LLMs & Generative AI - Page 55 of 73
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.
SAT prep just turned free. Google has plugged full-length practice exams directly into its Gemini AI, available on-demand for anyone with an internet connection.
Anthropic's Claude Cowork finally grasps a simple truth. The real struggle with AI isn't having an idea. It's the clumsy act of explaining that idea to a machine. This new tool attempts to delete that step entirely. You point. You click. You talk.
Anthropic wants two hundred dollars a month from you for a coding assistant. A tool called Goose will do the same job for nothing. The price difference isn't just a gap. It's the whole story.
For years, the electric vehicle crown sat firmly on Tesla’s head. Now it belongs to BYD, a Chinese automaker that few outside its home market saw coming.
Soft drink and tire companies have dominated cricket sponsorships for years. Now the algorithm wants its name on the jersey.
They’re calling it the AI boyfriend business, and it’s exploding. Tencent and Baidu just jumped in, launching companion apps that millions of Chinese women are already swiping into.
OpenAI has carved a new lane in its subscription lineup. Meet ChatGPT Go: an $8-a-month middle ground that slots between the bare-bones free tier and the $20 Plus plan.
OpenAI is finally pulling the lever on monetization, and it’s starting with something deceptively simple: shopping links.
Apple has finally admitted Siri isn't smart enough. The company’s solution is to wire Google’s Gemini model directly into its digital assistant. This is not a partnership. It’s a surrender.
Open source models have always been cheaper. Now, they’re genuinely fast. Take the GPT OSS 120B: it clocks 2,988 tokens per second.
Thailand's social media feeds filled with delicate clay figurines. Then, across India, AI began generating dazzling, intricate saree designs. These two viral moments didn't just test a new model; they named it.
Developers building complex workflows know the pain: you load up your toolchain, and suddenly half your thinking space is gone before you’ve typed a single command. A single Docker MCP server could swallow 125,000 tokens just to list its 135 tools.
For nearly two decades, machine translation felt finished. Google Translate delivered a flat, functional result—good enough that the tech world moved on. Now, OpenAI has yanked everyone back for a second look. The reason?
Teachers aren't just using AI; they've left the rest of us behind. Consider that 81% are now actively working with the tools, a fifteen-point chasm over the global average. This isn't casual experimentation.
Anthropic is rolling the dice on speed. Its new Claude Labs, an experimental product incubator staffed by veterans from Instagram alongside internal product and engineering leaders, is designed to do one thing: move fast. The goal?
The browser was built by AI, not by humans. It still has bugs, and it’s nowhere near ready to replace Chrome or Safari.
Forget the pretty pictures. The real fight in AI image generation is now over text. The simple, impossible task of making an image generator write a coherent sentence. Google's Nano Banana Pro has been the polished favorite.
A billion dollars a year. That’s the check Apple is cutting to Google, a deal confirmed this Monday. The goal? To stop Siri from being a punchline. Apple’s own AI simply fell short.
Google’s Gemini AI is about to get personal, very personal. Starting as a US-only beta for select subscribers, a new opt-in feature called Personal Intelligence lets the model pull directly from your Gmail, Search, and YouTube history.
The race to give AI agents a place to run isn’t just about speed anymore , it’s about survival, scale, and zero-compromise statefulness.
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