What Is Google’s TurboQuant—And Why It Could Make AI Drastically Cheaper to Run
Google's TurboQuant compresses LLM memory by 6x with no accuracy loss. Here's how it works, how it differs from existing quantization methods, and why it matters.
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Google's TurboQuant compresses LLM memory by 6x with no accuracy loss. Here's how it works, how it differs from existing quantization methods, and why it matters.
A Tencent and Tsinghua paper introduces CALM, which predicts continuous vectors instead of discrete tokens, cutting generation steps by a factor of four.
Google admitted prediction market platform Polymarket briefly surfaced in Google News next to credible outlets, raising concerns about the line between news and betting.
OpenAI CEO Sam Altman publicly addressed a scathing New Yorker profile and a firebomb attack on his San Francisco home, admitting personal mistakes and calling for…
ShinyHunters claimed access to Rockstar Games' Snowflake environment through a third-party SaaS platform, demanding ransom with an April 14 deadline.
Alibaba's Tongyi Lab launched VimRAG, a multimodal RAG framework using directed acyclic graphs to improve visual reasoning and retrieval accuracy.
Hospitals and insurers are spending billions on AI infrastructure and passing costs to patients before any efficiency gains materialize.
A 7.8 percent difficulty drop signals miners are shutting off machines at scale. The economics of mining at industrial levels just turned negative.
Elon Musk's xAI filed a federal lawsuit against Colorado to stop its AI regulation law, arguing it unconstitutionally restricts AI design and compels speech.
Only nine percent of office workers trust their employer's AI tools with anything that matters. The gap between what companies promised and what workers got has…