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Our team can't stop talking about the World Cup—so Mart Schweiger pointed our newest model, Universal-3.5 Pro, at a bilingual Cristiano Ronaldo interview to see how it handles the parts most models fumble. He switches between Portuguese and English mid-sentence. Universal-3.5 Pro transcribes both, natively. Then we pasted the...

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AssemblyAI

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91,026 просмотров • 2 месяцев назад •via X (Twitter)

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Universal-Streaming is our real-time speech-to-text model — built for voice agents with ~300ms latency, high accuracy, unlimited concurrency, and just $0.15/hour. 👉 Test it live in the playground →
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Universal-Streaming is our real-time speech-to-text model — built for voice agents with ~300ms latency, high accuracy, unlimited concurrency, and just $0.15/hour. 👉 Test it live in the playground →

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Engineering isn’t just about faster typing; it’s about better thinking. Our team is excited to showcase Gemini 3.1 Pro, our best model for systemic reasoning. Watch as the model handles a complex "Legacy Sync" migration, not by just writing functions, but by identifying architectural risks. That’s the difference between a chatbot and an engineering partner.

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Beth Rigby, "You say that you won't compromise on the happiness of children, but you also know US big tech will hate this ban" "Are you concerned about how President Trump might react to this when you see him at the G7 and the consequences for the UK?" Keir Starmer, "This is about fighting for what we think is right" "I'm a fan of tech and AI, I think it has huge capabilities to change our world for the better, that's why I made a pro AI and tech speech at London Tech Week" "I do not accept that you can't be pro tech and AI and at the same time say we must protect our children" "The innovation is incredible in tech and AI. Don't tell me that's impossible for those innovators to devise a way to protect our children" "You can be pro AI and tech which I am, but also pro protecting our children which I am"
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Beth Rigby, "You say that you won't compromise on the happiness of children, but you also know US big tech will hate this ban" "Are you concerned about how President Trump might react to this when you see him at the G7 and the consequences for the UK?" Keir Starmer, "This is about fighting for what we think is right" "I'm a fan of tech and AI, I think it has huge capabilities to change our world for the better, that's why I made a pro AI and tech speech at London Tech Week" "I do not accept that you can't be pro tech and AI and at the same time say we must protect our children" "The innovation is incredible in tech and AI. Don't tell me that's impossible for those innovators to devise a way to protect our children" "You can be pro AI and tech which I am, but also pro protecting our children which I am"

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122,452 просмотров • 3 месяцев назад

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation. It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers. So, how does it work? 🤔 The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech. Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions. See it in action below, or try it yourself in the Google Translate app on iOS & Android.
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Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation. It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers. So, how does it work? 🤔 The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech. Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions. See it in action below, or try it yourself in the Google Translate app on iOS & Android.

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Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

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We are now entering the next chapter for Quartr Pro. Our generative AI model is trained solely on first-party information from public companies and to always link back to the original sources – making it truly stand out. Contact our team via the link in our bio to try it out!
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We are now entering the next chapter for Quartr Pro. Our generative AI model is trained solely on first-party information from public companies and to always link back to the original sources – making it truly stand out. Contact our team via the link in our bio to try it out!

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John Ternus, Apple's incoming CEO, on the Steve Jobs story that shapes every product decision at Apple: Ternus recalls the moment in his own words: "I think you know one of my favorite stories... It was about Steve when he was moving a piece of furniture, a chest of drawers and pulled it away from the wall and looked at the back and was just reflecting on, you know, the carpenter had made it beautiful. It finished the back as beautifully as the rest of it, even though nobody was going to see it." For Ternus, the story is a working philosophy: "I think about that all the time because I think that perfectly exemplifies what we do here." He points to Apple's most affordable Mac as proof that this standard applies across the entire product line, not just the premium tier: "We've been talking about the MacBook Neo. I mean, here is our most affordable Mac we've ever made, and it's absolutely beautiful. And if you open it up and look inside, it's just as beautiful, right?" Ternus continues: "That's true on an iPhone Pro Max or a MacBook Pro or an iPad Pro, but it's also true on a MacBook Neo. That's what we do." The takeaway is a clear signal about the direction Apple is heading under his leadership: "It's just been really good to kind of think about that and reflect on that because that is probably the best kind of clue as to where we're going in the future is we're going to keep pushing in that same way." The lesson? Excellence isn't about what people see, it's about what you refuse to compromise on, even when no one's looking. That principle shaped Apple under Jobs and Cook, and it's the standard Ternus is committing to carry forward.
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John Ternus, Apple's incoming CEO, on the Steve Jobs story that shapes every product decision at Apple: Ternus recalls the moment in his own words: "I think you know one of my favorite stories... It was about Steve when he was moving a piece of furniture, a chest of drawers and pulled it away from the wall and looked at the back and was just reflecting on, you know, the carpenter had made it beautiful. It finished the back as beautifully as the rest of it, even though nobody was going to see it." For Ternus, the story is a working philosophy: "I think about that all the time because I think that perfectly exemplifies what we do here." He points to Apple's most affordable Mac as proof that this standard applies across the entire product line, not just the premium tier: "We've been talking about the MacBook Neo. I mean, here is our most affordable Mac we've ever made, and it's absolutely beautiful. And if you open it up and look inside, it's just as beautiful, right?" Ternus continues: "That's true on an iPhone Pro Max or a MacBook Pro or an iPad Pro, but it's also true on a MacBook Neo. That's what we do." The takeaway is a clear signal about the direction Apple is heading under his leadership: "It's just been really good to kind of think about that and reflect on that because that is probably the best kind of clue as to where we're going in the future is we're going to keep pushing in that same way." The lesson? Excellence isn't about what people see, it's about what you refuse to compromise on, even when no one's looking. That principle shaped Apple under Jobs and Cook, and it's the standard Ternus is committing to carry forward.

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We're incredibly proud of what we created with our Titled Tuesday broadcasts, but unfortunately we will not continue after Split 3 is done. Here's a bit of context. "What shocked me the most was when Danny joined the Dina podcast, where Dina asked him about this partnership, and he said that we're only doing Titled Tuesday with Take Take Take because we paid them a big check." "We are covering the prize fund. So we are paying the prize money for the players. The thing that shocked me was that, yes, it's factually true that we are paying the prize fund and covering that expense for Chesscom, but we had a shared ambition. And it was very clear to me in that interview that this ambition is only for Take Take Take." "That was devastating for me and for the team to hear, for our partner in this project not to have the same vision and alignment and talking about how big Titled Tuesday can become."

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Every young person in our community or others like it around the country deserves the same decent opportunities as kids who grow up in fancier suburbs. Big thanks to Ellen Fanning and the ABC News team for bringing the show to the Kingston Butter Factory in our local area and for the chance to join her on air, surrounded by friends, and talking about the work we do together in our neighbourhoods. A link to the full interview is at

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Andrew Ng, on the biggest shift in AI right now: “The most important trend is agentic AI workflows.” In one slide, he showed the part most people still miss: GPT-3.5 scored 48% on a coding benchmark, GPT-4 reached 67%, but GPT-3.5 inside an agentic workflow jumped to around 95%. That is not a prompt trick. It is the model planning, using tools, checking its own work, fixing mistakes and running the loop again. Everyone is still arguing about which model is smarter, while the real edge is moving to the system wrapped around the model. Watch the clip, then build the workflow around your own process below.

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Andrew Tate went on a podcast and wouldn't stop talking about how he is a genuine A-list celebrity, and the most famous man in the world. It seems like he is more trying to convince himself of this than anyone else. Sad stuff.
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Andrew Tate went on a podcast and wouldn't stop talking about how he is a genuine A-list celebrity, and the most famous man in the world. It seems like he is more trying to convince himself of this than anyone else. Sad stuff.

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THROWBACK: WHEN PEYTON MANNING WENT OFF ON THE “IDIOT KICKER” AT THE PRO BOWL. “I’m at my 3rd pro bowl; I’m about to go in and throw a TD to Jerry Rice. Talking about our idiot kicker who got liquored up & ran his mouth off, HE HAS RUINED KICKERS FOR LIFE”

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Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo
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Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

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We recently sat down with three Google DeepMind team members to hear about their shared vision for our Omni model, what exactly makes it so helpful for creators, and why they focused the model on video generation to start. Plus, see the team put Omni in action with a few visual experiments ↓
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We recently sat down with three Google DeepMind team members to hear about their shared vision for our Omni model, what exactly makes it so helpful for creators, and why they focused the model on video generation to start. Plus, see the team put Omni in action with a few visual experiments ↓

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324,122 просмотров • 1 месяц назад

It has nothing to do with Bafana qualifying for the world cup. The kid was asked a question and he responded. In the same interview he mentioned that his proudest moment is captaining England at junior level.
0:52

It has nothing to do with Bafana qualifying for the world cup. The kid was asked a question and he responded. In the same interview he mentioned that his proudest moment is captaining England at junior level.

Lesilo Rula

94,867 просмотров • 6 месяцев назад

🚨 WATCH THIS: The WORLD just got a FRONT-ROW seat to America... and they can't stop talking about it🔥 From PACKED WORLD CUP stadiums to Europeans calling WALMART A "MUSEUM" 🤣👀 "I was born in the wrong country.... America is the most beautiful country in the world." 🔥
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🚨 WATCH THIS: The WORLD just got a FRONT-ROW seat to America... and they can't stop talking about it🔥 From PACKED WORLD CUP stadiums to Europeans calling WALMART A "MUSEUM" 🤣👀 "I was born in the wrong country.... America is the most beautiful country in the world." 🔥

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