Rashaud Senior, MD

Family Med. Clinical Informatics. From Mount Vernon, NY. Data is power.

[Rashaud Senior, MD @RSeniorMD]

Clinical informatics is the field focused on how health information, technology, and clinical workflows interact. And how those interactions affect care quality, safety, equity, and the clinician experience.

[Nav Toor @heynavtoor]

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.

You thought it was you. It is not you.

Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.

Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.

The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.

Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.

What remains is the average. The safe. The expected. The bland.

Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.

They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.

The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."

The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.

This is not a prediction anymore. It is a diagnosis.

The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.

Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

[Rashaud Senior, MD @RSeniorMD]

@Dr_Warhel I couldn’t fall asleep from the excitement

[Rashaud Senior, MD @RSeniorMD]

I'm planning to (finally) be more intentional about sharing about my field, including evidence-based insights, research summaries, real-world examples (esp in primary care), and practical implications of tech, AI, and policy in medicine. Definitely looking forward to dialogue!

[Rashaud Senior, MD @RSeniorMD]

Clinical informatics is the field focused on how health information, technology, and clinical workflows interact. And how those interactions affect care quality, safety, equity, and the clinician experience.

[Rashaud Senior, MD @RSeniorMD]

When health technology fails, it’s often not due to software bugs.
It’s due to mismatches between human cognition, clinical work, and system design.

[Rashaud Senior, MD @RSeniorMD]

@Dr_Warhel @NYCHealthSystem Congrats!!

[Ge Bai @GeBaiDC]

Value is what matters to the person receiving care.

If patients aren't defining "value," we're building metrics for someone else's agenda.

[Rashaud Senior, MD @RSeniorMD]

@Dr_Warhel @EmmanuellaMDPhD Let’s gooo!

[Sam Ghali, M.D. @EM_RESUS]

Here’s an absolutely wild Chest X-Ray you won’t see every day

What’s the diagnosis?

[James Lucas @JamesLucasIT]

Thread of cool maps you've (probably) never seen before 🧵

1. All roads lead to Rome

[Malke Asaad @malkeasaad]

Here are the list of states that are going to allow IMGs to practice in the USA 🇺🇸 without any U.S. clinical training
Check thread 🧵 below
#match2025

[William Aird @WilliamAird4]

PLATELET COUNT THRESHOLDS

[Rashaud Senior, MD @RSeniorMD]

@Dr_Warhel @instablog9ja The defamation is crazy smh

[SaltyEM @SaltyEMNY]

Saw a patient today for rib pain.

On her property, she has a large pond. Many geese stop for both their migrations north and south, but they don't nest there.

Early this past summer, one of the geese stayed, and it's been by the pond ever since.

[Keith Siau @drkeithsiau]

When we have no idea about the aetiology 😅

[Rashaud Senior, MD @RSeniorMD]

So proud to have been part of this team for my first publication! Many thanks to this wonderful team and for Dr Cary’s hard work in putting it all together. #HealthEquity #AIHealth

[Michael Cary @mpc_24]

📢 Exciting News! Our amazing team from @DukeU_Nursing, @DukeAIHealth, @AICenter_Booth & @NUFeinbergMed have published "Mitigating Racial and Ethnic Bias and Advancing #HealthEquity in Clinical Algorithms" in this month’s @Health_Affairs: https://t.co/kmERNf9hke

[Rashaud Senior, MD @RSeniorMD]

It was such a pleasure speaking on the Emerging Leaders panel at the @NCHIMSS conference this week! Great to see old friends and make new ones!

[Rashaud Senior, MD @RSeniorMD]

@TheRealDr_O Lmao and who got it on a leash 😂

[Rashaud Senior, MD @RSeniorMD]

Oh interesting

[Paul Couvert @itsPaulAi]

ChatGPT has now a serious competitor.

Anthropic has just released Claude 2 and it's really powerful.

Here's why you should use Claude 2 instead of ChatGPT (for free):

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