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first_img Safe Q2 transaction volume reached a record nearly 130 million, with continued compound growth in smart account usage

According to the Q2 2026 report released by the Safe Ecosystem Foundation on Wednesday, Safe smart accounts processed nearly 130 million transactions in the second quarter, setting a quarterly historical record with a 5.7% quarter-over-quarter growth. The total number of accounts reached 63.4 million, a year-on-year increase of 20%, and the monthly active accounts in June rose to 2.73 million. The transaction volume in April alone reached 55.4 million, the highest in history. The quarterly transfer amount reached $39.3 billion, a year-on-year increase of 8%, and the self-custodied assets at the end of the quarter amounted to $27.24 billion (including $6.48 billion in stablecoins), with project revenue of $1.98 million, a year-on-year increase of 42%.Co-founder Lukas Schor stated that Safe is evolving from a mere asset holding tool to a broader range of use cases, with usage continuing to grow at a compound rate in a weak market. The Safenet Beta, launched on April 2, attracted 54.8 million SAFE staked (with 539 stakers) in its first quarter and has checked over 500,000 transactions, operated by six validators including Greenfield and Gnosis. Additionally, after the KelpDAO attack incident, Aave-led DeFi United coordinated approximately $300 million through Safe smart accounts to help restore rsETH support, with over 142,000 wallets participating. The SAFE token rose 4.2% in the past 24 hours.

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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