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Personalized AI bots will blow the everyday tech user away in the next year. Good news for $SPCX, $AAPL, $META, Cognition. Today, my guess is less than 1% of the US population understands how powerful these new personalized AI bots are. That's going to quickly change. Here at Deepwater, we're testing Siri, Grok Bot, Muse, Poke, and Gemini Spark. In the past month, we have noticed the usefulness of these bots has gone off the charts. Specifically, a number of everyday inefficiencies, like getting caught up on the news, sifting through spam, and prepping for the day, are now reliably automated. And we're just at the start.
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Personalized software for individuals is so easy to create now with AI, and we can see plenty of fun examples here on X But will folks really use their own creations? It seems unlikely. Making a personal game, for example, is fun for like 2 mins and then gets boring. Most of the fun of gaming is unpredictably experiencing someone else’s carefully thought-out creation and mastering it. I don’t think most personal apps will be useful at all except for the joy of creating them. But ironically the easier they are to create, the more fleeting the joy. A lot of the fun of creating software is also sharing it with friends and seeing their reactions. But folks don’t want to spend much time with someone else’s half assed vibe coded product. So it ends up that most people find joy mainly in bragging about their creations…. which no one uses, including themselves. Humans are hard to please! Even with our own self-made creations
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Personalized cancer vaccine from Moderna, Merck shows promise in first late-stage melanoma trial
Personalize your Tesla visualization with window tints, custom wraps, and license plates Toybox > Paint Shop > Wraps
Our Personalized Tesla License Plate Generator Now Supports European Countries
From personalized food recommendations to real-time translations to smarter on-device capabilities, these AI experiences all share one growing challenge: getting the right data to the right place, at the right time. Which memory architecture do you think is best suited for sustained edge #AI# inference as workloads become more demanding? A. Discrete memory architecture B. Shared memory systems C. UMA with GPU implemented D. NUMA architecture Drop your answer in the comments below. #EdgeComputing# #IntelligenceAccelerated#
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Why personalized jewelry is finding a place on social media
A personalized model of Ferrari’s first fully electric vehicle has sold for $40 million in a charity sale, defying market skepticism and setting a record for a new car sold at auction. The Sotheby’s auction of the Luce “tailor made” at Monterey Car Week in California said the lot marked an “unrepeatable opportunity” to acquire the first production chassis of the Luce program, which featured a unique semi-gloss finish and other bespoke parts. Read more:
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Walmart says AI can personalize how people shop without personalizing what they pay. Read more: