Citigroup has rolled out mandatory AI training for all 175,000 of its employees across 80 locations worldwide, a sweeping initiative that CEO Jane Fraser describes as helping workers "reinvent themselves" before the technology permanently alters what they do for a living. The $205 billion bank sent out an internal memo last year requiring staffers to learn prompting skills specifically. Fraser told the Washington Post at Davos that AI "will change the nature of what people do every day" and "will take some jobs away." The adaptive training platform lets experts complete the course in under 10 minutes while beginners need about 30 minutes. Citi reported last year that employees had entered more than 6.5 million prompts into its built-in AI tools, and Q4 2025 data shows a 70% adoption rate for the bank's proprietary AI tools.

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OpenAI launched a dedicated team in October called OpenAI for Science, led by vice president Kevin Weil, that aims to make scientists more productive -- but Weil admitted in an interview with MIT Technology Review that the LLM cannot yet produce novel discoveries and says that's not currently the mission. UC Berkeley statistician Nikita Zhivotovskiy, who has used LLMs since the first ChatGPT, told the publication: "So far, they seem to mainly combine existing results, sometimes incorrectly, rather than produce genuinely new approaches." "I don't think models are there yet," Weil admitted. "Maybe they'll get there. I'm optimistic that they will." The models excel at surfacing forgotten solutions and finding connections across fields, but Weil says the bar for accelerating science doesn't require "Einstein-level reimagining of an entire field." GPT-5 has read substantially every paper written in the last 30 years, he says, and can bring together analogies from unrelated disciplines. That accumulation of existing knowledge -- helping scientists avoid struggling on problems already solved -- is itself an acceleration.

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Pinterest said on Tuesday it would trim its workforce by less than 15% and reduce office space, as the social media company looks to reallocate resources to AI-focused roles and initiatives. From a report: The announcement comes as the company competes with TikTok and Meta-owned Facebook and Instagram for digital advertising budgets, as these platforms continue to draw marketers with their extensive user base. Pinterest had 5,205 full-time employees as of September 2025. The latest job cut would translate to less than 780 positions. Top executives at the World Economic Forum's annual meeting said while jobs would disappear, new ones would spring up, with two telling Reuters that AI would be used as an excuse by companies which were planning layoffs anyway. Last week, design software maker Autodesk also announced a 7% job cut to redirect investments to its cloud platform and AI efforts.

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An anonymous reader quotes a report from GeekWire: Microsoft on Monday announced Maia 200, the second generation of its custom AI chip, claiming it's the most powerful first-party silicon from any major cloud provider. The company says Maia 200 delivers three times the performance of Amazon's latest Trainium chip on certain benchmarks, and exceeds Google's most recent tensor processing unit (TPU) on others. The chip is already running workloads at Microsoft's data center near Des Moines, Iowa. Microsoft says Maia 200 is powering OpenAI's GPT-5.2 models, Microsoft 365 Copilot, and internal projects from its Superintelligence team. A second deployment at a data center near Phoenix is planned next. It's part of the larger trend among cloud giants to build their own custom silicon for AI rather than rely solely on Nvidia. [...] The company says Maia 200 offers 30% better performance-per-dollar than its current hardware. Maia 200 also builds on the first-generation chip with a more specific focus on inference, the process of running AI models after they've been trained. [...] Microsoft is also opening the door to outside developers. The company announced a software development kit that will let AI startups and researchers optimize their models for Maia 200. Developers and academics can sign up for an early preview starting today.

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