See how AI really works — and find out how much you know
Interactive simulations of the full AI stack — GPUs, LLMs, serving, and agents. Run them in your browser, then test yourself against the role you want. No GPU required. Free.
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How ready are you for the role you want?⏳ qualification test — coming soon
Pick a target role. The AI Knowledge Map shows the concepts that role needs across the whole stack — your strong areas in green, your gaps in red, each linked to the exact module that closes it.
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The Full AI Stack
5 tracks that take you from GPU hardware to running an agent fleet in production. Start anywhere — each track stands on its own.
AI Explained● Updated daily
Today's AI news, explained visually — with a live simulation in every post.
OSWorld2.0 benchmark: best computer-use agent finishes just 20.6% of tasks — Long-horizon computer-use failure modes — What does it mean?
OSWorld2.0 runs computer-use agents through 108 long real-world tasks. The best finishes just 20.6%, undone by four failure modes.
MultiHashFormer drops the vocab-sized embedding table — Hash-signature token representation — What does it mean?
Agents-A1 matches trillion-param agents at 35B — Scaling the horizon, not the parameters — What does it mean?
Agents struggle to know when to stop — Agentic abstention — What does it mean?
Ornith-1.0 ships open MIT-licensed coding models — Self-scaffolding RL — What does it mean?
Cluster-Route-Escalate cascade serves LLMs at 97-99% accuracy for less cost — Cost-aware LLM cascade — What does it mean?
Start with what you know.
Frequently asked
Is Learn AI Visually free?
Yes. Every track and module is free, no account required to browse.
Do I need a GPU to use it?
No. Everything runs in the browser as an interactive simulation — no local GPU, no install.
Who is this for?
Engineers, students, and researchers who want to understand how LLMs and GPUs actually work by seeing them execute rather than reading prose.
What tracks are available today?
5 tracks are live — GPU & CUDA (9 modules), LLM Internals (9 modules), LLM Serving (7 modules), AI Agents (9 modules), Agent Engineering (9 modules).