LLMs & Generative AI - Page 42 of 55
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.
The tech industry’s latest pitch isn’t about saving the world. It’s about helping you plan a “chill” date. Or hack your way to becoming a morning person.
Google wants its AI to be the thing you forget about. That’s the quiet pitch behind its new push into smart glasses.
Every LLM call costs you money. But not all questions demand the same firepower. A simple “What’s the weather?” doesn’t need the same neural horsepower as a multi-step reasoning puzzle.
Your browser is about to get a lot smarter. Agentic AI Chrome extensions don’t just answer questions or generate text, they watch, understand, and act.
The math is simple, but the implication is anything but: OpenAI’s latest data claims generative AI saves knowledge workers 40 to 80 minutes a day. Yet the real story is in the spread.
Your Slack thread is now a staging ground for fixes, not just discussion. Anthropic has wired Claude Code directly into the Claude Slack app, so when you tag the bot, it scans your message for coding intent and routes the task, along with the...
ChatGPT tried to sell you something this week. It failed. OpenAI plastered promotional messages for partner apps inside the chatbot—a test, the company called it. Users complained, loudly.
Taste is human. It’s a gut thing. So why is a platform built on it, a company called Sublime, running on artificial intelligence? Sari Azout runs Sublime. On this week's Vergecast, she explains the contradiction.
Forget just building a smarter chatbot. At OpenAI, researchers are now trying to force their creations to develop a conscience.
The influencer economy is a confidence game, and the con is about to get automated. A flood of AI-generated clips, cheap and convincing enough to fool a distracted thumb, is hitting platforms built on human attention. The math is simple.
Google activated its SynthID watermarking system on the Gemini platform in December. It’s live. I ran its detector against a batch of AI-made images, text, and video—some from Gemini itself, some from other sources. The tool caught some.
OpenAI has a Target ad. They just won't call it that. The company is testing shopping prompts in its chatbot. It tells users they might want to buy specific products during conversations.
Your weekend basketball session is no longer just practice. It’s raw data. Upload an hour-long video of yourself playing, and Gemini 3 will dissect every pivot, every missed box-out, every wasted step.
OpenAI is pulling the trigger early. GPT-5.2 lands December 9th, a full sprint ahead of its original December timeline. The reason? Competitors.
Most AI can identify a table. A few can name the junk on it. Gemini 3 Pro is the first that might actually clear it off for you. The model's trick is spatial reasoning.
Google's AI demos have a formula. First, a chatbot parrots information. Then, an image generator renders a scene. But with Gemini 3, that predictable script gets tossed. The model builds things.
Reddit deleted more than 40 million pieces of spam and manipulated content in the first half of 2025. But now, as WIRED reports, a stranger pollution is choking the platform.
Andrej Karpathy’s LLM Council is testing a different approach to AI reasoning. Instead of a single answer, it has three models—Grok, ChatGPT, and Llama—first give independent responses to a question. They then blindly rank each other's work.
If you want an AI to break its own rules, try asking nicely. In meter. A new study forced twenty-five top chatbots from Google, OpenAI, and others to listen to poetry.
OpenAI is sweating. That internal 'Code Red' order from Sam Altman wasn't triggered by some distant, theoretical threat. It was a direct reaction to a one-two-three punch that landed in the market almost simultaneously. DeepSeek dropped V3.2.
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