Josh Mandel, MD @JoshCMandel
physician, programmer, and would-be pâtissier/poet. Chief Architect for #MicrosoftHealth and for @SMARTHealthIT. Bsky: https://t.co/gZapxtia3H joshuamandel.com Madison Joined June 2012-
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I am *constantly* typing some variation of "the output should be self contained and not make references to our conversation here -- the reader will not have this conversation in context"
Its a consistent theory-of-mind failure in models that are otherwise suprisingly good at theory-of-mind
With W3C Digital Credentials API, it's *finally possible* to design a health-data-sharing protocol that's idiomatic (standard FHIR-based resource sharing, questionnaire filling, etc) and works cross-platform (from web and mobile app requests to Android + iOS wallets)! See article for background + details on my updated "SMART Health Check-in Protocol".
Yeah. Their app doesn't even support pinch to zoom.
I hate it that the @newyorktimes tries to upsell me every time I log in, and suggest their own app for reading. They are about to lose my subscription because of it. If you are listening NY Times, you will lose a paying subscriber if you make me Click six times just to get to
I wanted to share a small mental model that explains a *lot* of the gap between 1) "my data should be there in the API" and 2) "wait, where's my data?" And of course I can't resist making a few small recommendations :) See x.com/JoshCMandel/st…
@thsottiaux If you mean Codex the GUI app... Linux support?
There is *a lot* I want to know about where GPT-5.5 thought summaries come from. In the middle of debugging tool use outputs like: > • Ran find /opt/android-sdk /usr/share/java -name '*guava*.jar' 2>/dev/null | head -20 I get the following thought trace (!!) > • I need to look for a guava jar, so I'll start by searching online. I'm curious about the best places to find it. Should I check grocery stores, specialty shops, or maybe some online retailers? I wonder what brands are out there and if there's a specific type I should aim for, such as guava jam or preserves. I'll take a quick look and see what options come up!
Hmm @AnthropicAI or knowledgeable users, does "full" here mean "including pre-resumption"? >The design should have been simple: if a session has been idle for more than an hour, we could reduce users’ cost of resuming that session by clearing old thinking sections. Since the request would be a cache miss anyway, we could prune unnecessary messages from the request to reduce the number of uncached tokens sent to the API. We’d then resume sending full reasoning history.
@dorofino I think you're talking about two very different layers of the stack. The shape and quality of the data that clients are authorized to see.
How might SMART Permission Tickets help with patient self-access, proxy access, public health, and more? Overview / explainer / live demo here: youtu.be/KlHGLZgkqcw
Airline platitude or undertaker platitude? "It is our honor to care for you on your journey."
Even better than canned visualization app is adhoc report generation using the analysis JSON as input. claude.ai/public/artifac… is the generated visualization HTML, and claude.ai/share/8ac52a72… is the Claude session that generated it (you can see it requires very little prompting). @zakkohane
This seemed like a fun task for Claude Opus 4.7! joshuamandel.com/greenbergolem/ has an example run on the claim "Hydroxychloroquine improves clinical outcomes in patients with COVID-19." github.com/jmandel/greenb… describes the pipeline. I spent 3-4h on this with Claude Code managing 10
This seemed like a fun task for Claude Opus 4.7! joshuamandel.com/greenbergolem/ has an example run on the claim "Hydroxychloroquine improves clinical outcomes in patients with COVID-19." github.com/jmandel/greenb… describes the pipeline. I spent 3-4h on this with Claude Code managing 10 parallel copilot subagents for ~12h. It can run autonomously to analyze claims where the literature is findable in full-text open access sources. github.com/jmandel/greenb… is the underlying output data with nodes, edges, and judgments driving the UI.
I will personally cheerlead anyone who can bring AI-driven critical thinking to generate a citation network with these fine-grained _judgements_ in the typology links to any specified topic. There is a lot of AI work in this area but none to my knowledge could reproduce the
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