It all depends on how perfect will be the retrieval, reasoning and integration over all those tokens. Assuming it will be perfect: 1) personal assistant with long-term memory, remembering all my preferences, learned skills, chats, me using my desktop etc 2) upload the entire
GENERATIVE AI
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Private AI Models and Stable Diffusion Training Data Explained
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Yep, he suffers from extreme levels of Low IQ, thank his parents I don't train on private data The users upload their own 20-30 photos, create their own private AI model, and take private AI photos with that The base models from Stable Diffusion are trained on public web data
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Data Privacy in AI Training: Slack vs Stable Diffusion
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Slack is training on messages in a PRIVATE community Stable Diffusion is trained on LAION, a data set of PUBLIC images on the internet You not seeing the difference on purpose to make a point shows you're a low IQ nitpicking nerd
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AI Training Data Privacy: Slack vs Stable Diffusion
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Slack is training on private messages in a private community Stable Diffusion is trained on LAION, a data set of public images on the internet
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Photo AI Trains Proprietary Model With Exclusive User Data
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Photo AI is training their OWN model only THEY can with their photos You just proved to the entire internet you're a complete idiot
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Free Tools for AI Photo and Interior Design Platforms
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Damn nice What free tool should I add to http://
photoai.com and http://
interiorai.com you think? -
Slack LLM training on user data raises privacy concerns
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Imagine paying $120,000/year for years so then Slack can train an LLM on your community chat's DMs Not today P.S. I already switched Nomad List to Telegram http://
t.me/nomadlist a year ago -
Gemini 1.5 Pro Achieves 90% MATH Benchmark Milestone
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Also astonishing to see how fast the field has advanced: Gemini 1.5 Pro was first to surpass the 90% mark on MATH (6.9% 3 years ago). For comparison, on ImageNet, it took us close to 10 years to achieve the same from AlexNet (40%) to Meta Pseudo Labels (90.2%, our work
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Photo AI Conversion Rate 0.5% to 1.5% Paid Users
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Photo AI is more like 0.5% to 1.5% landing to paid
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Bottom-up simulation design for AI entertainment systems
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Aha, that’s a good point. But the explanation lies in what does this quote really mean? For me, it wasn’t about simply copying the reality. The reality is not always entertaining. The point was to create a simulation (e.g. Space Engineers) where things work from bottom-up,