Bronnie Ware spent years doing palliative care and documented what people actually regret at the end of their lives. The list is remarkably consistent: Not living on their own terms. Not working less. Not saying how they really felt. Not staying close to the people they loved. Not letting themselves be happier. Almost nobody wished they’d achieved more. It was always about authenticity and relationships.

If AI isn't going to wipe out millions of jobs every year, it has to generate productivity gains of about 7% pa in order to justify the capex. Impossible. So someone has to lose money Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario wsj.com/tech/ai/ai-workers-t… via @WSJ

JUST IN: An increasing number of students are reportedly choosing to spend summers building AI startups instead of taking internships.

Ron Baron screens for growth with one question: will your children work in this industry, or did your grandparents? Pick the industries that will still be hiring in 20 years. Then buy the best company in each. That's the whole method. Cheap stocks cluster in your grandparents' industries. That's usually why they're cheap. "Baron asks whether an industry is one where your children or grandchildren will work, or if it is one where your parents and grandparents worked." Michael Shearn, The Investment Checklist.

Semiconductor weight in S&P 500 is at 20% now compared to 2% 10 years ago.

On this day in 1994: Amazon founded.

America is running out of places to gather: Bars and clubs per capita have fallen over 60% since the late 1970s, and since 2001 a fifth of movie theaters have shut their doors. Over the past two decades, the country has lost roughly 2,000 golf courses and 7,000 bars and nightclubs. Catching live music now costs a pretty penny: top-tour concert tickets averaged $134 last year, up 42% from 2019. So Americans stay in. Nearly 80% see friends and family less than three times a week. Read that again. America has traded their community for their couch.

lee kuan yew on american culture

The United States is 3 human lifetimes old. That’s it. In those short years we invented the light bulb, the telephone, the airplane, the transistor and the internet. We turned a few wooded colonies into the most powerful nation in the history of the world.

This development isn’t necessarily bad for the frontier AI companies, it’s more like the growth number everyone’s betting on is probably too high. These companies can still be big, successful, and make real money. Just maybe not the wild, everything-explodes growth that’s currently baked into how much investors think they’re worth. That’s more of a “don’t overpay for the stock” thing than a “this company is in trouble” thing.

A paper on open model adoption and finds Chinese models, led by Qwen, now dominate. China passed the U.S. in open model downloads in summer 2025. By March 2026, Chinese models had 1.15B tracked downloads, while U.S. models had 723M. Most of that shift comes from Qwen, which became the default base family for many builders. Qwen’s lead is not just about 1 famous model; it comes from having many useful models across many sizes, especially small ones that people can run cheaply and reuse often. DeepSeek matters in a different way: it does not dominate the whole open model ecosystem like Qwen, but it leads the very large model category, especially models above 250B param After adjusting for model size and age, some U.S. models like GPT-OSS 120B and Nemotron Super 120B still show very strong adoption momentum, even though China leads overall. ---- Link – arxiv. org/abs/2604.07190 Title: "The ATOM Report: Measuring the Open Language Model Ecosystem"

The Open Source adoption shows we have entered the era of abundance in AI. Initially, we thought NVIDIA was the only player. OpenAI was the only monopoly. They will kill every industry, every applications, every other companies. The Open Source movement reflects a much bigger theme: the world is big enough for many things to co-exist: chips, models, applications, industries. We are seeing competition in every layer and that's great. Everyone can choose what they buy and there are always new opportunities for new companies to shine.

Best argument for open source AI's inevitable impact on the global south yet 😂

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Happy 4th of July, America!!! Transformers, GPUs, TPUs, PyTorch, among many others things wouldn’t exist today without all the innovations that this country has allowed.

On a rolling 5-year basis, US stocks have now outperformed International stocks for over 15 years. This is by far the longest run of US outperformance in history. Happy 4th everyone!

Just learn English and Chinese. Covers 52.4% of world GDP.

There’s not a single legacy auto maker on this list. It’s Tesla and the Chinese. That’s it.

GS: Countries are at different points on the Demographic Wave for peak consumers (ages 35-55) with India pre peak, US early peak, China mid peak, and Japan post peak

💼 Job loss from AI. A compilations of opinions by today's leading figures. We need to be prepared.

The Economist: “Brazilians are going gaga for Chinese brands…Affluent Brazilians drive cars made by BYD, use phones made by Huawei, watch televisions produced by Hisense, order meals with 99Food, a delivery app, and shop online at Shopee.” economist.com/the-americas/2…