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NVIDIA Begins Hand-Delivering Its First Custom CPU 'Vera' to OpenAI, Anthropic, and Other Top AI Labs

NVIDIA Begins Hand-Delivering Its First Custom CPU 'Vera' to OpenAI, Anthropic, and Other Top AI Labs

May 19, 2026
NVIDIA Blog

NVIDIA is hand-delivering its first custom CPU, Vera, to top AI labs including OpenAI, Anthropic, and SpaceXAI, featuring 88 custom Olympus cores and 50% faster per-core performance designed for agentic AI workloads, with Oracle Cloud Infrastructure set to deploy hundreds of thousands of units at hyperscale starting in 2026.

MAGA Allies Including Steve Bannon Push Trump to Mandate AI Testing and Government Approval Before Public Release

MAGA Allies Including Steve Bannon Push Trump to Mandate AI Testing and Government Approval Before Public Release

May 19, 2026
Axios

Over 60 MAGA allies, including Steve Bannon, are pushing President Trump to require mandatory government testing and approval of powerful AI models before public release, directly clashing with the White House's current hands-off regulatory approach and warning that unchecked frontier AI could enable bioweapons, infrastructure attacks, and financial market manipulation.

Global AI Spending Surges Toward $2.59 Trillion By 2026 As Enterprises Flood The Market But ROI Remains Elusive

Global AI Spending Surges Toward $2.59 Trillion By 2026 As Enterprises Flood The Market But ROI Remains Elusive

May 19, 2026
The Deep View

Global AI spending is surging toward $2.59 trillion by 2026 — a 47% year-over-year increase — as enterprises flood the market with agentic automation investments, but CIOs are struggling to prove ROI, with analysts warning that misalignment between AI initiatives and strategic business goals remains the critical obstacle.

New 1B Parameter AI Model Slashes Pretraining Costs to Just $1000 With Hierarchical Recurrent Architecture

New 1B Parameter AI Model Slashes Pretraining Costs to Just $1000 With Hierarchical Recurrent Architecture

May 19, 2026
GitHub

A new 1B parameter AI model called HRM-Text is making foundation model pretraining accessible to nearly anyone, requiring up to 900x less data and 600x less compute than traditional methods, bringing full pretraining costs down to roughly $1000 using a hierarchical recurrent architecture with strong benchmark performance across GSM8k, MATH, …

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