Google Project Zero says software vendors should prepare emergency mitigation mechanisms for actively exploited vulnerabilities, rather than relying only on faster formal patches. It outlines four approaches: feature flags, input filtering, alternative update channels, and hotpatching, while noting that testing remains necessary.
Skydance said it completed its purchase of Warner Bros. Discovery and renamed the combined company Skydance, now trading on the NYSE as SKYD; WBD shareholders received about $31.02 a share in cash. In a “Day 1” memo, CEO David Ellison and co-CEO Ynon Kreiz listed four priorities, one being to become the most technologically capable company in media by embracing AI to expand what creatives can imagine and make the business more productive. Its streaming products, including HBO Max, Paramount+, Discovery+ and Pluto TV, will merge into a single service over time, with no timetable given.
Agency Agents is a growing collection of AI agent personas that started from a Reddit thread and months of iteration, spanning engineering categories such as frontend, backend, DevOps, security and data, with each agent given its own identity, workflows and deliverables. The project now offers a native macOS, Linux and Windows app that browses the full roster and installs agents into Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Qwen and Osaurus in one click, alongside script-based installs and auto-updates. The repo describes the agents as "production-ready," a claim that comes from the project itself rather than independent testing.
An AWS Machine Learning Blog post proposes an “Agentic Value Model” for building the business case for agentic automation, arguing that the RPA-era ROI formula (hours saved × loaded rate − build cost) misses exception handling, decision quality, and change resilience and maintenance economics. It lays out four value pools and stresses that every benefit needs a defined realization mechanism and an accountable owner. The post cites early deployments of Amazon Quick Automate: Kitsa reports 91% cost savings, 96% faster data acquisition and 96% coverage; dLocal says it automates up to 75% of merchant-compliance reviews in controlled evaluations; and Genpact reports cutting supply-chain disruption analysis from 2–3 days to minutes.
Singapore state-owned investment firm Temasek says an unwinding of the artificial intelligence trade poses the biggest risk to markets. The warning frames AI-related market positioning as a potential source of broader financial volatility.
In an AWS blog post, Qlik detailed the architecture behind Qlik Answers, its enterprise question-answering product: employees ask in natural language and get sourced answers drawn from knowledge bases, live analytics apps, glossary definitions or documents, across more than 40,000 customers and 11 Regions. The system is split into entry, routing, answer, specialist-agent, conversational-analytics, retrieval (Amazon OpenSearch Service) and model-access layers; model calls go through Qlik's own LLM gateway to Amazon Bedrock, with Bedrock Guardrails applying content filtering and contextual grounding validation to every request and response, and Amazon SageMaker AI hosting models not yet available in-Region. Qlik says that since February 2026 general availability its Discovery Agent has surfaced over 100,000 discoveries, that most Qlik Cloud accounts with agentic tools enabled keep using them, and that customer Lintech International saw 75% faster responses and up to 7 hours per week returned to managers — all figures reported by Qlik itself.
An AWS Machine Learning Blog post walks through automating fixes after an AWS DevOps Agent investigation. Amazon EventBridge picks up the investigation-completed event, triggers an AWS Lambda Durable Function, and Amazon Bedrock proposes remediation actions drawn from a curated allowlist of purpose-built Lambda tools; read-only tools run autonomously while infrastructure-changing actions suspend for human approval. The demo scenario increases an undersized Lambda function timeout.
In an AWS Machine Learning Blog post, Amazon Web Services describes a six-week program that pairs non-engineering business staff with mentors and production-grade tools—Kiro, Amazon Bedrock, Strands Agents SDK and AWS Lambda agents—for about four hours a week, ending in a working prototype. A team of four customer-facing employees with no engineering background built WealthWise, a multi-agent financial advisory prototype with five agents (portfolio analysis, risk assessment, financial planning and more), a dual-server Node.js and Python Flask architecture, four DynamoDB tables and, the team says, sub-5-second responses for complex reasoning; it took first place in the demo judging. AWS reports that self-rated “strong or expert” understanding of agentic AI rose from 27% to 82% among participants, and readiness to identify AI opportunities from 41% to 85%.
National Compute CEO Anjney Midha told Bloomberg's Open Interest that the company plans to turn AI infrastructure into a shared national grid, opening powerful chips to students, researchers and startups across the country. The source gives no funding, chip partners, capacity figures or timeline for the effort.
Cornerstone OnDemand's Enterprise DataOps team built Orion AI, a multi-agent system on Amazon Bedrock and AWS's open-source Strands Agents framework, using a hub-and-spoke topology in which a meta-orchestrator routes work to 13 domain-specific agents, including three SQL Server diagnostics agents. According to the AWS blog post, database diagnosis time fell from about 45 minutes to 10 minutes per incident (a 78% reduction), manual lifecycle steps dropped roughly 70%, SRE-to-data-team reporting lag went from 15 minutes to real time, and redundant alerts fell by a median of 65%. A three-person team delivered the system in six months on Amazon ECS, with Amazon Bedrock AgentCore providing cross-session memory.
At a panel hosted by The Information's AI Agenda Live, executives from Nebius, NVIDIA and Uber discussed how they are optimizing compute as agentic workflows threaten to multiply token consumption. Nebius CRO Marc Boroditsky said the company tailors optimizations in its Token Factory inference platform to each customer's goals—speed, reliability, quality or price—using techniques such as speculative decoding, where smaller models predict likely next tokens that a larger model verifies in bulk, tuned with the customer's own traffic. NVIDIA's Dion Harris pointed to a Dynamo feature that locates already-computed data in a cluster's KV cache so teams avoid recalculating it, while Uber infrastructure VP Mattie Toia said its token costs have stabilized despite growing agentic use, helped by caching pushed down to individual sub-agents and by giving engineers visibility into their own usage; Uber also built an internal "context graph" of roughly 24 million nodes that cut query times from 20 minutes to 30 seconds.
Impeccable is an open-source design-language skill for AI coding agents by pbakaus, described as building on Anthropic's frontend-design skill for Claude to counter the same SaaS-template look models tend to produce. It ships one skill, 24 commands (init, audit, critique, polish, live and more) and 60 deterministic detector rules that the CLI and browser extension run with no LLM or API key. Install is via npx impeccable install, with support for Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Grok Build, Hermes Agent and others; some harnesses require preview channels or manual hook trust.
Omnigent is an open-source AI agent framework and "meta-harness" that, per its project documentation, mixes Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and user-defined YAML agents in the same session, with sessions that follow you between terminal, browser, phone and a macOS desktop app. The README also claims support for first-party API keys or Claude/ChatGPT subscriptions, cloud sandboxes such as Modal, Daytona, E2B and Kubernetes, and policies that pause for approval, cap spend or limit tool access, plus session sharing for teammates. The repository is currently listed on GitHub Trending for Python.
AI tools are lowering the cost and speeding up production of animated short dramas, but they are also rapidly expanding supply and intensifying competition. The article argues that profitability still depends on story selection, script and storyboard decisions, distribution, cost control, and the ability to absorb failed projects; industry figures cited in the report suggest uneven returns across companies.
The open-source project "AI Engineering from Scratch" has appeared on GitHub's Python trending list. It describes 20 phases, 523 lessons and roughly 342 hours of material in Python, TypeScript, Rust and Julia, released free under an MIT license, with each lesson having learners implement algorithms such as backpropagation, tokenizers, attention and the agent loop from raw math before running the same thing through production libraries like PyTorch. It also offers focused Model Context Protocol (MCP) and Agent Skills routes plus preparation for Claude certification tracks, and can be installed as learning skills for coding agents including Codex and Claude Code.
Security vendor Island published a report describing a phishing campaign in which attackers impersonate ChatGPT, Gemini, Claude, Perplexity, Manus and other major AI brands, advertising fake “AI marketing tools” that prompt agency staff, media buyers and manager-account admins to connect their Google account. Clicking “connect” launches a browser-in-the-browser (BitB) phishing page with a live human operator who fakes mistyped-password errors and chooses which MFA screen the victim sees, harvesting credentials and one-time codes. The lures target advertising accounts specifically because they carry stored payment methods, approved budgets and, for manager accounts, access to multiple client accounts; the campaign was still running and had not been disrupted when the researchers wrote the report.
A report says Hon Hai Technology Group and Foxconn Industrial Internet are benefiting from surging AI-server demand, alongside their established Apple manufacturing business. Foxconn Industrial Internet reported strong 2025 revenue and profit growth, while its cloud-computing business and AI-server sales became major growth drivers, according to the cited financial disclosures.
An analysis argues that OpenRouter’s rankings measure token volume routed through one intermediary rather than global developer preference, and that prices, discounts, free access, batch jobs and self-testing can heavily influence the results. It also questions the comparability of Artificial Analysis scores and ARC-AGI results when test composition, weighting, scoring anchors, interfaces and versions change.
Amazon's "About You" page has become a social media hit over the personal traits it infers about shoppers, with users sharing entries such as "has flat buttocks," "cannot keep real plants alive" and "does not trust people easily," and at least one incorrect detail. Launched on 13 May, the page draws on purchase history, searches, saved lists, product reviews and conversations with the Alexa for Shopping assistant, and shoppers can view, edit or delete each item under Shopping preferences in their account settings or ask Alexa, "What do you know about me?" Most entries are generic and some are wrong.
Paul Graham said that after talking with Amjad he realized Replit is more important than he had previously thought, because it is the way AI pervades organizations. He argued that organizations can become somewhat aligned with AI by using AI-powered apps, but the deepest change takes the form of code. Replit reshared the remark on X; the posts contain no product announcement, metrics or technical details.