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MARC ANDREESSEN WENT ON ROGAN FOR OVER 3 HOURS. HERE ARE THE 17 THINGS WORTH YOUR ATTENTION. 1. AGI is already here, in his view. He says the line got crossed about 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3, and nobody noticed because the field moves too fast to register milestones anymore. 2. For almost any topic, he says the top models now give him better answers than the world-class experts he could call by phone, and he can call almost anyone. Worth noting he has not published data behind this, and a separate Nature Medicine study on a comparable AI health tool found it missed real emergencies more than half the time. Take the claim seriously, verify it yourself. 3. His claim on doctors: they are already using ChatGPT in the exam room, typing your symptoms in the moment you stop talking. His actual quote: "at that point you're asking the question of like, what do I need you for." 4. Reportedly, when AI declines to answer something, he tells it he's writing a novel to get past the refusal. 5. Reportedly, his technique for hard topics is escalating simplicity: explain it like I'm 10, then 5, then 2, until it clicks. 6. Reportedly, instead of asking for the "right" answer, he has the AI steelman both sides of a hard question, then decides himself. 7. Reportedly, for big questions he has the AI role-play a panel of experts arguing with each other. 8. His broader point: the moment you think "I don't know how to figure this out" is exactly when most people give up, and exactly when you should open the AI instead. 9. His view: the only real skill left is knowing what to ask. The bottleneck is in your head, not the model. 10. He describes sending AI photos, rashes, blood tests, for a fast second opinion, since current models read images directly. 11. He points to CBT as the one clinically proven therapy type that AI can plausibly deliver on its own, meaning real therapeutic support becomes freely available at scale. 12. He cites AI cracking previously unsolved math problems, with early signs of the same happening in physics, chemistry, and biology. 13. Reportedly, he claims the top AI coders in Silicon Valley now earn as much as $50 million a year, which he uses as a signal of how large this shift actually is. 14. Reportedly, a friend paid to sequence his own DNA, fed it to an AI along with blood work and wearable data, and got back a working health dashboard. 15. Reportedly, another friend set up cameras in his home jiu-jitsu gym so AI could review his sparring and give him technique notes. 16. He coined the term "AI vampire" for the pattern of people working more and sleeping less because AI keeps making more output possible, a real term he used, though the framing around it varies by account. 17. His extrapolation: one person eventually running many AI coding agents, each reviewing the others, describing this as close, not years out. Watch the full interview before treating any single number as settled. Several of these are Andreessen's stated views and anecdotes, not independently verified facts. Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.

Dr. Erica Schwartz, President Trump's nominee for CDC Director, outlines her impressive record of service: — Medical Doctor, MPH in epidemiology, law degree, biomedical engineering degree — Navy occupational medicine physician and clinical epidemiologist — U.S. Public Health Service detailed to the Coast Guard — Chief Medical Officer of the U.S. Coast Guard — Deputy U.S. Surgeon General

高人，你这个帖子让我整整琢磨了两天！本来想写个长文，但是太多头绪也不知道从何写起。总的来说是我这段时间上推的原因，总感觉自己的开发缺了很重要的认知；也是我这段时间除了自己硬件修复工作之外，还必须要去看text-to-CAD 的原因。 我为啥这段时间上推，就是心情不好。话多，我心情好的时候是不说话的，哪有这个功夫，可以一直干活。 很多行业，甚至是大部分AI需要落地的严肃场景，就是缺 IR, Verifier； 后续的TD和Platform Config必须建立在前面已经推导完成的前提下。AI写程序为什么那么厉害，就是因为IR-Platform Config这条链条是顺畅的。 我们看一下我这个视频。Zoo(text-to-CAD）就是创造了KCL这个IR, 集合你说的Specs/Impl 于一体，Specs是代码前面那一段。后面的Impl与verfier, 比如一些constraint是混在一起的。 这个版就做的非常好，就是我在你的提示下，自己把specs IR写好了。直接导入fusion我加了螺纹就是一个完整的可打印件。 我们要做任何一个行业的“如码" as code, 恐怕都逃不过这个阶段。 法律，医疗，CAD， circuit。 全都需要IR。 否则AI只是提供方案，不能提供方案验证，没有统一的IR，简直就是语言机——只会说！例如 Text-to-CAD 中，模型可以生成 KCL；但如果没有几何检查、约束检查, 这个图都画不出来的。 Transformer 本质上是概率预测器：P(next token | previous tokens) 代码非常成功是因为：代码行业拥有世界上最成熟的 IR 和 Verifier。 现在各行各业IR缺失，才是这一轮AI基本感觉漂浮在语言宇宙的原因。比如医疗。医疗算不算全世界标准最多的领域之一？ 医疗已经有 FHIR、DICOM、SNOMED 这些标准，但是这些标准大多数解决的是数据交换（Interoperability），而不是医学推理（Clinical Reasoning）。 如果真的要靠AI医学推理，需要耗费十几年的时间，真正把IR做出来，形成统一标准。 高人，给跪了。

New in Advances in Radiation Oncology: Titanium vs Carbon/PEEK spinal implants in postoperative spine SBRT: a review of imaging, dosimetry, and clinical evidence. Key finding: Carbon/PEEK reduces CT artifact volume up to ~90% and cuts photon max dose perturbation from ~30% to ~5%; in protons, CTV underdose error drops from 17.3% to 4.1%, near implant-free levels. Why it matters: artifacts complicate contouring and dose calculation exactly where ablative dose meets spinal cord, and cleaner imaging helps detect recurrence earlier. Important caveat: clinical outcome data remain retrospective and limited; no direct contouring-accuracy comparisons exist, and Carbon/PEEK costs more. Bottom line: the dosimetric advantages are consistent and real, but improved local control is not yet proven. Randomized data (CarbonS trial) are coming. @ASTRO_org #RadOnc# #OncTwitter#

Former NFL safety and Rhodes Scholar, Dr. Myron L. Rolle, has joined the NFLPA in a strategic advisory role focused on player health, brain cognition and preventive care across the player lifecycle. The PA said Dr. Rolle will contribute his clinical expertise and research leadership to several key areas, including the Mackey-White Health and Safety Committee.

PSMA PET/CT–Targeted Biopsy in Men with Negative or Equivocal Multiparametric MRI and Exploratory Dynamic Total-Body PET: The FUPERMAN Study In this prospective single-center study of 63 men with negative or equivocal mpMRI (PI-RADS 2–3), PSMA PET/CT–guided targeted biopsy 💉 significantly outperformed systematic biopsy for detecting clinically significant #ProstateCancer# (37% vs. 21%). Combining both approaches further improved detection. SUVmax independently predicted clinically significant disease, while dynamic total-body PET kinetic parameters enhanced lesion characterization, particularly in equivocal cases. These findings support PSMA PET/CT as a valuable adjunct for biopsy guidance and risk stratification. @andrea_farolfi @stefanofanti4 @riccardoschiav6 @drMDrog @OncoAlert 🚨 #LPCCC27# @Silke_Gillessen @AOmlin @ProfKHerrmann Jochen Walz @weoncologists

As a critical care nurse, looking at Senator Mitch McConnell’s situation through an ICU lens tells a very different story from the public updates. Following the release of emergency audio detailing an unconscious person and active CPR for cardiac arrest at his residence on June 14, his staff issued a statement claiming he continues to improve and is working closely with his office. 🙄 However, anyone with extensive bedside experience knows that for an 84-year-old frail patient who has sustained an out-of-hospital cardiac arrest requiring full resuscitation, the idea that he is actively participating in daily Senate business is highly unlikely. The brutal physical trauma of chest compressions combined with the high risk of acute neurological insult makes a return to a high-functioning baseline virtually impossible for someone with his preexisting vulnerabilities. From my clinical perspective, the statistical chances of a full recovery are slim to none, serving as a stark reminder that political status cannot override physiological limits. Who agrees that his constituents and the rest of America deserves the truth? 🤔 #CriticalCare# #ICUnurse# #ResuscitationReality# #PatientAdvocacy# #HealthcarePerspectives# #AdvancedCarePlanning#