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Samsung thinks Claude Code can help it boost chip design — but admits the AI still makes some worryingly big mistakes
By Rahim Amir Published
A different kind of numbers game

"Unlicensed, unrestricted AI training could destroy the ecosystem for books" — quote of the day by the Authors Guild
By Keumars Afifi-Sabet Published
Many of today's widely used AI systems have been trained on material sourced from books

'Same compute, fewer resources - More compute, same energy': AMD says it is on track to make AI four times more energy efficient
By Rahim Amir Published
AMD says two of its 2030 racks will match 570 from 2024 using twenty times less power and reducing carbon intensity by twenty-eight times.

Trump warns communities opposed to data centers are “making a mistake” — but Texas Gov. Greg Abbott says data centers “got the backlash they deserve”
By Benedict Collins Published
Data center opposition is quickly becoming a people versus President issue, but Trump says those opposed to data centers are making a mistake.

Why accurate weather forecasting is still so difficult — and why real-time data matters
By Alexander Matveenko Published
AI is making forecasts faster, but even the most advanced models can struggle to predict rapidly changing local weather accurately.

'Instinct becomes the backup plan instead of the default': How marketers can beat data overload to make better decisions
By Owain Williams Published
I spoke to Tara Robertson from Bitly to get her insight into how marketers can better use their data

'I'm embracing it': Dr Dre outs himself as a pro-AI producer
By Tom Bedford Published
Dr. Dre has admitted he uses AI in his music producing, despite most music streaming services trying to ban the stuff.

Why scaling AI requires a new economic strategy
By David Villalón Published
Moving past simple model routing to fix enterprise AI's scaling and budget challenges.
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