#AI tool poisoning exposes a major flaw in enterprise agent security
by Nik Kale @VentureBeat Learn more: https://
bit.ly/48YvAHT #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
MACHINE LEARNING
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AI tool poisoning exposes major enterprise agent security flaw
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Machine Learning for Algorithmic Trading and Time-Series Prediction
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#MachineLearning for #AlgorithmicTrading — Predictive models to extract signals from market and alternative data for systematic trading strategies with #Python and for *other* #TimeSeries prediction applications Explore http://
amzn.to/47Vd6s8 by @ml4trading via -
AI takes control of your body to teach new skills
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#AI Temporarily Takes Control of Your Body to Teach New Skills
— Ronald van Loon (@Ronald_vanLoon) 16 mai 2026
by @BrianRoemmele#Innovation #ArtificialIntelligence #MachineLearning #ML pic.twitter.com/E4d1ix5zmz#AI Temporarily Takes Control of Your Body to Teach New Skills
by @BrianRoemmele #Innovation #ArtificialIntelligence #MachineLearning #ML -
Methodology for steering AI model behavior
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“If you want your model to do something different, you don’t go and perform brain surgery in the neurons. You don’t reinvent the architecture of the algorithm. You don’t say ‘hey, I want my agent to be better at cobol in hospital systems, let me go and invent a new… pic.twitter.com/nhXZxntqaS
— Snorkel AI (@SnorkelAI) 16 mai 2026“If you want your model to do something different, you don’t go and perform brain surgery in the neurons. You don’t reinvent the architecture of the algorithm. You don’t say ‘hey, I want my agent to be better at cobol in hospital systems, let me go and invent a new
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SANA-WM Introduces Efficient Minute-Scale World Modeling
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"SANA-WM Efficient Minute-Scale World Modeling" Most world models can generate short controlled clips, but minute-long 720p rollouts usually need huge models, massive private data, and multi-GPU inference. This paper makes long-horizon world modeling much more practical by
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VGGT-Ω: Scaling 3D Reconstruction Models with Feed-Forward Neural Networks
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“VGGT-Ω” 3D reconstruction models is scaling like LLMs. Instead of relying on slow optimization pipelines, VGGT-Ω predicts cameras and depth in one feed-forward pass, even for dynamic video. This research makes that scaling practical with scene registers, lighter prediction
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Researchers convert autoregressive VLM into diffusion-based model
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What if you could get the smarts of an autoregressive AI model but with much faster generation? Researchers from Shanghai Academy of AI for Science and Fudan University present BARD. They convert a standard autoregressive VLM into a diffusion-based one using progressive block
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Technical Discussion on Model Weighting and User Distribution
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Are you updating the weights for your experiences and focuses vs the normal distribution of all the users a model is being served to
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The Future of Continual Learning and Local AI
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Continual Learning has already been solved, it just requires the model weights to be running locally on your own hardware so big labs are avoiding the topic altogether Local / Opensource AI will win Inevitable
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Moving Beyond Traditional Statistics in the Age of AI
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If You’re Still Worshipping Pearson Correlation, You’re Not a Data Scientist — You’re Driving a Horse Cart in the Age of AI: https://
valeman.medium.com/if-youre-still
-worshipping-pearson-correlation-you-re-not-a-data-scientist-you-re-driving-a-831dc0590de6
… My summary: Don’t just plug your data into some formula to find the answers to the questions you started with. Real Data