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🚨🚨 EPIC Paul Offit takedown! PLEASE LIKE AND SHARE WIDELY! A point by point analysis of the false claims and lies he presented as scientific fact in his infamous 2024 "DNA fragments in COVID vaccines are completely harmless" video: LIE #1: The mRNA vaccines contain fragments of DNA, but these are in very small quantities, measured in nanograms - Counterargument: Even though the DNA fragments may be in small quantities, their presence still poses a risk. DNA integration into the genome, even in small quantities, could still have long-term, unpredictable effects that we are not yet fully aware of. LIE #2: Impossibility of DNA entering human DNA: For these DNA fragments to integrate into our DNA, they would have to overcome several barriers, including crossing the cytoplasm and nuclear membrane, which is virtually impossible - Counterargument: The entire purpose of the LNP (lipid nanoparticle) in mRNA vaccines is to allow for the mRNA to enter the cytoplasm in order to transcribe the desired proteins. While fragments integrating into human DNA might be low, it's not "impossible." Scientific literature on gene editing technologies, like CRISPR, demonstrates that foreign DNA can be integrated into the genome under certain conditions. LIE #3: Role of innate immune system in rejecting foreign DNA: The innate immune system and enzymes in the cytoplasm work to destroy foreign DNA - Counterargument: While our immune system does recognize and destroy some foreign DNA, the immune response isn't perfect, especially if the foreign DNA is introduced in a manner that is not immediately recognized such as via the LNP. In certain environments or under specific conditions, foreign DNA can evade immune detection. LIE #4: Lack of integrases in mRNA vaccine DNA: The DNA fragments in the mRNA vaccine do not have the necessary integrases to integrate into our genome - Counterargument: While the fragments might lack integrases, it's possible that they could still interact with the genome in other ways, for example, through epigenetic changes or by influencing gene expression as is commonly achieved in laboratory settings. LIE #5: Comparison to naturally occurring foreign DNA: We are constantly exposed to foreign DNA through our food from bacteria, plants, and animals, which is much larger and more abundant than the DNA in vaccines - Counterargument: Although we are exposed to foreign DNA regularly through the digestive tract, the introduction of DNA through vaccination is a more controlled and concentrated process. The body is not naturally prepared to deal with such DNA in the same way it handles the ingestion of plant or animal DNA. LIE #6: Fear-mongering accusation: The physician scientist who raised these concerns was just scaring people unnecessarily - Counterargument: Raising concerns about potential risks is an important part of scientific discourse, especially when it comes to public health. It's better to err on the side of caution and investigate these possibilities rather than dismissing concerns outright, especially when the long-term effects of mRNA vaccines are still being studied. LIE #7: Assurance that these risks are negligible: The DNA fragments from the vaccines are clinically harmless - Counterargument: The assertion that these fragments are harmless is premature. Without long-term studies specifically addressing the potential risks of vaccine-derived DNA integration, it's impossible to claim with certainty that there will be no adverse effects in the future. Paul Offit knows all of this, so WHY IS HE LYING TO THE AMERICAN PUBLIC? Please share this important video with everyone you know and DEMAND TRANSPARENT RESEARCH INTO THE QUESTION OF DNA CONTAMINATION AND INTEGRATION IN THE #COVID #vaccinated POPULATION! @P_J_Buckhaults Kevin McKernan Danny Jones Bret Weinstein Vejon Health - Dr Philip McMillan John Campbell Robert F. Kennedy Jr Steve Kirsch #AwfulOffit

Vaccine Safety Research Foundation

338,827 views • 1 year ago

We are very excited to release zerank-2, ZeroEntropy (YC W25) 's newest reranker model. 🔥 It shows major improvement on the 5 most common RAG failure modes below. Existing rerankers consistently fail on seemingly “simple” tasks: 🔢 Comparing numbers and date: “Biggest deals closed after 04/2024.” 🗄️ Aggregation: “Top 10 objections of customer X?” 🌍 Multilingual: Major pain point, especially non-English to non-English. 🙏 Instruction-Following: “Find the *counterargument* of the claim in the transcript” 🥇 Calibrated scores: You ask "what should I cook for dinner?", and "I am allergic to nuts" scores too low for your threshold. Many rerankers overfit public benchmarks, and don’t generalize to these real issues. zerank-2 outperforms existing rerankers considerably on all of these failure modes, in real production environments. With zerank-2, you get: * 15% improvement vs Cohere rerank 3.5 on Arabic/Hindi (Miraql dataset) * +12% NDCG@10 on sorting tasks (new open-sourced eval set) * +7% vs Gemini Flash on instruction-following (MAIR dataset) * $0.025/1M tokens, 150ms p90 latency at 100KB 🤗 We are open-sourcing the model weights, along with new challenging eval sets on Hugging Face. Our Elo-inspired training methodology is already open-source! We're starting a series of technical deep dives to explain various failure modes zerank-2 fixes, with concrete prod examples, methodologies, and benchmarks. First technical deep dive in the comments.

Ghita

88,409 views • 6 months ago

I just went down this rabbit hole, and it's so fascinating. So apparently, airlines have been selling your data to competitors for years. Strange right? I know, hear me out... It's called dynamic pricing. Dynamic pricing is when a company charges you a price calculated specifically for you, based on what they know about you, rather than a fixed price everyone sees. Nobody called it surveillance. The mainstream take on dynamic pricing is that it's sinister and new. Corporations secretly watching, jacking up prices, exploiting desperation. That anger is mostly right. Dynamic pricing isn't a bug that crept into capitalism. It's the entire architecture of how information asymmetry becomes profit. Airlines have always charged different people different prices for the same seat. Hotels. Insurance companies. Actuarial profiling predates the internet. What changed isn't the behavior. It's the resolution. Your battery at 8% telling Uber you're stranded is a higher-resolution version of the taxi driver who saw you running in the rain and didn't turn the meter off. The new part is the precision. They know you searched the same flight six times. They know you're on a Mac. They know your zip code and how long you've been sitting on the page. Old dynamic pricing responded to demand. Surveillance pricing responds to you. The counterargument from the market side is real. Personalization can mean discounts. But companies optimizing for revenue will use behavioral data to find the ceiling, not the floor. What are your thoughts? Is this fair or pure greed from big corp? That's a wrap. Li is a gallery for the greatest minds in economics, psychology, and history. Follow if that interests you. We are ONE genius away. -- P.S. I'm building a course on how the world actually works. Not the surface story, but the incentive layer underneath it. Who funds what. Who benefits from what you believe? Why the official explanation is rarely the complete one. Comment "yes" if you're interested in something like this. Waitlist opens soon.

GeniusThinking

38,698 views • 2 months ago

In 2019, Elon Musk sat across from Jack Ma on a stage in Shanghai. Two of the most powerful men alive. One conversation that exposed everything. Ma had a thesis. He believed it the way men believe the things that flatter them. Ma: “Humans can never create another animal that is smarter than humans.” It sounded like science. It was a prayer. Musk: “I very much disagree with that.” No heat. No counterargument. The flat voice of a man who has already run the numbers and found nothing on the other side. Ma pressed. He wanted the comfort said back to him. Ma: “Computers may be clever, but human beings are much smarter.” Musk didn’t answer. He reached for his water. Took a slow sip. Set it down. Musk: “Yeah, definitely not.” Not the words. The water. The gesture of a man who realized the conversation had ended minutes ago and only one of them noticed. Ma was voicing the deepest assumption humanity carries. That biological intelligence is the ceiling of intelligence itself. It sounds true. It feels true. It has never once been true about anything else we have ever built. We never outran predators. We built weapons. Never outswam oceans. We built ships. Never outflew birds. We built planes. Every breakthrough in human history is a tool that exceeded the body that made it. Ten thousand years of the same pattern. And now we are building the tool that does to the mind what every other tool did to muscle and bone. Ma’s objection was never technical. It was existential. If something can outthink you, what exactly are you? Most people refuse to let that question fully form. Musk lets it form. Sits inside it. Builds into it. Because he understands something Ma doesn’t. Building beyond yourself was never a flaw in human intelligence. It was the entire function of it. Every parent raises a child they hope surpasses them. Every teacher works toward the day they’re no longer needed. Creating something greater than yourself is not a threat to what you are. It is the most human thing there is. Ma looked at AI and saw something that needed to stay beneath him. Musk looked at it and saw the most human project ever attempted. That is what separated the two men on that stage. The audience laughed that day in Shanghai. They thought Ma was charming and Musk was awkward. They didn’t realize they were watching two entirely different futures sit three feet apart. Certainty is the anesthetic. It feels like clarity. It is the precise sensation of a door closing in a room you would swear is still open. Ma used the most sophisticated product of blind evolution to argue that intentional design could never exceed it. The thesis refuted itself before he finished the sentence.

Dustin

148,006 views • 6 days ago