2,579 karma · joined April 9, 2010
dragonzawn -> gmail.com
I think the future will probably be a hybrid of:
1. local AI for simple, private, everyday tasks
2. online AI for very hard or long tasks
We’re building the operating system for medical AI agents—enabling at-home diagnostics with computer vision and voice AI to deliver continuous, equitable care in a broken system. Targeting asynchronous care, we serve hospitals, rural and specialty clinics with >85% diagnostic accuracy and >70% patient engagement.
Mission: fix healthcare access and equity.
Tech: PyTorch, 3D reconstruction, SAM, React, Swift/SwiftUI (iOS), Kotlin (Android), React/Next.js (web), GCP, FHIR, Temporal, MemGPT. HIPAA-compliant (SOC 2 in process)
Roles
- AI Platform Engineer: Scale vision-language models, voice AI (emotion/intent), 3D/hyperspectral pipelines, multi-agent systems, FHIR integrations.
- ML Engineer: Fine-tune VLMs (e.g., Moondream) on Med-VQA/RAD for medical VQA, detection, captioning. Optimize for on-device.
- Front-End Engineer: React UIs for patients/providers with voice and diagnostic visualization.
- Mobile Engineer: Develop native iOS (Swift/SwiftUI) apps for seamless voice (ElevenLabs), camera capture, intents and conversational workflows.
- Open Application for Unconventional Talent (tell us / show us? let's chat)
Lean team (5), high ownership, remote-first. Open to contracting roles.Apply → Email tmartin@copilothealth.com with “HN [Role]”, resume / github / research. We reply fast.
Hard to take this statement serious when all the headlines in this substack echo leftwing bias. At least be intellectually honest about your intent.
I find this beautiful
> My father taught me to vanish before I learned to appear. Science taught me to appear without vanishing — to stand by evidence, to let truth emerge even when it contradicted the spectacle.
Poetic
https://slate.com/technology/2019/02/openai-gpt2-text-genera...
Seems revenue from inference is growing at a significant clip.
> Thank you for the feedback. We are updating our AI FAQ to be more clear: We only collect data for training from customers who have given explicit contractual consent as part of their participation in AI Extension for CLM, AI Labs and select beta programs using AI. When we train models using customer data to improve the accuracy of our AI features, we only use data from customers who have given consent, and that is de-identified and anonymized before training occurs.