Is your multimodal AI struggling with incomplete data? Researchers from Imperial College London introduce DyMo. DyMo is a new framework that dynamically selects and combines the most reliable information from various data streams, even when some are missing. It cleverly
RESEARCH
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Possibility Space Exceeds Conceivable Action in AI Systems
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The space of things you can do is much greater than the space of things you can conceive of doing.
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AI Accelerates Genomics Research, Unlocking Years of Discovery
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They unlocked 7 years of potential in 30 minutes. AI science-reserach technology is unbelievable, accelerating discovery in genomics and opening doors we never imagined. *Thats* what im excited about! Just imagine all the possibilites! pic.twitter.com/cmeWAaKsyZ
— Chubby♨️ (@kimmonismus) 21 mars 2026They unlocked 7 years of potential in 30 minutes. AI science-reserach technology is unbelievable, accelerating discovery in genomics and opening doors we never imagined. *Thats* what im excited about! Just imagine all the possibilites!
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AI Progress Measured by Intelligence Sharpe Ratio
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A good measure of progress in AI is the intelligence Sharpe ratio, a system's average intelligence across tasks divided by its standard deviation. By this measure, current AIs are still very weak because their variance is so high.
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Humility in AI: Avoiding Veneration Amid Rapid Change
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Ehh I don't think that's the attitude to bring. We're all just one person each working with very new workflows, with the models changing underneath us. I'm sure he would tell you not to venerate.
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Agentic AI and Intelligence Explosion Essay
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"The recent explosion of agentic AI suggests the possibility of something similar at the scale of billions of interacting minds, human and non-human alike."
An essay on the Intelligence Explosion @ScienceMagazine by @profjamesevans @bratton @blaiseaguera -
Joseph Fourier’s 1822 Equation Powers Modern MP3 Audio
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Happy birthday Joseph Fourier, whose 1822 equation allows us to listen to mp3 audio files today: https://
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Industrial DataOps: Adding Context to Raw Sensor Data for AI
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Raw sensor data without context is noise. Industrial DataOps adds the context that makes AI recommendations reliable. Without it, a 98C temperature reading could mean normal operating range or imminent equipment failure. Your AI model cannot tell the difference without proper
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User reports stable Opus 4.6 performance with 1m context window
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I exclusively use 1m, haven’t noticed issues with opus 4.6