LLMs & Generative AI - Page 45 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.
Your television is getting chatty. Google is grafting three new Gemini features onto Google TV, turning the screen into something that talks back.
Anthropic just dropped a research preview that lets its AI take the wheel. Right now, Claude Pro and Max subscribers can watch Claude Code or Cowork agents click and type directly on their Mac's screen.
Mark Zuckerberg is building a personal AI agent to bypass his own chain of command. No more waiting for middle managers. No more layered briefs.
Advertisers at Google's NewFront saw one number, bold and unavoidable: a 76% jump in return on ad spend. That figure, revealed when a marketer added just one more tool from the Google Marketing Platform, wasn't a subtle detail.
MiniMax just dropped a training trick that makes you wonder why nobody thought of it sooner.
Your agent will fail. That’s not pessimism; it’s physics. The real question, the only question that matters for any organization deploying autonomous systems into risky operations, is how that failure happens.
She didn’t expect much from a series of Zoom calls with the authors of generative AI white papers. Then she saw Francis Galton’s statistical fingerprints all over the code.
Dismissing Gemini’s Uber Eats demo as a mere party trick misses the entire story. Watch that video again. The AI taps methodically, slowly, across a screen designed for human eyes.
J Allard, the man behind the Zune and Xbox, is back in the hardware game, this time at Amazon’s secretive ZeroOne group. His mission?
Your AI agent is about to leave the safety of a Jupyter notebook. The real world is waiting, and it’s hostile. APIs fail. Timeouts stretch into infinite hangs. Bad data sneaks through without a whisper.
Experimentation teams are hitting a wall. More tests, more velocity, more pressure, but the headcount stays flat. Optimizely’s upcoming webinar flips that equation.
The line between a coding assistant and a remote developer just blurred. Anthropic has released Claude Code Channels, embedding its AI directly into Telegram and Discord. No more refreshing a web chat or watching a session time out.
The desktop is where OpenAI plans to plant its flag, and plant it hard. A single “superapp” is in the works, one that would fuse ChatGPT, the coding tool Codex, and the Atlas browser into a unified command center.
Cursor's new Composer 2 just outscored Claude Opus on its own benchmark. A clear win to trumpet. Yet it still trails GPT-5.4—a quieter note in the release. The real story, however, isn't on that leaderboard. Check the balance sheet.
Your AI assistant is useless. It's a generic transcript bot that can't tell a sales call from a strategy review. That's changing, because companies are refusing to pay for dumb software. They're buying tools that adapt.
The numbers are staggering. Xiaomi’s MiMo-V2-Pro has quietly climbed to the top of the Chinese LLM leaderboard, and it’s now nipping at the heels of the West’s most expensive frontier models.
MiniMax built an AI that learns from its own screw-ups. Now it runs a third to half of the reinforcement learning pipeline. That’s not incremental. That’s handing over the keys. The M2.7 is meant for real production, not clean benchmarks.
Headlines have a way of running faster than facts. The story of Rosie, a dog whose cancer treatment was allegedly designed by ChatGPT, swept through social media with the force of a breakthrough, except the breakthrough never happened.
Multi-step workflows have always been a puzzle: you get weather data from one tool, then need to feed it into a booking system. That handoff has been clunky, error-prone, until now. Gemini 3’s API changes the game.
In the relentless pursuit of faster, smarter AI, a curious paradox has emerged: models grow more capable, yet users grow more impatient. Mamba-3 shatters that trade-off.
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