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The Decision Education Podcast
Episode 037: Choosing With Intent with Dr. Sunita Sah
"defiant acts that people think are iconic, like Rosa Parks saying no on the bus, it's preceded by hundreds of moments of compliance. She complied with segregation laws on the bus many times before she defied. And so we shouldn't really feel bad or beat ourselves up for having complied because we can learn from that. Like in this situation, next time I want to do this."
1:04 – 1:27
The Decision Education Podcast
Episode 037: Choosing With Intent with Dr. Sunita Sah
"Rosa Parks saying no on the bus, it's preceded by hundreds of moments of compliance. She complied with segregation laws on the bus many times before she defied. And so we shouldn't really feel bad or beat ourselves up for having complied because we can learn from that. Like in this situation, next time I want to do this. So we anticipate it, we visualize it, we script it out. Like this is what I wish I could have said."
1:07 – 1:33
The Decision Education Podcast
Episode 037: Choosing With Intent with Dr. Sunita Sah
"really defiant acts that people think are iconic, Rosa Parks saying no on the bus, it's preceded by hundreds of moments of compliance. She complied with segregation laws on the bus many times before she defied. And so, we shouldn't really feel bad or beat ourselves up for having complied, 'cause we can learn from that."
44:31 – 44:52
Cheeky Pint
Ben Thompson from Stratechery on AI ads, the end of SaaS, and the future of media
"Exactly. Yeah. On the first, like, Anthropic just installed Workday. Yeah, I know. Famously. Exactly. So I don't think, I don't think, you know, we're cloud coding— systems of record are, are, are— that's the category. Yeah. People do not seem to be, you know, we see this with Tribbling as well. Like, I don't think anyone's cloud coding one of those systems of records. Do you use Workday? Anytime soon. No, we use Workday. I don't know what to make of the second criticism, but again, it just feels like for a very broad and deep system of records, it's kind of hard to make the argument that the business is somehow impaired versus a year or two ago."
51:24 – 51:56
Machine Learning Street Talk (MLST)
Evolution "Doesn't Need" Mutation - Blaise AgĂĽera y Arcas
"uh, von Neumann's update to Turing's thinking about computation. Which he did a few years later. This was published posthumously after von Neumann died. But the idea behind, behind von Neumann's thinking is he was trying to answer the same question that Schrödinger had asked in his "What Is Life?" book. And in particular, he was trying to ask the question, if you have a robot that is swimming around on a, you know, in a pond, and the pond has lots of loose Legos around— there were no— I don't know if there were Legos in 1950, but let's pretend there were Legos in 1950. And the job of the robot is to assemble those Legos into a new robot like itself. You know, there's something a little bit mysterious about that. It feels a little bit like pulling yourself up by your own bootstraps, or like a paradox. And so he asked, what does it take for something to be able to make something like itself, uh, which seems, uh, hard, almost paradoxical? And his conclusion was, well, you need to have instructions for how to make a me."
7:00 – 7:55
Lex Fridman Podcast
#491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger
"This is very powerful. But it is also dangerous. Open Claw represents freedom, but with freedom comes responsibility. With it, you can own and have control over your data, but precisely because you have this control, you also have the responsibility to protect it from cybersecurity threats of various kinds. There are great ways to protect yourself, but the threats and vulnerabilities are out there."
2:11 – 2:37
Machine Learning Street Talk (MLST)
Evolution "Doesn't Need" Mutation - Blaise AgĂĽera y Arcas
"products are built to the highest quality. We put in the work so you can perfect yours, with purpose in every detail and crafted with intention. Timberland. Built on craft. Visit timberland.com to shop. By the end of the conversation, I think people are gonna know exactly who the hell"
0:15 – 0:33
AI and I
OpenAI's Codex: This Model Is So Fast It Changes How You Code
"here, and I want to take a second away from the episode to tell you about Granola. Granola is an AI note-taker for your meetings, and I use it pretty much every day. That may sound a little bit weird or a little bit creepy, like, "Transcribe all your meetings?" Well, for me, it's actually kind of indispensable as a leader. Everi is about 20 people now, and it's really important to me that I understand"
0:44 – 1:02
The Memo by Howard Marks
Is It a Bubble?
"Instead of happening over time, bursts of progress happen simultaneously across different domains, and with mounting enthusiasm comes increased risk tolerance and strong network effects. The fear of missing out, or FOMO, attracts even more participants, entrepreneurs, and speculators, further reinforcing this positive feedback loop. Like bubbles, FOMO tends to have a bad reputation, but it's sometimes a healthy instinct. After all, none of us wants to miss out on a once-in-a-lifetime chance to build the future. In other words, Bubbles based on technological progress are good because they excite investors into pouring in money—a good bit of which is thrown away—to carpet-bomb a new area of opportunity and thus jump-start its exploitation. The key realization seems to be that if people remained patient, prudent, analytical, and value-insistent, novel technologies would take many years—and perhaps decades—to be built out. Instead, the hysteria of the bubble causes the process to be compressed into a very short period, with some of the money going into life-changing investment in the winners, but a lot of it being incinerated. A bubble has aspects that"
13:03 – 14:25
My First Million
Scott Galloway: Why I'm selling my American stocks
"I think GLP-1 is a more transformative technology than AI. I've said this for a couple of years. So, Sean, we were talking about microdosing. Yeah. Or whatever it is. I'm going to assume you are microdosing GLP-1 drugs. Let me ask you, what's had a bigger impact on your life, GLP-1 drugs or AI? I don't microdose. What do you mean? I don't microdose GLP-1s. So I can't— Oh, I just assumed since I've seen you, you're fit and trim, which I assume means you're on Wegovy. But we'll go with the notion you're on— You just gathered a new sense. Sure. You just introduced them to me. By the way, By the way, I don't take ED drugs, just so you know. I don't, I absolutely, I don't know what you're talking about. I don't take Viagra before it's go time every fourth Sunday during the summer solstice when my partner agrees to have sex with me. I absolutely don't take Viagra. Anyways, let me ask you this then more broadly. If someone is on a GLP-1 and they're using AI all the time, what do you think has a bigger impact on their life? For sure, the GLP-1. The fastest way to deficit reduction If I could be president for a day or king for a day and had a magic wand, mandatory national service. Let me say that right now, $25 an hour minimum wage. But the third thing I would do, I would put out the mother of all RFPs to Novo Nordisk, Eli Lilly, and say, I need a billion doses of GLP-1s. And then I would distribute it for free to every rural household in America. And I would take healthcare costs from $13,000 to $6,500 and boom, we have a deficit solved. GLP-1 is the most transformative technology of the last"
17:55 – 19:23
Founders
#411 Tortured Into Greatness: The Life of Andre Agassi
"from"
19:08 – 19:08
Founders
#411 Tortured Into Greatness: The Life of Andre Agassi
"from practicing tennis. And so his father literally yanks him out in the middle of a soccer game and says, you're never playing soccer again. I beg him for a Second chance. I tell my father that I don't like being by myself in that huge tennis court. Tennis is lonely. He shouts at the top of his lungs, you're a tennis player. You're going to be number one in the world. You're going to make lots of money. That's the plan, and that's the end of it. His father is insane, so he. He did this with his other. Andre, I think, has three older siblings, and he tried to turn them into professional tennis players, too. His older brother"
19:08 – 19:40