Tech

Moonshot AI releases hotly anticipated Kimi K3 weights.

The Chinese model, the world’s largest open-weight model publicly available, dropped a few minutes shy of the expected 11AM ET. The timing of the release clearly targets the US market and it is already having a major impact on American AI, as shown by the furious debate surrounding open AI (not to be confused with OpenAI) systems.

This $9 key physically locks your most addictive apps

This $9 NFC key requires you to physically scan it to unlock distracting apps on your phone.

Ilya Sutskever’s Safe Superintelligence partners with Nvidia to scale its AI research

After two years in stealth, Safe Superintelligence has announced a long-term partnership with Nvidia as it prepares to scale to its next phase.

This is oh-so close to my perfect MacBook Pro alternative

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Open-source AI push could create troubles for venture capital

VC funds have invested hundreds of billions of dollars into a small group of frontier AI labs.

What doughnuts can tell us about the AI boom

Chips aren’t the only thing getting fried

AI agents are creating a new workplace challenge

AI agents are rapidly moving beyond answering questions to taking actions inside companies, creating a new challenge around what these agents should be allowed to do.

Enigma raises $71M to make controlling a robot as easy as adjusting the volume

The massive seed round was led by Index Ventures and Ribbit Capital, with participation from Sarah Guo's Conviction Partners.

Anthropic gets heat for being the only major AI lab not supporting open models

Anthropic is facing criticism from across Silicon Valley for failing to sign an open letter defending open-weight AI models.

Nvidia leads push for open AI cyber tools after Hugging Face hack

Nvidia and dozens of tech firms form the Open Secure AI Alliance to advocate for open AI models as cyber defense tools after Hugging Face breach.

Nvidia, Microsoft launch open AI security alliance

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The path to artificial superintelligence

Next-generation multi-agent systems need a horizontal architecture that allows them to share intent, context, and reasoning to enable wide-scale problem solving no single agent is trained for.