. if it's the max then it's very good - Price/Perf looks pretty bad vs GPT-5.5. You can get GPT-5.5-medium with better performance for less and with faster responses


The skillpack architecture is the right call. We run something similar where each skill bundle carries its own tests and the agent can modify them in-flight. The part people miss: letting the agent update its own tooling is what creates the compounding effect. Static skill libraries plateau fast.









Found myself posting papers to GitHub instead of arXiv lately. No gatekeeping, is in the same repo as the code, one link for everything, and gets uploaded immediately. Makes you wonder what arXiv's actual value is.