3. The "Secret Sauce": The two settings.
4. Detail 1: Enabling Compaction.
5. Detail 2: Retaining Reasoning.
6. The Results (The 3x jump).
7. Why this matters for the industry.
8. Conclusion.
*(Drafting content in mind)*
- Use terms: *paradigma baru*, *benchmarking*, *kapabilitas penalaran*, *efisiensi komputasi*.
- Ensure the HTML structure is clean.
*Wait, the prompt asks for the final result to be "ready to publish".* I will deliver the HTML block.
*Text Content Focus:*
- ARC-AGI tests "fluid intelligence."
- Traditional LLMs often fail because they rely on memorization.
- ARC-AGI-3 is the latest hurdle.
- OpenAI's discovery: It wasn't about adding more parameters, but about how the API handles the logic stream.
- "Compaction" allows the model to strip away the "fluff" in its thought process.
- "Reasoning Retention" ensures the logical chain remains intact despite the compression.
- Result: Triple the score + better efficiency.
*Final Polish of the HTML structure:*
`...`
`...`
`...`
`...`
`...`
`...`
... and so on.
*(Proceeding to generate HTML)*
