Krzysztof Śmiałowski / Software & AI
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27 October 2026

Apple unveils 14-inch MacBook Pro with M6 - up to 30% faster graphics, starting at $1,999

Apple has unveiled a new 14-inch MacBook Pro with the M6 chip. The company says it delivers up to 30% faster graphics than the M5 model and runs AI workloads up to 25% faster. Memory bandwidth rises from 153 to 170GB/s, but only on the 24GB and 32GB configurations. Beyond that, the only new features are Wi-Fi 7 and Bluetooth 6. The laptop starts at $1,999, with pre-orders opening October 28. On the same day, Apple is expected to unveil a redesigned MacBook Pro with more powerful chips, 9to5Mac reports.

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Chinese film billed as the first fully AI-generated movie grosses $181,000 on a $1.5 million budget

"Sanxingdui: Future Past," billed as China's first fully AI-generated movie, grossed about $181,000 at the box office on a budget of roughly $1.5 million, Digital Trends reports, citing Futurism. It opened on more than 10,000 screens, averaging about $18 per screen. AI generated the characters, voices and backgrounds, but nearly 100 people worked on the film for more than two years. By comparison, "Niu Lai," an animated film a mother and son made for about $200, has earned nearly $10 million.

iOS 27.2 brings household profiles to Apple TV and suggestions to Messages

iOS 27.2 will be released next week and will change six Apple apps, 9to5Mac reports. Messages will suggest actions based on the conversation, such as adding an event to your calendar (the Suggested Actions feature), Apple TV will get profiles for household members, and FaceTime will show the front and rear cameras at the same time in group calls too. The Home, Podcasts and Games apps are also getting new features.

Replit CEO: an AI agent analyzes customer tickets first, and a human decides on the fix

Amjad Masad, CEO and co-founder of Replit, said at TechCrunch Disrupt in San Francisco that his company has completely changed how it operates over the past year and that the closest analogy today is a “self-driving company,” where AI agents do much of the work. A support ticket is first analyzed by an agent that reviews GitHub issues, the codebase and Linear tickets, and the employee gets a complete analysis, decides what to do next and can hand the fix to another agent with a single click. The team now spends more time on architecture and on deciding what to build, and according to Masad, human judgment and taste will be needed in the process for a long time.

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