Oracle abandons $7 billion Tencent AI deal under Trump pressure, FT reports - Reuters

More in Artificial Intelligence

• A software engineer details how he went from merging eight to 20 pull requests per month to 200+ after joining AI-native creator startup Tano eight months ago (Neil Kakkar/The Pragmatic Engineer)

  Dramatic shifts in development velocity can occur when developers transition into environments tailored around artificial intelligence tools. Published coverage examines how workflow adjustments and modern tooling at an emerging firm enabled a single developer to scale their deployment frequency by more than tenfold. This massive leap in productivity illustrates the tangible operational impact AI-native firms aim to achieve.

  1 min read
• Google ex-CEO says most companies have got thousand employees they don’t need

  Artificial intelligence is poised to dismantle internal coordination bottlenecks, enabling major enterprises to drastically scale back staff dedicated to routine administrative and planning roles. Former tech executive Eric Schmidt highlighted that while automation targets organizational overhead, businesses must approach workforce restructuring humanely. However, deeply entrenched corporate cultures will likely prevent most existing legacy operations from successfully adapting to these technological shifts.

  2 min read
• Verification Is Not Knowledge: Science needs more than answers

  Modern scientific research faces a growing philosophical divide over whether artificial intelligence outputs alone qualify as genuine progress without human comprehension. Critics warn that relying purely on automated, verifiable solutions threatens essential oversight, future researcher training, and institutional accountability. Without conceptual insight, researchers risk trusting flawed methodologies that merely exploit testing weaknesses rather than advancing truth.

  16 min read