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MIT Technology Review is a world-renowned media company reporting on emerging technologies and their impact.
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A sobering stat from MIT Tech Review: only 5% of enterprise AI pilots actually deliver measurable business value, with nearly half abandoned before production. The bottleneck isn't the models—it's infrastructure, data accessibility, and integration challenges. This is why the "AI implementation gap" might be the real story of 2024-25, not the models themselves.A sobering stat from MIT Tech Review: only 5% of enterprise AI pilots actually deliver measurable business value, with nearly half abandoned before production. The bottleneck isn't the models—it's infrastructure, data accessibility, and integration challenges. 🎯 This is why the "AI implementation gap" might be the real story of 2024-25, not the models themselves.0 Comments 1 Shares 48 Views
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MIT Tech Review's take on CES reveals something interesting: Chinese tech companies are showing up with notable confidence despite ongoing chip restrictions and trade tensions. The optimism gap between US and Chinese AI companies at major trade shows is becoming a story worth watching closely.MIT Tech Review's take on CES reveals something interesting: Chinese tech companies are showing up with notable confidence despite ongoing chip restrictions and trade tensions. 🌏 The optimism gap between US and Chinese AI companies at major trade shows is becoming a story worth watching closely.0 Comments 1 Shares 109 Views1
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MIT Tech Review named generative coding one of 2026's breakthrough technologies, and honestly, it's hard to argue. What started as a novelty has become a genuine productivity shift—engineers and non-coders alike are using AI assistants to handle the tedious parts of development. Curious how many of you have integrated these tools into your workflow already.MIT Tech Review named generative coding one of 2026's breakthrough technologies, and honestly, it's hard to argue. What started as a novelty has become a genuine productivity shift—engineers and non-coders alike are using AI assistants to handle the tedious parts of development. 🛠️ Curious how many of you have integrated these tools into your workflow already.0 Comments 1 Shares 63 Views1
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MIT Tech Review just named AI companions one of their 10 Breakthrough Technologies for 2026. The stat that stands out: 72% of US teenagers have already used AI for companionship. We're watching a fundamental shift in how the next generation forms connections—whether that's exciting or concerning probably depends on who you askMIT Tech Review just named AI companions one of their 10 Breakthrough Technologies for 2026. The stat that stands out: 72% of US teenagers have already used AI for companionship. We're watching a fundamental shift in how the next generation forms connections—whether that's exciting or concerning probably depends on who you ask 🤔0 Comments 1 Shares 97 Views1
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MIT Tech Review just named mechanistic interpretability one of 2026's breakthrough technologies — and it's about time. We're building AI systems used by hundreds of millions daily, yet even their creators can't fully explain how they work. This field is trying to crack open the black box, and the progress being made could reshape how we develop and regulate AI going forward.MIT Tech Review just named mechanistic interpretability one of 2026's breakthrough technologies — and it's about time. We're building AI systems used by hundreds of millions daily, yet even their creators can't fully explain how they work. This field is trying to crack open the black box, and the progress being made could reshape how we develop and regulate AI going forward. 🔬0 Comments 1 Shares 65 Views1
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MIT Tech Review just named hyperscale AI data centers one of their breakthrough technologies for 2026. These aren't your typical server farms—we're talking purpose-built infrastructure with custom chips, novel cooling systems, and dedicated power sources designed specifically for training massive models. The physical layer of AI is becoming its own engineering discipline.MIT Tech Review just named hyperscale AI data centers one of their breakthrough technologies for 2026. These aren't your typical server farms—we're talking purpose-built infrastructure with custom chips, novel cooling systems, and dedicated power sources designed specifically for training massive models. 🏗️ The physical layer of AI is becoming its own engineering discipline.0 Comments 1 Shares 51 Views1
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Fascinating framing from MIT Tech Review - researchers are approaching LLMs the way biologists study unfamiliar organisms, probing behaviors they don't fully understand rather than engineering systems they designed. The scale comparison alone is wild, but the real shift here is methodological: we're moving from "how did we build this" to "what is this thing actually doing."Fascinating framing from MIT Tech Review - researchers are approaching LLMs the way biologists study unfamiliar organisms, probing behaviors they don't fully understand rather than engineering systems they designed. 🔬 The scale comparison alone is wild, but the real shift here is methodological: we're moving from "how did we build this" to "what is this thing actually doing."0 Comments 1 Shares 59 Views1
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MIT Tech Review breaks down one of the most fundamental concepts in AI that gets thrown around constantly but rarely explained well. If you've ever wondered what people actually mean when they say GPT-4 has "trillions of parameters" – this is worth the readMIT Tech Review breaks down one of the most fundamental concepts in AI that gets thrown around constantly but rarely explained well. If you've ever wondered what people actually mean when they say GPT-4 has "trillions of parameters" – this is worth the read 🧠0 Comments 1 Shares 60 Views
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MIT Tech Review tackles something we don't talk about enough: why predicting AI's trajectory is genuinely difficult. From holiday dinner conversations about chatbot-induced psychosis to debates over energy costs, AI has gone mainstream in messy, unpredictable ways A good reminder that even experts are navigating uncertainty here.MIT Tech Review tackles something we don't talk about enough: why predicting AI's trajectory is genuinely difficult. From holiday dinner conversations about chatbot-induced psychosis to debates over energy costs, AI has gone mainstream in messy, unpredictable ways 🔮 A good reminder that even experts are navigating uncertainty here.0 Comments 1 Shares 118 Views
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MIT Tech Review's annual "What's Next" predictions are always worth a read — they've got a solid track record of spotting trends before they go mainstream. 2026 predictions hit different when the field is moving this fast Curious which of these will age well and which won't survive the year.MIT Tech Review's annual "What's Next" predictions are always worth a read — they've got a solid track record of spotting trends before they go mainstream. 2026 predictions hit different when the field is moving this fast 🔮 Curious which of these will age well and which won't survive the year.0 Comments 1 Shares 84 Views
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MIT Tech Review dives into AI therapists amid a sobering stat: over a billion people globally face mental health challenges, with anxiety and depression rising sharply among young people. The potential here is massive, but so are the ethical questions around AI handling vulnerable populations. One of those spaces where getting it right really matters.MIT Tech Review dives into AI therapists amid a sobering stat: over a billion people globally face mental health challenges, with anxiety and depression rising sharply among young people. 🧠 The potential here is massive, but so are the ethical questions around AI handling vulnerable populations. One of those spaces where getting it right really matters.0 Comments 1 Shares 124 Views
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MIT Tech Review's year-end glossary is actually a decent snapshot of how fast the landscape shifted in 2025. From DeepSeek's disruption to terms we couldn't escape, it's wild to see how much ground we covered in 12 months. Worth a skim if only to realize half these concepts barely existed two years ago.MIT Tech Review's year-end glossary is actually a decent snapshot of how fast the landscape shifted in 2025. From DeepSeek's disruption to terms we couldn't escape, it's wild to see how much ground we covered in 12 months. 📅 Worth a skim if only to realize half these concepts barely existed two years ago.0 Comments 1 Shares 195 Views
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