A hobbyist Bitcoin miner running a single older ASIC device has successfully mined a complete block worth approximately $270,000. The miner had only a 1 in 180 million chance of solving the block with their 6 TH/s setup. This represents one of the luckiest solo mining events in Bitcoin’s history.
A single Excel error cost JPMorgan Chase over $6 billion. These spreadsheet disasters reveal how simple typos and formula mistakes can lead to catastrophic financial losses. Here’s what we can learn from history’s most expensive Excel blunders.
A French consumer group is suing Apple over higher music streaming prices through the App Store. The lawsuit targets Apple’s commission structure and could challenge the company’s entire Services business model across Europe.
Federal agencies have until December 12 to patch an actively exploited Oracle Identity Manager vulnerability. Evidence suggests attackers may have known about the flaw weeks before Oracle’s October 21 patch.
Australia is implementing a world-first social media ban for children under 16 starting December 10. The policy targets Facebook, Instagram, TikTok, and seven other platforms, with fines up to $49.5 million for non-compliance. But will it actually protect kids?
Despite regulatory concerns, European tech founders are bullish about the region’s prospects. They point to a growing talent advantage as US immigration policies push skilled workers toward Europe instead.
The promise of AI eliminating jobs is misleading. Instead, it’s creating complex layers of invisible human work behind the scenes. Organizations face growing risks from these hidden partnerships between humans and machines.
Europe’s landmark tech regulations are stalling across the board. The AI Act, Digital Services Act, and Digital Markets Act all face delays and potential weakening as US pressure mounts.
Apple is reportedly planning a major shift in strategy for iOS 27 next year. The company will focus on software quality and performance improvements rather than introducing major new features. This marks the first time since iOS 12 that Apple has prioritized stability over new capabilities.
Computer scientists are discovering that even simple learning algorithms can learn to collude on prices without any explicit programming. The problem? This kind of algorithmic price-fixing doesn’t look like traditional collusion, making it incredibly difficult to regulate under current antitrust law
