Audience
AI founders, infra leads, enterprise buyers
Chris Royse field notes
Local GPUs Are A Business Model Shift
Consumer and workstation GPUs make a new class of local-first AI products realistic when the software is packaged correctly.
Teams / Channel video + alldata.md / 7:50
Core idea
When inference moves to the edge, the vendor's job becomes orchestration, licensing, updates, and trust instead of hosting every workload.
Inference Economics
Watch on YouTube· 7:50
Local GPUs Are A Business Model Shift
This matters for Teleox because private-corpus proof work gets easier when the compute can stay close to the data.
Watch videoOpen the full video on YouTubeWhat to take from it
The videos are raw build context. These notes translate them into the shortest useful frame for creators, companies, and AI lab readers.
Local compute reduces data movement.
Packaging and GPU management become core product work.
Cloud fallback should be optional, not mandatory.
Continue this thread.
Related notes stay inside the same problem area first, then move to the next useful context.
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MCP Is Distribution For AI-Native Software
An MCP server gives AI clients machine-readable tools, schemas, and validation rules without relying on model training data.
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AI-Proof Education Should Change The Assignment
The 100-holes method reframes AI-era teaching around defense, iteration, oral reasoning, and proof of understanding.
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AI Can Quietly Break Team Communication
AI can speed up individual output while weakening shared context, review habits, and team-level sensemaking.
Make it concrete.
Send the audience, data type, target task, proof bar, and sharing limits.