LLMs & Generative AI - Page 55 of 57
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
Right now, the industry wants you to believe in AI agents, the kind that think and act for themselves. Andrej Karpathy is calling it a fantasy. He's a founding member of OpenAI and Tesla's former director of AI. He built these things.
The Transformer, the engine of the modern AI boom, is a target. Since 2017, it has powered every major breakthrough, but at a cost: it’s a power-hungry, inscrutable black box.
Google’s AI strategy is becoming clear: it plans to win by using the things it already owns. Its newest play opens up live Google Maps data to developers building on its Gemini models. This is a practical advantage, not a theoretical one.
Google's new AI video tool, Veo 3.1, is now more interesting than its hype. It can make a battle look sad. A demonstration generated a scene from the Kurukshetra war. The result is not a chaotic mess of limbs.
Meta spent the last year letting its AI loose on your kids. Now it's selling you a lock.
Data preparation is brutal, repetitive work. Teams spend weeks just getting information out of spreadsheets and into something usable. Now, a research team says they've built something that can do it with a sentence. The system is a ChatGPT agent.
Ask your smart speaker to play some music, and it might just dim the lights instead. Command it to turn off the living room lamp, and it cheerfully offers you a recipe for chicken piccata.
Forget engaging students. A new study from researchers at the University of California, Irvine, makes a starker claim: AI can't even write a passable civics lesson.
OpenAI’s new video tool, Sora, lasted about a week before someone used it to make a stupid, cruel deepfake of Martin Luther King Jr. The company has now blocked those videos.
Everyone talks about training better AI. Hardly anyone mentions the part that actually sucks: finding, cleaning, and organizing the stuff you feed it. That data prep work is the real slog, a hidden tax paid in months of human labor.
Anthropic needed a home. Now it has one: inside Microsoft's empire. The proof landed this week. Claude, Anthropic's chatbot, is now hardwired directly into Microsoft 365—Outlook, Teams, Word.
Artificial intelligence assistants are getting smarter about adapting to specific workplace needs. Anthropic's Claude is taking a significant step by introducing new Skills that promise to simplify how professionals handle complex tasks.
Large language models are boring. Everyone knows this. They churn out the same corporate slop, safe patterns, predictable prose. For years, the entire field has wrestled with this stifling consistency.
Tech companies want AI to spend your money. Banks, for very obvious reasons, are saying not yet. The problem is permission, not processing. An AI can parse a shopping list. It can compare prices.
Your dog is not a dog. To a standard AI vision model, Bowser the French Bulldog is just another generic canine lump in a sea of pixels. Finding him in your photo library is your problem. This is the stubborn, boring flaw in object recognition.
AI agents have the memory of a goldfish. They forget why they’re in a room. This "context collapse" makes complex, multi-step tasks nearly impossible for current language models. Stanford and hardware firm SambaNova think they have a fix.
Everyone is chasing the same basic product: an AI that can actually do things. Anthropic just took another shot with Claude. The company added "skills." It’s a new feature for professional environments.
Two guys opened a coffee shop and told their baristas to use ChatGPT. This is not a tech parable. It's an operations manual.
The military is now testing whether AI should get a security clearance. According to a new report, at least one Army general is using large language models to inform his command decisions. This isn't about automating paperwork.
Anthropic just shipped a smaller, cheaper version of its AI that doesn't seem to be much worse. This is the new normal. The race is now about who can build a model that's good enough and cheap enough to forget it's running.
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