Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
amzn.to/3MFbyK4 by @mark_h_liu v/ @ManningBooks
GENERATIVE AI
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Building a Text-to-Image Generator from Scratch
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Grok’s truth-seeking expectation contradicted by hallucinations
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I thought Grok was truth seeking, this is just plain old hallucinations
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Building Human-Centered Generative AI Systems for Enterprise
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Agentic AI Playbook 2026: Turning LLMs into Reliable Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
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Kling 3.0 Leads AI Video Arena Rankings
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Kling 3.0 grimpe à la 1ère place dans les deux classements Text-to-Video de l’Artificial Analysis Arena. Devant Grok Imagine, Runway Gen-4.5 et Veo 3.1. Qualité 1080p niveau cinéma + cohérence temporelle avancée = puissance commerciale inégalée. #Kling3 #KlingAI
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The Future of AI: Models as Commodities vs. Proprietary Data
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Eventually software will be commodity – models will have some value, but ultimately it’ll all be wrappers around unique / proprietary data
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AI Agent Swarms Used for OSINT Data Reconstruction
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God's eye view 24-hour replay of Operation Epic Fury.
— Bilawal Sidhu (@bilawalsidhu) 1 mars 2026
The Iran strikes kicked off and I set an AI agent swarm loose to record every OSINT signal I could find before the caches cleared. Built a full 4D reconstruction in WorldView.
I can scrub through minute by minute and watch… pic.twitter.com/W8NnqSPxVYGod's eye view 24-hour replay of Operation Epic Fury. The Iran strikes kicked off and I set an AI agent swarm loose to record every OSINT signal I could find before the caches cleared. Built a full 4D reconstruction in WorldView. I can scrub through minute by minute and watch
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Kling 3.0 tops text-to-video benchmarks
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Kling 3.0 by @Kling_ai took a top spots on Artificial Analysis arena in text-to-video benchmark with both Kling 3.0 1080p (Pro) and Kling 3.0 Omni 1080p (Pro) models.
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Top AI models stay close in a fast-moving packed peloton
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Funny how the top models from different labs stay within a tiny distance from each other. The peloton is moving extremely fast, but stays quite packed, no breakaway so far. And that is despite large differences, e.g. in available compute. What's the forcing function that makes
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Query about AI writing mastery versus daily volume
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Have you nailed the AI assisted writing or you just churn out 10 of these a day?