thenextweb
Google is rationing Gemini access to Meta because it cannot provide enough compute

Google has placed limits on Meta’s use of its Gemini AI models because it cannot provide as much computing capacity as the social media company wanted, the Financial Times reported on Sunday. The restrictions have affected several Google clients, with Meta hit particularly hard. The move has had a knock-on effect on Meta’s internal projects. […]<br /> This story continues at The Next Web [...]

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venturebeat
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]

Match Score: 121.45

venturebeat
Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money

Google on Tuesday unveiled Gemini Spark, a personal AI agent designed to work around the clock — drafting emails, assembling documents, monitoring inboxes, and eventually making purchases — even w [...]

Match Score: 103.79

venturebeat
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs

Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]

Match Score: 103.14

venturebeat
Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents

Meta today released Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its Muse Spark family of frontier models — a one-two punch that puts [...]

Match Score: 102.60

venturebeat
Google's Gemini Flash 5.6 model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way

Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to ma [...]

Match Score: 98.78

venturebeat
Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way

Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to ma [...]

Match Score: 98.78

venturebeat
Google’s new Deep Research and Deep Research Max agents can search the web and your private data

Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max †[...]

Match Score: 94.52

Destination
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators

Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]

Match Score: 94.27

venturebeat
Google’s Gemini 3.7 Flash targets coding and agents with a 50% introductory price cut

Google is rolling out Gemini 3.7 Flash, a new version of its workhorse AI model that puts coding, agentic workflows and knowledge work at the center of the upgrade — while temporarily cutting API pr [...]

Match Score: 93.30