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AI in Industryr/MachineLearning · June 26, 2026 · 4w ago

Live Continual Learning in Machine Learning [D]

<!-- SC_OFF --><div class="md"><p>My question on live continual learning use cases was removed by moderators here because they think i asked basic level question about live continual learning which i thought is a frontier level research. But anyways. Is anyone interested in talking about continual learning (live) and catastrophic forgetting? </p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/fourwheels2512"> /u/fourwheels2512 </a> <br/> <span><a href="https:/
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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