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MACHINE LEARNING
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RemeDi: LLMs Self-Correct Mistakes Through Remasking Mechanism
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LLMs could spot their own mistakes and revise them on the fly. Researchers are tackling this with RemeDi (Remasking-enabled Diffusion Language Model), a new model that introduces a "remasking" mechanism for more flexible text generation. Instead of just predicting tokens,
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Image Extraction Replaces Processing with Metadata
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Image extraction, not image processing. I.e in their example with a signature, the signature doesn't get extracted at all, but instead is replaced with metadata.
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RoboChallenge: Embodied AI Reaches ImageNet Moment
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Embodied AI has reached its ImageNet moment.
— 机器之心 JIQIZHIXIN (@jiqizhixin) 19 octobre 2025
Dexmal, in collaboration with Hugging Face, has released RoboChallenge.
It's the first large-scale, multi-task benchmark in which real robots perform manipulation tasks in real-world physical environments.
Our report:… pic.twitter.com/UVBZdUXUjhEmbodied AI has reached its ImageNet moment. Dexmal, in collaboration with Hugging Face, has released RoboChallenge. It's the first large-scale, multi-task benchmark in which real robots perform manipulation tasks in real-world physical environments. Our report:
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Sigmoid Curves Not Exponential Growth Stack Innovation
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Worse, they imply other scaling laws should rather be fit to sigmoids. The only reason we're seeing "exponential" looking growth is because of human ingenuity stacking the sigmoid curves! (Great time to be in fundamental research rather than blindly following corporate trends.)
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RL on LLMs Hits Scaling Ceiling at 61% Performance
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It's hard to overstate how devastating this paper is, not only for reinforcement learning. They spent $4m of compute to find out that RL on LLMs basically taps out at 61% "asymptotic pass rate" (exact rate depends on context), but they built a *ceiling* into the scaling law!
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Real-Time Machine Monitoring and Predictive Maintenance for Industry
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Enabling Connected Operations Through Real-Time Machine Monitoring, Predictive Maintenance, and Automation
An article by Sreedevi Voleti, Consultant, Techwave. https://
buff.ly/o4syw31 #techwave_iiot #Industry40 #DigitalTransformation #Automation @lucianilie15 via @fogoros -
AI System Transforms Historical Research into Structured Timelines
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Event Deep Research An AI system that transforms historical research into structured timelines, automatically extracting and organizing biographical data from multiple sources into chronological JSON format. Check out the project https://
github.com/bernatsampera/
event-deep-research
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