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Bangkok floodwaters recede after torrential rain as residents count losses
Bangkok floodwaters recede after torrential rain as residents count losses
Bangkok floodwaters recede as officials race to drain canals
Bangkok sees floodwaters subside as officials step up canal drainage efforts
Bangladesh is preparing to raise between $500 million and $1 billion through its maiden foreign-currency sovereign bond sale within the next three months, a senior government official said
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Bangkok declared a disaster zone after more than 24 hours of rainfall caused flooding, prompting residents to stock up on supplies and move vehicles to higher ground
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Bangkok has declared all of its 50 districts as disaster zones after almost 48 hours of heavy rain caused widespread flooding.
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Bangladesh has resumed wheat purchases from its western neighbor, after India’s plentiful supply encouraged it to lift an export ban at a time when Black Sea trade disruptions have sent global prices soaring.
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Banger paper from Microsoft Research and colleagues. It studies the potential benefits of agents that share progress while they work. (bookmark it) Communication is still a challenge with multi-agent systems. In this setup, agents have no predefined roles and communicate via a shared directory. They report that a team of k agents that write their findings to a shared directory matches the success rate of 4k agents working independently on ARC-AGI-3. The gap grows with k, and teams reliably solve some tasks that no single agent solves. The same setup beat best@k on polyomino packing and exceeded the prior best-known score. On MNIST compression, a four-agent team wrote a 1,957-byte classifier with 99.4% test accuracy, smaller than the best-known human solution. Independent agents still do better when compute is tight or when there is no clear measure of progress, so the paper also tells you when it might be a good idea to skip communication. Paper: Chat with Paper:
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Banger paper from Stanford and Together AI. They show why it might be a good idea to let your agent team learn its own way of working together. (bookmark it) Three models (o3-mini, Claude Sonnet 4 and DeepSeek-V3) averaged 66.7% across five math and physics benchmarks as a self-organizing team. Their strongest member alone scored 48.8%, and a perfect router choosing among the members' independent answers scored 59.0%. On AIME 2026 the team reached 71.2%, 13.4 points above that router. One member reviews the team's earlier exchanges and rewrites the teamwork strategy, covering roles, the order of discussion phases, who participates and how partial answers are combined. The strategies were learned from only 15 AIME 2024 problems and then applied unchanged to held-out AIME 2024 problems and four new benchmarks. Paper:
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