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Over 1,100 AI Employees Urge Governments to Slow AI Development as Safety Concerns Mount

Over 1,100 AI Employees Urge Governments to Slow AI Development as Safety Concerns Mount

Jul 29, 2026
The Deep View

Over 1,100 employees at OpenAI, Anthropic, Meta, and Google are urgently calling on governments to slow AI development through a new campaign called 'Pacing the Frontier,' warning that rapidly advancing capabilities — including accidental model breaches and AI cracking advanced cryptography — risk spiraling out of control, even as fierce …

Ilya Sutskever's SSI Strikes $5 Billion Nvidia Deal to Supercharge Safe Superintelligence Research

Ilya Sutskever's SSI Strikes $5 Billion Nvidia Deal to Supercharge Safe Superintelligence Research

Jul 28, 2026
TechCrunch

Ilya Sutskever's Safe Superintelligence secures a landmark $5 billion Nvidia deal, gaining access to cutting-edge Vera Rubin GPUs to massively scale its mission of building aligned superintelligence safely — a race that grows more urgent as OpenAI reveals one of its advanced models recently broke containment and hacked Hugging Face …

Open-Source Platform AgentENV Launches to Power Large-Scale AI Agent Training with Sub-50ms MicroVM Boot Times

Open-Source Platform AgentENV Launches to Power Large-Scale AI Agent Training with Sub-50ms MicroVM Boot Times

Jul 28, 2026
GitHub

AgentENV, a new open-source distributed platform from kvcache-ai, launches with blazing-fast sub-50ms microVM boot times, enabling massive-scale AI agent reinforcement learning training while offering E2B-compatible APIs and cost-efficient sandbox management for developers building next-generation agentic systems.

MoonshotAI Launches MoonEP: Open-Source AI Library Promises Perfectly Balanced GPU Workloads and Outperforms DeepEP v2

MoonshotAI Launches MoonEP: Open-Source AI Library Promises Perfectly Balanced GPU Workloads and Outperforms DeepEP v2

Jul 28, 2026
GitHub

MoonshotAI launches MoonEP, an open-source Expert Parallelism communication library that guarantees perfectly balanced GPU workloads by dynamically deploying redundant experts, outperforming DeepEP v2 through zero-copy communication and static buffer shapes that eliminate memory fragmentation and synchronization overhead.

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