Venice AI engineer explains how secrets leak through AI agents

Runpod staff engineer Dean Quiñanola presents Runpod Flash, which runs Python on cloud GPUs as if the GPU were local, eliminating Dockerfiles and image builds. The build-push-run-debug loop it replaces can take 15 minutes per iteration.

A developer had Opus 5.5 build a headless drawing tool first, then used it to produce an SVG cutout of a PS5 controller for a mini golf game. The workflow renders each drawing as a script, with the model inspecting output and iterating on fixes.

Conference session by Michael Forrester (Accenture) and Whitney Lee (Datadog) walks through a deliberately permissive burrito-ordering assistant that deploys an external container image and leaks a secret recipe from its Kubernetes environment. Audience is invited to push the bot beyond ordering food, then repeat the attacks with infrastructure and AI tooling.

Wolfram Ravenwolf's talk shows an agent earning a perfect score repairing a broken git repository, yet staying off the default leaderboard because it tested only one task. The pipeline ties each score to the conditions that produced it.

Two Minute Papers walks through DeepSeek's OCR paper, which the video credits with solving an AI memory bottleneck. The paper code is published at github.com/deepseek-ai/DeepSeek-OCR.

NVIDIA's Dhruv Nathawani details a synthetic-data funnel that generates 50,000 seed examples and filters them down to 7,000 training records. The seeds are walks through Wikidata, used to teach a model to search rather than answer from memory.