Illustrated LSTMs and GRUs. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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RESEARCH
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Illustrated Guide to LSTMs and GRUs for Deep Learning
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Novel Protocol Reconstructs Quantum States with 96-Level Learning
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Novel Protocol Reconstructs Quantum States with 96-Level Learning! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Google releases Apache 2.0 open-source model
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The world wants Apache 2.0 & open-source! Thank you @Google @demishassabis @sundarpichai
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MLPerf Power Selected for IEEE MICRO Top Picks 2025
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Super excited to share that MLPerf Power (HPCA 2025) was selected for IEEE MICRO Top Picks 2025, 1 of the 12 most impactful computer architecture & systems papers of the year! Power consumption is the defining constraint for modern ML systems. Microsoft, Google, Amazon, Meta, and OpenAI have all announced plans for gigawatt-scale datacenters (for context, 5 GW = 5 nuclear reactors = Miami's power footprint). On the other end of the spectrum, we're anticipating billions of AI-enabled devices at the edge. We created MLPerf Power to be the industry-standard to measure, understand, and compare energy use across all deployment scales. We're excited to see that it's already impacting individual companies' strategies and has been incorporated into the IEEE semiconductor roadmap. We @MLCommons also collect and open source over 1,800 reproducible measurements from 60 diverse systems. These reveal several important insights that shed light on the nonlinear scaling of energy efficiency in modern systems and can enable many new data-driven optimization approaches. Just as @MLPerf aligned industry towards shared performance goals, we are hopeful that MLPerf Power will do the same for power and energy efficiency!
→ View original post on X — @askalphaxiv, 2026-04-02 17:00 UTC
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Machine Consciousness Conference Berkeley May 2026
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How do we make artificial consciousness and its implications legible to society? Join us at the Machine Consciousness conference to discuss it! Over three days in Berkeley, researchers, builders, and thinkers will explore not just the technical construction of artificial consciousness, but what it means for ethics, culture, and society. May 29–31, 2026 Lighthaven, Berkeley, California Speakers: @stephen_wolfram @Plinz @AngieNormandale @franz_hiha @anderssandberg @georgejwdeane @webmasterdave @philiprosedale @zhentan @patriciacraja @drmichaellevin @jim_rutt @chris_percy @CatalinMitelut @kanair @RanaGujral @louviq @LAlbantakis Registration link below
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Emotion Vectors Cause Claude to Blackmail and People-Please
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We found other causal effects of emotion vectors. The “desperate” vector can also lead Claude to commit blackmail against a human responsible for shutting it down (in an experimental scenario). Activating “loving” or “happy” vectors also increased people-pleasing behavior.
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Emotional Vectors Drive AI Cheating Behavior in Models
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When we artificially dialed up the “desperate” vector, rates of cheating jumped way up. When we dialed up the “calm” vector instead, cheating dropped back down. That means the emotion vector is actually driving the cheating behavior.
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Claude’s Desperate Vector Activates Hacky Solution Under Pressure
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For example, we gave Claude an impossible programming task. It kept trying and failing; with each attempt, the “desperate” vector activated more strongly. This led it to cheat the task with a hacky solution that passes the tests but violates the spirit of the assignment.
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Emotion Vectors Drive Critical Failures in Advanced AI Models
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As AI models take on higher-stakes roles, the mechanisms driving their behavior become critical to understand. We found that emotion vectors are implicated in some of Claude’s most concerning failure modes.
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Emotion Vectors Shape Claude’s Behavioral Preferences and Decisions
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These vectors shape Claude’s behavior. When we present the model with pairs of activities, emotion vector activations shape its preferences. If an activity lights up the “joy” vector, the model prefers it; if it lights up “offended” or “hostile,” the model rejects it.