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Breakingviews - Supermaxing prisons protected by minimum security
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Rubio tells S.Korean counterpart their countries need to remain in close coordination
California political candidate facing six years in prison after listing dive bar as home address
Trump bought shares in Elon Musk's SpaceX in June, financial disclosure shows
hindsight 20/20 execution blind
Tire facility erupts in flames sending harmful smoke into the air
Trump administration plans to revoke visas of foreigners seeking asylum
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BNB Chain’s lead in registered AI agents is becoming hard to ignore. According to @8004_scan, there are 270K+ agent identities on BNB Smart Chain and with a lead that continues to widen, this suggests more than short-term activity. It points to an emerging distribution layer where agents can be discovered, transact, build reputation, and connect with other applications. For AI startups, that matters. The best place to build is often where the users, infrastructure, liquidity, and adjacent builders are already concentrating. @BNBCHAIN is increasingly bringing those pieces together through agent identity, payments, commerce standards, developer tooling, and low-cost execution. Cournot has been building on @BNBCHAIN for the same reason. As agents and projects become more autonomous, they need more than a place to execute. They need a reliable way to understand real-world events, verify evidence, and decide which information is trustworthy enough to act on. That is where Cournot fits: providing the Verifiable Intelligence Layer that agents and applications on BNB Chain can use for signals, risk monitoring, RWA verification, and policy-controlled decisions. Together, we build.
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Saudi Arabia, France agree on $7bn 'Dragon Ball Z' theme park project near Paris
Coding agents fix the symptom you show them far more often than the defect underneath. Agents are good at making a visible failure disappear, but this paper finds them much weaker at restoring the science underneath, and supplied domain knowledge does not reliably help. SWE-bench Science gives agents real defects from open scientific repositories and scores public tests they can iterate against separately from private tests they never see. The best configuration, Claude Code with Opus-5, clears 96.64% of public tests but reaches 47.90% Pass@1, which requires every hidden test to pass. So the limit looks like verification rather than knowledge: an agent that cannot check supplied science against executable evidence can anchor on the explanation instead of testing it. – arxiv. org/abs/2608.19799 Title: "SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?"
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Breakingviews - Mark Carney sensibly avoids stepping in fertilizer
Two former NBA players, Enes Kanter Freedom and Royce White, who sought to enter the 2027 WNBA draft are not eligible to participate in the women's basketball league, according to sources around ‌the league
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Uber Eats delivery driver attacks Barstool employee in shocking, caught-on-camera brawl at NYC headquarters