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Telegram claims to have suffered from "de-listing extortion" attacks: the temporary removal of the app from the Apple App Store was caused by a user embedding prohibited content

Telegram founder and CEO Pavel Durov stated that Telegram was briefly removed from the App Store by Apple recently due to a user embedding illegal pornographic content in a public group. The app was restored within hours.Durov mentioned that the attackers exploited a technical vulnerability to insert AI-modified illegal content into old messages in active groups, hiding the content by editing historical messages, making it difficult for regular group members to discover and report it in a timely manner. Such attacks are classified as "takedown extortion," where attackers use automated accounts to embed violations in public groups and report them to platforms like Apple, attempting to force group administrators to pay a ransom, or else the community would be banned due to platform rules.Durov further explained that Telegram continuously combats illegal content through user reports, AI filtering, content hashing, and other mechanisms. This incident is not a systemic issue of the platform but rather a targeted attack exploiting rule loopholes by the attackers.He also warned that Apple's direct removal of the app without prior contact with Telegram could pose risks to all mobile applications that provide user-generated content (UGC), and platform developers need to enhance their defenses against malicious reporting and "takedown attacks."

first_img OpenAI resets all ChatGPT Work and Codex user usage, with an expected extension of about 18% after optimization

On July 29, Tibo, the product lead for OpenAI Codex, announced on X that all usage limits for ChatGPT Work and Codex users have been reset, and released a statement regarding the issue of rapid consumption of GPT-5.6 Sol usage.In the previous weeks, a large number of users reported that the consumption speed of Codex limits exceeded expectations. OpenAI emphasized that it has not reduced the usage quotas of any subscription plans. After investigation, several reasons were found: Sol is more inclined to work for longer periods, execute more tool calls, and coordinate complex workflows than previous models; it consumes more tokens at the same reasoning level; programmatic tool calls (code mode) allow Sol to execute tool calls in parallel, resulting in more responses and higher usage per round; the distribution of impact is extremely uneven, with median user efficiency being acceptable, but heavy users handling complex tasks consuming far more than expected.OpenAI stated that multiple improvements have been completed, and it is expected that usage endurance will be extended by about 18% in typical usage scenarios. Tomorrow, the five-hour limit that was paused during the investigation will be restored. OpenAI acknowledged that "capabilities and efficiency do not always improve synchronously, and some issues only become apparent after large-scale real-world use; we should have realized this earlier."
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