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Hand-picked stories worth reading right now41 articles found
Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks
Agent infrastructure startup Diagrid Inc. today released Catalyst 2.0, an update to its managed workflow engine that adds automatic failure recovery and cryptographic verification to artificial intelligence agents built on frameworks such a LangGraph, Microsoft Agent Framework and Google's Agent Development Kit. Developers do not have to rebuild anything to use it. Teams add a [...] The post Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks appeared first on SiliconANGLE.
Nvidia could reportedly backstop $250B loan for new OpenAI data center campus
Nvidia Corp. is reportedly in talks to backstop a $250 billion loan for OpenAI Group PBC. The Wall Street Journal on Sunday cited sources as saying that the financing would cover the cost of a new data center campus in Ohio. According to CNBC, the site is expected to provide 10 gigabytes of computing capacity. [...] The post Nvidia could reportedly backstop $250B loan for new OpenAI data center campus appeared first on SiliconANGLE.
General Catalyst Takes The Lead Over Y Combinator In Backing $5M+ Fintech Deals
For the first time in several quarters, General Catalyst in Q2 overtook Y Combinator when it came to participating in the most fintech deals of $5 million or more, per Crunchbase data. The quarter also marked the busiest one for General Catalyst since 2021 in terms of investing in rounds of $5 million or above.
Building trade assistant: How Jefferies optimized front office trading operations with AI
In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and Amazon Bedrock Knowledge Bases. It also uses Model Context Protocol (MCP), an open standard that helps AI agents securely connect to diverse data sources and tools through a unified interface. We cover the solution overview, the rationale for selecting the underlying technology st
This Time Is Different: Why AI Is Unlike Any Wave I Have Seen In 40 Years Of Financial Services
AI will fundamentally rewrite the global financial value chain, making marginal operating costs near-zero and creating highly personalized, previously impossible products, argues guest columnist Nigel Morris of QED Investors. He warns that success will depend on whether incumbent banks and fintechs are willing to self-cannibalize and rebuild their operations around this transformative technology.
Custom OS installation now available on AWS DeepRacer devices
With the stock firmware and software, developers couldn't modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. In this post, we introduce the bootloader, discuss how to use it, and share links to a community distribution that uses it.
QumulusAI's direct listing: Accelerating the neocloud for enterprise AI
Neocloud provider QumulusAI said today that it will starting trading Thursday as a publicly traded company on Nasdaq under the ticker symbol QMLS via a direct listing. For those unfamiliar with the process, the typical initial public offering takes time and requires an investment banker, whereas a direct listing does not create new shares. Instead, existing [...] The post QumulusAI's direct listing: Accelerating the neocloud for enterprise AI appeared first on SiliconANGLE.
Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS
In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. We demonstrate how each layer operates independently to reduce the risk of cross-tenant data exposure, even when the LLM itself is compromised or manipulated.
Huntington Bank: Redacting sensitive data from 400M+ documents with AWS
In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Industry (PCI) data from over 400 million documents, reducing processing time from years to just a few months while achieving 95%+ redaction accuracy.
Verifiable, private AI: Google Cloud expands Confidential Computing frontiers
Protecting sensitive data used with AI is a critical part of our commitment to providing advanced and secure cloud infrastructure. Confidential Computing cryptographically protects data in use in hardware-based Trusted Execution Environments (TEEs) with verifiable data integrity. We are thrilled to share our latest Confidential Computing innovations across our hardware ecosystem that help further strengthen verifiable privacy in cloud AI deployments. Confidential AI at global scale By scaling our Confidential AI capabilities globally, we help ensure that AI inference and fine-tuning workloads
Google forms research partnership with A24 Films that's focused on AI filmmaking tools
Google LLC is investing about $75 million into the independent movie studio A24 Films LLC in order to explore the potential of artificial intelligence further in the entertainment industry. A24, which is known for hit movies such as "Backrooms" (pictured) and "Marty Supreme," will gain access to Google's DeepMind AI research laboratory as part of [...] The post Google forms research partnership with A24 Films that's focused on AI filmmaking tools appeared first on SiliconANGLE.
Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to the most effective model, pay per request, and operate within spending budgets. You will also see how the two-hop payment pattern works end-to-end and how to get started with your own implementation.
Visual Language Models Train Robots to Read Human Emotions
Researchers trained collaborative robots to read human emotions using a vision language model (VLM) that accounts for context, not just facial expressions. In experiments with 40 volunteers, the VLM matched human observers' emotion readings better than a conventional facial-analysis system. But the study found the emotional capabilities of robots only go so far: when a robot failed at its task, participants trusted it less regardless of how it apologized. The work, led by Seung Chan Hong at the University of Melbourne, was published 18 May in IEEE Robotics and Automation Letters.
Subscription Pricing Models: The PM's Guide to 2026
A lot of PMs get assigned pricing the same way they get assigned incident response for the first time. Someone senior says, "You're closest to the product, take the first pass," and suddenly you're in a meeting with finance, sales, growth, and engineering trying to answer questions you were never formally trained to own. That's [...] The post Subscription Pricing Models: The PM's Guide to 2026 appeared first on Product Growth.
Coinbase for Agents lets AI assistants trade crypto and move money
Coinbase launched Coinbase for Agents, a standalone account that lets AI agents trade cryptocurrency, pay for services, and operate with financial autonomy directly from assistants such as Claude and ChatGPT. Users connect an existing Coinbase account, set spending limits, and the agent transacts on their behalf, either from an isolated portfolio or the main balance. The product builds on Coinbase's 2024 AgentKit work and uses the x402 open standard for machine-to-machine payments, arriving as the company points to projections that agents could handle roughly 20% of e-commerce by 2030.
Diagrid brings cryptographic proof to AI agent and workflow execution
Diagrid released Dapr 1.18, an update to the open-source runtime that lets organizations cryptographically prove how an AI agent or workflow executed, who held custody of the work, and whether its history was altered. The release centers on a capability called verifiable execution, built from three new features. Diagrid is the primary contributor to Dapr, a graduated project of the Cloud Native Computing Foundation. The update also includes other changes such as a stable Jobs API and general availability of hot reloading.
Visa partners with OpenAI to let AI agents make payments for users
Visa has struck a deal with OpenAI to let AI agents make payments for users, bringing one of the world's largest payment networks into ChatGPT's push toward agentic commerce. Announced at the Visa Payments Forum in San Francisco, the partnership integrates Visa's payment tools into OpenAI's products so developers and merchants can accept Visa transactions initiated by AI agents within user-defined limits. Visa supplies the network, tokenization, risk capabilities, real-time authorization, fraud monitoring, chargebacks and refunds.
7 Ways New Engineers Can Flourish in the Age of AI
This IEEE Spectrum career piece offers seven tips to help new engineers thrive in an era where AI is not optional. The central message is that the most successful engineers treat AI as an advantage rather than competition. The advice ranges from mastering fundamentals and learning to work with AI to building end-to-end projects, sharpening system design, and developing communication skills. It closes by urging engineers to think beyond coding as routine tasks become automated.