Dive masks on — Subnautica 2 is making a splash on GeForce NOW day-and-date with launch, so members can plunge into the title’s brand-new alien ocean from almost any device. It leads 11 new games joining the cloud this week. A limited-time HITMAN World of Assassination reward event brings signature tools of the trade — […]
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OpenAI and Microsoft have agreed to put a ceiling on their revenue-sharing arrangement at $38 billion, a move that effectively loosens one of the tightest corporate partnerships in the AI industry. The cap, first reported by The Information, keeps the existing revenue-sharing terms in place through 2030 but draws a hard line on how much Microsoft can ultimately extract from the relationship. What the deal actually changes Microsoft has poured more than $13 billion into OpenAI since its initial $1 billion investment in 2019. In return, it secured a revenue-sharing arrangement that gave Redmond a significant cut of OpenAI’s earnings, plus exclusive cloud infrastructure rights through Azure. The $38 billion cap means Microsoft’s take has an expiration point. Once cumulative revenue-sharing payments hit that number, the spigot turns off, regardless of how much money
OpenAI's move towards independence could reshape cloud dynamics, fostering competition and potentially altering AI market power structures.
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Teradata has launched its Autonomous Knowledge Platform, a new flagship offering that brings together data, analytics, AI development, agent orchestration, and governance across cloud, on-premises, and hybrid environments.
The target customer is an enterprise that has moved beyond testing AI assistants and is now asking harder questions: which data agents can use, what actions they can take, how much they will cost to run, and who is accountable when something goes wrong.
The company said the platform builds on its existing database engine and governance infrastructure, while adding new capabilities and more tightly integrating existing ones, including AI Studio, the Tera natural-language workspace, Tera Agents, Elastic Compute on Teradata Cloud, and the upcoming Teradata Factory for on-premises AI workloads.
Teradata is entering a competitive market with this. Snowflake, Databricks, Microsoft, Oracle, and Salesforce are all trying to persuade customers that their platforms should beco
Less typing, more tanking. Faster logins mean more time in the gaming action — and this week provides GeForce NOW members with a smoother path straight into the battlefield. Cloud gaming is all about instant access to titles across devices, and the latest GeForce NOW update removes another layer for members jumping into their Gaijin […]
Insider Brief PRESS RELEASE — Applied Digital Corporation (NASDAQ: APLD), a designer, builder, and operator of high-performance, sustainably engineered data centers and colocation services for artificial intelligence, cloud, networking, and blockchain workloads, has announced the closing of a $300 million senior secured bridge facility led by Goldman Sachs. The facility is intended to fund the continued development […]
Microsoft and Google are adding new controls for AI agents, as enterprise IT teams try to keep up with tools that can access corporate data and act across business applications.
Microsoft’s Agent 365, made generally available for commercial customers on May 1, is designed to help organizations discover, govern, and secure AI agents, including those operating across Microsoft, third-party SaaS, cloud, and local environments.
Google’s new AI control center for Workspace, announced this week, focuses more specifically on giving administrators a centralized view of AI usage, security settings, data protection controls, and privacy safeguards within Workspace.
The timing reflects a shift in enterprise AI use. Many companies are no longer just testing chatbots, but are beginning to use agents that can reach corporate systems and carry out tasks on behalf of users.
Analysts said the shift changes how CIOs and CISOs should think about AI agents inside the enterprise.
“By placing agent controls
Over the years, enterprise IT execs have gotten frighteningly comfortable having little control or visibility over mission-critical apps, from SaaS to cloud and even cybersecurity. But generative AI (genAI) and agentic systems are taking that problem to a new extreme, with vendors able to dumb down a system IT is paying billions for without so much as a postcard.
It’s not necessarily that AI changes are made to boost profits or revenue. Even if we accept the vendor argument that such changes are in the customer’s interest, companies still need for their systems to do on Thursday what they did on Tuesday, let alone what they did when the purchase order was signed.
Alas, that is no longer the case.
Consider a recent report from Anthropic that detailed a lengthy list of changes the company made to some of its AI offerings — including one that explicitly dumbed down answers — without asking or telling customers beforehand.
The report describes various changes the Anthropic team made on t
