thenextweb
a16z has raised $1.1bn to invest in the physical layer of AI

Andreessen Horowitz has closed a $1.1bn fund that will invest exclusively in hardware. The Machine Age Fund, announced on Friday, covers the physical layer artificial intelligence runs on, from chips to the buildings that house them. The mandate takes in chips, memory, networking and storage, and then keeps going. Complete systems qualify too, defined broadly […]<br /> This story continues at The Next Web [...]

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venturebeat
Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Match Score: 87.50

venturebeat
57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?

An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]

Match Score: 59.88

venturebeat
One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it

Just two months ago, researchers at the Data Intelligence Lab at the University of Hong Kong introduced CLI-Anything, a new state-of-the-art tool that analyzes any repo’s source code and generates a [...]

Match Score: 50.05

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 47.67

venturebeat
Enterprises with AI context layers report agent failures at more than twice the rate of those without one

A company builds a governed context layer specifically to stop its AI agents from confidently giving wrong answers. Once that layer is live, the company is more than twice as likely to report the fail [...]

Match Score: 47.50

venturebeat
AI agents keep giving confident wrong answers. The context layer is enterprise AI's next production problem.

Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces differe [...]

Match Score: 47.26

venturebeat
Nvidia's agentic AI stack is the first major platform to ship with security at launch, but governance gaps remain

For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]

Match Score: 45.15

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 45.04

thenextweb
a16z is backing Runta, a startup that wants to ‘parent’ your AI agents

AI agents can now book travel, write code and spend money on your behalf. That power is also the problem. A new startup called Runta has raised $20 million to keep those agents from doing damage. Andr [...]

Match Score: 43.37