Todd Crosslin (@JacinthLaval) header
Todd Crosslin (@JacinthLaval) profile picture

Waning poetic regarding my work as Global Principal Healthcare and Life Sciences @SnowflakeDB and #COYS @SpursOfficial. $TSLA owner and bull. #bestoic

Fort Worth, TX
Joined December 2011
Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)Photo by Todd Crosslin (@JacinthLaval)
"A good plan executed today is better than a perfect plan executed at some indefinite point in the future" - George Patton #justdoit
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At midnight on February 6th, earlier this year, the doorbell to our apartment rang. The doorbell was followed by a pounding on the door. I answered the door and a security person in our building handed me his phone. It was my oldest daughter Eloise. She had found my 26-year-old daughter unconscious on the floor of her apartment and had called 911. The EMT team was already there, but they did not know what was wrong with Lucy or to which hospital they would take her. I threw on some clothes and jumped in an Uber heading east toward Brooklyn. (Lucy lived alone in Williamsburg.) On the way, I learned that they were taking her to Elmhurst, a City trauma hospital in Queens. I arrived about five minutes after the ambulance to join Eloise, Lucy’s mom, and a friend, and waited to learn what was wrong. After about 15 minutes, I asked a nurse where she was. I looked over his shoulder to his computer. Next to her name, it said “non-responsive.” I walked into the emergency room and wandered around looking for her until I found her unconscious on a gurney surrounded by several doctors and nurses. By about 2:30am with the results from a CAT scan, Lucy’s doctors had determined that she had a massive brain hemorrhage and would need an emergency hemicraniectomy to release the pressure on her brain and remove the blood from the hemorrhage. I called our wonderful friend and family doctor Eddie Fisher and explained what was going on. He woke up Josh Bederson, Chairman of Neurosurgery at Mount Sinai, to find out more about Zach Hickman, the neurosurgeon on call that night. Dr. Bederson said Hickman was an excellent surgeon, which was comforting as we had no choice. The surgery to save Lucy’s life began around 3:15am and finished around 5:30am. It was successful. The following day, I joined Lucy in an ambulance while she was being transferred to Mount Sinai on Madison Avenue. Later that day, we determined from Lucy’s Oura ring that her hemorrhage had occurred around 9am, which meant that more than 19 hours had passed from the time of the hemorrhage to the completion of the surgery to release the pressure on her brain (I only wish @ouraring had an alert for this kind of a medical event. Imagine it could call a family member if the wearer doesn’t cancel the alert). I later learned that the standard of care is not to do surgery to save a patient with a large brain bleed if more than five hours have passed since the hemorrhage. Even when the surgery is done, I was told that the likely outcome for the patient is a few months in a nursing home and death from pneumonia. When I met Lucy’s doctors, I did my best to inspire them: “Let’s see what can be accomplished if we give her the best care possible and we invest unlimited resources to restore her to life.” And I promised that whatever we learned we would make available to everyone. Dr. Chris Kellner, her neurosurgeon, and Dr. David Putrino, Director of Rehabilitation Innovation for the Mount Sinai Health System have led Lucy’s care team since that day. Words cannot describe the remarkable and compassionate care that she has received beginning with the EMT team and then from nurses, doctors, therapists, and the army of people who have worked to save her and return her to life. To this day, we have a daily Zoom where we discuss her progress and make adjustments to her care. While her care and oversight have been incredible, the learnings for the Mount Sinai team have also been elucidating and will assist in the care of many others. Lucy began in a bad place. She was in a coma for several weeks and then awoke not being able to breathe on her own, unable to walk, see or speak. Over the last six months, she has recovered her cognition – she understands everything including her circumstance – is able to walk a hundred or more steps at a time with assistance, is making progress with sounds, vowels and consonants and the beginnings of speech, but she remains unable to see. Each day, she makes a little progress, and daily progress compounds. Every day I tell her that she just needs to make a little progress and it won’t be long before she is back. We remain optimistic that Lucy will return to normal function. It will likely take years, but I believe it is only a matter of time, hard work, and technological progress, along with some, and perhaps a lot, of divine intervention. Many people have been praying for Lucy and we are incredibly grateful for the prayers and remarkable support she has received. Lucy’s friends have been with her every day since the beginning, and their presence and friendship have saved her life and helped to rebuild and maintain her spirit. And on a very positive note, Lucy’s challenge has brought together our entire modern family who have all been incredibly devoted to her care and recovery. Lucy's vision and other faculties may require some form of brain computer interface, work that is underway at Neuralink, Precision Neuroscience, Science, Synchron, Nudge, and other companies in the space. If you are going to have a devastating brain injury, now is the best time in history for that to happen. We are living in a world when you can be confident that the blind will soon see again. We are going to do everything we can to help make that happen, including by assisting existing companies in the space. With respect to our promise to make Lucy’s care available to others, we have made good progress. In May, a real estate colleague made me aware of a 93% vacant, brand new, 400,000 square foot Class A+ purpose-built biotech facility on West End Avenue between 65th and 66th Streets that missed the market and was available for sale. The Pershing Square Foundation acquired the building 60 days later. We also put under contract an adjoining 130,000 square foot building at 320 West 66th Street that is currently being used by Saturday Night Live for studio space. The building has 35-foot ceilings with massive column-free spaces that can be converted into superb rehabilitation facilities. We will close on the SNL building in December. We are also acquiring an adjoining vacant lot with additional air rights. With just the existing zoning rights, we can add a 150,000 square feet for a total of 680,000 square feet, a lab footprint larger than Rockefeller University, and that’s without including the potential for an upzoning that would allow for substantially more buildable area on the site’s 3.4 acres with spectacular views of the Hudson. Our goal is to build the world’s greatest brain research, rehabilitation, recovery, human optimization, and longevity institute. We have named it The Ackman Oxman Institute or the AOI for lack of a better name, but also to reinforce the point that Neri and I and our family are all-in on the mission. The AOI will be patient-centric. It will not be an academic research institute that produces lots of papers, a Nobel Prize winner or two, but little if any results for patients. We will be laser-focused on cures, treatments, devices, rehabilitation and exercise equipment, and targeted and basic research with a goal of massively accelerating the time from idea to innovation to production to helping a patient. While the AOI will be a non-profit, it will have highly commercial instincts. The AOI will have its own venture funding and will work to develop innovations to create companies that we will seed, assist, and spinout to ensure technologies, treatments, techniques, and drugs get to patients as promptly as possible. On one 3.4 acre campus in what is still the greatest city in the world, we will do neurosurgery, neuroscience, rehabilitation, nutrition, BCI and device development, human trials, hyperbaric oxygen treatments, and life extension programs, and we will mandate and incentivize collaboration among the teams with no silos, politics, bureaucracy, or any other constraint that is inconsistent with the mission. Mount Sinai will be an important partner and deservedly so, but it won’t be our only hospital or medical school partner as we don’t believe any institution has a monopoly on the best ideas or the best talent. We don’t believe in exclusive relationships because that is not in the best interest of patients. Five years ago, we considered launching a brain institute inspired by Neri’s mom who sadly died from Alzheimer’s. We couldn’t make the math work as the real estate was too expensive and we believed it would be too difficult to recruit the best talent from universities to our effort. Since then, the real estate became available at a 70% discount, universities became a much less attractive place to work due to politics outweighing meritocracy, protests that disrupt learning, the curse of antisemitism, and a decline in funding. Fortunately, during the same time, I made sufficient personal economic progress to make the AOI possible. The advance of AI in the last few years will also enable us to greatly accelerate our mission. AI still has a lot to learn about human intelligence and the brain, and the AOI should be at the forefront of the interplay between the brain and AI. Today, I am making a public filing disclosing a gift from Neri and me of ~$400 million or 10,000,000 shares of Pershing Square Inc. (PS) to the AOI. It is very early days for Pershing Square so these shares are intended to anchor the long-term work of the AOI as the shares compound over time while generating what we expect will be a growing stream of quarterly dividends to fund the Institute. We will also be announcing an additional gift of similar and potentially greater size which won’t be in the form of Pershing Square stock to provide the AOI with the short- and intermediate-term runway necessary to enable it to achieve its goal of becoming a self-sustaining institute, which reinvests all of its revenues, royalties, and the economic rewards of company formation to advance the fields of brain health and human longevity. Neri and I have chosen to anchor the funding of the AOI to maintain vision alignment and limit the need for the organization to focus on fundraising. We expect the AOI to be the best-resourced brain, rehab, recovery, and longevity institute in the world. We are grateful to have been able to form a board which includes Dean Kamen (our generation’s Thomas Edison), George Yancopoulus (CEO of Regeneron), James Rothman (Nobel Laureate), Bernardo Sabatini (neuroscientist), Chris Kellner (neurosurgeon), Olivia Flatto (CEO Pershing Square Foundation), Neri Oxman, and myself. We have recently identified a CEO who we expect to announce by October along with other key hires, and are beginning searches for a Chief Scientific Officer, a Chief AI/Technology Officer, a Chief Operating Officer, a Chief Financial Officer, and other key leadership roles. If you find what we are building compelling and want to be part of the leadership team that creates and builds the AOI from a standing start, please send an email to: [email protected] with a short note as to why you believe you can help. Please include your best three ideas for the AOI along with a summary of your background and your most important accomplishments. We promise strict confidentiality to those expressing interest in working with us. We have learned from Lucy that the brain can recover from even catastrophic injury. There is so much more work to be done as the mind is a terrible thing to waste. For details from my Pershing Square SEC filing see: sec.gov/Archives/edgar/data/…
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Point a coding agent at your warehouse and it starts from scratch: inspect schemas, pick tables, infer metrics, then hopes it guessed right. Cortex Sense starts from the data products your team already built. Same eval set: 24% → 86% accuracy, with lower cost per question. The only thing that changed? Context. Full eval breakdown: bit.ly/4hLWxU7
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In Germany, a talented 14-year-old earns his club money. In America, his parents pay the club $15,000 a year. That single inversion explains why "we will not" is the most accurate line ever written about US soccer. FIFA built a global system for this. Training compensation and solidarity payments send a cut of every transfer fee back to the clubs that developed the player, from age 12 onward. Develop one future pro and your academy gets paid for a decade. Barcelona's La Masia, Ajax, every Bundesliga academy runs on this logic. The kid is the asset. US Soccer refuses to enforce those rules. When Seattle's Crossfire Premier claimed its $60,000 share of DeAndre Yedlin's transfer to Tottenham, it got nothing. Claims on the Dempsey and Bradley transfers died partly because the federation couldn't even produce the youth training records. So American clubs earn zero dollars when a kid turns pro. They earn when a kid enrolls. Which makes the parent the customer, and the product is whatever keeps the parent writing checks: travel tournaments, hotel weekends, $500 showcase events, private training at $100 an hour. Elite pathways run $8,000 to $20,000 a year. A comparable academy spot in Italy costs about 120 euros. Follow the incentive one level deeper and it gets darker. A club dependent on fees can't cut its weakest paying players, so rosters optimize for retention over development. The scouting pool shrinks to families who can afford the cliff, which appears around age 11, exactly when development matters most. The country runs a talent filter sorted by household income instead of ability. Every four years someone proposes fixing this. The proposal always requires the people profiting from the $15,000 model to vote themselves out of business. They will not.
“And every four years when the World Cup comes around, we will say that we’d dominate if we had a stronger youth program.” “And will we develop a stronger youth program?” “We will not.”
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The future of drug discovery isn't a single AI model. It's agentic AI that can reason, plan, and execute scientific workflows on governed enterprise data. See how Snowflake + @nvidia are bringing agentic AI to life sciences with the BioNeMo Agent Toolkit ↓ bit.ly/4xRIwKv
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Key post that gives a bit of insight into what the future of AI could look like. “The most interesting thing happening in AI isn't that one model is getting smarter. It's that intelligence is becoming increasingly customizable. The companies that win won't necessarily be the ones with the biggest models. They'll be the ones that turn intelligence into something uniquely their own.” The ability to combine your unique data, workflows, and a layer that can route intelligence to whatever model best performs the task is clearly the future.
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This AI just exposed the BIGGEST legal insider trading operation in America. A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact. It scored all 540 politicians currently in Congress. And the numbers are crazy: 56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases. More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide. 343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information. That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison. The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once: The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry. Bills carrying these insider indicators pass at 5.4 TIMES the normal rate. Now look at the individual leaderboard: - Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100 - Ro Khanna made 13,231 trades across 800+ different tickers - Michael McCaul made 32,302 trades and filed 6,670 of them late - Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked. She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO. The penalty for all of this? A $200 fine. The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero. And the cruelest part is this: A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed. But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is. They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing. The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.
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AI agents are entering the enterprise fast. So are new security risks. We're solving for that, with new AI security innovations built to help organizations secure the agentic enterprise at scale, including: • Agent Identity for auditability and near real-time access restriction • Horizon AI Guardrails for prompt injection protection • Data Movement Policies to help prevent unauthorized data exfiltration • Multi-Party Approval and Snowflake Backups for stronger ransomware resilience • AI Security Posture Management and Compliance Reporting in Trust Center • CoCo security skills for conversational security administration and remediation Learn more: bit.ly/43V5rXj
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It’s official…welcome to Snowflake, @natomalabs! We’re bringing Natoma’s enterprise MCP platform for AI agents to Snowflake, making it easier to securely connect AI to tools like Slack, Jira, email, calendars and workflows through Snowflake Intelligence and Cortex Code. More info ICYMI: bit.ly/4frxZiq
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The momentum at #SnowflakeSummit is only building. 🚀 From product launches to customer stories and hands-on demos, we showcased what it takes to build, secure, and make AI real for business. Dive into the news 👉🏻 bit.ly/4ubWIe4
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To become an Agentic Enterprise, you need an Agentic Control Plane. That’s what Snowflake Intelligence and Cortex Code deliver. Snowflake Intelligence gives business users one place to access data and take action across apps using natural language. CoCo helps builders turn ideas into pipelines, apps, and agents grounded in enterprise data. These are the building blocks of your agentic control planes. #SnowflakeSummit
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And this just in ... Snowflake and @AnthropicAI are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations: bit.ly/4ufu6kd
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We caught up with @RamaswmySridhar ahead of #SnowflakeSummit and got a download on what it takes to make AI real for business. Catch the digest and get the full download throughout #SnowflakeSummit👇 bit.ly/3PMzptl
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Tomorrow we kick off #SnowflakeSummit in San Francisco and the energy is already electric. ⚡ Over the next four days, 500+ sessions and 190+ partners are coming together to make AI real for business. Make sure to join the livestream to hear all the latest news and updates from our keynotes 👉🏻 bit.ly/4dTIjgp
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Snowflake Dev Day is back! Experience AI in action with talks from industry trailblazers to hands-on bootcamps – all free – on June 4 in San Francisco. Check out the agenda and save yourself a spot by registering today: bit.ly/4u2shrx
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Crafting a lightsaber is every Jedi's dream. For builders, it's the clean deployments, short stack traces, and pipelines that just work. So from the Snowflake crew, and CoCo too, here’s to solid schemas, smooth workflows, and code that runs right the first time. May the 4th be with you.
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Replying to @John_Hudson
We all have our superpowers. Mine are just easier to spot than others.
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An 18-month migration is a marathon nobody wants to run. @CHGHealthcare finished it in three months instead. 🏃‍♂️ With the Snowflake AI Data Cloud and Datafold, they cut costs by 80% while validating 1,000+ queries with total confidence. Read more 👉🏻 bit.ly/4eIjLZT bit.ly/4eIjLZT
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The leaders shaping what’s next in AI are taking the stage. At #SnowflakeSummit 2026, hear directly from pioneers across Snowflake, @AnthropicAI, and leading global enterprises as they share how AI is moving from idea to real-world impact. Keynote speakers are officially announced. Now it’s your move. Register now → bit.ly/41K8Vep ❄️
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Open formats shouldn’t mean more overhead. Snowflake Storage for Apache Iceberg™ on @awscloud & @Azure is now publicly available—bringing enterprise-grade reliability, resilience, and governance to open data. All the interoperability. None of the complexity. Learn more: bit.ly/4csRio5
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