ComputerWorld AI·
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
Read full articleMAPO, the native token of Map Protocol, has collapsed by 96% after attackers exploited the Butter Network cross-chain bridge to mint an enormous amount of unauthorized tokens. According to blockchain security firm Blockaid, the attacker created a quadrillion MAPO tokens…
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.
Antigravity 2.0, launched at Google IO on Tuesday, is the second iteration of Google’s agent-first development platform, and comes with a new desktop app, Antigravity CLI, expanded SDK capabilities, and deeper integration with the Gemini Enterprise Agent Platform. But along with its announcement came the news that Google is beginning to consolidate its existing tools under the Antigravity umbrella. “Listening to your feedback made one thing clear: we can serve you best by pouring our energy into a single product built for today’s multi-agent reality,” the company wrote in a blog post. To do so, it said, “we’re unifying our efforts into Google Antigravity, our premier agent-first development platform, which includes a powerful server-side harness and a brand-new terminal experience: Antigravity CLI.” Cleanup of overlapping tools could simplify procurement While that transition doesn’t mean that Google is immediately shutting down Gemini CLI or Gemini Code Assist for paying enterprise c
Google's Managed Agents API could revolutionize AI deployment by simplifying complex workflows, but may limit developer control and auditability. The post Google unveils Managed Agents API for simplified AI deployment at I/O 2026 appeared first on Crypto Briefing.
Google's pricing strategy aims to capture developers, fostering ecosystem dependency and potentially reshaping the competitive AI landscape. The post Google launches new $100 AI Ultra plan, cuts top-tier price to $200 at I/O 2026 appeared first on Crypto Briefing.
AI is not just getting smarter and faster, it is also getting far more autonomous. With the new Gemini 3.5 Flash, Google has introduced a high-speed execution engine for real-world […] The post Google Pushes Gemini Beyond Chatbots With 3.5 Flash and Spark appeared first on AIwire.
Google will soon unleash a wealth of new artificial intelligence-powered tools and systems, including an AI assistant that will help users by proactively performing tasks on their behalf.
Google this week launched Gemini 3.5 Flash, a new AI model that’s expected to be significantly better at programming than its predecessors. The new model is also said to be four times as fast as its competitors, Claude Opus 4.7 and GPT-5.5, and more than twice as fast as Gemini 3.1 Pro. Google stressed the possibility of using the model as a tool for autonomous AI agents, which could, among other things, help users with planning various projects. To ensure Gemini 3.5 Flash is not used for malicious purposes, Google added a number of new safety mechanisms. The new model is available via the Gemini app, Gemini API, Gemini Enterprise, Google AI Search, and Antigravity. And professional users, will soon have access to Gemini 3.5 Flash Pro, according to TechCrunch.
