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If you squint you can just about make out the hat. | Screenshot: Terrence O’Brien / The Verge Your AI Slop Bores Me is brilliant in its simplicity. There are two tabs: human and LARP as an AI. On one side you enter a request. On the other, you submit an answer. But the important thing is that there's a human on both sides of the equation. Prompts can request a response as text or image, and then whoever is roleplaying as the AI gets 150 seconds to respond. Just like a real LLM, Your AI Slop Bores Me works on a sort of token system. Requests cost credits, and to earn credits you have to jump onto the AI side and answer some of your own. You can also just wait as you get one free request every two minutes. But, as fun as it is to drop … Read the full story at The Verge.
In the AI community, it is tempting to spend 80% of our time tweaking hyperparameters, stacking complex neural network layers, or chasing Continue reading on Medium »
We are entering an era of unprecedented dependence on space infrastructure. Satellite constellations provide global internet, navigation Continue reading on Medium »
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There is a step in the development process for large language model (LLM)-assisted tooling that most teams skip because it s tedious, time-consuming, and doesn t produce results visible to end users: Verifying that what the model is saying is actually correct. Not fluent, not coherent, not topically relevant — correct in the sense of accurately identifying the right answer to the specific problem the tool was built to solve.The gap between this output sounds right to me and this output is verifiably correct is where most LLM-assisted enterprise tools fail quietly. They pass internal review because the output sounds right. They fail in production because those people weren t reviewing against ground truth — they were reviewing against their intuition about what a good answer looks like.This distinction matters more as LLM-assisted tools move from productivity accessories to components that influence real business decisions. If your AI-assisted tool is shaping how an analyst investigates
How will the watermarking actually work? Can it be hidden with editing? And how does this affect code?
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Three failure modes from ten graded page rewrites, and where the human checks actually belong.Continue reading on Medium »
If you ve sat in a strategy meeting recently, you ve probably heard the term agentic AI thrown around usually followed by a mix of Continue reading on Medium »
They’re far more powerful and fun than their bargain price suggests. | Photo: Terrence O’Brien / The Verge When I'm asked what to buy if you want to get into making electronic music, I often recommend Elektron's budget-minded Model:Samples and Model:Cycles grooveboxes. They don't grab headlines the way Teenage Engineering's gear or the Telepathic Instruments Orchid do, and even compared to the company's higher-end and more niche musical offerings like the Digitakt, Octatrack, or Tonverk, they're often overlooked. But as my collection has grown to include fancier and far more expensive instruments, I still find myself coming back to the Model series. Those looking to get their first groovebox are often drawn to more familiar brand names like Korg … Read the full story at The Verge.
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AI coding startup Cursor is now officially a part of SpaceX.