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    <title>Compute on JVQ.net: Just Very Quick</title>
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      <title>Mustafa Suleyman: AI Development Won&#39;t Hit a Wall Anytime Soon—Here&#39;s Why</title>
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      <pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Mustafa Suleyman opened his MIT Technology Review essay with a crisp diagnosis of the problem: we evolved for a linear world, and that makes us catastrophically bad at perceiving exponential change. The argument flows cleanly from there.&lt;/p&gt;&#xA;&lt;p&gt;Suleyman, who co-founded DeepMind and now runs Microsoft AI, has been inside the compute curve since 2010. By his count, the amount of training data going into frontier models has grown by a trillion times over that period—from roughly 10¹⁴ floating-point operations to numbers that require scientific notation to state without embarrassment. The skeptics who keep predicting a wall keep being wrong, he argues, not because they misunderstand the individual constraints (Moore&amp;rsquo;s Law deceleration, data exhaustion, energy limits) but because they underestimate how many parallel levers the industry is pulling simultaneously.&lt;/p&gt;</description>
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