Financial

The U.S. Department of the Treasury (“Treasury”) has been active in the context of the Committee on Foreign Investment in the United States’ (“CFIUS”) and the Outbound Investment Security Program (“OISP”). The main updates relate to: (1) Treasury’s announcement of an intent to launch a Fast Track Pilot Program under CFIUS for Foreign Investors; and

Ever wonder what happens when the future of software meets the sharpest minds in AI—right as acquisition rumors swirl? At the AI+ Expo in Washington, DC, I sat down with Anshul Ramachandran, founding team member at Windsurf (formerly Codeium), just as whispers of an OpenAI buyout electrified the halls.

Ramachandran’s resume reads like a Silicon Valley power

On June 12, 2025 the Securities and Exchange Commission (“SEC”) formally withdrew fourteen outstanding rule proposals issued by the prior administration. Although most observers doubted that the current Commission would adopt these proposals, the SEC’s action confirms that any future rulemaking on these topics must start anew with a new proposal and a fresh opportunity

Cambridge, MA – MIT EmTechAI: Scott Penberthy, Senior Director of Applied AI in the Office of the CTO at Google Cloud, is no stranger to big ideas. In his talk, “New Frontiers in AI Models,” Penberthy offered a sweeping view of how the latest advances in artificial intelligence are reshaping industries, accelerating scientific discovery, and

At the AI+ Expo in Washington, Dr. Eric Schmidt didn’t mince words about the crossroads humanity faces. With the air of a seasoned technologist—and the urgency of someone who’s seen too many sci-fi movies turn into documentaries—he mapped out a future where artificial intelligence is both the world’s greatest opportunity and its most unpredictable threat.

Cambridge, MA – MIT EmTechAI: Ali Farhadi, CEO of the Allen Institute for AI (AI2), is a leading voice for transparency and openness in artificial intelligence. In a field increasingly dominated by closed models and proprietary data, Farhadi argues that only radical transparency-full disclosure of model architecture, training data, and evaluation methods-can build the public