Google has launched Gemini 4 Hydrogen, an AI model that finishes tasks about 2.5 times quicker than the earlier Gemini 3.8 Flash.
It offers four reasoning levels and aims to speed up routine AI work, coding, and multi-step agent tasks.

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Google has launched Gemini 4 Hydrogen, an AI model that finishes tasks about 2.5 times quicker than the earlier Gemini 3.8 Flash.
It offers four reasoning levels and aims to speed up routine AI work, coding, and multi-step agent tasks.

Google has added two systems to its eighth-generation TPU lineup: the TPU 8tx and TPU 8i Max, aimed at companies running AI agents. It's the first time it has launched four TPU systems in one year.
The 8i Max handles very long inputs and offers the most compute per rack, while the 8tx suits sensitive work that needs confidential processing.
Google says its TPUs now serve close to 100 outside clients, from trading firms to universities. Its AlphaChip and Gemini models are used to produce chip layouts in hours rather than weeks.

The US wants to lead in artificial intelligence, yet it increasingly depends on private firms to assess and control powerful systems. A one-page White House accord signed on September 29 by leaders at OpenAI, Anthropic, Google, Meta, Nvidia and xAI sets no federal legal requirements that can be enforced.
Oversight rests on each company's own controls, safety teams, outside audits and board committees, which matters more as AI enters cybersecurity, intelligence and government work.

Opposition to AI data centres is now a campaign issue in the US midterms. Democrats are targeting Republicans who backed the industry's growth, tying it to higher power bills.
In Texas, James Talarico used that frustration against Republican Ken Paxton, and Democrats are pressing the same case in competitive races in Ohio, Michigan and South Carolina. Residents also raise water use, noise and tax incentives they say bring few permanent jobs.
Meanwhile, Microsoft, Google, Amazon and Meta are spending billions on new facilities for their AI plans.
