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AWS nabs white hot gen AI media creation startup fal, becoming its preferred cloud provider

Generative AI’s rapid transition from text-based chatbots to high-fidelity media—spanning images, video, spatial 3D, and audio—has exposed a glaring bottleneck in the modern tech stack: infrastructure. Rendering pixels in real-time requires a staggering amount of compute, and developers are increasingly struggling to manage fragmented GPU clusters just to keep their applications online. Enter fal, a …

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Claude agents can finally connect to enterprise APIs without leaking credentials

The reason enterprises have been slow to connect AI agents to internal APIs and databases isn’t the models — it’s the credentials. In most production deployments, the agent carries authentication tokens with it as it executes tool calls, which means a compromised or misbehaving agent takes the keys with it. Anthropic is addressing that problem …

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Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.

For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its annual I/O developer conference, Google announced a sweeping redesign of …

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Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money

Google on Tuesday unveiled Gemini Spark, a personal AI agent designed to work around the clock — drafting emails, assembling documents, monitoring inboxes, and eventually making purchases — even when a user’s laptop is closed and their phone is locked. The announcement, made at Google I/O 2026, is the company’s most ambitious attempt yet to …

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Google unveils Gemini Omni ‘any-to-any’ AI model: what enterprises should know

Although it was already discovered by intrepid AI power users weeks ahead of the official unveiling today at Google’s annual I/O developer conference, the company’s new Gemini Omni model marks a significantly new paradigm in the wider AI and tech marketplace. That’s because as its “omni” (from the Latin omne — meaning “all”) prefix would …

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Google says Gemini 3.5 Flash can slash enterprise AI costs by more than $1 billion a year

Google unveiled Gemini 3.5 Flash at its annual I/O developer conference on Tuesday, a new artificial intelligence model that the company says shatters what had become a seemingly iron law of the AI industry: that the smartest models must also be the slowest and most expensive to run. The model sits at the center of …

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OpenAI co-founder Andrej Karpathy announces he’s joining Anthropic

Andrej Karpathy, the influential 39-year-old Slovak-Canadian AI researcher and one of the original 11 co-founders of OpenAI, and former head of Tesla’s AI division, announced on Tuesday, May 19 that he’s joining rival lab Anthropic. As Karpathy posted from his account on the social network X: “Personal update: I’ve joined Anthropic. I think the next …

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Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits

Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is harder to solve: production AI agents failing not because the models are wrong, but because the data underneath them is scattered, stale and structured for humans rather …

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Four AI supply-chain attacks in 50 days exposed the release pipeline red teams aren’t covering

Four supply-chain incidents hit OpenAI, Anthropic and Meta in 50 days: three adversary-driven attacks and one self-inflicted packaging failure. None targeted the model, and all four exposed the same gap: release pipelines, dependency hooks, CI runners, and packaging gates that no system card, AISI evaluation, or Gray Swan red-team exercise has ever scoped. On May …

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LangSmith Engine closes the agent debugging loop automatically — but multi-model enterprises still need a neutral layer

Enterprises building and deploying agents have a problem: it’s taking their engineers too long to find out that an agent made a mistake, and the loop has continued to perpetuate, especially without a human at every step.  LangSmith, the monitoring and evaluation platform from LangChain, launched a new capability in public beta that could make …

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