Already 20% of Americans have flirted with chatbots, according to this study [linked] Nearly half of them — 47.2% — did so out of curiosity while 23.9% said they were lonely and seeking interactions. It's only April 2024. The line on this graph only goes in one direction from
GENERATIVE AI
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Meta Tests Its AI Chatbot in India and Africa
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[#Article] After the United States, @Meta chooses to test its #chatbot in India and certain African countries https://actuia.com/actualite/apres-les-etats-unis-meta-fait-le-choix-de-tester-son-chatbot-en-inde-et-certains-pays-dafrique/ … #AI #artificialintelligence
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Generative AI Transforms Home Appliances Into Smarter Personalized Helpers
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#GenerativeAI is transforming home #appliances into #smarter, more personalized helpers. #GE's app offers AI-generated recipes, while #Samsung's tech learns from user habits. Companies like #Miele and #LG are using AI for diagnostics and user guidance.
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Generative AI Accelerates Metaverse Robotics and Synthetic Biology
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Discover how #GenerativeAI is set to accelerate #technologies from the #metaverse to #robotics and #synthetic #biology. Explore the #transformative potential of generative #AI in revolutionizing both industry and everyday life.
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Anthropic Claude 3 Models Remain Unchanged Since Release
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Three days ago Anthropic staff were saying that the Claude 3 models haven't changed a single byte since they were released
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Fine-tuning risks and diminishing returns in AI model optimization
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Fine tuning can help if you have a specific use-case for the model that you can optimize for, but even then it's a whole lot of expensive and risky work for something that may not help much and will likely be obsoleted by the next model release
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Claude Model Degradation Claims: Perception vs Reality
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I'm suspicious that many cases of models "degrading" are just people imagining things – see the recent Claude incident where people complained it had degraded when the model was entirely static since launch
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AI Model Performance Degradation and Context Understanding Issues
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It's making really dumb mistakes. Like, shockingly dumb. That wasn't happening before. Doesn't seem to use context as well as before.
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Sakaná Challenges LLM Scaling Laws with Swarm Intelligence
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サカナが崩すLLM｢規模の法則｣
群知能でOpenAIに挑む @nikkei