Three-panel SVG (input context, LLM black box, predicted next token) with
7-iteration loop generating "The capital of Japan is Tokyo." from the prompt
"What is the capital of Japan?". Includes purple feedback loop showing each
predicted token appended back into the input.
Co-Authored-By: Claude <noreply@anthropic.com>
Visual aid showing how the model issues tool calls and the harness executes
them against the outside world. Used by the new Tool Calling slide.
Co-Authored-By: Claude <noreply@anthropic.com>
Vector replacement for the previous disrupt-logo.png raster, keeping crisp
rendering at any projection scale.
Co-Authored-By: Claude <noreply@anthropic.com>
Reorganize the screenshot under harness/ alongside other harness-limitation
assets. File contents unchanged (rename detected as 100% similarity).
Co-Authored-By: Claude <noreply@anthropic.com>
Used on learning-journey slide 4 to illustrate Claude guessing the wrong year
— a knowledge-cutoff failure that motivates injecting context (CLAUDE.md,
MCP) rather than relying on better prompting.
Co-Authored-By: Claude <noreply@anthropic.com>
Used on learning-journey slide 4 to illustrate Claude miscounting letters in
"strawberry" — a tokenization failure that motivates why tools (not prompts)
are the real fix.
Co-Authored-By: Claude <noreply@anthropic.com>
Shayan Rais