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With integrations across OpenAI, Google and others, Adobe is positioning Firefly as a unified AI studio for design, video and content creation.
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MD Harish Kohli exclusively told AIM the company is building capacity for 5,000 servers in India and expects to ship over 3,000 units in the next year.
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Around 58% of Indian workers refuse to return within the next three years, prioritising high American compensation over domestic tech growth.
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Microsoft Copilot usage numbers remain relatively modest, especially compared to consumer AI chatbots.
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The agent retrieves answers that Zuckerberg would typically obtain through internal channels, reducing reliance on layers of staff.
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OpenAI is reportedly preparing for rapid growth, planning to add roughly 12 employees per day this year.
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The companies have piloted a voice assistant for The Derma Co website, allowing users to browse products and complete purchases through voice commands.
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India is moving cautiously toward an AI copyright framework, balancing innovation, creators' rights, and regulatory complexity.
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As India accelerates investments in semiconductors, AI and space, experts warn that testing infrastructure remains a critical blind spot.
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Elon Musk recently outlined ambitious plans for a chip-building collaboration between his companies Tesla and SpaceX. Bloomberg reportsthat Musk shared his plans on Saturday night at an event in downtown Austin, Texas, with a photo suggesting that what Musk is calling the “Terafab” facility will be built near Tesla’s Austin headquarters and “gigafactory.” Musk said he’s pursuing this project because semiconductor manufacturers aren’t making chips quickly enough for his companies’ artificial intelligence and robotics needs: “We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab.” The goal is to manufacture chips that can support 100 to 200 gigawatts of computing power per year on Earth, along witha terawatt in space, Musk said. He did not offer a timeline for these plans. As Bloomberg noted, Musk does not have a background in semiconductor manufacturing, but he does have a history ofoverpromisingongoalsandtimelines.
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AI coding company Cursor launched a new model this week called Composer 2, which itpromotedas offering “frontier-level coding intelligence.” However, an X user posting under the name Fynnsoon claimedthat Composer 2 was “just Kimi 2.5” with additional reinforcement learning — Kimi 2.5 beingan open source model recently released by Moonshot AI, a Chinese company backed by Alibaba and HongShan (formerly Sequoia China). As evidence, Fynn pointed to code that seemed to identify Kimi as the model. “[A]t least rename the model ID,” they scoffed. It was a surprising revelation, since Cursor is a well-funded U.S. startup thatraised a $2.3 billion round last fallat a $29.3 billion valuation, and isreportedly exceeding $2 billion in annualized revenue. Also, the company didn’t mention anything about Moonshot AI or Kimi in its announcement. However, Cursor’s vice president of developer educationLee Robinson soon acknowledged, “Yep, Composer 2 started from an open-source base!” But he said, “Only ~1/4 of the compute spent on the final model came from the base, the rest is from our training.” As a result, he said Composer 2’s performance on various benchmarks is “very different” from Kimi’s. Robinson also insisted that Cursor’s use of Kimi was consistent with the terms of its license, a point the Kimi account on X repeated in asubsequent post congratulating Cursor, where it said the Cursor used Kimi “as part of an authorized commercial partnership” with Fireworks AI. “We are proud to see Kimi-k2.5 provide the foundation,” the Kimi account said. “Seeing our model integrated effectively through Cursor’s continued pretraining & high-compute RL training is the open model ecosystem we love to support.” So why not acknowledge Kimi upfront? Beyond any potential embarrassment in not creating a model from scratch, building on top of a Chinese model might feel particularly fraught right now, with the so-called AI “arms race” often framed asan existential battle between United States and China. (See, for example, Silicon Valley’sapparent panic after Chinese company DeepSeek released a competitive modelearly last year.) Cursor co-founder Aman Sangeracknowledged, “It was a miss to not mention the Kimi base in our blog from the start. We’ll fix that for the next model.”
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Nvidia’s GTC conference had everything:trillion dollar sales projections,graphics technologythat canyassify video games, grand declarations thatevery company needs an OpenClaw strategy, and even a robot version of the beloved snowman Olaf from Disney’s “Frozen.” On the latest episode ofthe Equity podcast, TechCrunch’s Kirsten Korosec, Sean O’Kane, and I recapped CEO Jensen Huang’s keynote and debated what it means for Nvidia’s future. And yes, a big part of our discussion focused on poor Olaf, whose microphone had to be turned off when he started rambling. Even if the demo had gone flawlessly, Sean might still have had some reservations, as he noted these presentations always focus on “the engineering challenges” and not the “really messy gray areas” on the social side. “But what happens when a kid kicks Olaf over?” Sean asked. “And then every other kid who sees Olaf get kicked or knocked over has their whole trip to Disney ruined and it ruins the brand?” Read a preview of our conversation, edited for length and clarity, below. Anthony:[CEO Jensen Huang] was basically saying that every company needs to have an OpenClaw strategy now. I think that is just a very grand statement that’s meant to be attention grabbing; I think it’s also interesting coming at this kind of transitional moment for OpenClaw. The founder has gone to OpenAI. So it’s now this open source project that potentially can flourish and evolve beyond its creator, or it could languish. If companies like Nvidia are investing a lot into it, then [it’s] more likely that it’ll continue to evolve. But it’ll be interesting to see a year from now, whether that looks like a prescient statement or everyone’s like, “Open what?” Kirsten:In the case of Nvidia, it costs them nothing in the grand scheme of things to launch what they call NemoClaw, which is an open source project, which they built with the OpenClaw creator. But if they don’t do something, they have a lot to lose. So really that message to me, the way I translated it when Jensen was like, “Every enterprise needs to have an OpenClaw strategy,” it was, “Nvidia needs to have a solution or strategy for enterprises, because if it’s successful, it is another way or another pathway for Nvidia to be part of numerous other companies.” So doing nothing is a greater risk than doing something that doesn’t go anywhere. Sean:The real question here is why have we not talked about what is clearly the end game for Nvidia, and the thing that is going to turn it into the first $100 trillion company, which is an Olaf robot. Anthony:How could I forget? Kirsten:Anthony, just go to the end of the two and a half hours to watch this. So, the Olaf robot comes out, and this is something that Jensen loves to do. He loves to have these demos and some of them go better than others. It is also to demonstrate Nvidia’s technology in robotics, and I don’t know if Olaf was actually speaking in real time or if it was programmed — it felt a little programmed, or it had specific keywords that it used. But the greatest part about it is that they had to cut its mic at the end because it just started rambling and speaking to the crowd. And then it went over to its little passageway and was slowly lowered. And you could see it on the video. It was still talking, but no mic. Sean:Now we just need to give this little robot a wheelbase. And I knowthe perfect founder who can provide it. I mean, these demos are always silly. I don’t want to get up on my soapbox, because I know that we’ve talked about this a little bit earlier this week, but this was an impressive demo up until the moment where it fell a little bit short. This is another really good example, though, of [how] robotics is a really interesting engineering problem and a really interesting physics problem and a really interesting integration problem, and all of this stuff, but this was presented as, in partnership with Disney, and it’s supposed to be the future of Disney parks and things like that: You’re going to be able to walk around and see Olaf from “Frozen” and take pictures of them and everything. But these efforts never consider — or certainly don’t put front and center in events like this — all the other things you have to consider when you roll stuff out like this. There’s a really good YouTuber, Defunctland, that dida really good video about this— four hours long, not too long — about the history of Disney trying to get these kinds of robotics into their park, these automatons. The engineering challenges are really interesting and it’s fun to see that history, but it always comes back to the same question of: Okay, but what happens when a kid kicks Olaf over? And then every other kid who sees Olaf get kicked or knocked over has their whole trip to Disney ruined and it ruins the brand? There’s just so much on the social side of this. And that sounds silly, but this is the question that we’re kind of asking about humanoid robots, too. There’s so much hype about all this other stuff and we just don’t really hear as much conversation about the really messy gray areas on the social side of these things, and also just integrating them into people’s lives. We only ever really hear about the engineering challenges — which again, are really impressive. Kirsten:I have a counterpoint and then we have to get to our next [topic]. This is a job creator, because Olaf will have to have a human babysitter in Disneyland, probably dressed up as Elsa or something else. You can imagine that actually, what we’re doing is creating jobs [with] this engineering experiment. Loading the player…
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