The new era of AI is amazing, and incredibly weird. https://t.co/GsFYXDbNiA
— Will Knight (@willknight) 28 mars 2023
The new era of AI is amazing, and incredibly weird.
@willknight
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The New Era of AI: Amazing and Incredibly Weird
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Can Language Models Alone Achieve AGI? OpenAI Invests in Robotics
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Are text-munching models like GPT-4 enough to bring about human-level intelligence in machines, or does AI need to learn by following human actions in the world? @OpenAI just led funding in a company working on humanoid, tele-operated robots.
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Building Machines That Learn and Think Like People
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If you're interested in this, I highly recommend reading/comparing this (2016) paper Building Machines That Learn and Think Like People https://
arxiv.org/abs/1604.00289
https://arxiv.org/abs/1604.00289
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GPT-4 Demonstrates Advanced Reasoning and Common Sense Capabilities
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I was reacting to the title but the paper itself is interesting. It looks at stuff that GPT-4 can do that seems to have been missing from AI systems (more common sense reasoning, grasping the elements that make an animal recognizable, and so on). It's well worth a look.
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GPT-4 Sparks of Artificial General Intelligence Early Experiments
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WTF MS…? Sparks of Artificial General Intelligence: Early experiments with GPT-4 https://
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Bard’s Training Data Transparency Issues and Speculation
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Bard still seems confused about whether it was or wasn't trained using private data from Gmail (Google says it it wasn't). In reality it probably has zero idea what it was trained since that information was not in the training data, so it's just making guesses.
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Bard Training Data: Google Clarifies Non-Use of Gmail
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I was told "We do not use any Gmail data in Bard […] Bard is currently based on a lightweight and optimized version of LaMDA, which was trained on a variety of data from publicly available sources, similar to most language models available today."
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Voice Assistants Balancing Humanlike Personas and Machine Identity
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oh right, interesting point. i guess voice assistants have also tried to thread the line between humanlike personas and machine ones.
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Can RLHF Extract More Capabilities From AI Models?
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interesting…. could the RLHF tease more of that out of them??
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Understanding AI Model Anthropomorphization and Training Data
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it seems like one of the inherently confusing things about these models. I know that they've learned to talk about their feelings and desires because that's in the training data, but I think it contributes to the misunderstanding.