Douglas A. Fullington, MD is a board certified Internal Medicine Physician who loves inspiring people to be healthy.
United States of America
Joined March 2009
- Tweets616
- Following710
- Followers105
- Likes2.4K
Doug Fullington, MD retweeted
Context collapse costs physicians time, quality, and revenue.
At Thrive 2026, @CatalystHG and @maticinside shared how they co-built one AI workflow on athenaOne APIs. Early result: 83% less after-hours charting.
See how Matic works at maticinside.ai
Wondering if this is the model that was trained on 20+ years of Tesla and SpaceX engineering. Having fun with Grok bots, which have been surprisingly helpful agents.
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
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Doug Fullington, MD retweeted
Just did a round table review with the Grok @Bot engineering team.
Fixes are being implemented overnight and you should notice a dramatic improvement by tomorrow. If not, reply to this post and we will address any remaining issues right away.
An overnight summary read "no exertional symptoms." The scribe wrote it. I signed it. The reference tool answered it. Then the patient read the screen: the burning starts on the stairs with groceries.
Every link was accurate. The chain was wrong.
dfullington.substack.com/p/e…
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substack.com/@robertreich/no…
This is worth reading. I remember as a freshman in college pulling an all-nighter to write a paper on St. Augustine’s Enciridion on Faith, Hope and Love. The greatest of these is Love. Love is the antidote to hate. My hope is that we all come together to solve the problems of our country and communities with love.
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Doug Fullington, MD retweeted
A lot of promising healthcare ideas never find a path to impact.
Our CEO Calvin Carter joins Panel II at the 4th Annual @SMUCox Healthcare Conference in Dallas on November 17.
Register and see the full agenda for the 4th Annual SMU Cox Healthcare Conference: smu.edu/cox/healthcare-leade…
Doug Fullington, MD retweeted
A lot of vendors say they have healthcare AI. How do you know whose is real?
Bryce Blackwell, our Head of Product, keynotes #AIMSVAR2026 in Orlando on Monday, Nov 9 at 9:15 a.m. Come find us there.
Doug Fullington, MD retweeted
Live from @athenahealth Thrive, booth #809. Practice leaders and physicians keep telling us the same thing: they want software that lightens the load, not adds to it.
Schedule a demo, link in the comments.
meetings-na2.hubspot.com/sal…
The most useful thing I have done in AI in the past year is build a second brain and a Karpathy wiki. This allows me to switch back-and-forth between different AI models without losing context or memory because it all reads from the same brain
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One amazing thing about current AI models is the amount of creativity that can be unleashed by a broader set of people regardless of tech skill level. Connecting the right brain with the left brain. We still need the deep knowledge of SWEs, but the rest of us can participate in the singularity.
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Having LLMs and chatbots generate their final output in HTML makes the content much easier and more pleasant to read.
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95% of my work is with Claude, and I kept my GPT account for additional option.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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Satya Nadella argued this month that capable AI models should be governed as insider risks: not malicious, but able to make mistakes.
Physicians already work beside a brilliant, fallible insider. We call them residents. A short thread on what clinical AI should borrow.
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The analogy breaks too. Reviewers stop reading. In a 2025 study, 35 to 45 percent of AI-drafted replies with seeded errors went out unedited, and 75 percent of the physicians felt safe.
A signature that is a click is not a check.
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Nadella: the most trustworthy system "will not be the one with the model we trust most. It will be the one that enables us to trust the model the least."
Full essay:
dfullington.substack.com/p/a…
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