Mapping building use with a hexagonal grid – Dr Dominic Royé https://
bit.ly/46M53wf
#AI #MachineLearning #DeepLearning #LLMs #DataScience
RESEARCH
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Mapping Building Use with Hexagonal Grid Machine Learning
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Shivon Zilis Testifies on Day 7 of Musk vs. OpenAI Trial
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You need Claude connected to your email, gsheet, gdoc . Is security saying no? We can help with that
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5 Key Questions for In-Depth Analysis
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1/ THE "5 ESSENTIAL QUESTIONS" PROMPT On Reddit, it was called a 'game changer.' It forces NotebookLM to extract a pedagogically sound structure instead of superficial summaries: "Analyze all inputs and generate 5 essential questions that, when answered,
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Genuine ideas have never been more valuable to spread
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A more accurate extension: it’s never been more valuable to generate a genuinely new idea and mimetically spread it.
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Understanding AI Fundamentals Still Required in 2026
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But I do generally agree with the sentiment that in 2026 you still need to understand the fundamentals if you are making something for an end user. I do not think it will be the same in 2027 or 2028 though.
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New Paper Evaluates AI Coding Agents on Long-Horizon Codebase Maintenance
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Even the SoTA models still struggle with long-horizon code maintenance! “SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration” Right now, most coding-agent evals are static, where you solve a single issue, and pass one-off tests. This paper
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Beyond Benchmarks: Rethinking AI Evaluation Methods
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Benchmarks? Where we’re going, we don’t need benchmarks.
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Gary Marcus Discusses Commercialization of AI and Lack of Heroes
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link: https://
open.substack.com/pub/garymarcus
/p/there-are-no-heroes-in-commercial?utm_source=app-post-stats-page&r=8tdk6&utm_medium=ios
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Searle’s Chinese Room: GPU Replacement and Output Analysis
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The guy who seems to be carrying out the operations is just a giant decoy, frankly. His purpose is to confuse people trying to follow Searle's thought experiment. If we replace the original person in Searle's Chinese Room with a faster GPU, the outputs of that GPU stay just the
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Brain Scanning and the Homunculus Problem in Consciousness
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Or turn it all around, to see from an opposite angle: Imagine that we flash-froze your brain; scanned every neuron down to the DNA methylation patterns in the cell; and trained an immortal dog to be the little man inside your own brain. Rules simple enough for the dog to follow