
TRACES is a benchmark for discoverative AI: systems that earn answers nobody has yet, instead of retrieving a known one.
The Hook
“Most benchmarks begin with an answer key. Scientific discovery is different.”
Problem Agitation
“What if the answer is unknown? TRACES transforms real-world problems into executable environments where AI systems can observe, act, use tools, learn from feedback and work toward a solution alongside the final result.”
Product Reveal
“TRACES evaluates six capabilities fundamental to discoverative AI: Tools, selecting, calling and correctly interpreting external tools. Repair, locating and correcting errors once feedback arrives. Alternatives, laying out competing hypotheses as evidence accumulates. Coherence, holding state, constraints and logic intact across a long chain of work. Evidence, grounding every conclusion in observation, data, experiment or citation. Scope, stating where a conclusion holds—and where it does not.”
Call to Action
“Together, TRACES evaluates both outcome and process—the path it took supports the conclusion. Discovery begins where the answer key ends.”
Synthesizable in Remotion · key components of the apodex-traces-quantum-launch template.
Text appears and transforms, with specific words or phrases being replaced or highlighted dynamically, often with a subtle fade or scale effect.
Utilize Remotion's 'Sequence' and 'interpolate' functions. Animate 'opacity' and 'scale' properties for individual words or phrases. Use 'spring' for a subtle bounce on new word appearance. Implement conditional rendering for text changes.
Individual cards, each representing a letter and its definition, slide into view sequentially, often pushing previous cards off-screen or adjusting their position.
Employ Remotion's 'AbsoluteFill' for layout and 'spring' for card entry/exit animations. Animate 'translateX' and 'opacity' for each card. Manage state to control which card is active and its content.
A dark background features a subtle, abstract animation of data points or particles flowing and dissipating, creating a sense of depth and technological activity.
Implement a Canvas or SVG animation within Remotion. Use 'Perlin noise' or 'particle systems' for generative movement. Animate 'opacity' and 'position' of individual elements with a slow, continuous loop. Apply a subtle 'blur' filter for depth.
Purpose. Immediately challenges conventional thinking about AI evaluation, setting up the core problem TRACES solves.
Execution. A collage of scientific imagery fades to a bold serif headline, followed by a quick cut to a real-world lab setting.
Purpose. Agitates the problem of unknown answers in AI and introduces TRACES as the transformative solution.
Execution. Rapid cuts of lab work with dynamic text overlays, building tension and then introducing the system's capabilities.
Purpose. Systematically explains the six core capabilities of TRACES, building credibility and understanding.
Execution. Animated cards slide in, each detailing a 'TRACES' capability with clear text and a consistent visual style.
Purpose. Summarizes the unique value proposition and directs viewers to learn more.
Execution. A concluding statement on discovery, followed by the company logo and website, with a subtle background animation.
Objective
Launch a new quantum computing platform, QUBIT, that solves complex optimization problems beyond classical computation.How the recipe adapts
The 'DynamicWordWipe' primitive would be used to highlight the limitations of classical computing, transitioning to QUBIT's capabilities. 'SlidingDefinitionCards' would explain QUBIT's modules like 'Quantum Annealing' and 'Superposition Processing'. The 'SubtleBackgroundDataFlow' would be adapted to show abstract quantum entanglement or qubit states, replacing the generic data points. The color palette would shift to deep blues and purples with bright cyan or green accents for quantum effects. Typography would remain consistent, using serif for impactful statements and sans-serif for technical explanations.Scene durations (9 scenes, 68s)
Key Remotion components
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