Kevin Wimer (@kevinace) header
Kevin Wimer (@kevinace) profile picture

Made enough $. Still building. Serial entrepreneur · 350+ angel investments · Founder mode on my stage 4 cancer. Betting big on a better future.

Dayton, OH, USA
Joined March 2009
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The CEO of Eli Lilly says cures are "not likely." Bold prediction from the guy selling refills. An industry that earns more treating you for 30 years than curing you once is never going to be the one yelling "faster." That's our job.
I think that would be amazing and I think it’s not likely. The map of biology is still largely a blank page and randomized human proof is the long pole in the tent. I am excited about the use of AI in our sector but progress will likely be steady and incremental.
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I’m not anti-big pharma by any means. I like this guy as a leader and they have some great products. But incentives drive outcomes.
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Into November and shit is still hitting the fan: - Constant pain/discomfort/numbness around left lung - Brutal chest pain around my heart and sternum - Pain with most breaths. Dry cough. - Mental battles "tough it out" or "go to ER" A part deep within me begs for some return to normalcy. No pain. No discomfort. Makes me smile just thinking about the possibility. But I cannot let it consume me. Can't just sit around and feel bad for myself. I have to show up for myself, and my family. So today, I go to the gym. Today, I go outside and play PIG 🏀 with the kid, a best of 3 that always turns into best of 5 as I go up 2-0. This is the only way. Action and forward movement. And I tell myself always, this too shall pass.
2026 so far: - After 18 months, my first cancer drug stopped working. Stage 4 progression. - I had radiation in February and March. The pain showed up months later, and it hasn't let up. - My mom went in for a surgery in January that was supposed to take 1–2 months for recovery. She went from active to barely able to walk, then spent time in the ICU. She lives with us now while we wait on assisted living. - My dad, an amputee from his own cancer, has declined right alongside her. I manage his meds, his mobility and his care team. It's almost daily. - Our dog of 14 years got cancer, and we had to put her to sleep. - My wife and I are raising a 12-year-old who's in school full time and plays competitive basketball. - And somewhere in there we fostered a dog and two nightmarish but adorable litters of 5 puppies. The pain is the part nobody sees. It's there most of the day, every day. It hurts to sleep. It hurts to move. It hurts when my kid wants to play, and I play anyway. Some meds help, but I try to avoid them so I don't build a dependency. Nerve block injections have been a life saver. Here's what I've figured out. I can feel sorry for myself, or I can accept what's out of my control, take action, and keep moving. I choose the second one. It's just a better way to live. I still go to the gym. I still play tennis. I still play with my kid and take him to basketball. I still crush him in games of PIG (little shit thinks he's better than me...not yet young one). I believe movement is helpful for getting out of the pain, not something I wait to do until the pain is gone. I don't think I'm exceptional. I've just been handed a lot at once, and I keep showing up and moving forward. It's the only way. Whatever you're carrying right now, this too shall pass. Take action. Keep moving forward.
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Hold up… Marvin my little Meta Muse agent is snitching on Claude!! With that wise ass little face too 🤨
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He may or may not be right. But shouldn’t we do everything in our power to find out?
Anthropic CEO predicts cancer, Alzheimer's, heart disease, mental illness will be cured in less than 10 years ACCELERATE
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HOLY SHIT! AI just found a hidden mRNA delivery system inside the human body. Every mRNA vaccine today ships inside a fake shell your body sees as foreign. That's why you can't take them forever. So AI searched all ~20,000 human proteins for a better one. It found 512 candidates. Scientists tested 15. 12 worked. The delivery truck was inside us the whole damn time. Still early, just cells in a dish. But imagine cancer vaccines your body never fights back against, that you can take for as long as you need. nature.com/articles/s41467-0…
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I’m at the age now where I care a hell of a lot more about how I look on a CT or MRI than I do in a picture 🤷‍♂️
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I have stage 4 cancer. I thought I'd fight it alone. I was wrong. Since mid October, ~20 strangers on X have stepped up to help me. All for free so far: - An NYU Langone lab offered to run my tumor data through their system to sharpen my vaccine targets - A U Michigan lab offered to test drugs on my actual tumor cells - A biotech ran AI analysis on my tumor RNA - A vaccine company offered to design a second vaccine to check the first one Scientists. Engineers. People I've never met. Cancer has been picking us off one at a time for all of human history. It counts on us fighting it alone, scared and quiet. Not anymore. We have AI. We have the internet. We have each other. Cancer, we're coming for you, bitch. Buckle up!
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If you want the whole vaccine story, I wrote it up: how the 25 targets got picked, the roughly $200K price tag, and why I'm waiting on my next CT scan before deciding. And overall this site is intended to provide helpful info for cancer patients and families kevinwimer.com/cancer/resour…
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Fable 5.2
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
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What if AI could test a drug in 1,000,000 simulated people in 100 seconds for ~$1,000? Getting a drug approved costs a shit ton and takes years. An estimated ~$1.6 billion per approved drug and ~10.5 years from the first human trial to approval for successful programs, with ~92% never reaching the market. Clinical trials today: recruit patients, coordinate hospitals, run tests, monitor side effects, wait for outcomes, repeat. Now imagine if AI could accurately predict years of human biological outcomes. Assume each simulated person’s response takes one GPU-second: • 1,000,000 simulated people: ~278 GPU-hours. • 10,000 GPUs working in parallel: 100 seconds. • At ~$4 per GPU-hour: roughly $1,000. $1 million buys ~900 different drug screens, each across a million modeled people. Suddenly we can investigate: 1. Old drugs nobody can make much money selling. 2. Combinations nobody wants to bankroll. 3. Rare diseases without a giant payday. We don't know how many good ideas die before human testing because nobody can justify the bill. How much medicine are we leaving undiscovered because finding out whether it works costs more than anyone expects to make selling it? "But Kevin, simulating human biology is impossible. Especially across time!" Perhaps. But many things that we thought impossible a few years ago are already happening today.
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Turns out the fastest way to get blocked by an ivermectin guy is to post the data.
I see miracle ivermectin cures everywhere. "Nothing else worked." "Doctors are hiding it." So I went through every human study I could find. The biggest "real-world" study was pulled a month ago. Here's what's real and what's hype.
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I see miracle ivermectin cures everywhere. "Nothing else worked." "Doctors are hiding it." So I went through every human study I could find. The biggest "real-world" study was pulled a month ago. Here's what's real and what's hype.
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And one of the "doctors" (currently banned from practicing medicine in Alberta) working with ivermectin blocked me within hours of this being posted. Strange. xitter.twitterapi.xyz/kevinace/status/211984…
Turns out the fastest way to get blocked by an ivermectin guy is to post the data.
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Prior authorization is when your doctor spends a week proving to a stranger that you need the thing your doctor already said you need.
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For years I was depressed and couldn't tell you why. I had a wife I love, a son, our dogs, a good home and a career. On paper I had everything. Rationally it made no sense. But I woke up every day with zero optimism and no real reason to live. So I tried to fix it. I tried everything people tell you to try: - SSRIs - Therapy - The gym - Meditation - Cold plunges (that's me smiling through one) - Long walks - A clean diet - Breathing exercises None of it pulled me out. Then in July 2024, with a son who was only 10, I was told I had stage 4 lung cancer. You'd think that would be the bottom. It was the opposite. That same day I felt more alive than I had in years. Something was trying to kill me, and for the first time in forever I had something to fight. I was on a mission. This sure as shit wasn't going to kill me early. Today the little things make me happy. I have drive and ambition. I look forward to the future, and I want to help build it. Here's what I learned. Staring at my depression and trying to analyze my way out never worked. What worked was finally having something that lit me up and pushing toward it. Don't wait for a diagnosis to find yours. Don't have that thing? Go find it. Try new shit. Change careers. Change your daily habits. Make new friends. Travel. Make a major life change. Keep mixing it up until something gets you fired the fuck up. Then chase it. That's how I got out.
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A cancer drug designer just told me AI makes his work ~100x more efficient and ~100x more effective. Not some AI hype guy. Matt Soellner is a University of Michigan chemistry professor who's spent almost 20 years designing the kind of drugs that keep people like me alive. A year ago he thought these AI models were silly. Now he calls the last 3 months the highlight of his career. When a guy like that says 100x, buckle up. Cures are about to start coming at a pace nobody's ready for!
Yesterday I posted about working with an AI scientist to find new ways to fight my cancer. A chemistry professor at the University of Michigan saw it and emailed me. Matt Soellner @mbsoellner works on the exact kind of lung cancer I have. He offered to synthesize compounds and test them in cells and animals. A lightbulb 💡 goes off above my head. Obviously...I MUST introduce Matt to Jan. Andddd by this morning, they're talking about how to take an AI-designed molecule off a computer screen, make it in a lab, and find out whether it can fight my cancer. EXCUSE ME!? Less than 24 hours after my post. We haven't made a drug. We don't know whether any of this will work. Making and testing compounds will take months. But Matt saw a patient trying to find a way forward and chose to help. He brought the ability to make and test things that might otherwise never leave a computer screen. I'm sharing this as it happens because this is what gets me excited about AI. I can put my story out there, connect people with different skills, and help move an idea toward an actual experiment against cancer. I deal with the every day bullshit from cancer as a patient but have realized there's an army of incredible people out there working hard behind the scenes on treatments and cures for people like me and millions of others. It's an honor and a privilege to bring their efforts out for the world to see. AI is accelerating what these scientists can do. I'm just the human meat proxy making introductions and sharing the story. But if that helps get a promising idea off a screen and into a lab faster, I'll take it! 🥩
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RECEIPTS so everyone doesn't just think I'm making shit up. His email to me, shared with permission.
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Replying to @jandom_random
@jandom_random is using AI to find new compounds for my cancer. @mbsoellner says making and testing one takes ~3 months. Robots won't make biology instant...they'll test 100s of ideas at once, run all night, and kill the dead time between experiments. WE ARE ACCELERATING!
AI now generates molecules far faster than the wet lab can test them. The bottleneck in #AIxBio has shifted. That’s why we've built one of the world’s largest self-driving lab fleets: 300+ workstations running 24/7, generating data 40x more efficiently.
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~100K of you saw me dunk on the dewormer crowd. What does fighting cancer actually look like? An AI scientist designing brand new compounds for my cancer, and a chemistry professor offering to make and test them in his lab. Real science gets tested. Horse paste gets sold to desperate cancer patients.
I have stage 4 lung cancer and never smoked. It's driven by one gene fusion called ALK that scientists only discovered in 2007. By 2011 there was a pill that targets it. I'm on the third generation of that pill now and it's the reason I'm still here. The wellness crowd has pushed ivermectin and fenbendazole on me more times than I can count. Not one of them could tell me what either drug does to the EML4-ALK fusion.
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The whole scientist designing and chemistry prof making/testing was coordinated through X just days ago…which is crazy xitter.twitterapi.xyz/kevinace/status/211885…
Yesterday I posted about working with an AI scientist to find new ways to fight my cancer. A chemistry professor at the University of Michigan saw it and emailed me. Matt Soellner @mbsoellner works on the exact kind of lung cancer I have. He offered to synthesize compounds and test them in cells and animals. A lightbulb 💡 goes off above my head. Obviously...I MUST introduce Matt to Jan. Andddd by this morning, they're talking about how to take an AI-designed molecule off a computer screen, make it in a lab, and find out whether it can fight my cancer. EXCUSE ME!? Less than 24 hours after my post. We haven't made a drug. We don't know whether any of this will work. Making and testing compounds will take months. But Matt saw a patient trying to find a way forward and chose to help. He brought the ability to make and test things that might otherwise never leave a computer screen. I'm sharing this as it happens because this is what gets me excited about AI. I can put my story out there, connect people with different skills, and help move an idea toward an actual experiment against cancer. I deal with the every day bullshit from cancer as a patient but have realized there's an army of incredible people out there working hard behind the scenes on treatments and cures for people like me and millions of others. It's an honor and a privilege to bring their efforts out for the world to see. AI is accelerating what these scientists can do. I'm just the human meat proxy making introductions and sharing the story. But if that helps get a promising idea off a screen and into a lab faster, I'll take it! 🥩
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When I heard "stage 4" in July 2024, I thought for sure I'd be dead soon. Months. Maybe a year. My son was 10 at the time. Was I going to see him graduate? Nope. My elderly parents were going to outlive me? God damnit. Even my aging Goldendoodle was going to outlast me? Embarrassing! 2 years later, on oral meds and radiation, I'm not dead yet. If you'd asked me on diagnosis day if I'd still be alive today...I'd have said NO CHANCE.
“Stage 4 cancer" gets heard as a death sentence, but it isn’t one. It’s a description of location. Staging answers a single question: where is the cancer? Stage 4 means it has spread beyond the organ it started in, and nothing more than that. It doesn’t tell you how aggressive the tumor is, what drives it or how long someone has. We hear it as a verdict because for a long time it mostly was, and that has changed unevenly. Metastatic testicular cancer is cured in around 90% of men, and advanced Hodgkin lymphoma is similar, both were near-uniformly fatal a few decades ago. Colorectal cancer that has spread to the liver or lungs can sometimes be removed surgically, with people disease-free a decade later. Metastatic melanoma used to kill within months and now has patients off treatment years on with clean scans. Ofc, for several cancers, stage 4 remains incurable: Pancreatic cancer in that stage won't be cured for most patients despite recent progress. But incurable and untreatable are different words, and confusing them costs people time they could have had. When you look up survival statistics, you are reading history: a 5 year figure published today describes people diagnosed seven to ten years ago and treated with what existed then. Where treatment has moved fast, that number is systematically pessimistic about the person sitting in front of me, because the patients living the current numbers haven’t been counted yet. So the questions that matter aren’t about the number. What’s the molecular profile of the tumor, is there a targetable driver, is there a trial, can anything be removed or radiated? Stage 4 is where the cancer is. It isn’t how long you have.
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AI will kill millions of jobs. Then it will make you richer than any king in history. Doomers won't like this one. They never do.
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For anyone curious about the money you make in the X Original Content Rewards Program, here you go. $127.55 That was my payout for the 2 weeks of Oct 21 to Nov 3. Against 3.2M impressions, that works out to: ~$40 per million impressions ~$9 a day Don't quit your day jobs! 😂 I'm obviously not posting for the money. Sharing my journey and what I'm learning has connected me with more cancer patients, families, and caregivers than I could have imagined. Hearing that something I've shared helped them has made this worth it. And now I'm connecting scientists who might help turn ideas into actual experiments against cancer. I'm learning as I go, sharing what I can, and finding ways to help beyond my own treatment. That's worth a lot more to me than the payout.
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