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    <title>The Next Token</title>
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    <description>An independent publication about artificial intelligence: the news that matters, how the technology works, the research behind it and the products worth using.</description>
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      <title>Coding benchmarks that leak their answers, and which scores to trust</title>
      <link>https://thenexttoken.net/posts/coding-benchmark-answer-leaks</link>
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      <pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate>
      <category>Research</category>
      <description>Agents can read the fix from Git history, PyPI or GitHub, or edit the tests. Which coding benchmarks close each leak, and what closing them does to scores.</description>
    </item>
    <item>
      <title>EU AI Act Article 50: who must mark output from apps built on Claude, GPT and Gemini, and by when</title>
      <link>https://thenexttoken.net/posts/eu-ai-act-ai-content-marking</link>
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      <pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate>
      <category>News</category>
      <description>If your app generates text, images or audio for people in the EU, Article 50 marking is likely your duty. Who it falls on, what to mark and from when.</description>
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    <item>
      <title>Six cheap models tested on extracting data into a JSON schema</title>
      <link>https://thenexttoken.net/posts/cheap-models-for-data-extraction</link>
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      <pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
      <category>Products</category>
      <description>On 104 synthetic documents, GPT-6 Luna and Claude Haiku 5.5 got nearly every record right for under $0.25 per 1,000. Valid JSON never meant correct fields.</description>
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    <item>
      <title>How to grade a claim about AI, from rumour to reproduction</title>
      <link>https://thenexttoken.net/posts/how-to-grade-an-ai-claim</link>
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      <pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
      <category>Notes</category>
      <description>Grade an AI claim by what its evidence has done: rumoured, announced, documented, available, measured or reproduced. Worked on five October 2026 claims.</description>
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    <item>
      <title>Does max_tokens count against your rate limit? On Anthropic no, on most other platforms yes</title>
      <link>https://thenexttoken.net/posts/max-tokens-rate-limits</link>
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      <pubDate>Wed, 14 Oct 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>Anthropic&apos;s API has ignored max_tokens for rate limits since February 2026; OpenAI, Azure, Bedrock and Databricks charge it before a request runs.</description>
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    <item>
      <title>Why temperature 0 does not give the same answer twice</title>
      <link>https://thenexttoken.net/posts/why-temperature-zero-is-not-deterministic</link>
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      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>Temperature 0 always picks the top token, but server batching changes the arithmetic behind the scores. Why outputs vary, and what seeds really promise.</description>
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    <item>
      <title>Why the same text is more tokens on one model than another</title>
      <link>https://thenexttoken.net/posts/why-token-counts-differ</link>
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      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>Each model family splits text with its own tokeniser, so one prompt can need 5% more tokens or four times as many. Measured by content type and language.</description>
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    <item>
      <title>How much GPU memory a local model needs, and why a 4-bit model fills the card</title>
      <link>https://thenexttoken.net/posts/how-much-vram-a-local-model-needs</link>
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      <pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>A local model needs its weights plus a KV cache sized for the whole context window. How to work out both from config.json, and why runtimes fill the card.</description>
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    <item>
      <title>How AI text watermarks work, and what detecting one can prove</title>
      <link>https://thenexttoken.net/posts/how-ai-text-watermarks-work</link>
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      <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>Text watermarks bias word choice with a secret key. How detection works, what a positive result proves, and why edits and paraphrase weaken the mark.</description>
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      <title>How prompt caching works, from the KV cache to your bill</title>
      <link>https://thenexttoken.net/posts/how-prompt-caching-works</link>
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      <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>A prompt cache reuses the model&apos;s computed state for an identical prefix, so one early edit can re-bill the whole request. How it works and what it costs.</description>
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      <title>Reasoning effort: what the dial actually controls, and what it costs</title>
      <link>https://thenexttoken.net/posts/what-reasoning-effort-controls</link>
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      <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>Reasoning effort on Anthropic, OpenAI and Gemini APIs guides how much work a model does; it is not a token count. What it changes, and when more effort pays.</description>
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    <item>
      <title>Why new model APIs reject temperature, forced tool choice, prefill and edited history</title>
      <link>https://thenexttoken.net/posts/why-new-model-apis-reject-old-parameters</link>
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      <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
      <category>How it works</category>
      <description>New Claude, GPT-6 and Gemini 3.8 Flash models reject or ignore old request patterns. What replaces each, and which reasons are documented.</description>
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