News on GPUs, specialized silicon, data center scaling, and the infrastructure powering the AI revolution.
A single tweet exposed Cursor's Composer 2 as a remix of Moonshot AI's Kimi—not the frontier breakthrough it claimed. But is this cheating, or smart engineering in a cutthroat field?
Picture this: your car, hurtling down the freeway at 70 mph, pondering life's big questions like 'Should I pass that truck?' all on its own. Micron says it'll need 300GB of RAM to pull it off — turning wheels into wandering supercomputers.
You slump home exhausted; Nadine spots your scowl, recalls last week's rant, and coos empathy. Sounds perfect — until lag kills the vibe and bills hit six figures.
GrapheneOS just told the world's regulators to shove it—no age verification, no personal data, sales be damned. In a world of creeping surveillance laws, this is the line in the sand we've been waiting for.
Tired of token bills eating your AI budget? OpenAI's prompt caching delivers 90% discounts on repeated prompts — a shift that turns pricey experiments into everyday tools. Buckle up for the tutorial.
Elon Musk just promised a Terafab chip plant in Austin to power his AI and space dreams. But with billions needed and zero timeline, is this genius or another overpromise?
Silicon Valley's latest AI gold rush has enterprises scrambling: keep LLMs in-house on pricey GPUs, or route through proxies to dodge data leaks? Spoiler: neither's perfect, and someone's always cashing in.
Imagine your dusty router swapped for a glowing crystal centerpiece that blasts Wi-Fi 7 speeds. Huawei's betting big on looks — but will it fix your dead Wi-Fi zones or just light up your shelf?
Gamers, rejoice: your favorite indie hits won't turn into AI slop anytime soon. Developers at GDC made that crystal clear, even as vendors hawked generative miracles.
Everyone thought DDR5 would plummet like DDR4 did. Nope—AI's insatiable hunger flipped the script, turning a sweet Corsair discount into bittersweet relief.
Amazon's flashing its Trainium chips like a shiny new toy. But after 20 years watching Valley hype, I'm asking: who's really cashing in?
A single gallery crams 45 LLM architectures into visual model cards, from vanilla multi-head attention to exotic sparse hybrids. But after 20 years in this game, I gotta ask: are these tweaks genius or desperate compute bandaids?