Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

DeepSeek launches V4 AI model with Huawei chip support, offering lower costs and intensifying global AI competition.

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TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an "Eager First" approach with multiple execution modes and utilizes the XLA compiler to optimize distributed training across massive clusters. Moving into 2026, the project aims to further reduce compilation overhead and expand support for dynamic shapes and custom kernels to ensure seamless scalability for the next generation of AI.

This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

Health data from 500,000 UK Biobank participants was found listed for sale online in China, raising concerns over research access misuse and data security.

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To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a "Gemini API developer skill" that provides agents with live documentation and SDK guidance. Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill. This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a "source of truth" can effectively eliminate outdated coding patterns.

Meta will cut 10% of its workforce, impacting about 8,000 employees, as it shifts resources to AI and reduces costs amid ongoing restructuring efforts.

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Windows 10 support has ended, leaving millions exposed. Here are six options, from upgrading to Windows 11 to switching to Linux or ChromeOS Flex.

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See what you missed in Daily Tech Insider from April 20–24.

The post AI Upgrades, Security Breaches, and Corporate Shakeups Define the Week in Tech appeared first on TechRepublic.

Here is a recap of what happened in the search forums today, through the eyes of the Search Engine Roundtable and other search forums on the web. Google now won't use spam reports with personal identifiable information. Google's head of search...

This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

This week, we covered new heated Google search ranking volatility. Google's Danny Sullivan spoke about commodity versus non-commodity content. Google now wont use spam reports with personality identifiable...

Today, we’re announcing an agreement with Amazon Web Services (AWS) to bring tens of millions of AWS Graviton cores into Meta’s compute portfolio, making us one of the largest Graviton customers in the world. Processing cores are units inside CPUs that make it possible for CPUs to carry out workloads essential to the next generation of complex agentic AI. 

This agreement builds on Meta’s long-standing relationship with AWS, and expanding to include Amazon’s custom silicon supports our broader goal of diversifying compute to meet the demands of the AI systems we’re building. The first deployment will start with tens of millions of Graviton cores, with the flexibility to expand as our AI capabilities grow.

Core Processing for the Future of AI

As Meta deepens its work with agentic AI — autonomous systems that reason, plan, and execute complex tasks — compute requirements are evolving. 

“This isn’t just about chips; it’s about giving customers the infrastructure foundation, as well as data and inference services, to build AI that understands, anticipates, and scales efficiently to billions of people worldwide. Meta’s expanded partnership, deploying tens of millions of Graviton cores, shows what happens when you combine purpose-built silicon with the full AWS AI stack to power the next generation of agentic AI.” 

– Nafea Bshara, Vice President and Distinguished Engineer, Amazon 

AWS Graviton5 cores offer faster data processing and greater bandwidth critical for AI systems that need to continuously reason through and execute tasks at scale. 

Our Portfolio Approach

Our deal with AWS reflects a straightforward principle behind our infrastructure strategy: building AI at Meta’s scale requires a diversified approach to infrastructure. We invest in our own data centers and custom hardware. We partner with cloud providers who bring differentiated capabilities. And we continuously evaluate which architectures are best suited to which workloads. Adding AWS Graviton cores to our workload helps us ensure we have the right compute for the right workload. 

“As we scale the infrastructure behind Meta’s AI ambitions, diversifying our compute sources is a strategic imperative. AWS has been a trusted cloud partner for years, and expanding to Graviton allows us to run the CPU-intensive workloads behind agentic AI with the performance and efficiency we need at our scale.”

– Santosh Janardhan, Head of Infrastructure, Meta. 

As we continue to grow the systems behind Meta AI and agentic experiences that serve billions of people, partnerships like this one are a key part of how we build — efficiently, flexibly, and at the pace our ambitions require.

The post Meta Partners With AWS on Graviton Chips to Power Agentic AI appeared first on Meta Newsroom.

Here is another interview from Google's head of search, Liz Reid. This one was done on the Odd Lots Bloomberg podcast and is titled "Google's Liz Reid on Who Will Own Search in a World of AI."

Google is working to fix a bug in AI Mode where it is changing the title links and citations. This bug was spotted by Lily Ray who wrote on X, "Google is changing title links / citations in AI Mode - just the name of the person, with a link to the place they were mentioned."

A couple of weeks ago, Google stunned many by saying that they updated their spam report to pass along all information to the site that you enter in the spam report. There was a lot of backlash to that and Google reverted, now saying if there is personally identifying information, it won't process the spam report at all.

About a year ago, Google announced you can opt in, within Search Labs, to see Audio Overviews within the Google Search results. But now, I saw two different people say they saw it without opting into the experiment. So Google may be testing this in the wild.

Google Business Profiles lets you upload photos of your business to your Business Profile. Those photos can be viewed on Google Search and Google Maps. And now, these photos are reportedly sorted by most recently uploaded.

Learn what cloud security is, why it matters in 2026, and the best practices for protecting data, identities, workloads, and cloud infrastructure.

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Google has updated its account settings to allow U.S. users to change their @gmail.com usernames while keeping all existing account data and inboxes intact. For developers, this means that while old email addresses will remain active as aliases, apps that rely solely on email addresses for identification may face issues with account duplication or lost access. To ensure a seamless user experience, Google recommends migrating to the "subject ID" as the primary user identifier and allowing users to manually update their contact information within app settings.