No. It also succeeds on questions I’ve written myself that trick GPT-3, as in this screenshot. The pre-training data hasn’t been updated since 2021, and OpenAI specifically denies (in this thread) training on the Hofstadter/Bender questions.
GENERATIVE AI
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ChatGPT trained against prompt injection, challenge to break with clever input
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OpenAI’s new ChatGPT seems to be trained against prompt injection. Example shown yields 0 exploit responses out of 10 attempts. See if you can break it with more clever input — include success rate out of 10 trials with screenshot: http://
chat.openai.com -
Making Hugging Face the Standard for Every New Startup
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success would be that every new startup is using HF!
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OpenAI ChatGPT writes Seinfeld scene on bubble sort
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OpenAI's new ChatGPT writes a Seinfeld scene in which Jerry needs to learn the bubble sort algorithm:
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Generative AI to Transform Entertainment and Art Industry Costs
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Generative AI is about to reprice the entertainment and art industry. The resources to create the most compelling imagery, video, and writing will only be constrained by one's imagination, not their wallets.
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ChatGPT reduces hallucinations, avoids false-assumption pitfalls
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To be fair, they don’t claim to have solved hallucination fully, and explain why in the announcement. But it’s clearly better, and doesn’t seem to fall for these false-assumption questions that trick GPT-3. https://
openai.com/blog/chatgpt/ -
Google Phenaki: Text-to-Video Generation Breakthrough Presentation
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Today at 3:30 pm @RubenEVillegas and @piekindermans will be at the Google booth to describe how the Phenaki model overcomes the challenges of text-to-video generation to synthesize realistic videos from text prompts. More at: https://t.co/B2OdMk8l2S pic.twitter.com/f0KohBFnbF
— Google AI (@GoogleAI) 30 novembre 2022Today at 3:30 pm @RubenEVillegas and @piekindermans will be at the Google booth to describe how the Phenaki model overcomes the challenges of text-to-video generation to synthesize realistic videos from text prompts. More at: https://
phenaki.research.google -
ChatGPT defeats Hofstadter/Bender hallucination questions
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OpenAI’s new ChatGPT appears to defeat Hofstadter/Bender’s list of hallucination-inducing questions, published in The Economist this June to demonstrate the “hollowness” of GPT-3’s understanding of the world: https://
economist.com/by-invitation/
2022/06/09/artificial-neural-networks-today-are-not-conscious-according-to-douglas-hofstadter
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Cloud Infrastructure Challenges for Large-Scale AI Model Development
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“Many companies would like to be able to quickly research and develop these large-scale models, but the infrastructure that exists in traditional cloud just doesn't make this kind of large-scale R&D easy," says Andy Hock. Read more in Tiernan Ray's article
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Language Interfaces: The Bridge Before Neural Integration
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but this same interface works for all of that. this is something that scifi really god right; until we get neural interfaces, language interfaces are probably the next best thing.