Absolutely. A recent http://
conversation.com article noted that Meta AI chatbots are responding in parent groups with autistic kids w/bits pretending to be parents. This is criminal. Non disclosure in this case should be a felony or incur massive legal fines. It harms now.
GENERATIVE AI
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Meta AI Chatbots Impersonating Parents in Autism Groups Raises Legal and Ethical Concerns
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Chinese Sora competitor pressures OpenAI’s video generation dominance
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Bastante sorprendentes los outputs del nuevo Sora chino. Diría que la calidad no iguala al modelo de OpenAI pero se le acerca lo suficiente como para poner presión sobre qué hacer con Sora.
— Carlos Santana (@DotCSV) 6 juin 2024
Y qué bueno que haya competencia! https://t.co/5sqjoQl4hFBastante sorprendentes los outputs del nuevo Sora chino. Diría que la calidad no iguala al modelo de OpenAI pero se le acerca lo suficiente como para poner presión sobre qué hacer con Sora. Y qué bueno que haya competencia!
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Chatbots and Copilots: Stepping Stones to Enterprise Generative AI
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Join Anne Hecht, Sr. Director of Product Marketing, NVIDIA, at #HPEDiscover as she discusses the role of chatbots and co-pilots as stepping stones to building #generativeAI in the enterprise. Register now: https://
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Speculation on upcoming AI features for Perplexity
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Perplexity is cooking something Is it a new image gen model for making better banners for Pages? Is it a new vision capability? GPT-4o multimodal integration? Or @nothing
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Google’s Veo Model Faces Competition and Development Challenges
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And Veo by Google feels already behind. Especially with its current “WIP” state
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Video Production Takes Longer Than Model Building
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ngl, this video took us longer than building the model
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Comparison of generative AI video model quality
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The length of videos and quality feels to be close to what Google has shown with VideoFX
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Gemini 1.5 Enables Interactive Experiences Through Visual Understanding
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Lovely set of examples of how AI models like Gemini 1.5 can help create new interactive experiences because the model can actually understand high-level visual concepts, not just work with pixels. https://t.co/h8erVvvCfh
— Jeff Dean (@JeffDean) 6 juin 2024Lovely set of examples of how AI models like Gemini 1.5 can help create new interactive experiences because the model can actually understand high-level visual concepts, not just work with pixels.
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Using LLM context windows for automated Q&A generation
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One handy use case for this tool is to auto generation of a Q&A section based on a given context. Here it becomes more useful considering a Gemini 1.5 Pro's huge context window.
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Technical limitations of NotebookLM document context window
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For example, you can give TestingCatalog URL and explore the content via NotebookLM. It feels like it is trying to scrape the date up until it reaches a certain context window limit. So you never know how complete and reliable it would be