Artificial Intelligence (AI)
Latest about Artificial Intelligence

IBM unveiled its Deep Blue chess supercomputer prototype 30 years ago today
By Mark Tyson published
On November 5, 1995, IBM took the wraps off its Deep Blue prototype, a supercomputer designed to beat the world’s greatest chess players.

White House senators lobby for SAFE Chips Act, which would limit leading-edge AI chip exports to China
By Anton Shilov published
No Blackwell and MI355X for China: H20 and MI308, but for how long?

Amazon launches Trainium3 AI accelerator, competing directly against Blackwell Ultra in FP8 performance
By Anton Shilov published
Premium Amazon's Trn3 Gen2 UltraServer beats Nvidia's GB300 NVL72 in FP8.

AI gadget makers are chasing problems that don't exist, Logitech CEO says — also details supply chain and pricing strategy
By Luke James published
Logitech chief executive Hanneke Faber used an interview with Bloomberg, marking her second anniversary in the role, to question the rush toward standalone AI hardware.

Nvidia lobbies White House and reportedly wins loosened AI GPU export control to China
By Anton Shilov published
The U.S. House shelved the GAIN AI Act, blocking a rule that would have forced AMD and Nvidia to put U.S. buyers ahead of China for advanced GPUs, though Beijing's own limits blunt the impact.

Google's Agentic AI wipes user's entire HDD without permission in catastrophic failure
By Jowi Morales published
A user used Google Antigravity to build an app, but it ended up deleting their entire D: drive instead of just their project's cache folder.

OpenAI declares ‘Code Red’ as Google’s Gemini AI outpaces ChatGPT in industry benchmarks, report claims
By Jowi Morales published
OpenAI's Sam Altman announced in an internal memo that the company is in 'Code Red' status, putting every other project on the backburner in favor of ChatGPT.

Nvidia’s TiDAR experiment could speed up AI token generation using hybrid diffusion decoder
By Luke James published
Premium Nvidia has released a paper describing TiDAR, a decoding method that merges two historically separate approaches to accelerating language model inference.
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