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AI labs racing to surpass human intelligence have become the subject of reports that challenges are getting between their models and their mission.

Like everywhere else on the internet, LinkedIn is awash in AI-generated content. It’s a perfect fit. As first reported by Wired, a new study has found that more than half of the posts on LinkedIn were constructed using some form of generative AI. Anyone who has spent any amount of time on LinkedIn won’t be shocked.

AI is undoubtedly a revolutionary tool that offers tremendous benefits in business and law. Yet, its potential risks require a cautious and balanced approach. Responsible adoption will ensure that AI remains a tool for advancement, not a source of unforeseen harm.

Bluesky is already facing its first major AI scrape, despite the stance of its owners that it will never train generative AI on user data.

AI, Elon Musk's AI company, is reportedly preparing to release a standalone consumer app. That's according to The Wall Street Journal, which reports that

There’s been a lot of talk about AI PCs this year, but has it actually delivered on its promise? A new analysis from TrendForce says the significant boost in laptop sales in 2024 has more to do with Windows 11 updates than it does with fancy new AI features.

Uber is using gig workers to get into the AI labeling business, Bloomberg reports. It’s a sign that the ridehail and delivery company is interested in expanding its independent contractor-powered business model to meet the demands of the fast-growing world of machine learning and large-language models.

Fintech entrepreneur Suneera Madhani spoke at the Delegates Dining Room at the United Nations, saying, "My journey in female entrepreneurship...it's been lonely." It was a sobering admission from Madhani,

(Reuters) -Shares of Pony AI opened about 15% above their offer price in their market debut on Wednesday, giving the robotaxi company a valuation of $5.25 billion, in an indication of a positive investor approach to China-based firms.

Only 13% of executives surveyed - fewer than last year - feel ready to capture AI's potential. They lack skilled staff, higher-capacity infrastructures, and AI-ready data.