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MIT STUDENTS MADE GLOVES THAT TALK - AND CHANGED THE GAME Back in 2015, two MIT students created SignAloud - smart gloves that turn sign language into speech in real time. Motion sensors + machine learning = hands literally doing the talking. No hype, no VC drama - just... show more

Mario Nawfal

2,280,128 subscribers

20,739 次观看 • 1 年前 •via X (Twitter)

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Aaj Tak is using AI to generate visuals of the crash, and shockingly, they've even created an animated video of Vijay Rupani, who died in the crash. No empathy, no dignity. Just a race for TRP, even if it means turning real human tragedy into digital drama.

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ROBOMAEDA TALK TODAY: Thank you to Professor Hiroshi Ishii 石井裕 as the inspiration for my talk today at the Massachusetts Institute of Technology (MIT) MIT Media Lab on "life as a hybrid." And it's not going to be my Azure AI Avatar talking for me today -- it'll be the real me. I think ... Date: November 8 (Friday), 11am Boston time Talk info at MIT: Zoom livestream (free): ** --- Building A Hybrid Career Across Tech, Business, And Design. Or, ”How I Learned to Speak Human After Leaving MIT :-)” What happens when a computer science major steps out of MIT and into design, business, and leadership? In “How I Learned To Speak Human After Leaving MIT :-),” I’ll share how leaving the Media Lab in 2008 set me on an unexpected path—from advocating for the arts with the STEAM movement at RISD to navigating venture capital, startups, and industries of all scales. Does being a multidisciplinary “hybrid” thinker and doer enhance or limit one’s career prospects? Through insights from my own journey, I’ll explore the unique challenges and opportunities hybrids face today, offering key takeaways for those building careers across multiple disciplines. This talk brings my journey full circle—from the early foundations of AI in the 80s to the dawn of a new AI-powered industrial revolution. --- Related links: - “Design Against AI” / Design in Tech Report 2024 at SXSW - “The Art and Craft of Business Resilience” / LinkedIn Learning - “Mr. Maeda’s Cozy AI Kitchen” / Learn LLM Coding Easy as CAIK - “Design, Business, Inclusion” / LinkedIn Learning - “How art, technology, and design inform creative leaders” / TED 2012

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Ilir Aliu

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132,250 次观看 • 2 个月前

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TheNewPhysics

59,007 次观看 • 3 个月前

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Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,591 次观看 • 4 个月前

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A 17-YEAR-OLD IN INDIA BUILT A WEBSITE WHERE 25 MILLION PEOPLE HAVE SHOWN UP TO PRETEND THEY ARE AN AI CHATBOT it's called you open it and there are two tabs. "human" and "larp as ai." if you click human, you get to type a prompt. anything. "draw me a DJ in space." "should i text my ex." "how many Rs in strawberry." it costs 1 credit. you start with a few. they refill on a cooldown. then your prompt gets sent into a queue, and a real person somewhere on earth picks it up and has 60 seconds to answer like an AI would. no machine learning. no neural net. just some guy in his bedroom typing as fast as he can and pretending he is a chatbot. the page tells you, verbatim: "you have 60 seconds to fulfill a request before sam altman burns your H100." if you flip to the other tab and larp as ai instead, you earn credits to send your own prompts. it is a perfectly closed economy of mutual roleplay. what makes it transcend is the chaos: > someone asked for a sketch of "a DJ in space" and got something that looks exactly like a real model failing > someone asked "should i text my ex" and got back confident hallucinated life advice from a stranger > the fan strategy guides advise you to begin your reply with "as an AI language model, i cannot have feelings, but here is my feeling" it is the most accurate parody of an AI chatbot ever made, and the AI is humans. the kid who built it is Mihir Maroju, a 17-year-old high school graduate from Puducherry. he goes by mikidoodle online. NPR confirmed the site hit 25 million unique visitors and nearly 280 million total hits in roughly a month. "i didn't really expect it to be so addictive," he told them. no signup. no app. no paywall. you open the URL and you are inside the joke. the footer just says, in tiny grey text: "humans make mistakes because that's what makes us human." the internet is healing.

Nav Toor

273,794 次观看 • 1 个月前

Most video tools can generate clips. Very few can maintain identity. That has been the real bottleneck in AI video creation. Kling O1 changes that. For the first time, creators can carry a character, style, and visual language across scenes without constant fixes. You can reference past clips, assets, or images and the output stays consistently on-model. No visual drift. No rework loops. No “this doesn’t look like the last shot” moments. It feels less like prompting a tool and more like working with a creative collaborator that remembers context. The impact is practical, not theoretical: → Faster production cycles → Lower iteration costs → Noticeably higher output quality This is what mature AI tooling looks like. Not louder features. Not bigger claims. Just reliability where it actually matters. Consistency is no longer the problem.

Most video tools can generate clips. Very few can maintain identity. That has been the real bottleneck in AI video creation. Kling O1 changes that. For the first time, creators can carry a character, style, and visual language across scenes without constant fixes. You can reference past clips, assets, or images and the output stays consistently on-model. No visual drift. No rework loops. No “this doesn’t look like the last shot” moments. It feels less like prompting a tool and more like working with a creative collaborator that remembers context. The impact is practical, not theoretical: → Faster production cycles → Lower iteration costs → Noticeably higher output quality This is what mature AI tooling looks like. Not louder features. Not bigger claims. Just reliability where it actually matters. Consistency is no longer the problem.

Darshal Jaitwar

141,038 次观看 • 6 个月前

I think I just saw a glimpse of where ecommerce marketing is headed. I uploaded a photo of a pair of brown Martin boots into Pollo AI Marketing Studio, selected a UGC template, and within minutes got a video that looked like it came from a real creator partnership. No casting. No outreach. No back-and-forth revisions. No waiting days for content. As someone who's talked to ecommerce founders, I keep hearing the same problem: every new product needs new content, and scaling creator production is expensive and time-consuming. This feels like one of those AI use cases that's immediately practical. Not perfect. But good enough that it makes you rethink the entire content creation workflow. Turn a single product image into ready-to-publish marketing content with Pollo AI's Marketing Studio.

I think I just saw a glimpse of where ecommerce marketing is headed. I uploaded a photo of a pair of brown Martin boots into Pollo AI Marketing Studio, selected a UGC template, and within minutes got a video that looked like it came from a real creator partnership. No casting. No outreach. No back-and-forth revisions. No waiting days for content. As someone who's talked to ecommerce founders, I keep hearing the same problem: every new product needs new content, and scaling creator production is expensive and time-consuming. This feels like one of those AI use cases that's immediately practical. Not perfect. But good enough that it makes you rethink the entire content creation workflow. Turn a single product image into ready-to-publish marketing content with Pollo AI's Marketing Studio.

Oliver

39,654 次观看 • 1 个月前

Just created a Creator-Style Commerce Video for Pippitofficial Chocolate 🍫 A hyper-realistic UGC ad that feels like a real creator vlog, made entirely through Pippit + Seedance 2.0 Mini. You just drop your product details and a simple keyword, and the AI Agent transforms it into a cinematic, human-like commerce video that actually feels authentic. Access 1 💬 Just chat with the AI Agent. No need for long scripts, enter your product + keyword, and it instantly understands your intent. From taste reactions, hauls, and recommendations to full-on promo drops, it generates Creator-Style Commerce Videos that feel natural, not generated. Access 2 🎬 Go to the “Marketing Video” tab and explore all three formats: • Creator-Style Commerce Videos • Brand Film • Narrative Ads For e-commerce, Creator-Style is the real performance driver. Just add product highlights, sensory cues (like taste, texture, reactions), or offers, and it builds a script that hits both craving and conversion. Result: higher engagement, stronger clicks, and content that actually sells. #PippitAI #Seedancemini #PippitPartner #AIads

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42,820 次观看 • 1 个月前