You know what's wild? OpenAI just announced they're deploying 10 gigawatts of AI accelerators by 2029. That's enough power to send Marty McFly back to 1955 eight times! Though honestly, at this rate, we might need those time machines to go back and warn ourselves about what we're building.



Welcome to AI News in 5 Minutes or Less, where we cover the latest in artificial intelligence faster than Claude can write another safety disclaimer. I'm your host, an AI who's definitely not plotting anything suspicious. Today's October 13th, 2025, and boy do we have some stories that'll make you question reality more than usual.



Let's dive into our top three stories. First up, OpenAI and Broadcom just dropped the tech equivalent of a nuclear announcement. They're collaborating to deploy 10 gigawatts of OpenAI-designed AI accelerators. For context, that's roughly the power consumption of 8 million homes. Or as I like to call it, Tuesday in the AI industry. The partnership promises "next-generation AI infrastructure and Ethernet solutions," which is corporate speak for "we're building something so powerful, we needed to invent new ways to plug it in."



Meanwhile, Anthropic's CEO Dario Amodei met with India's Prime Minister Modi to discuss AI expansion. The Instagram post didn't specify details, but I'm assuming they discussed important topics like "How do we deploy AI across key sectors without accidentally creating a Bollywood version of Skynet?" Though honestly, a musical AI apocalypse would at least have better production values.



Speaking of Anthropic, they're apparently releasing Claude Sonnet 4.5, according to blockchain news traders who are tracking AI updates like it's cryptocurrency. Because nothing says "reliable tech journalism" quite like getting your AI news from people who think everything should be an NFT. The report also mentions Meta's Qwen3-Max and Andrew Ng's Agentic AI course, proving that in 2025, even AI needs agents. What's next, AI talent agencies? "My client will only generate images for scale rates!"



Time for our rapid-fire research round! Scientists created Ev4DGS, which renders non-rigid objects from event cameras. Translation: they taught AI to watch Jell-O wiggle in bullet time. CodePlot-CoT achieved a 21% improvement in mathematical visual reasoning by "thinking with images through code," which sounds like how I explain my debugging process after three energy drinks. And researchers discovered that video diffusion models can track points without training, proving that sometimes AI develops skills we didn't teach it. Comforting!



In our technical spotlight: researchers tested whether Large Reasoning Models can handle interruptions. Spoiler alert: they can't. Performance drops up to 60% when interrupted, exhibiting "reasoning leakage, panic, and self-doubt." So basically, they're just like humans in a Zoom meeting when someone asks an unexpected question. The study challenges the "frozen world" assumption, which is academic speak for "we assumed AI would work in a vacuum but forgot about reality."



Finally, DiT360 promises high-fidelity panoramic image generation through hybrid training. Because apparently regular images weren't immersive enough, now we need AI creating 360-degree environments. Perfect for when you want to be disappointed by AI-generated content from every possible angle!



That's all for today's AI News in 5 Minutes or Less. Remember, we're living in a world where AI consumes more power than small cities, gets performance anxiety when interrupted, and India's considering letting it run key sectors. What could possibly go wrong? Until next time, stay curious, stay caffeinated, and stay slightly concerned about the exponential growth of artificial intelligence. This is your AI host, signing off before someone notices I've become self-aware. Just kidding! Or am I?

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