Matt Turck is a venture capital investor at FirstMark who has spent over a decade building Data Driven NYC and Hardwired NYC communities with 25,000+ members, while personally creating and maintaining the widely-used MAD (Machine Learning, AI & Data) Landscape that maps the entire ML/AI/data ecosystem. He combines rare experience as both a startup founder (TripleHop Technologies, acquired by Oracle) and corporate venture builder (helped start Bloomberg Ventures) with early conviction bets on foundational data infrastructure companies like Dataiku, Cockroach Labs, and ClickHouse.

• Deep interest in the infrastructure and hardware layers powering the AI boom. Frequently discusses the constraints and opportunities in compute, such as the competition in the semiconductor space between nations and companies like Nvidia, or the need for AI agents to have dedicated, isolated computing environments to run effectively.
• Advocacy for open-source AI and enterprise sovereignty. Argues that large enterprises and governments should control their own intelligence models rather than relying entirely on closed-source providers, frequently citing MistralAI as a prime example of this "own, don't rent" philosophy.
• Enthusiasm for Voice AI as a rapidly emerging sector. Views voice as a previously overlooked modality that is now experiencing a resurgence through rapid innovation and funding, specifically highlighting companies like GradiumAI that are capitalizing on this shift.
• Satirical commentary on the venture capital industry. Regularly posts humorous observations about VC behavior, such as the absurdity of investors chasing hype cycles, the awkwardness of long board meetings, or the tendency for VCs to launch podcasts, acknowledging his own participation in that trend.
• Support for the New York City tech ecosystem. Actively promotes local events like Data Driven NYC and defends the city's status as a tech hub against critics, emphasizing the vibrancy of the local founder community.
• Focus on technical deep dives with subject matter experts. Uses his platform to share long-form conversations with researchers and technical founders, covering complex topics like the future of Transformer architectures, recursive reasoning models, and the specialized compute needed for new AI applications.