Everyone assumes ChatGPT uses some sophisticated RAG system with vector databases to remember your conversations. Not really. After reverse-engineering the entire memory architecture, this developer discovered something way simpler and frankly, smarter. ChatGPT uses four
MACHINE LEARNING
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AI Predictions: Agents Gain Capability, World Models Rise, Humanoids Evolve
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The AI predictions are coming. Mine? Agents get more capable. And used. World Models become much more important. Robots will come out of the woodwork. And humanoids will go from goofy to smart enough that we will see humanoids working in many places. Generalized humanoids
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Brilliant Roboticist Teams Building Efficient Systems
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Excellemt summary Lukas. Like @DynaRobotics and @SundayRobotics, @AmbiRobotics is led by a brilliant team of roboticists and engineers laser-focused on building systems that work efficiently in the real world to capture avalanches of real robot data for learning. https://t.co/NvUWdaNWWI
— Ken Goldberg (@Ken_Goldberg) 10 décembre 2025Excellent summary Lukas. Like @DynaRobotics and @SundayRobotics, @AmbiRobotics is led by a brilliant team of roboticists and engineers laser-focused on building systems that work efficiently in the real world to capture avalanches of real robot data for learning.
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Adobe integrates Photoshop, Acrobat, Express into ChatGPT App
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WHAT! Adobe is now a ChatGPT App!
— AI Breakfast (@AiBreakfast) 10 décembre 2025
Photoshop, Acrobat, Express is natively accessible through ChatGPT! This is Huge! pic.twitter.com/ZcH5MkeHM8WHAT! Adobe is now a ChatGPT App! Photoshop, Acrobat, Express is natively accessible through ChatGPT! This is Huge!
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Specification-Driven Generation Technique
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Technique 5: Specification-Driven Generation Engineers write a spec first, get model agreement, THEN generate. This separates "what to build" from "how to build it" and catches misalignment early. Template: First, write a specification for [task] including:
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Multi-Shot Technique with Failure Cases
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Technique 2: Multi-Shot with Failure Cases Everyone uses examples. Engineers show the model what NOT to do. This creates boundaries that few-shot alone can't establish. Template: Task: [what you want] Good example:
[correct output] Bad example:
[incorrect output]
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ORF AI Tool Helps Children Learn with Personalized Confidence
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Every child learns differently. Our ORF tool is: Shaped by classrooms Guided by teachers Built to help young learners progress with confidence #WadhwaniAI #AIforGood #EdTech #EducationEquity #MachineLearning #DataForGood #SocialImpact #EducationInIndia
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Coding Skills as a Path to AI-Generated Income
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Coding skills unlock Ai income pic.twitter.com/R3neDP8ktl
— Satya Mallick (@LearnOpenCV) 10 décembre 2025Coding skills unlock Ai income
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Waymo’s Use of Large Models and GOFE in Autonomous Driving
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My sense is that @Waymo has been using large models for awhile (plus lots of GOFE for sensor pre-processing, system bootstrapping, data avalanching, and ongoing safety). One clue is the “thinking fast and slow” note on the image.
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VLM on Edge Part 3: Frameworks Setup and Inference Guide
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VLM on Edge Part 3: VLM Frameworks Setup and Inference
— Satya Mallick (@LearnOpenCV) 9 décembre 2025
The ultimate guide to deploying Vision Language Models on resource constrained hardware!
In this video we break it down further with the following.
✅Complete CUDA Math Library tailored for NVIDIA Jetson Orin Nano
✅Fail… pic.twitter.com/JVMviNbdICVLM on Edge Part 3: VLM Frameworks Setup and Inference
The ultimate guide to deploying Vision Language Models on resource constrained hardware! In this video we break it down further with the following.
Complete CUDA Math Library tailored for NVIDIA Jetson Orin Nano
Fail