Alexandre Poitevin

They mention running open source HLE benchmarks to keep routing honest but theres no detail anywhere on methodology or cadence or how those results actually influence routing decisions per workload

You mention HIPAA compliance and encryption at rest, but I didn’t see anything about a BAA, SOC2, or real clinical validation yet since it’s still “launching soon.” What has the crisis detection system actually been tested against so far?

Matching against 1.3B+ profiles, is that actual vector similarity on enriched embeddings in Pinecone or more rule-based filtering with AI reranking on top? Big difference for niche ICPs.

Voice cloning that preserves the original speaker's identity in real time across 150+ languages is no joke technically. The dialect-level support (LatAm vs Castilian Spanish, Canadian vs Parisian French) is a nice touch too. Are you doing the speech-to-speech translation end to end on MARS8 or is there still a separate STT step in the pipeline?

The Engage Discover feature is interesting, finding trending posts to reply to before they go viral is a smart way to get organic reach. Curious how fast the trend detection updates.

Interesting choice going with Groq for prompt optimization. Do you have a fallback if Groq goes down or are you fully dependent on it? Also curious how the speech-to-text plugs into the Cursor workflow in practice.

The React code linking that maps exact source lines to rendered components is a solid approach to give the agent real context. Curious what you're cooking with GLM 4.7 on Cerebras for the Inspector Agent.

Curious about the "private memory" claim for Clawdbot. Is it a local vector store, SQLite, something custom? Repository pattern?

The maker mentioned moving from regenerating charts per turn to "live charts where data can be refreshed." thats a fundamentally different architecture problem, stateless generation vs stateful component lifecycle. How is C1 handling component identity and diffing between turns today?