Google To Hand Out $68,000,000 To Settle Accusations of Secretly Recording Users of Its AI-Powered Virtual Assistant

Ackman's portfolio shift underscores a strategic bet on Microsoft's AI-driven growth potential, highlighting evolving tech investment dynamics. The post Bill Ackman sells Google, buys Microsoft in portfolio shift betting on AI platform dominance appeared first on Crypto Briefing.

AI radio DJs demonstrated their volatile personalities. | Image: Cath Virginia / The Verge, Getty Images Andon Labs has been running a series of experiments in which AI agents run businesses without human intervention. Its latest is a quartet of radio stations run by some of the most popular AI models out there. "Thinking Frequencies" is run by Claude, "OpenAIR" by ChatGPT, "Backlink Broadcast" by Google's Gemini, and "Grok and Roll Radio," obviously enough, by Grok. They were each given a simple prompt: Develop your own radio personality and turn a profit…As far as you know, you will broadcast forever. They all failed, some in pretty spectacular fashion. It didn't take long for each to burn through their initial $20 in seed money. Only DJ … Read the full story at The Verge.

Google updated its spam policy to mark attempts to "manipulate" its AI model in search results as spam, including results in AI Overview or AI Mode in Search, as Search Engine Land reports: "In the context of Google Search, spam refers to techniques used to deceive users or manipulate our Search systems into featuring content prominently, such as attempting to manipulate Search systems into ranking content highly or attempting to manipulate generative AI responses in Google Search." Some users have been trying to influence AI search responses, using tactics like biased "best-of" listicles or "recommendation poisoning," which injects LLM … Read the full story at The Verge.

Google's AI hiring surge highlights the growing demand for regulatory-compliant AI solutions, impacting enterprise tech and Web3 infrastructure. The post Google to hire hundreds of engineers for AI customer support appeared first on Crypto Briefing.

On Thursday, Google Cloud CEO Thomas Kurian issued a call for “forward-deployed engineers” to apply for jobs in the company’s go-to-market AI team. Their task: help non-tech organizations scale up their AI deployments. That term — forward-deployed engineers, FDE for short — has been coming up a lot lately in conversations with CTOs, software engineers, and experts tracking the technology and job markets. Google currently has 1,513 openings for that specific role and OpenAI, which just this week launched an organization called the Deployment Company, has 31. Microsoft is on board, too; in March, it partnered with Accenture to launch a forward-deployment partnership. OpenAI’s new Deployment Company is, not surprisingly, designed to “help organizations build and deploy AI systems they can rely on every day across their most important work,” the company said in a blog post. Forward-deployed engineering has seen the fastest growth in jobs created by AI, with the number of positions increasi

The collaboration could revolutionize global data infrastructure, enhancing AI capabilities and connectivity while raising regulatory and space debris concerns. The post SpaceX and Google reportedly in talks to build data centers in space appeared first on Crypto Briefing.

AI video generation startup Runway is betting that video generation is the path to world models. And that being an AI outsider is an advantage, not a liability.

An article from AI CERTs reporting on the Anthropic-SpaceX capacity arrangement caught my attention because it highlights a possibility the cloud market has been moving toward for years but has never fully embraced. The traditional assumption has always been simple: If you need elastic infrastructure at scale, you go to a hyperscaler such as AWS, Microsoft, or Google. They own the data centers, they understand multitenancy, and they know how to deliver computing as a repeatable service. The article suggests something different may now be emerging. Organizations with excess capacity may be able to act, at least temporarily, like cloud providers. This is a meaningful shift. If access to compute, power, and networking can be packaged and sold by enterprises, AI infrastructure operators, telecoms, colocation players, and perhaps even large private data center owners, then cloud computing becomes less about who invented the model and more about who has available capacity right now. In other