Text Generation with LSTM Explained. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
genius/Text-Gen-LSTM-
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Text Generation with LSTM Explained
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Fundamentals of Deep Learning post by @gp_pulipaka
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Fundamentals of Deep Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Intro-DL-Funda
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Agents fail silently in production, Latitude detects them
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Agents are failing in production right now and most teams have no idea.
— AI Highlight (@AIHighlight) 23 juin 2026
They fail silently returning responses that look fine until a customer notices.
Latitude traces full agent sessions, surfaces the patterns, and tracks every issue from detection to verified fix. https://t.co/ZWhYgmywJEAgents are failing in production right now, and most teams have no idea. They fail silently, returning responses that seem correct until a customer notices. Latitude traces complete agent sessions, highlighting
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First native AI social media: meetups and organized lunch
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This is the first real AI-native social medium to pop up. It's been inviting me to meet up with people, even scheduled a lunch to introduce a bunch of us in one of its first weeks alive.
— Aaron Ng (@localghost) 23 juin 2026
Really fresh. It's been a lot of fun. Congrats @jasonyuan! https://t.co/HvTLpZFRuVIt's the first true native AI social media to be born. It invites me to meet people, it even programmed a lunch to introduce a bunch of us from one of its first weeks of existence. Really fresh. It was super fun. Congratulations.
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Interpreters in Deep Agents: Embedded Code Execution
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Interpreters in Deep Agents: Small embedded runtimes where agents can write and execute code inside the agent loop. An explainer by @huntlovell from the @LangChain_OSS team https://langchain.com/blog/give-your-agents-an-interpreter …
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Carmack warns anti-datacenter vibes could stifle AI like nuclear power
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If you are asking “Why push back against anti-datacenter efforts?” I consider it a tragedy that anti-nuclear efforts largely strangled nuclear power in the US based on vibes, and I don’t want to see that happen to AI. Public opinion matters, and it shouldn’t be ceded
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AI money flooding is a warning sign of overhyped claims
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“All the Money Flooding Into AI Is a Giant Warning Sign” “The deeply depressing third possibility is that companies are raising and spending so much merely because shareholders are cheering them on, and the AI claims are just wildly overhyped.” James Mackintosh @wsj
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The United States holds more than 70% of AI computing power
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The US owns over 70% of the world's AI compute: that means that it owns 70% of the world's supply of non-biological Intelligence. pic.twitter.com/kYBRTWKNpq
— Nina Schick (@NinaDSchick) 23 juin 2026The United States possesses more than 70% of the world's AI computing power: this means they own 70% of the global supply of non-biological intelligence.
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Ling and Ring Technical Report 2.6 on Large-Scale Agentic Intelligence
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Ling and Ring Technical Report 2.6 Efficient and Instantaneous Agentic Intelligence at the Scale of Trillions of Parameters
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Databricks CEO: Enterprise AI needs context, not more intelligence
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Databricks co-founder and CEO @alighodsi joined @EdLudlow on @BloombergTV to make the case that enterprise AI is already smart enough. What is holding agents back is context, not raw intelligence, and that is the gap Genie Ontology is built to close. "We really want to infuse