Sabrina Halper
@SabrinaHalper • 18,786 subscribers
Conversations at the frontier 🎙️🔮, Investing on the side.
Videos
We still have no idea what the human brain is truly capable of. Reed Jobs shares one of the wildest neuroscience stories I’ve ever heard.
Sabrina Halper1,488,830 просмотров • 3 месяцев назад
New Mexico’s $75B sovereign wealth fund, built on oil and gas money, is on track to become the largest in the U.S. by 2030. How do you diversify from oil and gas into a new generation of companies and industries? I went to New Mexico for 24 hours to see how the state is working with the private sector to attract some of the world’s most innovative hard tech companies, and how it’s building on a scientific legacy that goes all the way back to Los Alamos. New Mexico has become the first state to offer universal no-cost child care, and is working with community colleges to train local residents for jobs in advanced manufacturing and emerging industries. FEATURED IN THIS EPISODE • Augustus Doricko founder and CEO of Rainmaker Technology Corporation • Adam Grosser, chairman and managing partner of UP.Partners • Carrie von Muench, co-founder and COO of Pacific Fusion • Rep. Meredith Dixon, New Mexico House of Representatives • Reliable Robotics • Brian Adamsco, founder and managing partner of UP Abundance
Sabrina Halper155,093 просмотров • 15 дней назад
I sat down with Ali Ansari (Ali Ansari), the 25-year-old solo founder and CEO of micro1, which just passed $1B in ARR. It all began when Ali moved from Iran to the U.S. at age nine without speaking English, going from flipping textbooks to building one of the fastest-growing AI data companies today. * Are experts training their replacements? * How to teach AI subjective judgment * Knowledge isn't static; we'll always need new data to align AI * The robotics and real world data bottleneck * The high stakes of selling training data to China * Whether the AI economy can justify the infrastructure build-out TIMESTAMPS 00:00 Intro 02:56 Growing up in Iran and moving to America 07:37 From eBay to textbook flipping 13:54 Building micro1 and the pivot to training data 19:39 Why internet data is the worst data 22:41 Are experts training their replacements? 29:27 Creativity, alignment, and subjective judgment 36:01 The robotics data bottleneck 45:11 Ordinary vs. Extraordinary Training Data 43:56 America selling data to China 53:56 $1B in 2.5 years 56:53 Can the AI economy deliver?
Sabrina Halper155,542 просмотров • 29 дней назад
"I think half the co-founders of Anthropic were theoretical physicists. Jared Kaplan was exactly in the same area of physics as I was. Dario was in physics back in the day, also at Princeton, but he was more on the bio side. There's been an exodus of physicists to more interesting problems, and I think that's for a good reason" Why Matan Grinberg dropped out of his physics PhD at Princeton
Sabrina Halper288,311 просмотров • 2 месяцев назад
"The mathematics of string theory is probably one of the most beautiful artifacts humanity has created. In order to even produce something in theoretical physics, there's hundreds of years of literature that you need to catch up on, and also every day there's, 100 new papers that come out. And before you can contribute to theoretical physics, you need to know basically all of math, like algebraic topology, differential equations, algebraic geometry, and these are all things that people will spend their careers going in on, and yet to do the physics, you need to at least have, a pretty deep understanding of these things. And so it really teaches you how to have, good judgment with minimal information." Matan Grinberg studied physics for a decade, eventually dropping out of his PhD focused on string theory to found Factory.
Sabrina Halper237,521 просмотров • 2 месяцев назад
Founder of Signal, Moxie Marlinspike Marlinspike on Telegram: "Telegrams not a private messenger. There's nothing private about it. It's the opposite. It's a cloud messenger where every message you've ever sent or received is in plain text in a database that telegram the organization controls and has access to it" "It's like 'Russian oligarch starts unencrypted version of WhatsApp', a pixel for pixel clone of WhatsApp. That should be kind of a difficult brand to operate. And somehow, they've done a really amazing job of convincing the whole world that this is an encrypted messaging app and that the founder is some kind of Russian dissident, even though he goes there once a month, the whole team lives there, and their families are there." " What happened in France is they just chose not to respond to the subpoena. And so that's in violation of the law. And, he gets arrested in France, right? And everyone's like, oh, France, but I think the key point is they have the data, like they can respond to the subpoenas where as Signal, for instance, doesn't have access to the data and couldn't respond to that same request. To me it's very obvious that Russia would've had a much less polite version of that conversation with Pavel Durov and the telegram team before this moment. "
Sabrina Halper898,416 просмотров • 9 месяцев назад
“You should’ve been worried yesterday.” - Jacob Kimmel on the risk of bioweapons, & Anthropic’s approach to limiting Fable’s responses: -You should’ve been terrified of bioweapons yesterday. They’re one of the highest-leverage ways to inflict massive damage, and we’re still woefully underprepared. -Making a bioweapon requires three things: knowing what to make, knowing how to make it, and actually pulling it off in a lab. -Steps 1 & 2 are increasingly accessible. The real bottleneck is step 3: physical reality. Lab work is hard. Most experiments fail. Materials are tightly regulated and difficult to obtain. -AI barely changes that physical layer. Claude can’t ship you research chemicals or make your experiments work. -The scary story is that AI lets a lone smart misfit do it. But the overlap between people capable of clearing the physical hurdles and people who couldn’t already find information on dangerous pathogens is probably pretty small. -Realistically, the highest-consequence bioweapon efforts still require something closer to nation-state resources. -People also worry AI could help design novel pathogens. That’s worth taking seriously. But there are already plenty of naturally occurring pathogens we don’t have immunity to. -Bottom line: I’d rather be too cautious than not. But AI didn’t suddenly create this risk - it has always been there.
Sabrina Halper54,034 просмотров • 4 месяцев назад
Israel’s elite military tech units have produced many of the world’s largest cybersecurity companies. Unit 8200 alumni have gone on to start Wiz, Check Point, Palo Alto Networks, CyberArk, Imperva, and many more. And 3% of graduates from the elite Talpiot program have founded unicorns. Wiz co-founder Yinon Costica explains why these programs have become such powerful talent ecosystems, and what you actually learn during those years.
Sabrina Halper18,792 просмотров • 1 месяц назад
Bowhead whales can live for over 200 years. Greenland sharks can live for up to 400. There’s even an immortal jellyfish that can reset its own life cycle. Nature has already solved longevity in dozens of different ways. What can we learn from these species in our own quest to live longer, healthier lives? Jacob Kimmel of NewLimit shares his take.
Sabrina Halper41,947 просмотров • 4 месяцев назад
.Moxie Marlinspike marlinspike: "I think that LLMs are one of the first technologies to actively invite confession. And so the idea behind Confer is to do something similar to Signal of building something that allows people to avail themselves of the utility and awesomeness of LLMs, but to do it in a private way. It’s an end to end encrypted version of AI chat where you can interact with AI chat like you would with chatGPT. But all your conversations and conversation history are private and only, so only you have access to them. It’s using open source models.” Moxie was hired by Meta to integrate Confer’s privacy technology in their new AI products like Muse, a decade after Moxie worked with Meta to bring the Signal Protocol to WhatsApp. *Recorded in January, in the middle of the ocean, from a floating sauna Moxie built himself.
Sabrina Halper22,811 просмотров • 2 месяцев назад
Ken Liu Ken Liu on how modern explanations to questions like "why do we dream?", "why do I love this person?", "why are we here?" explain everything while explaining nothing at all. Science can explain mechanism. It can't explain meaning. Stories create meaning. Modern states ask citizens to die for them all the time - for the sake of a story. Humans will die for a story. It's the only thing humans have ever willingly died for.
Sabrina Halper62,733 просмотров • 10 месяцев назад
"We have this long term vision of turning biology from something which is trial and error and experimental and make it something that looks more like an engineering discipline in the next century." New Episode with Jack Dent ! 0:00 Intro 02:28 Inside Stripe w/ Patrick Collison, at <100 People 08:45 Sam Altman role in Chai Discovery origin 16:20 Chai-2 Antibody Breakthrough 19:24 Approaching biology as an engineering problem 24:45 Using AI models to treat people on an individual scale 26:52 Robotics in labs 27:22 Pharma industry today 29:49 The clinical trial bottleneck 32:53 Personalized biology models & cancer vaccines 36:24 Longevity, peptides, and trillion-dollar drugs 39:02 Does it matter that the government cut exploratory science grants? 41:00 What next-gen Chai models will do 42:08 Can frontier AI labs build this themselves? 43:26 Biology is hard
Sabrina Halper39,998 просмотров • 5 месяцев назад
Stripe's leaked investor letter stated that the singularity began on January 1st, 2026. What actually changed? OpenRouter CEO Alex Atallah (Alex Atallah) explains - "If you go to our rankings page, there's a little button that says linear versus log on our tokens. and if you click on log, you'll see that, it was growing until January 1st, and then the slope dramatically picks up... there really was a change of growth, like acceleration that happened around January 1st." "I told the whole company, 'Hey, something insane has happened. We have to change the way we work, and, if you're not using agents most of the time, like if you're using autocomplete, it's time to switch. We have to give ourselves more leverage here. it's out there and the tooling is just primitive'... in many ways it changed the company."
Sabrina Halper13,375 просмотров • 1 месяц назад
.Dwarkesh Patel's episode with Eric Jang is awesome. Eric has a rare gift for making complicated ideas feel simple, which is exactly what struck me when I first met him at a dinner and immediately peppered him with questions. If you are looking to hear more from him, listen to our conversation from a couple years ago! "The history of neural networks and actually many things in AI have been inspired a lot by biology, like genetic algorithms, evolutionary algorithms, processes in both neuroscience and psychology and biology and so forth. I think drawing from nature is a great way to get inspiration... And this is going to get me a lot of flack from the scientific community, but I feel like in the last decade and a half-ish of deep learning progress, the vast majority of major contributions have come from people who did not really adhere to that way of thinking, but more like, how do I push as much data as fast as possible onto my GPU? It just empirically seems to me that people who are very attached to the idea of replicating a particular nature inspired architecture at the expense of enabling brute force compute... do not make the best algorithms. There's this essay by Sara Hooker called the the hardware lottery where it's arguing that people who focused on maximizing and designing their algorithms to suit the hardware so that it could run the brute force thing as fast as possible tended to win. "
Sabrina Halper39,759 просмотров • 5 месяцев назад
So much discussion about whether we should be using Chinese open-source models in the US. But how could they actually hurt us? Matan Grimberg Matan Grinberg breaks down the biggest risks- 1. Intentional vulnerabilities. A model could contain backdoors, sleeper behavior, or other weaknesses deliberately introduced into the weights, potentially sitting dormant until the right conditions trigger them. 2. Unintentional vulnerabilities. A model built in China will naturally be trained and optimized around Chinese users, codebases, languages, and data. It could perform incredibly well overall while having subtle blind spots or security weaknesses in Western systems that nobody intentionally put there. The third we may not know for years. The most concerning failures might not show up in today’s benchmarks or security evaluations. If models become deeply embedded across companies and infrastructure, vulnerabilities could emerge only after we’ve become dependent on them.
Sabrina Halper17,244 просмотров • 2 месяцев назад
Jack Dent story time - his path from high school in the UK to founding Chai is pretty amazing: - Cold-emailed Stripe as a teenager - Daniela Amodei was running Stripe’s careers inbox and forwarded his email to Patrick Collison - Interned on Stripe’s payments API and eventually became the only engineer working on it - Greg Brockman walked around the office with no shoes - Met Joshua Meier while at Harvard. Years later, Sam Altman Facebook-messaged him about Josh when he was leaving OAI - asked if he could be convinced to stay or start a company ... All of it became part of the path to co-founding Chai Discovery a few years later. Early Stripe was a talent epicenter Daniela Amodei Patrick Collison Greg Brockman Sam Altman
Sabrina Halper33,476 просмотров • 5 месяцев назад
Looking back on this clip when I interviewed Tarek Mansour 4 years ago We talked about how much conviction it took to build a company that had to wait 3 years for regulatory approval before it could even launch. And about the faith system that kept him and Luana Lopes Lara moving forward through it all. Prayer? Manifestation? Just an irrational belief that it would work? A very clear example that the world favors the optimists.
Sabrina Halper20,162 просмотров • 3 месяцев назад
Congratulations Chai Discovery - entering a golden age of biology
Sabrina Halper22,222 просмотров • 4 месяцев назад
"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks
Sabrina Halper22,082 просмотров • 4 месяцев назад