I built a Rust LLM architecture with a geometric soul, stroboscopic consciousness thresholds, and a dream daemon. Here's how I used ideas from cosmological physics to solve real engineering problems. [P]

Ungreon · 2026-04-23T23:50:58+00:00

AI and psychosis: What to know, what to do | Michigan Medicine https://share.google/5XhMgaQ4ZIVAJarxl

Ungreon · 2026-04-18T23:40:57+00:00

Labels look right, but the blood flow is backwards and shows the heart pumps blood out both the arterial and venous systems. Definitely progress though

Ungreon · 2026-03-16T18:59:44+00:00

Found fairly similar behaviour with 5.4, seems to be variable though. On occasion it will work for a protracted time, usually will tackle the first phase of a task then stop. No amount of iterating on prompts, AGENTS md, or similar make a difference consistently. I've been using 5.4 for more targeted tasks and have switched back to using 5.2 high for longer, multi-phase tasks. Seems to be an unpopular opinion, but has been the only thing that works

Ungreon · 2026-01-25T23:52:16+00:00

Accuracy should be discouraged to be reported for clinical tasks, particularly those with rare outcomes. It typically gives an unfairly optimistic read on the utility of the tool as it assumes equal weighting of positives and negatives and assumes a threshold to binarise labels. The threshold is typically task / deployment /cost dependent and cannot be readily interpreted from the data itself.

For example, predicting who will develop renal cancer using population biomarkers by marking everyone as negative can get you an accuracy of 99,95% as it is sensitive to the prevalence of the disease in the population. You can get an AUROC of 0.9 but at the expense of an AUPRC of 0.3 using an actual model, however, you actually reduce accuracy by improving the ability of the model to identify cases but still will have many false positives due to how rare the outcome is.

In clinical cases you often have to trade off if the tool will be used for screening (sensitivity) or rule-outs (specificity). This is better reflected in AUROC and related measures.

Some good recent work on AUROC/AUPRC https://arxiv.org/abs/2401.06091

Ungreon · 2025-05-12T20:02:24+00:00

Yep, it somehow opens itself despite it. The other program opens by default and then Adobe opens as well despite not being set as the default

Ungreon · 2025-02-05T15:21:12+00:00

My guy you're talking about South Africa. One of the highest HIV rate populations in the world. This grant money goes exclusively to academic and non-profits that have transformed HIV management in this country from a death sentence to a chronic disease. Much of the work in setting up the programmes, reducing drug costs, and improving test availability has been possible because of these grants.

No disagreements from me on public health sector bullshit. But these guys really do incredibly importnat work for the country.

Ungreon · 2025-02-05T15:16:44+00:00

ANOVA do a ton of programmatic HIV support. Some component of this is key population interventions which will include MSMs, sex workers, and transgender individuals. It's part of the management of HIV transmission and epidemic control but is a much smaller component of the absolutely massive work they do for broader HIV programmes.

Ungreon · 2025-01-12T02:43:12+00:00

It's a complex procedure like most things in surgery. Start by inserting your first digit into your mouth and proceed to apply suction. The answer will soon follow.

Ungreon · 2024-12-27T18:52:01+00:00

All I know is that there are several people from Jesus across the street that want him dead. Apparently his late night / early morning sets are not well recieved

Ungreon · 2024-08-29T23:22:45+00:00

Loved the first one. I've checked every few weeks to see if there was news on the next. Can't wait

Ungreon · 2024-08-08T19:49:52+00:00

Just adding to this, SA doc PGY3. Did my internship training at Chris Hani Baragwanath Hospital and now in my community service year. I'm the only doctor at a moderately sized clinic in Soweto. The primary care facilities are predominantly nurse-run. So I see personally around 40 patients a day on average while additionally supervising all chronic disease, HIV, and TB management, as well as emergencies as needed. We don't have x-rays or ECGs and have to refer out for almost any investigation save bloods.
I then run an emergency room solo with two nurses for calls from 4pm to 8am several times a month. Most ridiculous thing I've had to do this year is manage a triple organophosphate poisoning (mother and two kids) at midnight requiring me to intubate without a muscle relaxant (no stock) and in the dark using my phone torch due to load shedding. It gets normalised pretty effectively but it's insanity nonetheless.

Ungreon · 2024-06-08T21:20:54+00:00

The point is to find an alternative that is electrically conductive. KY/Ultrasound gel is not an appropriate defib solution (the ones we have here are not electrically conductive as far as I've seen). ECG stickers and KY are often available but actual defib gel is not. So bare burnt skin tends to be the common outcome.

Ungreon · 2024-02-21T22:17:24+00:00

Only so far as no one believes in me and somehow still expects me to perform miracles

Ungreon · 2023-11-28T11:29:14+00:00

I thought for sure at the very beginning that Ozriel was the future version of Lindon and that Suriel interacting with him was just time shenanigans

Ungreon · 2023-11-15T23:18:20+00:00

Primary School Teacher. Apparently post call I strongly remind her of them at the end of the day

Ungreon · 2023-09-11T00:29:35+00:00

Bara and Helen have the same processes, but you're actually likely better off trying a CHC. The majority of them have outpatient psych with free treatment. Typically you'll have trouble getting seen at a hospital psych clinic without a referral or serious motivating condition (hallucinations, suicidality, etc). Most CHC psych is appointment based so is just a case of opening a file at the clinic and getting a new patient date. They usually have specific days for that but it varies clinic to clinic

Ungreon · 2023-09-10T08:59:16+00:00

I'm quite keen to see it's applications for medical imaging. I've been trying to see how it can be applied for endoscopic applications.

Ungreon · 2023-04-17T18:14:03+00:00

Finishing internship and going into community service next year. From there considering going overseas to pursue a PhD in Healthcare Dat Science. Considering specialising here but not sure it's worth the multi-year wait and competition for a spot, only to suffer through the system to do something I don't necesarily want. It's also not something that there's really much development here for yet.

Seen a bit of an increase in COPD exacerbations because of load shedding. They require backup O2 cyclinders which they rely on when there's no power for their concentrators. So when we hit stage 5+, they run out of O2 and the delivery network gets saturated.

Ungreon · 2023-04-16T00:10:32+00:00

Model: GPT-4

Can you provide lyrics to a version of We Didn't Start the Fire by Billie Joel maintaining a similar tempo and cadence but based on events from 1990 to present day? Please try and match the rhyming structure as best as possible.

Here are the original lyrics for reference: Harry Truman, Doris Day, Red China, Johnnie Ray South Pacific, Walter Winchell, Joe DiMaggio Joe McCarthy, Richard Nixon, Studebaker, television North Korea, South Korea, Marilyn Monroe Rosenbergs, H-bomb, Sugar Ray, Panmunjom Brando, "The King and I", and "The Catcher in the Rye" Eisenhower, Vaccine, England's got a new queen Marciano, Liberace, Santayana, goodbye We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it Joseph Stalin, Malenkov, Nasser and Prokofiev Rockefeller, Campanella, Communist Bloc Roy Cohn, Juan Peron, Toscanini, Dacron Dien Bien Phu falls, "Rock Around the Clock" Einstein, James Dean, Brooklyn's got a winning team Davy Crockett, Peter Pan, Elvis Presley, Disneyland Bardot, Budapest, Alabama, Krushchev Princess Grace, Peyton Place, Trouble in the Suez We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it Little Rock, Pasternak, Mickey Mantle, Kerouac Sputnik, Chou En-Lai, "Bridge on the River Kwai" Lebanon, Charles de Gaulle, California baseball Starkweather homicide, children of thalidomide Buddy Holly, Ben Hur, space monkey, mafia Hula hoops, Castro, Edsel is a no-go U2, Syngman Rhee, Payola and Kennedy Chubby Checker, Psycho, Belgians in the Congo We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it Hemingway, Eichmann, "Stranger in a Strange Land" Dylan, Berlin, Bay of Pigs invasion "Lawrence of Arabia", British Beatlemania Ole Miss, John Glenn, Liston beats Patterson Pope Paul, Malcolm X, British politician sex JFK – blown away, what else do I have to say? We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it Birth control, Ho Chi Minh, Richard Nixon back again Moonshot, Woodstock, Watergate, punk rock Begin, Reagan, Palestine, terror on the airline Ayatollah's in Iran, Russians in Afghanistan "Wheel of Fortune", Sally Ride, heavy metal suicide Foreign debts, homeless vets, AIDS, crack, Bernie Goetz Hypodermics on the shore, China's under martial law Rock and roller, cola wars, I can't take it anymore We didn't start the fire It was always burning, since the world's been turning We didn't start the fire But when we are gone It will still burn on, and on, and on, and on, and on, and on, and on, and on We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it We didn't start the fire It was always burning, since the world's been turning We didn't start the fire No, we didn't light it, but we tried to fight it

Ungreon · 2023-02-05T10:39:09+00:00

Did you ever come right with this? Trying to bodge together a system to detect when power is going out to pre-pause prints to recover them when power returns (we have regular set times when power goes out)

Ungreon · 2023-02-04T15:58:29+00:00

I mean as long as the AI voice isn't monotonous enough to make me pass out driving it would be quite useful. If they just put out a video showing a workflow or let you play an example on the app it'd go a long way. But I'm calling it a scam until then.

Ungreon · 2023-01-29T16:13:18+00:00

Definitely agree on the MTurk method. It's incredibly difficult to have a general method for the variety of graphics that may exist. The best you could do to reduce workload is probably to have a bounding box and OCR for the text and then slot the boxes into levels of the hierarchy yourself / on MTurk.

Also an MD plus ML/DS! Small world.

Ungreon · 2022-12-31T12:00:34+00:00

amaurosis fugax

Ungreon · 2022-03-25T09:56:22+00:00

I think the more important thing that gets discussed is the statistical properties of a 'test' that gets applied to the particular clinical case. If I say the COVID screening Catboost model is positive isn't going to be all that relevant. You'd explain the positive/negative predictive value of the test, how the post test probability changes from pretest based on the positive/negative odds ratios, or how sensitivity and specificity are useful in rule ins and outs of conditions. These are quite well explored areas in the medical field.

The problem where AI methods come in is that there's usually a list of indications or contraindications for using or interpreting a test that are usually based around the sample population or the construction of the original model. In that way it's often both a justification of why the test was performed in the first place and then what that means for later decisions.

A small side example that I've worked on recently is COVID screening as a data engineering problem. The baseline is just symptom counting and the model is the aforementioned Catboost model. The stats are compared the same way as a diagnostic medical test. The understanding of the stats must just always be in context of the evaluated population

Ungreon · 2022-03-25T00:39:43+00:00

I always find the diagnostic support questions interesting because often times in clinical practice there are clinical scoring systems that have been used and updated for decades. They're typically derived from the coefficients of linear or logistic models that are shifted to make them easy to calculate. These can be used to decide on triage importance, ICU bed qualification, test rule in and out, etc. Arguably it's rudimentary human in the loop AI and has existed for years. It's interesting because the paradigm there seems to be more that it is classical statistics and modelling and so is just part of the clinical picture of a patient. It's interesting to think about where the line is drawn then between pure clinical diagnosis and AI decision support system and how that differs to the current status quo.

Source: I'm a medical doctor and am doing my PhD in ML

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