Brownstone Research's Ben Lilly compares the current regulatory challenges for open-source AI to Bitcoin's early struggles in 2014. As governments push to restrict open AI models and favor closed, permissioned systems, decentralized AI projects are emerging as a parallel to early crypto networks. Lilly highlights ongoing developments like U.S. export bans and identity verification requirements, predicting that open-source AI will continue advancing and decentralized training will grow, creating new investment opportunities akin to buying Bitcoin in its early days. He argues that attempts to ban open AI will ultimately fail, making this a potentially lucrative moment for investors.
Bitget Wallet has partnered with Robinhood Crypto to integrate Robinhood Chain, an Ethereum Layer 2 network for tokenized real-world assets. This allows Bitget's 90 million users to trade over 90 stock tokens, including major companies like NVIDIA, G...
In the first half of 2026, cybersecurity mergers and acquisitions reached a record 219 deals totaling $9.1 billion, driven by growing enterprise consolidation and the maturation of AI security companies. The market saw a landmark $4.175 billion acqui...
Applied Digital has completed Phase 1 of its second building at Polaris Forge 1, adding 75 MW of AI operational capacity and bringing the campus total to 175 MW. This on-time delivery highlights the company's efficient execution model and ability to ...
VSORA, a French semiconductor company, has strengthened its funding round with Ardian leading the investment to support the commercial launch of its AI inference processor, Jotunn8. This funding validates VSORA's advanced technology and positions it ...
After soaring in the second quarter with a combined $2 trillion gain, major semiconductor stocks including Micron, Intel, and AMD fell sharply at the start of Q3, with Micron dropping 11%, Intel 9%, and AMD 7%. The sell-off followed fears that AI inf...
