Meet Daniel George and his journey to founding TwinMind after leaving Google-X & JP Morgan, he did PhD in 1 year.
Danielโs Linkedin: https://www.linkedin.com/in/dan7geo/
Checkout TwinMind: https://twinmind.com
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0:00 Intro โ PhD in one year; first AI in gravitational astrophysics
1:03 House tour โ team intros; Menlo Park location
3:15 Early recognition โ black holes with AI; first investments
6:31 Physical AI to LLMs โ challenges and shift
9:05 Bay Area advantage โ landlord founder story
11:16 Meet Nina โ AI career; travel and return
15:02 PhD advice โ depth vs breadth; choosing advisor
25:18 PhD funding โ fellowships hack; $140K/year
27:17 Offers โ Google X, NVIDIA, Wolfram; leader meetings
32:14 Physical AI wins โ robotic pants; Wolverine/IO earbuds
35:04 Lessons โ building teams, finance, networks
36:09 FIRE โ 4% rule; living off investments
39:02 Minimalist travel โ one backpack; points hacking
42:19 TwinMind vision โ Jarvis-like; privacy; on-device/cloud
46:04 Trust & accuracy โ correction pipeline; citations; approvals
48:20 Audio limits โ iOS constraints; Android; phone-call capture
49:24 Memory layer โ second brain; files; hierarchical memories
55:03 Model strategy โ fine-tuned multimodal LLMs; diarization
59:20 Cost engineering โ from $500 to $1 via on-device
1:01:26 AI engineer roadmap โ build with APIs; product pipelines
1:03:57 Stack choices โ start serverless; later GCP; own pipelines
1:06:20 Future โ agents beyond notes; cross-app memory; multi-device
1:10:24 Lowest points โ sacrifice and stress behind success
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