Skip to main content
  1. Home
  2. Computing
  3. Legacy Archives

It’s Official: Oracle Completes Acquisition of Sun Microsystems

Add as a preferred source on Google
Oracle Logo
Image used with permission by copyright holder

Oracle has announced that it has completed its takeover of Sun Microsystems, concluding a deal values at over $7 billion and which wound slowly through the processes of antitrust regulators in both the United States and the European Union. The deal makes the world’s largest maker of database software into a hardware company which will manufacture servers, storage solutions, and other high-end hardware, as well as take over Sun’s Solaris operating system, Java, and the MySQL open source database.

In a melancholy memo, Sun founder Scott McNealy—who a decade ago famously declared “You have zero privacy anyway, get over it”—complimented Oracle founder Larry Ellison while saying goodbye to his own company. “To be honest, this is not a note this founder wants to write,” McNeally wrote. “Sun, in my mind, should have been the great and surviving consolidator. But I love the market economy and capitalism more than I love my company.”

Recommended Videos

Antirust regulators were concerned that Oracle’s control of MySQL—the most widely-used open source database on the planet—would give Oracle too much control of the database market. However, Oracle was able to convince regulators that MySQL did not directly compete with Oracle’s primary products at many levels, and that the two products could co-exist without difficulty. Oracle ha pledged to continue aggressive development of MySQL. The moves apparently satisfied both U.S. and European regulators, who signed off on the deal. China and Russia, however, have yet to give their approvals.

Geoff Duncan
Former Contributor
Geoff Duncan writes, programs, edits, plays music, and delights in making software misbehave. He's probably the only member…
What happens when AI detectors fail? Researchers say we must be trained to spot fake AI faces
Researchers say spotting AI faces may soon depend more on people than software
Zuckerberg Deepfake

Artificial intelligence has become remarkably good at creating fake human faces. So good, in fact, that the old tricks people relied on - counting fingers, spotting warped earrings, or looking for distorted backgrounds - are quickly becoming obsolete. According to a new study highlighted by the BBC, the next line of defence may not be a better AI detector at all. It might simply be a better-trained human.

Researchers from the University of Aberdeen, working alongside Australia's National University, found that people can dramatically improve their ability to distinguish AI-generated faces from real ones after a relatively short period of structured training. Instead of hunting for obvious visual glitches, participants were taught to recognise subtle patterns that modern image generators still struggle to replicate consistently.

Read more
Google’s new Magic Pointer Play Store listing reveals a Gemini shortcut built for Googlebooks
The unannounced app turns the cursor into a contextual AI tool for search, image creation, and shopping
Plant, Text, Business Card

Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen.

Magic Pointer can send an image to Lens, generate a related image, or surface a shopping action without forcing users to open a separate chatbot. Regular Android devices currently show as incompatible, so the listing offers an early preview rather than a broad release.

Read more
You can stop using AI, but this new report says you probably can’t escape it
A UK survey found that most people feel AI exposure is unavoidable, raising harder questions about consent, privacy, and whether opting out is still realistic
AI Chatbots

More people are trying to use less AI, but avoiding it altogether may already be impossible.

A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.

Read more