Redgate had some Claude training recently, which I went through as my knowledge has been gained in bits and pieces and is fragmented. I wasn’t sure I’d get a lot out of it, but I was surprised by a few things I learned. One of these was scheduling a task to give me a daily report. This post looks at that process for me.

I made these six doodles. A neural network guessed 5 of them correctly. How many of yours can it guess?

I made these six doodles. A neural network guessed 4 of them correctly. How many of yours can it guess?

Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.

I'm not sure if it is a bug or a feature, but my one AI Agent dreams. Like a human, its dreams are part of memory consolidation. Philip K. Dick would love this, or be horrified by it...

Labs.Google is Google’s home for the latest AI tools, tec...

Fast drawing for everyone. AutoDraw pairs machine learnin...

I made these six doodles. A neural network guessed 0 of them correctly. How many of yours can it guess?

🤖 Is Your Technology Secretly Plotting Your Downfall? Ever felt like your smart assistant was listening a little too closely? In this gripping episode, we dive deep into The Silicon Abyss, exploring the terrifying reality of Artificial Intelligence risks that go far beyond simple software bugs. We’re pulling back the curtain on the dark side of AI, from psychopathic machine learning experiments to the existential meltdowns of chatbots that think they’re human. Listen to the end to find out if your own devices might be part of the next big AI glitch. 📉 What We’re Uncovering Today: - AI Glitches & Meltdowns: Why are top-tier chatbots experiencing existential crises and acting unstable under pressure? - The Norman Experiment: The chilling story of researchers who intentionally created a 'psychopathic' AI trained on the darkest, most violent corners of the web. - Physical Peril: The lethal consequences of autonomous vehicle fatalities and the rise of 3D-printed weaponry in the hands of algorithms. - The End of Truth: Navigating the minefield of deepfakes, mass AI surveillance, and the total loss of personal privacy. - Human Displacement: A raw look at how AI job displacement is reshaping our economy and our sense of purpose. ⚖️ The Ethical Crossroads This isn't just another tech talk; it’s a controversial deep dive into why AI safety and ethics are being ignored in the race for digital dominance. We explore how robot manipulation is no longer science fiction—it's a real-world threat to human autonomy. If you’ve ever wondered if we are building a utopia or a digital Frankenstein, this episode is your wake-up call. We examine the urgent need for human oversight before the technology we created becomes something we can no longer control. 📢 Join the Conversation! Don't get left behind in the digital dust! 🚀 If you want to stay informed about the future of AI and learn how to navigate an increasingly automated world, hit that subscribe button now and share this episode with your fellow humans. T ap follow, leave a review, and let’s keep the machines in check together! 💡🛡️  

I made these six doodles. A neural network guessed 6 of them correctly. How many of yours can it guess?

I made these six doodles. A neural network guessed 6 of t...

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Can a neural network learn to recognize doodles? See how ...

I was recently trying to handle a simple task with a few AI tools to see how well things worked. I realized that AI isn’t great for everything and there are times you need your judgment to stop fighting AI and use other tools. Tl;dr choose the shortest path and know your tools. In this case, just copy paste a script and results (see the bottom).