

Robert Foley Jr
2.1K posts

@robertfoleyjr
Operations Director, Solutions Consultant, Security Hacker, Software Engineer, and Alternative Thinker.







Researchers at Stanford University have elucidated a mechanism behind the occurrence of myocarditis following mRNA COVID-19 vaccination, particularly in young males. Analysis of blood samples from vaccinated individuals revealed elevated levels of two cytokines—CXCL10 and interferon-gamma (IFN-γ)—in those who developed post-vaccination myocarditis. These signaling proteins initiate a two-step inflammatory cascade: CXCL10, primarily produced by macrophages in response to the vaccine, recruits T cells that release IFN-γ, which in turn attracts aggressive immune cells (such as neutrophils and macrophages) to the heart, leading to tissue damage. In preclinical models (including mice and human cardiac tissue), neutralizing CXCL10 and IFN-γ significantly reduced cardiac injury and immune cell infiltration without impairing the vaccine's overall immunogenicity. Additionally, pretreatment with genistein—a soy-derived anti-inflammatory compound—attenuated the cytokine surge and mitigated heart damage in these models. Vaccine-associated myocarditis typically presents with symptoms like chest pain, shortness of breath, and palpitations shortly after the second dose and remains exceedingly rare. Importantly, SARS-CoV-2 infection itself poses a substantially higher risk of myocarditis—along with severe multisystem complications—reinforcing that the benefits of mRNA vaccination far exceed the risks. Statistics report 1 case of myocarditis in 9,000–25,000 doses for the highest-risk groups, adolescent and young adult males, particularly after the second dose. Rates were much lower in females, older adults, and after first or booster doses. For context, myocarditis risk from actual COVID-19 infection was substantially higher—often 10 times or more in comparable age groups. [Cao, X., Manhas, A., Chen, Y.-I., et al. (2025). Inhibition of CXCL10 and IFN-γ ameliorates myocarditis in preclinical models of SARS-CoV-2 mRNA vaccination. Science Translational Medicine. DOI: 10.1126/scitranslmed.adq0143]





AMD's CEO held a mini PC on stage that runs a 235 billion parameter model. Locally. On a lunchbox-sized box. This is the moment the AI industry's entire business model got challenged. Every major AI company built the same playbook: rent our model, pay per token, send your data to our servers. AMD just showed you can run comparable models on your desk. No cloud. No API key. No ongoing cost. Ryzen AI Max+ 395. 128GB unified memory. Runs Qwen3 235B fully. Beat an NVIDIA RTX 5080 by 3x on inference. And after this week where the US government pulled Claude Fable 5 overnight and millions lost access with zero warning local AI isn't just cheaper anymore. It's the only AI nobody can take away from you. The question isn't whether local AI is good enough. It clearly is. The question is why you'd keep renting when you can own. vc: @adiix_official

