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    <title>#GovernmentAI on Home</title>
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    <description>Recent content in #GovernmentAI on Home</description>
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      <title>Anthropic vs. OpenAI: The Real Battle for Government AI Isn&#39;t the Price Tag</title>
      <link>https://yakinin.com/en/posts/20250813-anthropic-offers-claude-government/</link>
      <pubDate>Wed, 13 Aug 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Anthropic recently escalated its competition with OpenAI, offering its Claude AI models to all three branches of the U.S. government for a symbolic $1. This move directly counters OpenAI&amp;rsquo;s earlier offer, which was limited to the executive branch. While headlines might frame this as a price war, the real battle is being fought on a much more strategic level: infrastructure and security.&lt;/p&gt;
&lt;h2 id=&#34;the-infrastructure-advantage&#34;&gt;The Infrastructure Advantage&lt;/h2&gt;
&lt;p&gt;The most significant detail isn&amp;rsquo;t the price—it&amp;rsquo;s how the service is delivered. Anthropic is providing access to Claude via AWS, Google Cloud, and Palantir. This multi-cloud approach is a critical differentiator. It grants government agencies greater control, data sovereignty, and operational flexibility, allowing them to integrate AI within their existing secure infrastructure.&lt;/p&gt;</description>
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      <title>AGI Can Wait. The Real Money in AI Is in B2B and Government.</title>
      <link>https://yakinin.com/en/posts/20242610-agi-wait-b2b-govt-ai/</link>
      <pubDate>Sun, 22 Jun 2025 19:58:35 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20242610-agi-wait-b2b-govt-ai/</guid>
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&lt;p&gt;Major AI players like OpenAI, Anthropic, Google, and xAI are confronting a harsh reality: the pursuit of Artificial General Intelligence (AGI) is consuming immense budgets, but AGI itself remains a concept, not a reality.&lt;/p&gt;
&lt;h3 id=&#34;the-financial-disconnect&#34;&gt;The Financial Disconnect&lt;/h3&gt;
&lt;p&gt;The spending on AI infrastructure is staggering. In 2024 alone, hyperscalers invested nearly $197 billion:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Microsoft:&lt;/strong&gt; $80B+&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Alphabet:&lt;/strong&gt; $75B&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Meta:&lt;/strong&gt; $72B&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Yet, the financial results from AI labs don&amp;rsquo;t match the investment. OpenAI is reporting $9 billion in expenses, leading to a $5 billion loss in 2024. Elon Musk&amp;rsquo;s xAI is burning $1 billion per month on servers and chips. Anthropic and DeepMind show a similar dynamic.&lt;/p&gt;</description>
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