DARPA contests catalyzed the modern autonomous vehicle industry
βTony Tether, who had been a door to door salesman in his use definitely has that flare in that way of thinking, says, let's have a contest. Let's see who can put all of these ingredients that we've developed together into a proper self driving car. His original idea is we'll drive him down the Las Vegas Strip that's almost immediately next because it's insane.β
βApple was opened up down 13%. Why did it open up 13% down? It beat expectations, both earnings and sales, but they guided lower. And they said they're not going to report unit sales of iPhones anymore. Why did they say they wanted, why are they doing that? Well, because iPhones were kind of, sales were flat. And they're going to move toward a revenue that's more based on services, the services business. And that was to be expected. I think that that makes sense, actually. I think they'll make more money doing it that way.β
Internal cultural clashes slowed Googleβs early development cycle
βThe main difference in their approach is how quickly they want to move. Anthony is very okay with risk. He gets one of these cars and he's driving it back, and he lives in Berkeley, works in Palauto. He's just using this car like the Bay Bridge every day, probably outside the bounds of what the team actually wanted, and he's not necessarily logging data. He's just enjoying his self driving car and taking it all over the place.β
Autonomous technology threatens nearly five million American jobs
βFour point eight million Americans drive for a living. It's one of the most common jobs we have, and these workers do not plan to surrender to the California tech companies. They're doing this because they stand to make an unfathomable amount of money if they eliminate driving jobs for working class of people. These drivers are represented by unions backed by politicians and in cities across America blue cities. They're organizing. So far they're winning.β
Self-driving is a software problem, not a hardware problem
βI saw that all the teams treated this like a hardware problem. They looked at this and say, we have to build a bigger wheels and bigger chassis and so on. And I looked at this and said, about wait a minute. The challenge really is to build a self driving car. They can drive for the desert. I can get a rental car. They can do it just fine, provided as a person insight and the challenges we need to take the person out of the driver's seat and replace it by computer. That is not a problem with bigger tires. That's actually be a software problem.β
Robots are significantly safer than average human drivers
βI had experiences of losing people in my life to traffic accidents, and I felt we lost over the million people in the world to traffic accidents. Wouldn't it be amazing if Dabok invented something that would save a million lives a year.β
Bank stocks underperform immediately preceding recessionary periods
βWell, bank stocks work really good when interest rates rise slowly, okay? They usually are fairly good in that kind of scenario. They work really bad just before recessions start to happen. They don't do very good in recessions at all, okay? They don't because there's a lot more defaults on the loans they make. Now, if you're going to go to a big bank, which Bank of America, the ones you two mentioned are very large banks, now you got to worry about international issues.β
βAt this stage, it's too late. We've already had that October correction and we had in one of our programs, we had 20 plus percent in the inverse funds. These are funds that will short the indexes or short something. Shorting means they go in the opposite direction of the market. If the market went down 10% and you had an inverse S&P 500, which I believe is SH, that's the inverse of the S&P 500, that's the PowerShare short S&P 500, which by the way, we do own, we still own our inverse positions, but we might be teasing our way out of them shortly.β
βAluminum prices have rocketed to four-year peaks after Iranian attacks targeted Middle Eastern smelters, highlighting how geopolitical risks can instantly reshape commodity markets. The industrial metals complex is flashing warning signs about supply chain disruptions that could ripple through manufacturing sectors globally. These geopolitical events demonstrate the sudden impact that conflict can have on industrial inputs and global logistics.β
βWeimos says, and I think this is correct, that it's roughly eighty brass safer in terms of crashes are severe enough to turn down an airbag. Crashes severe enough to cause an injury, and also crashes involving vulnerable road users like pedestrians or bicyclists. So far it's been better than human drivers, and so far, I think the case for allowing them they continue. The experiment is very strong.β
Diversification requires assets with low equity correlation
βThe idea here is mixing these different asset classes that have different correlations to each other, and it lowers your overall risk profile of your portfolio. Because nobody knows what the future is gonna look like, and you can never be certain.β
βAI agents, the fear that these large language model companies could displace both tax prep and small business bookkeeping simultaneously has led to a lot of fear. This is a sell-off driven by convergence of regulatory and AI disruption fears, not really deteriorating fundamentals.β
Booking Holdings is shifting to merchant payment models
βThey have been slowly transitioning away from this agency model to more of a higher margin merchant payments model via its connected trip strategy. The growth strategy is certainly bearing itself out with merchant model revenue growing about 27.4% year over year.β
Uberβs aggressive testing led to industry-altering fatal accidents
βIn the last moments of Alane Herzburg's life, the robot spent an indefensible five point six seconds trying and failing to guess the shape in the road there was a human body pushing a bike. Over those five point six seconds, the robot kept reclassifying our whishing an unknown object a vehicle a bicycle. During that time, spent wondering the car did not slow down. Soon after Elaine Hertzberg's death, Uber halted its testing program.β
Applied Materials faces significant China export risks
βChina still represents 30% of the revenue. So any additional export controls or Chinese retaliation, restricting tool service access, that could remove revenue to the tune of $2,000,000,000. It is a best in class franchise, but you are paying full price.β
Regulators are modernizing frameworks for event contracts
βThe CFTC, which was once a legal adversary of these markets, has done a complete about-face under the Trump administration. In January, the CFTC and SEC held a joint summit on modernizing the regulatory framework for these types of contracts.β
βLueck's concern is that when you deploy these black box models at scale managing billions of dollars and you can't explain why the model is taking a position, you've introduced a risk that is very difficult to manage. You still want researchers to be thinking.β
Citadel is exploring binary prediction market trading
βCitadel Securities is reportedly exploring prediction markets as trading scales up, a development that could fundamentally change how financial markets incorporate real-world event probabilities into prices. The price of this contract at any given moment essentially represents the crowd's real-time probability estimate.β
βI think these are the most compelling NVIDIA alternative in AI accelerators. They have record data center revenue, they have that 41% server CPU share, and they have a credible roadmap towards GPU growth by these committed hyperscaler orders.β
Consumer sentiment hit record lows over job security
β64% of respondents think unemployment will be higher a year from now, up from 61% in March. Never before has that share been this high without the economy experiencing recession. People aren't just complaining about prices anymore; they are scared about their jobs.β
Strong jobs report exceeds expectations with 250k additions
βI don't know, but everyone surely wants Strong Jobs Report. You see that this morning? 250,000 new jobs. Way more than expected. That's pretty impressive, I thought. Pretty impressive. Well, since it's Friday, I'm going to give you a highlight tour of our certain experts from our KPP Premium newsletter. I usually do that every Friday because that's when it goes out. I put effort in this thing. Every Friday, I write it.β
Prediction markets offer real-time geopolitical probability data
βDuring the Iran crisis, poly market ceasefire probability contracts moved before and alongside traditional markets. These markets aggregate real-time information with participants who have skin in the game which often produces more accurate forecast than polls or even option implied probabilities.β
Googleβs Larry 1K project validated real-world autonomous potential
βSebastian, I think you should build a self diving car that can drive anywhere in the world. And my immediate reaction was, no, taking the technology we build for this empty desert and put it in the middle of Market Street in San Francisco is going to kill somebody. And Larry would come back the next day with the same idea, and I would give them the same answer, and both of us got increasingly more frustrated. God damn it, it can't be done, and eventually came and said, look, Sebastian, OK, care, I get it. You can't do it. I want to explain to Erk Schmidt the CEO at the time and Sergey Britt my cofounder, why it can't be done?β