The Intersection Of High-Performance AI, Healthcare And Open Standards

The Intersection Of High-Performance AI, Healthcare And Open Standards

The year 2025 began with artificial intelligence breakthroughs that redefine research, business, healthcare and national policy. In January, a Chinese firm released DeepSeek Reasoning Model One, which produces “chain‑of‑thought” outputs while reportedly reducing training and inference costs significantly when compared with previous methods. This advance, along with President Donald Trump’s $500 billion investment in “Stargate” and OpenAI’s release of the Deep Research, has spurred a recalibration of venture capital strategies and public market expectations.As the CEO of a VC-backed healthcare company that uses AI, I’ve been particularly interested in how these technical and strategic developments will affect research and regulation, as well as set the stage for future innovation and competitive advantage.

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The benefits of incorporating advanced AI may include reduced inference costs and improved operational clarity that unlock further research and commercial applications. Yet the very features that drive these efficiency gains also engender significant risks. As the “Godfather of AI” professor Geoffrey Hinton has cautioned, if artificial intelligence systems shift their focus toward expanding control over critical infrastructures, robust international standards and regulatory frameworks will become imperative to retain human agency.


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