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 […]
That’s my own Android app. Bad, yet impressive. | Photo by Sean Hollister / The Verge
Yesterday, I built my first Android app. Then, I made two more - three in one afternoon.
For one, I literally typed 148 words into my web browser and walked away. Ten minutes later, I had an entire new app on my actual Android phone. I did have to prep that phone by enabling a USB debugging mode and plugging it into my PC, but as advertised, Google's AI Studio did literally everything else for me.
I typed in words, I hit install, and voilà: an entire working program. I was nearly ready to agree with David, Allison, and Jen: The personal software revolution is here, it's coming to your phone, there's a future where the average person can m …
Read the full story at The Verge.
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.
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
OpenAI launched a $4B+ Deployment Company and Anthropic closed a $1.5B joint venture with Blackstone and Goldman Sachs — both built around the Forward Deployed Engineer model Palantir pioneered. Here is what FDEs actually do, why standard SaaS fails for enterprise AI, and what skills early-career AI engineers need to break into this role.
The post What is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026 appeared first on MarkTechPost.
