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Spatial foundation models aren't as "all-round" as we thought: SpatialBench reveals surprising generalization gaps and the critical importance of domain alignment over naive data scaling.
MEV searchers beware: a new, low-cost DoS attack can cripple transaction bundling services like Flashbots by exploiting inter-transaction dependencies and atomic block inclusion.
LLMs with induced personalities don't just *sound* different – they exhibit measurable and predictable cognitive performance changes, mirroring human psychology.
Scaling robot learning with human data isn't a simple "more is better" equation; alignment with robot learning objectives is key.
