to show up on someone's For You page, your tweet has to go through 1. light ranker: a fast pre-filter algorithm, a `maybe` or `no` decision maker 2. heavy ranker: a deeper neural network that scores tweets using thousands of features to predict engagement likelihood
SYSTEMS
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X’s SimClusters: Interest-Based Recommendation Algorithm Explained
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X's simclusters how does X show your tweet to people who don't follow you? simclusters > it groups users into interest-based communities > then shows you posts popular in your clusters > the algo doesn't care who follows you > it cares who engages in a similar fashion to you
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X Algorithm Visibility: Trust, Reputation, and Engagement Factors
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your visibility is decided by several factors > pagerank-style trust
> reputation graphs
> live engagement scores
> content bundles
> safety filters the X's algo tracks every click, block, mute, reply, and share so, how does it all work together? -
14x RTX 3090 GPUs with NVLink Bridge Configuration
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14x RTX 3090s, each on PCIe 4.0 x8, 16 GB/s per card NVLink bridges pair up 7 sets for 112.5 GB/s GPUGPU, rest goes over PCIe
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NVLink Configuration Achieves 112GB/s Multi-Node Data Transfer Rate
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for this node, i have 7x NVLinks establish 112GB/s data transfer rate between each pair
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Phase 5: AI as a System for Founders’ Leadership
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9/ Phase 5: Leadership AI isn’t a feature. It’s a system. Founders must:
• Think in compounding systems
• Train teams in evals, safety, costs
• Sell AI internally with ROI, not hype -
Causal Substrate and Symbolic Representation in Models
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"Does a causal substrate necessarily need to be symbolic?" you ask. Could it be based on parametric curves? Yes it does, because in such a substrate the model is isomorphic to the graph of causal factors of what you are modeling. And such a graph is necessarily very sparse, i.e.
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OT and IT Systems Convergence in Industrial Cybersecurity
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Securing the Convergence: OT and IT Systems in the Modern Age An article by Ellie Gabel, freelance writer and an associate editor for Revolutionized Living. https://
buff.ly/mMWA0NW #Revolutionizedliving_iiot #IIoT #Cybersecurity #IndustrialSecurity @IIoT_World @reach2ratan -
Self-Evolving AI Agents: Continuous Adaptation Through Feedback
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9. Self-Evolving Agents This survey reviews techniques for building self-evolving AI agents that continuously adapt through feedback loops, bridging static foundation models with lifelong adaptability.
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Adaptive LLM Routing Framework Learning Online Query Models
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6. Adaptive LLM Routing A routing framework that learns online which model to call for each query while honoring a spend limit.