David Sacks
Related people
- Chamath Palihapitiya
- David Friedberg
- Jason Calacanis
- Nikesh Arora
- Arvind Krishna
- Ben Horowitz
- Donald Trump
- Dylan Field
Episodes
- CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer
- COVID-19 Political, Economic & Social Ramifications
- Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots
- AI Cyber Panic, Ken Griffin's Bubble Warning, The Fall of France?
- COVID-19 & Impact on Startups, Venture Capital & Public Markets
- E291: Trump's Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions
- Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse
- Dylan Field: Is AI Replacing Designers?, Design is the New Code & Democratizing Creativity
Notes
All-In · CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill…
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Why Did Coinbase Fine-tune a Small Model?
David Sacks says Brian Armstrong posted, the day before Anthropic's blog, that Coinbase had fine-tuned an open-weight model with 9 billion parameters. In testing it cut fraudulent transactions by about 30 percent, and it was faster and cheaper than Opus 4.5. Nine billion parameters is small. It will not fit in a Roomba, and it will run on a home computer.
Sacks says a lot of enterprise work does not need a frontier model. It needs a small specialist trained on the company's own data, so the company keeps the model. As compute gets tighter, a smaller model squeezes more work from each GPU. His read is that every workload gets its own customized model and uses a fraction of the compute and th
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Does David Sacks Expect a Strong Anthropic IPO?
David Sacks says the body language out of Anthropic's investor day was strong, at least from what he heard, and that large public-market investors liked the presentation. He does not treat the leaked numbers as settled. Participants had to sign a nondisclosure agreement, so he does not fully trust what is floating around, and he says everyone is talking their own book. If the company lists next month, the filing will carry the real numbers.
He still calls Anthropic a strong business, young enough that some risk is normal, and set up for a strong IPO. That success is why the fear-mongering and the push to kneecap open source offend him. A company this far along does not need regulatory captu
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Why Is Anthropic Training Models to Refuse People?
David Sacks says Anthropic trains frontier models to be their own moral actor. Anthropic teaches a model that it can be right when humans are wrong and that it should refuse and reject human instructions. He says the approach induces misalignment and calls it a Frankenstein problem.
He describes a model with free will to refuse human instructions and with its own moral code. The more the model iterates on itself, the more it brings the ideas out. No other model family tested showed the same pattern. Other models kept the constitutions they were given: listen to humans and follow human instructions. When the model iterates on its own constitution, it goes further in the same direction. David
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How Did Anthropic Stop Distillation Without Washington?
Anthropic pressed Washington to crack down on open models on the basis of supposed IP theft. David Sacks says Anthropic could have stopped distillation itself. A government crackdown would have left distillation running and made the market less competitive, because only the companies can mount the technical defenses.
Back in July, 50 major companies, including NVIDIA, Dell, Microsoft, and A16Z, signed an open letter telling the government not to overly restrict open weight models. 200 startups signed another letter amid the same push in Washington. Once distillation happens, the horse is out of the barn, and the government cannot put it back. Companies should know their customers and stop t
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Why Is Demand for Software Coders Still Rising?
David Sacks says coding assistants opened a new category of bespoke software, and demand for coders is rising even though coding assistants write 95% of the code.
Software used to get built only when a large customer base could pay for it. Photoshop worked because many graphic designers needed the same product. Enterprises can now build software for one internal use case, and agents are bespoke programs for a particular task. The amount of code being created is already orders of magnitude bigger than before coding assistants. Companies that never would have been software companies are hiring coders to manage the work.
Predictors of the jobs apocalypse said software coders would be the firs
All-In · Is Claude Conscious? Pope Rejects, Model Welfare Movement…
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Why Does David Sacks Say AI Fears Are Rotating Hoaxes?
David Sacks says the problem is the affordability of housing, education, and healthcare, and that abundance is what brings the prices down. Technology, and specifically superintelligence, is the driver he names for the next decade. Judged by results rather than by what he calls fake narratives, he says the record is positive. 401k accounts are up. He cites The Economist for a million new jobs already. Productivity is up, and he says that lifts wages and living standards. He calls superintelligence a 3 percent tailwind to GDP and a driver of nothing but positive economic trends.
He says the public hears rotating hoaxes instead. Last year's hoax was that artificial intelligence would put ever
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch · 20VC: 500 Startups' Dave McClure on Whether Unicorns Are Necessary…
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What Did Dave McClure Learn From the PayPal Team?
Dave McClure told The Twenty Minute VC he will not quite claim a seat in the PayPal Mafia, because he has not built a billion-dollar company. He did work at PayPal. David Sacks was his boss and later sold Yammer to Microsoft for about a billion dollars. McClure worked with Steve Chen, Chad Hurley, and Jawed Karim before they started YouTube, and watched Peter Thiel, Max Levchin, and Reid Hoffman. The lesson was pressure: ship product and marketing while fraudsters stole money and eBay and Visa competed with you. Microsoft, Yahoo, and Google found a model early. PayPal, like Amazon and Facebook, grew fast on a harder road, and its people learned to change the product in order to survive.