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最新 AI 资讯
For GCCs, Non-Tech Hiring in India Set to Cross 5 Lakh Roles by 2028
Sales operations, finance and business operations are expected to account for more than 60% of non-tech GCC demand.
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What India’s Young Innovators Are Building When Nobody Is Watching
From quantum-era cybersecurity to para-athlete scouting and flood monitoring, young Indians are using AI and other technologies to tackle problems that rarely get attention.
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ITC Infotech-Happiest Minds Merger Is a Warning Shot for India's Mid-Tier IT
The ₹7,000-crore merger creates scale. But its bigger significance lies in what it says about the pressure building on India’s mid-sized IT services firms.
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Genesys Launches New Innovations To Automate End-To-End Customer Service
Snippet: The platform retains information across interactions, determines its actions and coordinates work between AI and human employees while operating within predefined business rules.
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MongoDB Appoints Richard Scott as SVP for Asia Pacific & Japan
Scott, who brings more than 25 years of experience across the technology sector, joins MongoDB after holding senior roles at Salesforce, Microsoft and SAP.
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IIT Madras-Backed Bodhan AI, AI4Bharat Launch 4 AI Models for Students & Teachers
The models will be offered as Digital Public Goods, with open weights and sovereign APIs that let developers build applications without training language models from scratch.
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OpenAI GPT-6 Astra Launched With Critical-Level Cybersecurity Capabilities as Part of AGI Push
OpenAI has released GPT-6 Astra, calling it the most capable flagship AI model yet. Its deployment is part of the San Francisco-based company's plans to eventually reach AGI (artificial general intelligence), a stage where a computer system can learn, reason, and perform any intellectual or cognitive task that a human can. GPT-6 Astra is designed for reasoning, coding, research and agentic workflows. It comes with a 1.05-million-token context window and supports up to 128,000 output tokens through the API.
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Crusoe reportedly raises $3B at a $30B valuation
Data center developer Crusoe, which counts Meta, Microsoft, and OpenAI as its customers, has raised a new $3 billion round at a $30 billion valuation,Bloomberg reported. The deal is being co-led by Atreides Management and Valor Equity Partners, and includes participation from Mubadala Capital, the asset management subsidiary of Abu Dhabi’s sovereign wealth fund Mubadala. The company recently signed amassive $13 billion, five-year cloud contract to supply quantitative trading firm Jane Street with GPUs and AI infrastructure, Bloomberg reported. The fresh fundraise comes 10 months after Crusoe raised a $1.38 billion round at a$10 billion valuationlast October. Launched in 2018 as a crypto mining operation powered by flared natural gas, Crusoe has since pivoted into a major AI infrastructure and cloud provider that is best known for developing hyperscale data center campuses for clients like Oracle and OpenAI. The company recently met with investment bankers, including Goldman Sachs and Morgan Stanley, to discuss a potential near-term IPO,Axios reportedlast month.
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The sameness problem behind those unappetizing AI-generated menus
When it first happens to you, you think you’re crazy. You wander into a cafe and look at a menu with a variety of bagel sandwiches, but each illustration looks eerily flawless, precisely symmetrical, and oddly smooth, eliciting a visceral sensation that something isn’t right. You might think you’re paranoid, but you’re not losing your mind. Generative AI menus have hit the restaurant business courtesy of models courtesy of models trained on a narrow, “pleasing” aesthetic that produces a look that feels wrong even when you can’t articulate why. Sometimes, these illustrations are egregiously fake, like a burrito with cheese so bubbly and melty that it looks more likeavant garde artthan lunch. More often, they’re soordinarylookingthat you only notice something iswrongwhen you take a second to look more closely. “It’s almost like an alien trying to make a pizza without understanding its core principles,” Reality Defender CTO Alex Lisle told TechCrunch. (Reality Defender itself is part of a growing category of startups selling AI-detection and content-verification tools — a business that exists in part because of issues like this one.) Throw a rock in NYC and you’ll hit a mildly off putting AI food advertisement.pic.twitter.com/lLXVkFIFoG Lisle says that the way these models are built can help explain why illustrations seem to embrace such a specific aesthetic — one where every ice cream scoop is perfectly round, and where shrimp seem to have been genetically modified to eat their own tails, creating new “Lovecraftian food horrors.” Large language models (LLMs) and diffusion models — the kinds of AI models that make seemingly omniscient chatbots and image generators like ChatGPT and Midjourney possible — are trained on vast quantities of data. The models then identify patterns in the datasets to predict what a user is looking for when they ask something like, “Make me a menu for a burger restaurant.” “A lot of this stuff looks like a Chili’s menu from 2015, and there’s a reason for that,” Lisle said. “That was the corpus of work from which [the models] drew their function.” New training data is invaluable to the companies building AI models — Amazon has even been found to source rare books to scan and add to its training data, only todestroy those booksonce they’ve been uploaded. It’s inevitable that some AI-generated content will seep into these incomprehensibly large data sets. But when AI models train on too much of their own AI-generated content, they riskmodel collapse. “Model collapse is almost like a mad cow disease… when you feed the outputs from one model back into itself, eventually the inbreeding becomes too much, and the whole thing collapses,” Lisle explained. “What we see here is convergence, which isn’t necessarily model collapse.” Convergence is a bit less extreme, degrading the quality of an AI’s outputs without making it entirely useless. If someone asks an AI model to generate a menu for a fast food restaurant, the model will likely reference menus from Wendy’s, Burger King, McDonald’s, or another popular chain. These menus already share a similar style, which means that the AI-generated outputs will mimic that same style, only to further reinforce it further if the AI-generated menu ends up back in training data. But menus and advertisements for food will always look better than the real thing, like a Big Mac in a McDonald’s commercial where each layer of the sandwich is arranged by a prop designer to look maximally appetizing. This effect can become even more pronounced in AI outputs. “The optimization of the data sets is for pleasingness, or you know, not being offensive, and so there’s a way that turns into homogenization,” Lee Rainie, Director of the Imagining the Digital Future Center at Elon University, told TechCrunch. “What AI is known to do both in images and language is to shave off the edges.” On a more localized scale, this smoothing of images seems to happen when you use an AI image generator to create a menu and apply edits to it. On X, a user namedLabtecshowed what happens when you make a menu in ChatGPT, then edit it 100 times to see how the food continues to look less and less like it should. (We replicated the experiment and found similar results.) “The end result actually makes me uncomfortable,” Labtec wrote. I made a restaurant menu in ChatGPT then edited it 100 times to see how those hideous slop menus end up the way they are. The end result actually makes me uncomfortablepic.twitter.com/sDIUKlabdp Restaurants are likely falling victim to this problem, revising their AI-generated menus to alter small details over and over, like prices or item names. It seems that with each edit, the food images become a tiny bit more round and smooth. “People have an almost unexplainable sense about when they’re looking at something that’s AI-generated, compared with something that was real in the first place,” Rainie said. “There’s just a sensibility that people sometimes find hard to articulate, but they kind of know it when they see it and I think that’s one of the reasons why some of the early stories about the backlash [against restaurants using AI menus] is so pronounced.” There’s science behind our aversion to these AI menus. Researchers at the University of Duisburg-Essen in Germanyfound that AI-generated food images exhibited an “uncanny valley” effect, where images of food that looked almost real elicited more disgust and unease than images that were obviously fake. That squeamishness only intensifies in light of the cultural context around AI. If people react to these images so negatively, then that’s probably reason enough for restaurants to stop trying to make AI menus work. But the issues that bring us perfectly browned hamburger buns extend beyond the dinner table. “Seeing and hearing has always been believing, to the point where even our court systems are entirely tuned to the idea that the gold standard in evidence is taped confessions and videotaped evidence,” Lisle said. “That’s no longer the case. The world has fundamentally shifted, for good or for ill.”
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OpenAI Declares ‘AGI Era’ after Launching GPT 6
The company believes that it is the best model in the world for professional work.
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How to Talk to a Speaker at an AI Conference
The four minutes after a talk ends are the most valuable and least used minutes of any conference. Here is how to use them without being the person everyone edges away from.
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Adobe Names Anil Chakravarthy as CEO, Shantanu Narayen to Become Executive Chair
The leadership change comes as Adobe expands its focus on agentic software across creativity, productivity and customer experience.
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