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    <description>What changed in AI, what it is useful for, and what you can do with it.</description>
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    <lastBuildDate>2026-09-15T10:19:50+00:00</lastBuildDate>
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      <title>OdoBot web agent reports 44-80% fewer tokens than two rival agents</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/odobot-web-agent-token-cost</link>
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      <pubDate>2026-09-15T05:46:18+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>A preprint describes OdoBot, a web agent that builds a model of an application from successful task demonstrations. On 45 Canvas LMS tasks it used 44% and 80% fewer tokens than Agent-E and WebVoyager and beat WebVoyager on success rate; the abstract gives no release, hosting or price details.</description>
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      <title>Judge-guided revision narrows the gap between cheap and costly patent drafts</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/judge-guided-patent-drafting</link>
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      <pubDate>2026-09-15T05:35:23+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>A preprint scores AI-drafted patents with a separate model acting as judge, then feeds that feedback back to the drafting agent. Judge-guided revision improved judge-assessed quality and let a low-reasoning agent approach a much more expensive one, but the same judge agreed with a professional patent attorney only in metric-dependent ways.</description>
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      <title>GitHub Copilot auto model selection adds efficiency, balance, and intelligence tiers</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/copilot-auto-model-selection-tiers</link>
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      <pubDate>2026-09-14T17:22:48+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>GitHub Copilot auto model selection now offers three tiers: efficiency, balance, and intelligence. The tier you choose reflects how you want auto to weigh cost, quality, and response time.</description>
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      <title>Autonomous AI Agents: What They Can Do and How to Manage the Risks</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/agent-autonomy-and-risk</link>
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      <pubDate>2026-09-12T23:52:46+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>A guide from the workflow-automation vendor n8n sets out how autonomous agents differ from ordinary automation, where most production deployments sit (partially autonomous, with a human approving high-stakes steps) and why one bad inference can cascade across tools and records.</description>
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      <title>OpenRouter&#x27;s GPT Sol Latest alias always points to the newest model</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/openrouter-latest-model-alias</link>
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      <pubDate>2026-09-12T22:09:34+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>OpenRouter lists a model entry called OpenAI: GPT Sol Latest that it says always redirects to the newest model in the GPT Sol family. The listing does not say how quickly the redirect follows a release or whether calls through the alias are priced differently, so an app that needs a fixed model still has to name the version it tested.</description>
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      <title>Nemotron specialists reach IMO gold threshold with open natural-language pipeline</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/nemotron-open-proof-pipeline</link>
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      <pubDate>2026-09-12T07:49:30+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>Two Nemotron 3 Ultra specialist checkpoints scored 30 of 42 points at IMO 2026, the gold-medal threshold, working entirely in natural language with no formal prover, external tools or internet access. The release includes the checkpoints, the training data, the training and inference code, the submitted solutions and a 200-problem benchmark.</description>
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      <title>Handing arithmetic to a solver helps a 32B model, not a 7B one</title>
      <link>https://news.briefpulse.com/publications/practical-ai/stories/deterministic-solver-for-clinical-math</link>
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      <pubDate>2026-09-12T07:47:31+00:00</pubDate>
      <category>BriefPulse Practical AI</category>
      <description>A preprint tests whether a model can write case-specific Python for a restricted executor instead of doing clinical arithmetic itself. The handoff helped a 32B open-weight model but not a 7B one, and the authors flagged 16 of the 55 benchmark calculators for version, use or coefficient concerns.</description>
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