OpenAI has already spent more money than it’s ever going to make.
INNOVATION
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Deep Feature Optimization for Cancer Detection Using Self-Supervised Learning
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Deep Feature Optimization using Fusion of Multiple Self Supervised Learning for Cancer Approach! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #HealthTech #Java #JavaScript #ReactJS #GoLang #CloudComputing
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Spiking Neural Logic Circuits for Sequential Biocomputation
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Planar Neuronal Logic Circuit Designs Using Spiking Model! A Framework for Sequential Biocomputation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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AI Books 2026: Data Science and Machine Learning Reading Guide
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AI Books I’m Reading in 2026! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/AI-Books-2026 -
Building Superintelligence Requires Planetary-Scale Resources
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It takes a planet to create a superintelligence.
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GITAI’s Centaur Robot Designed for Moon’s Harsh Terrain
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GITAI’s Centaur-Like #Robot Is Built to Work on the Moon’s Harsh Terrain
— Ronald van Loon (@Ronald_vanLoon) 28 avril 2026
by @CyberRobooo#Robotics #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/1pzYzZDBkzGITAI’s Centaur-Like #Robot Is Built to Work on the Moon’s Harsh Terrain
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #ML -

Poolside Releases Laguna XS.2 Open-Weight MoE Model
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Today we’re releasing Laguna XS.2, Poolside’s first open-weight model.
It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks.
Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0.
Links Weights: -
Ling-2.6-flash Open-Sourced: Fast Token-Efficient Model
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Ling-2.6-flash is now officially open-sourced!
A fast, token-efficient Instruct model built for real-world agent workflows.
104B total parameters · 7.4B active parameters
Available in BF16, FP8, and INT4 variants for different deployment needs.
Key strengths:
– Fast generation: -
OpenAI The Company That Died For AI Revolution
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OpenAI, the company that died for the AI revolution.
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Three Opensource AI Models Announced Today
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Three opensource models were announced while I am on the same flight and you're still not bullish on opensource AI, anon?