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AI research breakthroughs, or "holy shit" graphs, analyzed for acceleration

The concept of "holy shit" graphs, which represent significant breakthroughs or unexpected insights, is explored as a measure of progress in AI research. These graphs are characterized by steep, exponential increases in performance or capability, indicating a rapid advancement rather than a slow, linear improvement. The author suggests that fostering an environment conducive to such discoveries, potentially through specific organizational structures or research methodologies, could lead to more frequent and impactful breakthroughs in the field. AI

IMPACT Explores how to foster environments that yield significant AI breakthroughs, potentially accelerating future advancements.

RANK_REASON The item discusses a conceptual framework for understanding AI progress, rather than a specific event or release.

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI research breakthroughs, or "holy shit" graphs, analyzed for acceleration

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The item discusses a conceptual framework for understanding AI progress, rather than a specific event or release.
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · June Jimenez ·

    "Holy shit" graphs and how to get more of them

    <p><span style="white-space: pre-wrap;">We are likely in a situation where the most powerful models in the world are internal models, and, here's a key distinction, potentially even models that are </span><a href="https://www.axios.com/2026/08/14/anthropic-model-2-ai-risk" rel="n…