Google Search as you know it is over

I spent years at Google as a software engineer and tech lead building the systems that decide which ad you see, when you see it, and whether you clicked. Recommendation engines. Tracking pipelines. Conversion funnels. The whole architecture of the attention economy, wired together. Then, somewhere around 2024, I started noticing something. When a user […]

Activist investor pressure on Big Tech's AI energy use could reshape regulatory landscapes, financial risks, and ESG investment dynamics. The post Activist investors press Amazon, Google, Meta on AI energy use and climate goals appeared first on Crypto Briefing.

Activist investor pressure on Big Tech's AI energy use could reshape regulatory landscapes, financial risks, and ESG investment dynamics. The post Activist investors press Amazon, Google, Meta on AI energy use and climate goals appeared first on Crypto Briefing.

Artificial intelligence is fundamentally rewriting the rules of cyber defense. The companies leading this transformation are compressing response times from hours to seconds, replacing manual analyst workflows with autonomous agents, and tackling attack surfaces that legacy tools were never built to see. From exploit intelligence to AI-powered identity governance, these are the scale-ups building the […]

Google's AI integration challenges its ad revenue model, reshaping SEO and online visibility, while regulatory risks add further complexity. The post Google seeks to balance AI disruption with core business protection appeared first on Crypto Briefing.

Google's AI integration in Search and YouTube could reshape digital ecosystems, impacting user engagement and altering market dynamics. The post Google revamps Search and YouTube with Gemini AI features at I/O conference appeared first on Crypto Briefing.

Google's AI integration in Search and YouTube could reshape digital ecosystems, impacting user engagement and altering market dynamics. The post Google revamps Search and YouTube with Gemini AI features at I/O conference appeared first on Crypto Briefing.

Google has only one way to measure the phenomenal AI growth it’s seen: in tokens. The company processes 3.2 quadrillion tokens per month, Google CEO Sundar Pichai said during this week’s I/O keynote, adding, “never imagined I’d say quadrillion…, but here we are.” Basically, tokens are a unit of measure used by large language models (LLMs) to process data. Tokens, which have been called the “new oil” fueling the AI revolution, are also a way AI vendors can meter usage and price their services. Enterprises are lusting for tokens, and spending billions of them to grab compute time. As with oil, the demand for tokens is seemingly insatiable — and it is straining an already short GPU supply, which in turn is increasing the cost of running AI tools. What exactly is a token? Similar to the way humans think, LLMs grasp the meaning of a sentence by breaking words down into tokens. Pichai described them as “the fundamental units of data our models process, many representing a problem being solve