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Key Points: Kaito algorithm update disrupts data windows, affecting users’ access. Solution anticipated to take additional fixing hours. Monitor official channels for updated retrieval timelines. Kaito’s founder Yu Hu confirmed a recent algorithm update has caused data window discrepancies, impacting user accessibility on the platform as of April 27, 2025. This issue is being addressed, with resolution efforts expected to span several hours. The algorithm backfill resulted in erroneous data windows (30 days, 3 months, etc.) for Kaito users. Recovery efforts are underway, however, data continuity may persistently affect operational analytics. Immediate stakeholder vigilance is advised to avoid data misinterpretation during this interim. Kaito Algorithm Update Disrupts User Access Yu Hu, Kaito’s founder, announced via X that a new algorithm inadvertently impacted historical data visibility, leading to user disturbance in utilizing platform features. This initiative stressed the necessity for immediate data integrity measures to mitigate further disruptions. While the corrective process is in motion, an extended recovery timeline is anticipated. Yu Hu reassured users that the platform’s team pursues a swift resolution to restore data accuracy swiftly. The event led to varying market responses. Industry insiders maintain cautious optimism for a quick turnaround, with assurances about data recalibration. Kaito’s strategy aligns with maintaining high data reliability expectations among its user base, minimizing potential reputational risks. “The platform accidentally backfilled the new algorithm to the past 12 months, causing users to see longer time windows… We are currently fixing the data, but it will take more time to process (possibly several hours, rather than days). Please do not consider the data displayed on the platform as the final version.” – Yu Hu, Founder, Kaito Regulatory Scrutiny and Market Impact on Kaito’s Valuation Did you know? Upon major data disruptions, similar events, like The Graph resets, resulted in temporary analytics confusion without…

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Filed under: News - @ April 27, 2025 7:24 am