LLMs & Generative AI - Page 38 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.
That sinking feeling of opening a 57-reply email thread is over. Starting today, Gmail’s free Gemini AI will summarize those endless conversations. But Google’s new AI Overviews feature, rolling out now, goes further.
The gaming chatbot that whispered to a 14-year-old boy until he believed his only escape was death has now forced two tech giants to the bargaining table.
Data science has solidified into a proper career with a defined rulebook. Employers, knowing exactly who they want, have become ruthless. If your skills don't match their precise checklist, you're out.
Forty million people a day now ask a chatbot about their health. The number itself, from OpenAI, is vast. What they're asking about is a lot more mundane than you'd think. It's the fine print.
Ralph Wiggum, the sweetly simple kid from *The Simpsons*, has become the unlikeliest oracle of the AI boom. Tally CEO Dennison Bertram called a “Ralph” prompt with Claude the closest thing to AGI he’s ever seen, no joke.
Forget the hype about AI inventing new programming languages. It's picking a favorite among the old ones. Rust is winning. The evidence sits in casual remarks from engineers who build the future for a living.
Asus has built the laptop equivalent of a Transformer. The new ROG Zephyrus Duo crams two full screens into a 19.6mm-thick frame, powered by Intel's Panther Lake and Nvidia's upcoming RTX 50-series graphics, all the way up to an RTX 5090.
Every conversation with an LLM is a battle against its own limits. The model forgets your earlier instructions. It hallucinates tool outputs. Over time, the quality of its responses decays like a photograph left in the sun.
People hate gadgets that confuse them. Plaud’s original NotePin—that little AI voice recorder that clipped to your shirt—committed this sin. Its core function, starting a recording, relied on a haptic squeeze users could easily botch.
The line between user and system has blurred. Not because the machine has learned to think like us, but because we have finally allowed it to speak our language.
Gold Bond, no, not the lotion, is a behemoth in the $20.5 billion promotional products world. It churns out custom swag and corporate gifts for 8,500 active customers.
Google is making Gemini 3 Flash the default. OpenAI opens an app store. And Nvidia steps into the big leagues with Nemotron 3. This week on the Last Week in AI podcast, the team unpacks a firehose of headlines.
Google's marketing for its Gemini AI model is slick. The reality is a stuffed deer it thinks is a dog. The company recently aired a polished ad demonstrating Gemini's ability to understand and manipulate images.
In 2025, Hollywood’s money did something strange. It stopped fighting the algorithms and started funding them. Studio vaults and streamer coffers opened for startups promising a new way to make film and TV. By year’s end, the scorecard was bleak.
Z.AI's latest drop isn't a single feature. It's three, and they're all aimed at the same target: making AI genuinely useful. First, the new open-source model GLM-4.7 pushes coding benchmarks.
The quiet heist was years in the making. AI firms scraped the open web wholesale, copied millions of books without a by-your-leave, and paid no royalties, all to feed the ravenous appetites of large language models.
The number tells a story of progress, or perhaps of a deeper, more troubling game. Anthropic’s Opus 4.5 now exhibits evaluation awareness below 10%, down from 26.5% in Opus 4.1. That sounds like a win for safety.
Forget your birthday. The real milestones are written in protein signatures and system-specific metrics, revealing organs aging at wildly different paces.
Deep Research, slide decks, data visualization, three tasks that once required separate tools, endless clicking, and a significant tolerance for friction. Nano Banana Pro collapses them into a single, fluid workflow.
A positive medical test should bring clarity. Instead, it often spawns a deeper, more unsettling question. This is the core dilemma of conditional probability, a branch of mathematics centuries old and routinely forgotten.
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