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AI in Industryr/MachineLearning · June 27, 2026 · 4w ago

Benchmarks for live continual learning from ModelBrew [N]

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1uh9ai9/benchmarks_for_live_continual_learning_from/"> <img src="https://preview.redd.it/w8zcug0e6v9h1.jpg?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=5c9be8f06aa08df3193c5d7ee146796546379b58" alt="Benchmarks for live continual learning from ModelBrew [N]" title="Benchmarks for live continual learning from ModelBrew [N]" /> </a> </td><td> <!-- SC_OFF --><div class="md"><p>Live continuous learning meet
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Anthropic Resets Rate Limits for All Claude Users

Anthropic has reset both 5-hour and weekly rate limits across all Claude user tiers, effectively giving everyone a fresh quota allocation. This appears to be a system-wide refresh rather than a permanent policy change. Why it matters: - Teams hitting rate caps during high-usage periods (end of sprint, campaign launches) get immediate relief without needing to upgrade or wait for natural reset cycles. - The move suggests Anthropic is actively monitoring capacity constraints and willing to manually intervene when bottlenecks emerge, a positive signal for enterprise reliability. - For developers building agentic workflows or batch processing tools, this confirms rate limits remain a real constraint to design around, not just theoretical guardrails. - Marketing teams running large content generation batches should anticipate similar future resets if infrastructure keeps pace with demand growth. This likely reflects either a capacity expansion or a response to user feedback about quota friction. Watch whether Anthropic announces permanent tier adjustments or keeps using ad-hoc resets.

X / @claudedev · 1w ago