Befuddling AI Go Systems: MIT, UC Berkeley & FAR AI’s Adversarial Policy Achieves a >99% Win Rate Against KataGo https://
syncedreview.com/2022/11/02/bef
uddling-ai-go-systems-mit-uc-berkeley-far-ais-adversarial-policy-achieves-a-99-win-rate-against-katago/
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AI
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Adversarial Policy Defeats KataGo Go AI System 99%
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Budget Computer: A $300 Computing Alternative
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He doesn’t own a Mac or PC. This is his (300 bucks) computer.
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Apple’s Fast Feature Copying Limits Third-Party iOS Development
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They copied that so fast, no chance to build anything like that on iOS as 3rd-party. Randomly sized overlays…
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Using StableBoost to refine image generation through visual selection
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e.g. I used stableboost for this earlier tweet 🙂 – the prompt by itself gives bad, too diverse, not amazing results, but once I generated ~1000 I could visually narrow in on the composition I liked. Not sure how I'd get that by tuning the prompt alone
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Iterative approach to building and refining positive datasets
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from my own experience you want something interactive and change your mind around quite a bit. so you're building the positive set, seeing the results, then tweaking your positive set over time. it's an incremental iterative thing.
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Visual Iteration Over Text Prompts for AI Image Generation
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Sometimes it's difficult to put the look&feel of what you're after into text. You end up re-rolling results over and over again, looking for the needle in a haystack. stableboost flips it around – you create a large haystack of variations, then narrow in on the needle visually.
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Raw Scalable Intelligence: The Next AI Frontier
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Pretty pictures are cool. But raw, scalable intelligence is on its way.
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Android tablet multitasking capabilities versus iPad limitations
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My friend causally showing me his Android tablet with his calisthenics notes; running a timer and the camera app on top. That’s working multitasking. Can’t do that on iPad.
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Secret AI: Why Humans Distrust Algorithmic Feedback Systems
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I expect that we are going to see an explosion of “secret AI,” where AI advice is delivered by humans. Why? We hate to listen to AI. For example, getting feedback from an AI system improved employee performance… until people learned it was from an AI, then performance DROPPED.
