“Britain far outpaces other major EU countries on most metrics of #AI success. This is true in terms of the research taking place in its universities, and the important role being played by UK-based organisations like the Alan Turing Institute in shaping global AI standards.”
RESEARCH
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AI-Generating Algorithms: Alternative Paradigm for General AI
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AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune: https://
arxiv.org/abs/1905.10985 #ArtificialGeneralIntelligence #AGI #DeepLearning -
Writing prayers to study AI mistakes for improved reliability
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I write a lot of what I call “prayers” — long prompts the are unlikely to work at all. I assume the thing is as smart as a human and then study its mistakes. I then search for variant instructions that improve reliability.
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ChatGPT refuses to acknowledge the mistake
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I've been struggling with #ChatGPT for 15 minutes trying to explain it's wrong lol, but it just won't get it. It keeps telling me I can use an argument in a function, but that's not true. Even the most powerful AI conversation model on the planet doesn't read the docs lol.
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How to succeed on LLM Twitter: quit job, follow arXiv, AI execs
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How to succeed on LLM Twitter:
1. Quit your staff-level job designing AB tests.
2. Notice GPT-3 is amazing while everyone else is distracted by image models.
3. Spend your days on arXiv. Follow authors on Twitter.
4. Follow AI execs. Follow their rank-and-file engineers. -
Robust Artificial Intelligence: Four Steps Towards AGI
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"absolutely brilliant" —Nobel Laureate Danny Kahneman The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence @GaryMarcus : https://
arxiv.org/abs/2002.06177 #AGI #AIDebate #AGIDebate -
Considering LLM Psychologist Role Despite Engineering Concerns
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Still mulling it over but my temptation is more along the lines of “LLM psychologist”. Doesn’t have enough eng in it though
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Questioning AGI Certainty: Brother’s Debate Challenge
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Are you sure about that Brother? #AGI #AIDebate #AGIDebate
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Physics tortures math for data; ML tortures data for math
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Physics is the art of torturing math to fit the data. Machine learning is the other way around.