Jaron Lanier on parallels between AI and social media

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  Duolingo's DevX AI team built an automated system called AI STR Fix to handle user-reported software defects submitted through its Shake-to-Report feature. Instead of expecting artificial intelligence to generate immediate patches, the tool performs the laborious investigative legwork typically conducted by human engineers. This workflow maps out critical bug context directly within tracking tickets, allowing engineering teams to resolve issues far more rapidly.

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  Engineering teams face significant hurdles when modernizing outdated infrastructure because primary obstacles stem from institutional history rather than coding mechanics. Decades of undocumented business rules, structural platform differences, and informal user habits mean automated tools alone cannot guarantee a functional transition. Without deep operational context from human staff, organizations risk carrying over corrupted logic or breaking essential workflows.

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• UK AI Minister Kanishka Narayan says AI is set to add £55B to £140B to the economy by 2030, below a £400B estimate from a Google-led report touted by officials (Ben Gartside/Wired)

  Official expectations for artificial intelligence's financial contribution to the domestic market have undergone a significant downward revision. Government leadership is now recalibrating long-term growth forecasts away from optimistic industry research to more conservative financial benchmarks. This adjustment reshapes how policymakers assess the tangible benefits of emerging technologies leading into the next decade.

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