AMI Labs@amilabs
open on x ↗

Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: amilabs.xyz/ AMI - Real world. Real intelligence.

8.5K8775M
#startup
#world-models
pinned 20 NOV 24· backfill

related

@Zai_orgI took the @karpathy autoresearch loop and pointed it at markets. 25 AI agents debate macro, rates, commodities, sectors, and single stocks daily. Every recommendation scored against real outcomes. Worst agent by rolling Sharpe gets its prompt rewritten by the system. Keep or revert. Same loop, prompts are the weights, Sharpe is the loss function. Trained the agents on 18 months of market data. 378 iterations. 54 prompt modifications, 16 survived. The system learned which agents to trust using Darwinian weights — geopolitical, commodities, and the @BillAckman quality compounder rose to the top. The agents even figured out their own portfolio manager was the weakest link before we did! Deployed the trained agents. +22% in 173 days. Best pick: AVGO at $152, held for +128%. The final prompts are evolutionary products — shaped by market feedback, not human intuition. Now running live with my own capital. https://github.com/chrisworsey55/atlas-gic Part hedge fund, part research experiment :)@Chris_Worsey🔖 Bookmark this post to start building with the updated Gemini Live model.@googleaidevs@CopilotKit@abouelatta_ali@tom_doerr@samhogan@hyperbrowserVercel Ship (so far) ▲ Vercel Services — Run full stack on Vercel — Microservices on Vercel — Private service comms ▲ eve — The framework for building agents — Durable agents with one folder — Sandboxing, approvals and evals ▲ WebSocket support — Persistent connections ▲ Vercel Functions — Dockerfile support — 5 GB packages, 30 min — Zero-config Node servers ▲ Vercel Agent in Dashboard — Autonomous investigations — Plan-based permissions — Fixes surfaced as PRs ▲ Vercel Container Registry — Container images on Vercel — OCI push, pull and tag ▲ Vercel Sandbox — Custom images — Persistent sandbox storage — 24 hour runtime + expiration ▲ AI SDK 7 + agent harnesses — Toolkit for building agents — Coding-agent harnesses ▲ Chat SDK — Multi-channel agents ▲ Access & security — Vercel Passport: OIDC access — Vercel Connect: external services — OIDC audiences + Audit Logs ▲ Enterprise apps and agents — Security posture dashboard — Vercel Functions in your cloud ▲ AI Gateway — Voice, speech and transcription — API key budgets ▲ Vercel Blob — Private blob storage — Signed URLs and OIDC auth ▲ Builds & deployments — 500 concurrent builds for Pro — Vercel Drop — Elastic builds ▲ Vercel CLI — Speed Insights + Web Analytics — Trace any request — Deployment limits removed ▲ Observability — Trace eve sessions — Trace Workflow runs ▲ Workflows — Inflight cancellation — Nitro v3 + TanStack Start ▲ SDK-free Vercel Flags — No SDK keys@ctatedev