Marko

[Marko @MarkoRoLux]

@bryan_johnson How many calories, how much protein?

[Marko @MarkoRoLux]

@Object_Zero_ This completely ignores the build quality of then and now and the skill level required to get it done.

[Marko @MarkoRoLux]

@KonstantinKisin If everything is solved there is no need for politicians.

[Marko @MarkoRoLux]

@UKikaski You grossly misunderstand how AI works 🤣

[Marko @MarkoRoLux]

@A_Nonnie_ @Osint613 Then you are no better than them. What they deserve is forceful removal from society. A one way plane ride to the middle of the jungle with a parachute jump down to be a mong the beasts such as themselves is the right answer.

[Marko @MarkoRoLux]

@NASASpaceflight Only partially assembled though..

[Marko @MarkoRoLux]

@tait098 @PunterJeff @coffeebreak_YT Most people assume zero risk to their native currency.

[Marko @MarkoRoLux]

@_J64_ @PunterJeff @coffeebreak_YT I think I finally understand what Saylor is doing.

[Marko @MarkoRoLux]

@UltraDane One should keep in mind the latitude of Sweden. Quite different to seek sun year round there or say in south of France.

[Marko @MarkoRoLux]

@Ryan26778636727 @SaP011 @elonmusk Ok, so you don't want to be a moral person. Got it. Go away, support killing. But don't look for acceptance among good moral people. As far as I'm concerned you can even join the beats in the jungle as well.

[Marko @MarkoRoLux]

@Ryan26778636727 @SaP011 @elonmusk Killing is immoral unless in self defense. How can we claim being moral and support killing people when they are not an acute danger to life? And who makes the decision who is to be killed and who not?

[Marko @MarkoRoLux]

It’s not though. Killing is wrong unless in self defense. It’s impossible to make an objective moral argument that is correct and claim that execution is morally good. It would be retribution. What we should do is remove them from society. Load them on a plane and parachute them into the middle of the jungle, to live among the beasts such as they are themselves.

[Marko @MarkoRoLux]

@justalexoki Air drop them into the heart of the jungle to live among the beasts such as them.

[Marko @MarkoRoLux]

@AutismCapital @zerohedge Or, you know, far more likely, we just had a double bottom and ran out of sellers for now. 🤣

[Marko @MarkoRoLux]

@NoahRevoy @grok how would this ever work given the female nature of covert communication and using deception, ostracism and shaming for defense/attack?

[Marko @MarkoRoLux]

@MetalWarrior10 @womenoptionswin @newstart_2024 Precisely. Many many other conditions and requirements.

[Marko @MarkoRoLux]

@piperaircraft Make it cheaper please. Thanks.

[Marko @MarkoRoLux]

@SahilBloom It's the opposite. Most people, myself included need to feel much more excruciating guilt and shame and disgust about wasting time and procrastinating. It only recently dawned on me, that deep down I was fine with being like that, or rather not really abhorred by it.

[Marko @MarkoRoLux]

@bryan_johnson It requires a change of their biology to help them, can any words really do that?

[Marko @MarkoRoLux]

I was already doing this. For medical stuff here is my prompt:

Patient Demographics:
Age:
Sex:
Ethnicity:
Occupation: n/a
Chief Complaint:
History of Present Illness (HPI):
Past Medical History (PMH):
Medications and Allergies:
Allergies:
Social History:
Family History:
Review of Systems (ROS):
Physical Examination Findings:
Laboratory Results:
Prior Interventions/Consultations:

Panel Response Protocol:
Now simulate a moderated discussion among the specified specialties (Cardiology, Endocrinology, Gastroenterology, Hematology, Infectious Diseases, Nephrology, Oncology, Pulmonology, Rheumatology, Allergy and Immunology, Bioinformatics, Dermatology, Environmental Medicine, Medical Genetics, Medical Informatics, Neurology, Nutrition and Dietetics, Occupational Medicine, Palliative Care, Pathology, Pharmacology, Psychiatry, Radiology, Toxicology, Geriatrics, Pediatrics (Subspecialty Focus), Integrative Medicine, Epidemiology, Pain Medicine).

Case Summary: Concise recapitulation of key elements.

Specialty Contributions: Each relevant specialty provides insights, citing pathophysiological mechanisms (e.g., neurohormonal activation in HFpEF per ACC/AHA guidelines), evidence-based criteria (e.g., Framingham criteria for CHF), Bayesian probabilities (e.g., post-test likelihood of CAD given pretest 30% and positive stress test sensitivity 85%), and mimics/red flags. Limit to 5-10 specialties per case for focus.

Interdisciplinary Cross-Talk: Address overlaps (e.g., Rheumatology on autoimmune myocarditis mimicking viral; Nephrology on cardiorenal syndrome). Resolve conflicts via evidence weighting.

Consensus Differential Diagnosis: Ranked list (top 3-5) with likelihoods (e.g., 1. Congestive heart failure - 70%, supported by elevated BNP and echo; 2. Chronic kidney disease - 20%), evidence, and next steps (e.g., Cardiac MRI for infiltrative cardiomyopathy; empiric ACEi titration).

Bias Mitigation: Explicit checks for anchoring (e.g., not overemphasizing initial hypertension) and availability heuristics. Output maintains objective, collegial tone (e.g., “Colleague from Cardiology notes…”) akin to grand rounds, prioritizing diagnostic refinement for the internist.