For anyone interested, this is called "The Interstellar Experience" by Tony Ann.

I lost my Dad on 9/11. I don’t get a lot of reach on here. But I just wanted to share a picture. He was 39. I thought he was old. I’m now in my mid 30s and I still feel like a kid. He was a great trader. He loved markets. He loved to find a stock no one was talking about. The first trade I ever placed was on his work computer, where he let me click the button to buy AMAT. I loved going to the office with him. It was electric. He was the best dad. We spent hours out in the street after dinner where he’d throw “pop flys” for me to catch. Eye on the ball. He loved watching Sponge Bob and eating cereal, wrestling with us in the living room. He just loved being around his kids so much, and we knew it. I’m so grateful I got a dad like that. Love you, Pops.

BREAKING: A NYC firefighter just absolutely eviscerated pro-Palestinians who are protesting the 9/11 memorial.

This week's CFB & NFL viewing schedules

Yesterday @amitisinvesting took me for a 30-minute ride in his $TSLA on FSD. We went on highways, past Citi field, through traffic, etc. This was my first time using FSD and I want to say to @elonmusk it was incredible. There is now a 95% chance I buy a Tesla. The reason it isn't 100% is because I need to figure out how to charge it in my building but I will be working on that this week. I am still shocked at how safe I felt, how smooth of a ride it was, and how instinctive the system is. This is the future

We are partnering with Palantir to bring trusted AI cloud infrastructure to Palantir’s commercial customers. Palantir has named Nebius its preferred sovereign AI infrastructure partner. Nebius compute and inference endpoints will run inside the Palantir enterprise perimeter – giving customers control over their compute, data, and models. The partnership is based on a shared vision that open models, continually adapted using customers’ own data, can deliver better domain-specific intelligence while improving control and security. Read the full press release: nebius.com/newsroom/palantir…

This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.

Greece recorded an increase in births in the first three months of 2026, with the share of babies born to Greek mothers also rising. At the same time, illegal sea arrivals fell 27%, from 16,985 to 12,496, while migrant returns increased 20% and forced deportations jumped 41%. The sharpest decline involved Egyptian nationals, whose arrivals fell 72%, from around 2,800 to 800. Returns of Egyptian citizens nearly quadrupled, from 59 to 227. Since February, another 599 migrants have voluntarily returned to their countries rather than serve prison sentences for immigration-related offenses under the government’s new “prison or return” policy.

Here is my AI investing guide. Sitting here August 2026, my current best thoughts are as follows: 1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here. I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter. 2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest. 3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC. 4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer. 5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4 above. 6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature. Fin. Good luck to all the players!

Nomura’s latest DRAM forecast is on another level. They are projecting DRAM revenue to explode past 2 trillion dollars by 2030. Yes, that is trillion with a T. From around 80 billion dollars in 2022 to over 2.06 trillion dollars in 2030. Here is the full supply demand picture they published. Production is expected to grow from 29.3 billion GB in 2022 to 128.4 billion GB by 2030. Shipments rise from 24.7 billion GB to almost 126 billion GB. Utilization rates stay extremely high, often above 100 percent in the later years, and inventory even turns negative in absolute terms. That is a clear sign of structural tightness in the market. The price story is just as dramatic. After the big crash in 2023 when prices fell to 1.9 dollars per GB, Nomura sees a strong recovery. They forecast 13.7 dollars per GB in 2026, peaking near 18.6 dollars per GB in 2027, and then settling around 16 to 17 dollars per GB through 2030. The combination of much higher volume and these sustained high average selling prices is what drives that massive 2 trillion plus revenue number. This is not a normal cyclical recovery. The forecast assumes AI and data center demand will keep running ahead of supply for years. Wafer capacity is growing, but not nearly fast enough to match the bit demand. High bandwidth memory, or HBM, is the big driver here. It brings higher density, higher prices, and much better profitability than regular commodity DRAM. For some context, most mainstream long term forecasts still see the entire DRAM market staying well under 300 to 400 billion dollars by 2030. Nomura is basically saying it could be 5 to 7 times larger than those conservative estimates if AI infrastructure spending keeps going at the current pace. The implications are huge for the big three players: Samsung, SK Hynix, and Micron. If even part of this comes true, memory chips could become one of the biggest profit pools in the whole semiconductor industry. Capex will need to speed up, but the pricing power looks very favorable in this scenario. Of course these are aggressive assumptions. AI spending could slow down, new capacity could come online faster than expected, or Chinese producers could close the gap quicker. But the overall direction is clear. The old idea that DRAM is just a pure commodity cycle is being completely rewritten by AI. A 2 trillion dollar DRAM market by 2030. That is the big number Nomura is putting out there. #DRAM #Semiconductors

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