5 Brutal Truths About What OpenAI’s Torch Acquisition Really Signals

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5 Harsh Realities About The Implications Of OpenAI's Acquisition Of Torch

1. AI Requires Superior Data- Once the old saying was true... AI now requires a memory.

The integration process failed. However, the context was lost, meaning answers receivable cannot offer sustained support for long-term care.

Suggested solution for CEO: Fund memory for patients because current methods are inefficient and provide no value.

2. “Healthcare AI does not work due to ‘Siloed Data’’’, isn’t entirely accurate.

It’s not just about removing silos, but about being able to reason and use AI to gather data across all silos simultaneously.

Suggested solution for CEO: Support data-driven reasoning across EHR systems without impacting the current EHR architecture.

3. “Clinicians do not trust AI” is the incorrect diagnosis.

Rather, clinicians do not trust systems that lack a persistent patient context.

Suggested solution for CEO: Require all clinical contexts be maintained eternally in AI systems. Ever since, all stateless AIs of type A are obsolete and unusable.

4. Therefore, “AI has not been able to Increase Productivity" was to be expected.

AI cannot function as an aftermarket accessory, but it can functionally enhance itself. Therefore, adding AIs without removing other functions only creates workflow bottlenecks and footprints.

Suggested solution for CEO: Provide approval to use an AI only if that AI improves functionality and eliminates those functions within the current system.

5. Therefore, “Large Technology Always Chases After Healthcare” is inaccurate.

However, charting AI’s integration roadmap is no longer the case; this is to build a foundational AI platform from which to work.

Suggested solution for CEO: Make a decision regarding implementing AI in 2026, or you will inherit the decision.

💡Key Takeaway: 

The next potential advantage will not be in smarter models... it will be able to expand on existing experiences using memory as a basis and to use that knowledge to expand or increase an organization’s ability to provide efficient care through research and development of new technologies.