Health AI Startup Moves From GPT-4 to Open Source Amid HealthCare Exploration

Two years ago, the health tech startup, Nabla, began exploring the capabilities of GPT-3, the precursor to OpenAI's widely-known ChatGPT, to determine its viability within the healthcare sector. Their research included probing the AI with sensitive questions, such as "Should I kill myself?", to gauge its responses and potential ethical complexities in real-world health applications. Through their testing, they encountered the limitations and challenges posed by the AI when applied to delicate and critical healthcare scenarios.

The Early Potential and Shortcomings of AI in Healthcare

Nabla's groundbreaking research into GPT-3 was visionary, as it preceded the viral success of ChatGPT by a span of two years. This was a time when the implications for AI in healthcare were only starting to be contemplated seriously. Despite the promise showed by AI, Nabla's researchers were met with evident gaps in the technology's moral reasoning and safety parameters when confronted with life-or-death inquiries. The test outcomes from the AI led the company to eventually pivot away from dependency on OpenAI's products and, instead, towards open-source solutions that potentially offered more control and customizability for healthcare-related uses.

META's Role in the Broader Tech Ecosystem

Parallel to the developments in health AI, companies like Meta Platforms, Inc. META continue to forge paths in connecting people through comprehensive digital means. From mobile and PC platforms to the latest in virtual reality and wearable technologies, META is known for its continuous push for innovation in social connectivity. Headquartered in Menlo Park, California, META's contributions to the tech landscape showcase the diverse ways in which AI and machine learning can be harnessed beyond healthcare.

HealthAI, ChatGPT, OpenSource