ChatGPT’s Pandora’s Box: An Avalanche of AI Startup Copycats
If your idea is so easily copied that you’re reluctant to discuss it, is it truly an original idea? And if you are an investor, why would you invest in a startup built around an idea like that?
The surge in AI startups, driven by recent advancements in Large Language Models (LLM), has resulted in an increasingly saturated market. With numerous emerging AI firms using readily accessible ChatGPT plugins from the OpenAI platform as the foundation for their own products, concerns over intellectual property sharing seem misplaced. If an innovation can be readily duplicated, it likely builds upon pre-existing technologies and should not be misrepresented as original.
Regrettably, this trend has been notably prevalent within healthcare technology. Such practices not only mislead customers and investors, but may also risk regulatory scrutiny. This lack of trust and transparency could potentially undermine confidence in the future of AI in healthcare among both clinicians and patients, which is a serious concern given the enormous transformative potential of AI in this sector.
The recent product announcement by Carbon Health underscores the growing issues of plagiarism and eroding trust within the healthcare industry.
They allege to have created an innovative product, which they call ‘hands-free charting.’ They assert that it “makes doctors’ visits at Carbon Health instantly more personal for patients and efficient for providers”. That sounds great. But what exactly is Carbon Health’s innovation they keep mentioning? They use AWS Transcribe Medical to transcribe the text, and they use GPT-4 to analyze it. I think I’ll start calling myself a master chef — after all, I use a microwave and a stove. 😂
This pattern of plagiarism and dependence on ‘quick fixes’ has hindered significant technological progress in addressing various healthcare crises over the past two decades. These parasitic solutions, lacking true innovation, have contributed to doctors’ aversion to genuine advancements and caused significant delays in delivering real solutions to healthcare.
In my forthcoming Medium story, I will be providing you with a comprehensive analysis and a staggering array of statistics highlighting the crisis in U.S. primary care. We’ll delve into why technology, despite its advancements over the last two decades, has fallen short in alleviating this issue. Moreover, I’ll share my insights on why I firmly believe that AI holds the potential to bring about much-needed resolution to this crisis. So, stay tuned…
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