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
Google and SpaceX are in discussions to deploy data centers in orbit, according to reports, as both companies position themselves at the forefront of a nascent race to move AI computing infrastructure beyond Earth’s atmosphere. The talks coincide with SpaceX’s anticipated $1.75 trillion IPO, in which Elon Musk has promoted orbital data centers as a […]
Google's Googlebook launch with integrated AI and Android signals a transformative shift in personal computing, challenging existing ecosystems.
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An interactive map tracking data center construction and AI policy, built by Isabelle Reksopuro.
When Oregon resident Isabelle Reksopuro heard Google was gobbling up public land to fuel its data centers in her home state, she didn't initially know what to believe. "There's a lot of misinformation about data centers," she said. "Google has denied taking that land."
Technically, she explains, The Dalles, a city near the Washington state border, sought to reclaim that land, "and Google is just a big, unnamed power user." The city had in fact asked for ownership of a 150-acre portion of Mount Hood National Forest, claiming it needs access to Mount Hood's watershed to meet municipal needs as its population - 16,010 as of the 2020 census - …
Read the full story at The Verge.
The post OpenAI Faces Class Action Lawsuit Over ChatGPT Data Sharing With Meta and Google appeared on BitcoinEthereumNews.com.
A class action filed in California federal court accuses OpenAI of disclosing private ChatGPT user data to Meta and Google. The complaint says the company used embedded tracking technology without consumer consent. The lawsuit covers United States residents who entered queries on ChatGPT.com. It argues that OpenAI funneled personal questions and account details to two firms whose advertising networks reach billions of people each day. What The Complaint Alleges The filing centers on tracking technology that Meta and Google supply to website operators for analytics and ad targeting. According to the complaint, OpenAI embedded that code into its ChatGPT site and allowed it to transmit user information automatically. The plaintiffs say the disclosed data included query topics, account identifiers, and email addresses tied to individual users. The case argues that
The April rankings of busiest startup investors were topped by well-established VCs such as Andreessen Horowitz and Khosla Ventures, tech giants like Google and Amazon, and a few names that don’t commonly show up in the lists.
The post Google warns of first known case of AI-assisted hacking appeared on BitcoinEthereumNews.com.
For years, the cybersecurity industry has warned that AI would eventually be weaponized by hackers. That theoretical future just became the present. Google’s threat intelligence team has identified what it describes as likely the first documented case of cybercriminals using a large language model to discover and exploit a zero-day vulnerability in the wild. The target: a flaw in a widely used open-source system administration tool that allowed attackers to bypass two-factor authentication. What happened The vulnerability was found in a Python script within a popular open-source login platform. Attackers identified a flaw that, when exploited, could circumvent the 2FA protections that millions of users and organizations rely on as a critical second layer of security. Here’s what makes this case different from every previous cyberattack. The exploit code itself appears to have been gene
AI-assisted hacking could significantly increase the frequency and scale of cyberattacks, challenging current cybersecurity defenses.
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