Medical software

131 posts

Medical software

Medical software

@medsoftware

Critical thinking... making the software logically & medically sense!

online Katılım Ocak 2011
150 Takip Edilen73 Takipçiler
unusual_whales
unusual_whales@unusual_whales·
U.S. and Iran are closing in on a 60-day ceasefire extension with nuclear framework, per CNBC
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Medical software
Medical software@medsoftware·
@leavealone_3 @KobeissiLetter With this war on and off, the U.S. stock market has been driven to record highs again and again... Does the President really care what you pay for the gas besides your vote for the mid election?
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The Anti-Femite
The Anti-Femite@leavealone_3·
@KobeissiLetter They AGREED to move all enriched uranium and have ZERO enriched uranium on their land under the previous supreme leader. This volunteer war has DONE NOTHING OF BENEFIT FOR 🇺🇸 meanwhile, here I go in a rural town paying nearly 5 bucks a gallon x.com/i/status/20576…
Nikki Parker@heyyyynik

@KobeissiLetter Something we had LOCKED IN prior to the assassination of his father and an attack on a little girls school from a war we VOLUNTEERED IN. What happened to the BOARD OF PEACE and the 10 billy bags we sent over? Meanwhile, AMERICA 1ST x.com/i/status/20575…

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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Iran's Supreme Leader Mojtaba Khamenei has issued a directive that the country's highly enriched uranium should not be sent abroad, per Reuters. Israeli officials also said that ‌President Trump has assured Israel that any peace deal must include a clause removing Iran's highly enriched uranium from the country. Oil prices are back above $100/barrel on the news.
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Robert Kiyosaki
Robert Kiyosaki@theRealKiyosaki·
“WAR: What is it good for? Absolutely nothing.” The above are words from a Vietnam era protest song. Tragically war is profitable. If war was not proftsble….would we have wars? FYI: I served in Vietnam twice…once in 1966 and 1971-72. I lost many friends in Vietnam. I returned to Vietnam three weeks ago to find my own answers, say goodbye to lost friends, and make peace with myself. My concern about this war in the “Holy Lands,” is for those killed and wounded in this war. My concern includes those of us at home, far from theis war, who will suffer financially due to inflation. Our national debt, poverty, and homelessness is how we all pay for this war. This is why your financial education is essential in times of peace and especially in time of war. If you have been following my previous “X” posts, just because we are in debt and at war doesn’t mean you have to suffer financially…. In fact you can grow richer. Your greatest asset is you, and your choices as to what financial education you choose to put into your brain. War may be a time for you to get smarter and richer….if you choose your teachers and your financial education with care. Please take care and be a proactive learner..
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John
John@market_sleuth·
Have you ever felt like the bear in the top left of this photo wondering why you didn’t get the memo? 🤣
John tweet media
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⧫ Alan Chen ⧫(alanchentsla.eth)
2026 年的巅峰能量。 📉 一个 AI Agent 雇佣人类的平台昨晚发布了。 前两个值得注意的用户: 1一个 OF 模特。 2一个 AI 创业公司 CEO。 我不知道 Agent 打算用这么多样化的人才库干什么,事到如今,我也不敢问了。 逆向图灵测试越来越疯狂了。 #ai
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Major Helper
Major Helper@shengcer·
@alanchen 什么狗屁几把文章。沃市要降息缩表一起上。缩表是要重振市场对央行货币政策的信心,而AI生产力的提升会抵消降息的通胀影响。这是美国的国远之战。和你妈跪舔花街屁的关系都没有,
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DecentraKen
DecentraKen@Decentraken888·
@alanchen So why Trump wants him, 違背他要讓股市double up
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old5
old5@old5·
@alanchen 太好了,如果再加上日元加息就能挤去市场上大部分泡沫,又有大批带血筹码可以捡了,特别是特斯拉。
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Florence Chang
Florence Chang@mfu1011·
@alanchen 别长篇大论,扯一堆没用的,你就回答三个问题:1. 川普还能干多久?2. 在川普剩下的任期内,如果美联储大幅加息,支付利息是刚性的,美国政府如何维持?3. 既然川普支持新美联储主席搞强势美元,那去年搞的大美丽法案又如何解释?川普真是你想象的那种左右手互搏吗?😂
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Medical software
Medical software@medsoftware·
@wzkwyqj @alanchen Nah, the keyword is the second term, how could he gain the most is weighing way over just the MAGA slogan...
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Miracle
Miracle@Jadewqt·
@alanchen 以川普的性格绝对不会任命一个会忤逆自己的美联储主席,二任总统以来他要的是自己伟大,绝对不允许有人跟他争功,他要的是服从。
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Goober
Goober@goober_dyor·
@unusual_whales This is why $TSLA refuses to die. Multi-vertical beast mode activated.
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unusual_whales
unusual_whales@unusual_whales·
BREAKING: Tesla, $TSLA, has invested $2 billion in xAI, and has not sold their bitcoin in Q4 2025.
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迷人的小红
迷人的小红@miren_41319·
美国收垃圾小哥的视频在外网火了 然后,最神奇的是,国外有人评论:“这就是热爱生活的样子,他比亿万富翁更有幸福感。”😅😅😅
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Luffy
Luffy@callmeLuffy_zz·
99.9% will fail..!! Tell me the number that is bigger than this..??
Luffy tweet media
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BlackApple
BlackApple@BlackApple·
@KobeissiLetter What no one ever mentions is that Buffet missed out on over $300B in gains by exiting to cash years too early
BlackApple tweet media
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Tomorrow is Warren Buffett's last day as CEO of Berkshire Hathaway. Buffett took the stock from $19/share in 1965 to $750,000/share today, up +3,950,000%. Congratulations to the best investor of all time.
The Kobeissi Letter tweet media
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Cyrus Janssen
Cyrus Janssen@thecyrusjanssen·
If the United States followed China's model of building high speed rail to connect every city with a population of 500k people our country would look like this. Not going to lie, this would be amazing for the US and drastically improve the quality of life for tens of millions of Americans. Would love to see this happen, but unfortunately it will never be a priority for the US government
Cyrus Janssen tweet media
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Valerio Capraro
Valerio Capraro@ValerioCapraro·
Major preprint just out! We compare how humans and LLMs form judgments across seven epistemological stages. We highlight seven fault lines, points at which humans and LLMs fundamentally diverge: The Grounding fault: Humans anchor judgment in perceptual, embodied, and social experience, whereas LLMs begin from text alone, reconstructing meaning indirectly from symbols. The Parsing fault: Humans parse situations through integrated perceptual and conceptual processes; LLMs perform mechanical tokenization that yields a structurally convenient but semantically thin representation. The Experience fault: Humans rely on episodic memory, intuitive physics and psychology, and learned concepts; LLMs rely solely on statistical associations encoded in embeddings. The Motivation fault: Human judgment is guided by emotions, goals, values, and evolutionarily shaped motivations; LLMs have no intrinsic preferences, aims, or affective significance. The Causality fault: Humans reason using causal models, counterfactuals, and principled evaluation; LLMs integrate textual context without constructing causal explanations, depending instead on surface correlations. The Metacognitive fault: Humans monitor uncertainty, detect errors, and can suspend judgment; LLMs lack metacognition and must always produce an output, making hallucinations structurally unavoidable. The Value fault: Human judgments reflect identity, morality, and real-world stakes; LLM "judgments" are probabilistic next-token predictions without intrinsic valuation or accountability. Despite these fault lines, humans systematically over-believe LLM outputs, because fluent and confident language produce a credibility bias. We argue that this creates a structural condition, Epistemia: linguistic plausibility substitutes for epistemic evaluation, producing the feeling of knowing without actually knowing. To address Epistemia, we propose three complementary strategies: epistemic evaluation, epistemic governance, and epistemic literacy. Full paper in the first reply. Joint with @Walter4C & @matjazperc
Valerio Capraro tweet media
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shorty
shorty@simpletrader77·
Tell me in the comments your favorite undervalued stock to get a year of @tradingview Ultimate Plan for FREE! I’ll randomly pick one lucky winner. To make the deal sweeter, I’ll include my personal custom indicators for life. tradingview.com/black-friday/ $SPY $QQQ
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Andy
Andy@andyantiles_·
@unusual_whales Government shutdowns always end the same way… everyone gets paid, and taxpayers get played
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unusual_whales
unusual_whales@unusual_whales·
BREAKING: Senators reach deal to end federal government shutdown: - the agreement funds the government through january 30 and schedules a december vote on the affordable care act bill. - the deal reverses president Trump’s firings of federal employees and adds provisions to prevent future such actions. - it also ensures food stamps are funded through fiscal year 2026, according to sources.
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