Someone filming from a high-rise in Boston spots this insane rooftop setup and is straight up mindblown
“Is this even a house? Who lives here? What is this?” Turns out it’s a full-on luxury penthouse duplex built right on top of the buildings at 326 A St STE 6C, Melcher Street, Fort Point
It’s a real 4,383 sq ft home (sold for $3.6M recently) that genuinely looks like a standalone house sitting on the roof
That looks unbelievably cool
"Mind blown. The responses it gave were pulled from sources we trust, but also based on what it was hearing in the visit in real time. The updated Abridge clinical decision support just blew me away." —Hematology/Oncology & Palliative Care Clinician at a large, urban health system
Abridge Clinical Decision Support surfaces relevant, evidence-based information at the point of care. When clinicians ask questions, CDS insights are grounded in the clinical conversation, EHR context, and informed by a growing list of trusted sources:
- UpToDate (owned by Wolters Kluwer)
- The New England Journal of Medicine
- JAMA (published by AMA)
- American Heart Association
- American Diabetes Association
- American Family Physician (published by AAFP)
- Journal of Clinical Oncology (published by ASCO)
- Neurology (published by AAN)
- EBMCalc
No more surfing tabs. No more switching context. No more turning away from the patient. Just the information you need, exactly when you need it, grounded in clinical context.
Learn more at
Mind blown from a new model I just got access to. I think this will be one of the most (the most?) significant drops this year. Excited. And sorry to be annoyingly vague. Just excited.
JasonTheWeen was mind blown reacting to Hasan Piker being name dropped by Benjamin Netanyahu 😳
"wtf is happening, I genuinely don't know what is going on. Hasan vs. Netanyahu in 2026. I'm standing with Zeus."
The new DeepSeek V4.1 Flash model is mindblowing - back on top of the open-source model leaderboard and extremely cheap.
It has a lot of very smart ways to be efficient and highly capable so I made a video of the forward pass to give you a view of what going on inside the model during inference.
Read more at
And find the weights at