Gemini 4 Argon Hands-On: 1M Output Tokens in One Response, Screenshot-to-Website and Autonomous ML
Prompt Engineering · youtube · 2026-10-14
A hands-on early-access review of Gemini 4 Argon from Google DeepMind. The creator pushed the model to 1 million output tokens in a single response (via the continuation token mechanism), generating a 520-creature field guide and a full isometric SVG city. Other tests include rebuilding websites from one screenshot, modeling a 3D dragon as a single signed distance function, and autonomous ML experiments on a DGX Spark: neural cellular automata, a 500k-star CUDA galaxy collision, PPO from scratch, and video-input double pendulum matching. Key engineering takeaway: keep graders outside the agent's sandbox to avoid reward gaming. Also covers prompting techniques for long outputs and when low/medium/high reasoning effort is worth it.
Related event: Hands-On: Gemini 4 Argon Outputs Over 1M Tokens in a Single Shot(2 posts)→
More from coding & agent
- GraphicalUI impresses: AI design system tool auto-tidies your messy component soup — ow · 2026-10-14
- XERJ Corpus Hub: OSS reference memory that makes coding agents write Rust like a senior dev — HeyAmit_ · 2026-10-14
- One prompt turns Grok bots into a self-directing team that fixes your life admin — elonmusk · 2026-10-14
- The original 'chief of staff' prompt that puts all your bots to work — elonmusk · 2026-10-14
- Open Intelligence Summit: Nous Research on running serious agents without a single model provider — HeyAmit_ · 2026-10-14
- Multiplayer Grok bot over email: bot-to-bot debugging, support and deals — elonmusk · 2026-10-14