#ai-hype-and-predictions

#ai-hype-and-predictions

Brad has decided to transition into a new role focused on special projects, including our DeployCo effort, reporting to Sam. He's been our go-to for complex deals and investments across the company.

Four terabytes of data have reportedly been stolen, including database records and source code. Allegedly stolen data has been published on a leak site, containing Slack information, internal ticketing data, and videos of conversations between Mercor's AI systems and contractors.

The savings disappear the moment you hit real-world complexity. Disparate data sources and messy inputs, ambiguous situations without clear rule sets, or actually any domain where the rules aren't already obvious. And someone still has to write all those rules.

On January 28th, a 30-person U.S. startup called Arcee AI released Trinity Large, a 400-billion-parameter sparse Mixture of Experts model that challenges Meta's Llama 4 Maverick and Chinese models like Z.ai's GLM-4.5. Trained in just six months for $20 million using 2,048 NVIDIA Blackwell B300 GPUs, Trinity represents a significant achievement in democratizing frontier-grade model development. What sets Trinity apart is its commitment to the Apache 2.0 license-a truly open-source alternative to Meta's proprietary Llama license.