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<div class="orb orb-1"></div>
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<div class="container">
<!-- Header -->
<header>
<div class="subtitle">Deep Delta Learning & The Illusion of Insight</div>
<h1>AI 会“顿悟”吗?</h1>
<div class="intro-text">
当它说“等等,我错了”时,是真的在思考,还是系统崩溃前的“恐慌”?本期视频深度解读两篇颠覆认知的硬核论文。
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</header>
<!-- Section 1: Deep Delta Learning -->
<div class="card">
<div class="card-header">
<div class="card-icon">D</div>
<div class="card-title">Deep Delta Learning<br><span style="font-size:14px; font-weight:400; color:var(--text-secondary)">给 AI 的“骨架”装上刹车与倒挡</span></div>
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<div class="image-container">
<img src="https://sfile.chatglm.cn/image/db/dbcda2b8.jpg" alt="AI Brain Network">
<div class="image-overlay">普林斯顿 & UCLA 最新研究</div>
</div>
<div class="text-block">
经典的 ResNet 就像“只有油门的汽车”,只能做加法。DDL 引入了 <span class="highlight">β 参数</span>,让神经网络拥有了“遗忘”和“反向调节”的能力。
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A(X) = I - β(X)k(X)k(X)<sup>T</sup>
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<span>β ≈ 0</span>
<div class="beta-desc">恒等<br>(Identity)</div>
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<span>β ≈ 1</span>
<div class="beta-desc">投影<br>(Erase)</div>
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<div class="beta-point">
<span>β ≈ 2</span>
<div class="beta-desc">反射<br>(Reflect)</div>
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<strong>ResNet</strong><br>
只能前进<br>
信息只加不减
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<strong>DDL</strong><br>
前进/刹车/倒挡<br>
几何反射与正交投影
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<!-- Section 2: The Illusion of Insight -->
<div class="card">
<div class="card-header">
<div class="card-icon" style="background: linear-gradient(135deg, var(--accent-pink), var(--accent-purple));">I</div>
<div class="card-title">The Illusion of Insight<br><span style="font-size:14px; font-weight:400; color:var(--text-secondary)">洞察力的幻觉:是顿悟还是恐慌?</span></div>
</div>
<div class="text-block">
<div style="margin-bottom:10px;">
大模型在推理过程中的“自我纠错”,往往伴随着极高的<span class="highlight" style="color:var(--accent-pink)">熵值 (Entropy)</span>。这通常是推理混乱和“恐慌”的信号,而非智慧的火花。
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<div class="graph-step step-1">
<strong>High Entropy</strong><br>模型“慌乱”
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<div class="arrow">→</div>
<div class="graph-step step-2">
<strong>Self-Correction?</strong><br>幻觉的顿悟
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<div class="arrow">→</div>
<div class="graph-step step-3">
<strong>Forced Aha</strong><br>外部干预纠错
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<span class="keyword-tag">Spontaneous Shift</span>
<span class="keyword-tag">Instability</span>
<span class="keyword-tag">Extrinsic Trigger</span>
<span class="keyword-tag">Accuracy Boost</span>
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<!-- Section 3: Conclusion -->
<div class="card" style="background: linear-gradient(135deg, rgba(168, 85, 247, 0.15), rgba(56, 189, 248, 0.15)); border: 1px solid var(--accent-purple);">
<div class="card-header" style="border-bottom: none; margin-bottom: 0;">
<div class="card-title" style="text-align: center; width: 100%;">智慧的哲学拷问</div>
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<div class="text-block" style="text-align: center; font-size: 15px; color: #fff;">
当数学结构越来越像大脑,当模拟的思考越来越逼真,我们该如何定义智慧?是纯粹的算法优化,还是存在某种尚未被理解的“涌现”?
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<div class="quote">"ResNet vs. DDL: From Addition to Geometric Reflection"</div>
<div style="font-size: 10px; color: rgba(255,255,255,0.5);">
Sources: arXiv:2601.00417, arXiv:2601.00514 | Princeton, UCLA
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