Instinct founder Noah Shinn says its compute needs are effectively doubling every week. He says Instinct is currently scaling even faster than Claude Code or Codex.
h/t to
@patrick_oshag
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“Some of the greatest investments of my life did not go straight up. There were ugly drawdowns, bad quarters, terrifying headlines and long periods when the market disagreed with me. The money was not made by predicting every short term move.”
Excerpt from this great reminder post from
@realroseceline, I agree.
My greatest investments over the years have been these type of stocks.
Patience is underrated on FinX and CNBC.
Narratives follow price action, most of it is just noise.
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This is why I purposely train myself not to stare at my portfolio every day. I want my emotions connected to changes in the business rather than changes in the quotation. I want to follow revenue, margins, customers, competition, capital allocation and management.
Those are the things that ultimately create value. Ironically, many investors spend most of their time watching the one thing they cannot control while spending very little time studying the things that actually determine long term value. Then they wonder why investing becomes so emotional.
Constantly checking prices also changes your time horizon. You may buy a company because of what you think it can become over ten years, then six months later you are worrying about what the stock will do after next quarter’s earnings. Without realizing it, you went from thinking like an owner to thinking like a trader.
A 10% decline feels enormous when you stare at it all day. It feels much less important when the real question is whether the company can become five times larger over the next decade. Your time horizon changes the meaning of almost everything.
Watching prices constantly also creates a temptation to manufacture decisions. The stock is up so maybe I should sell, the stock is down so maybe something is wrong, an analyst downgraded it so maybe I missed something. Activity starts feeling like intelligence.
Usually the highest level investing decision available to you is doing absolutely nothing. You found a wonderful business, the thesis remains intact and the company continues compounding. There may simply be nothing for you to do.
Some of the greatest investments of my life did not go straight up. There were ugly drawdowns, bad quarters, terrifying headlines and long periods when the market disagreed with me. The money was not made by predicting every short term move.
The money was made by being right about the business and staying around long enough for that reality to matter. That sounds simple, but psychologically it is incredibly difficult. Markets constantly tempt you to interrupt compounding.
I want to know immediately when the business changes. I want to know when competition changes, management changes, unit economics deteriorate or the opportunity ahead becomes materially smaller. Those things deserve my attention.
If the stock falls 7% because someone somewhere changed their opinion, I do not care at all. If an analyst downgrades it, I want to know whether they discovered something important rather than what their new price target is. If an insider sells stock, I want to understand the context before assigning meaning to it.
Price obviously matters. It matters enormously when you buy, when you sell and when valuation becomes disconnected from reality. But price should inform your decisions rather than control your emotions.
The goal is not to ignore information. The goal is to become extraordinarily good at separating information from noise. I believe that ability becomes more valuable the longer your investing horizon becomes.
Stocks move constantly, opinions change constantly and analysts change targets constantly. Businesses generally change much more slowly. If you want to become a better long term investor, learn which one deserves most of your attention.
2/2🌹
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I know of several medical colleagues over the years, including doctors, nurse practitioners, and physician assistants, who seriously injured themselves (or worse) in terrible accidents related to high-risk recreational activities shortly after they graduated from their intense educational programs.
Be careful out there!
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Here is a general framework. Try to beat it of course.
20s: unless pro athlete. Do not go into competitive rec leagues/skiing/snowboarding - injury risk/reward horrific
30s: should be done with alcohol in general. Special occassion fine
40s: should not be renting out your time
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Each of these companies has successfully delivered operating AI datacenter infrastructure in the last few months, but we as investors need to see these buildouts translate into significant, sustainable, recurring AI revenues in their upcoming earnings reports.
These projects are expensive, complicated, and time-consuming. Any hiccups in the "time to compute" factor could prove very costly.
These companies' theses remain strong as long as AI compute demand remains insatiable, energy access remains scarce, and other datacenter projects remain delayed/challenged over the next few years.
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@peterjwolff As an investor in your Flagship Fund, can you provide an example of evidence that we could see over the next 12-18 months that would change your thesis on these companies?
No sugar coating it, the next 12-18 months are incredibly important proof of execution and of significant AI-related revenue acceleration months for $CIFR $IREN $WULF.
In the midst of the Iran War, macro uncertainties, and market volatility, the market’s decided to continue pricing them as high risk, expensive ventures that are unlikely to succeed or to hit their aggressive revenue targets.
Over the last couple years, these companies been setting up the right building blocks for everything to work, but this market now wants to see the real proof in the numbers.
In this AI compute constrained, energy starved environment, I remain optimistic on these teams to deliver on their plans.
I also believe the “time to compute” factor will become increasingly important over the next 12-18 months as many inferior datacenter projects deliver subpar results.
Even through this year’s fear and volatility, $NBIS has been rewarded by the market for their proof of superior execution and real revenue acceleration this year, and I remain a happy shareholder with this company too.
Thank you for the detailed explanation of this
@CipherInc deal
@rftylerpage. Many longer term shareholders like myself appreciate these thoughtful updates.
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I think you are oversimplifying the concept of “spot” rates for leasing. Generally, tenants are very interested in powered shells available in the near-term and become less interested in ones available further into the future. This relative level of interest is reflected in what they are willing to pay in rent. Leases that are being signed and announced now are typically for sites available 12-18 months out, and they are being signed at the highest rates we have seen. But if you ask a hyperscaler about what they would commit to pay right now for a long-term lease for a site available in 2030+ (if they would even be interested now), they might offer to pay 7-8% YOC. At those levels, we would not commit to a lease and will wait if we have such a site available.
The binding commitment we received here is for a lease starting 10 years from now at a rate in-line with today’s elevated market rates for powered shells available in the near-term from a very large and successful leading AI lab. This is a big deal and evidence of a long-term sustained demand environment in my opinion.
I saw a few other questions along the lines of “Why sign now? Why not wait?” Presumably this logic is based on the idea that we should just wait 8.5 years until interest will be higher. My answer is that we have never seen interest at today’s elevated rates for a lease starting that far in the future and it provides an excellent projected IRR on our investment. Also, if we follow that advice, why should we ever sign a lease at all? Just keep waiting for infinitely higher lease rates. I don’t believe that is a winning strategy.
Lastly, keep in mind that headline lease rates don’t tell the full story in an inflationary environment with fast-changing design and engineering standards. You need to consider other elements that can control your costs and financing risks. We are focused on maximizing a return on our investment while managing risks. (Note that this is also why revenue comparisons with neoclouds are somewhat irrelevant—they have a completely different cost and risk structure)
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I calculate the price I’d be willing to pay for the stock, and I try to purchase the stock with a margin of safety, a certain percentage below my calculated fair value.
You have to be careful only using favorable analyst targets.
If analysts were always right, they’d likely be much richer.
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@peterjwolff Hey Peter, I’m curious how you decide what a fair price is. Do you just look at the analyst target and make sure there is significant upside?
Too many people seem focused on timing the exact tops and bottoms on their favorite stocks.
I prefer accumulating my favorite assets at fair prices, rather than waiting for the “perfect price.”
The longer the price stays fair, the more shares I’ll end up accumulating over time.
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Warren Buffett:
“The truth is, you’ve got to expect good times and bad times in business…[Don’t] try to time the purchase…try to make the right purchase at the right price and make sure you’ve got a good business.”
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2026 has been a year of dollar cost averaging through the chop for me.
My share counts across my favorite holdings have significantly increased over the course of the year.
Despite all the market uncertainties and trending bear posts, I too remain quite optimistic.
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If I keep posting that things are at support, I sound like a broken record.
If I draw charts, formations and fractals to tell you how bullish I am over the next 12 to 24 months, I sound like I'm trying to farm engagement and sound like a pumper, especially during chop days.
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The race for “SGI” now!
The race for AGI
Script: Sherpa by Pocket FM
Video: Seedance 2.5
Impressive early numbers and growth rate for Grok Bot Agent users.
The recently launched Muse is number one on the App Store.
Regardless of many 2026 market headwinds, agentic AI for the general public has launched with incredible, real consumer demand.
We need more compute.
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*SPACEXAI’S GROK BOT AGENT TOPS 400,000 USERS AFTER FIRST MONTH
*SPACEXAI’S GROK BOT AGENT USERS GREW 24% FROM PRIOR WEEK
Prediction: within 12 months, top three models will be open source.
Economic winners will be the American clouds that serve them:
Nebius
Iren
Baseten
Together
Fireworks
Annual token usage is forecast to reach 4 quintillion by 2030, per Evercore, with agentic AI accounting for the majority of token generation.
$MSFT $AMZN $NVDA $GOOG
Elon + SpaceXAI are building a company live with Grok Bot 👀
Live demos. Hands-on builds. The team behind Grok Bot.
Grok Bot Galaxy starts tomorrow in SF + livestream.
This could get wild.
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JPMORGAN UPGRADES $IREN TO OVERWEIGHT, RAISES PT TO $65 FROM $46
JPM says IREN is emerging as a top-tier neocloud provider, helped by its NVIDIA partnership, stronger customer momentum and rising AI infrastructure pricing.
The firm notes neocloud contract pricing has moved from roughly $10-$15/W to $15-$20/W+, while customer prepayments of 25%-50% are helping fund GPU purchases.
IREN has also raised its year-end 2026 ARR target to as much as $4B, with roughly $1B of operating ARR today.
JPMorgan highlighted IREN’s Microsoft buildout, recent deal with an unnamed frontier AI lab, and contracts with NVIDIA, Figure AI, Perplexity, Together AI, Fluidstack, Cohere and others.
Looking into 2027, JPMorgan believes IREN’s planned ~0.5 GW expansion could command materially higher pricing than earlier contracts. Deals above $15/W would provide significant upside to its financial outlook.
The main near-term risk cited is potential delays from Texas data center interconnection reviews, although IREN’s Sweetwater 1 and 2 projects were recently conditionally included in ERCOT’s Batch Zero process.
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$IREN CEO on Anthropic call for frontier slowdown:
“Even if models never improved from here…
just rolling out what they can already do would take more compute than the world can build for years”
I agree, and current narrative is reminiscent of the $NVDA DeepSeek selloff or the $GOOGL TurboQuant scare.
Guess what happened?
These scares once or twice a year all turn out to be immaterial to the overall AI buildout.
Especially when we have contracted demand all the way into the 2030’s now from advanced packaging to memory procurement.
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@techdevnotes Grok 4.8, which is a 2.5T model trained with our new C++ software stack, will finish training this week and start RL
Wild 24 hours for AI and lots of different proposals have been made.
TLDR; the only *tangible* new fact is that OpenAI and Anthropic are going to have embedded 3rd party evaluators from unknown organizations with Dario floating METR as a possibility. Having 3rd party evaluators is smart as there is no Section 230 style liability shield for model outputs and showing a “duty of care” will be important in future litigation. Several internet companies might have gone bankrupt without Section 230 so limiting liability really matters.
There are minimal investment implications from this single new fact, but I do think that for anyone who wants a “smoother for longer” cycle then most constraints are good: wafers, watts, real rates and spreads. Excessive regulation is a different matter but I don’t think we are anywhere close to this even if the vector changed over the last 24 hours.
To summarize the events:
Dario made the most maximalist proposal of the weekend: embedded 3rd party evaluators, a national regulatory regime for models beyond a certain capability/ingredient threshold, a broad international regulatory pact between democracies, stricter limits on compute/distillation for China and then a different international regulatory regime that encompasses China. Before there is a national regulatory regime, he wants a Sherman act waiver so that Anthropic can safely coordinate with OpenAI and other frontier labs without antitrust fears. TBF, this latest proposal is much less maximalist than some of his prior proposals like “Policy on the AI Exponential,” where he advocated for an FAA for AI. I believe he is sincere in his beliefs. And despite all the protestations, all of this would also probably be good for his business over the long-term.
Sam agreed that embedded 3rd party evaluators were a good idea and stated they would implement them. Again, this is smart as should help limit future liability.
Elon said “Dario is right” and later specified that “Dario is right that there should be some oversight. Peer review of AI by competitors is the right way to start this off.” This would be a MPAA like self-regulatory structure for AI with regular calls between the labs plus a process where each new model is evaluated for safety by competitors for a 1-2 week period before being released. That is *wildly* different from Dario’s proposal and in-line with what David Sacks has been proposing. Elon also stated that nothing was going to slow down open-weight models.
Demis said that Dario’s essay was a “step in the right direction.” Dario also said that he was also open to Demis’ idea of a FINRA like self-regulatory structure as part of his proposal.
David Sacks had a thoughtful post where he said that Dario and Sam should pace unilaterally, called the antitrust waiver a cartel request and denied that METR was truly independent given their ties to Anthropic.
Sriram Krishnan, former White House AI advisor, noted that it would be important to have the 3rd party evaluators come from independent organizations that are not affiliated with any lab, which is basically an indirect statement about the relationship between METR and Anthropic which Sacks was explicit about.
Clem from Hugging Face said they were open to being a neutral 3rd party evaluator, which is interesting especially if Jensen was consulted before that post.
Alexander Wang from Meta noted that alignment would be an increasing focus going forward.
An executive order seems likely after all this and the language in this EO is going to be really important. It is possible to democratize and distribute AI broadly and safely without centralizing it in the hands of a few corporations who might each become more powerful than any single government.
I do not want a few humans in control of intelligence.
I want us all to have our own intelligences that reflect our own values and human variation in all of its richness.
Intelligence distribution over intelligence centralization FTW.
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Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.
You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.
I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.
But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.
Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.
Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.
So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.
If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
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Truthfully, I’ve used debt in the past to accelerate my net worth, including student loans, business loans, margin, and a house mortgage.
In recent years, I’ve become more debt averse as AI has continued its rapid progress.
There’s a possibility that many people’s current careers could be disrupted/displaced by this technology in the next few years.
I do believe new job opportunities will fill the gaps over time, but I still expect there to be a difficult period of transition for many individuals.
One of the last things one would want in the case of unexpected job disruption is recurring expensive monthly payments.
I hope I’m wrong on the difficult transition period, and I hope it goes smoother for most people than my expectations.
One caveat: Of course, a low 2-3% interest mortgage that has payments requiring less than 25% of one’s monthly income is probably not going to be detrimental.
But this optimal kind of debt situation is rare these days.
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I disagree to a certain degree. Yes, debt is not great. But sometimes necessary. Not for luxury but to achieve bigger things. Ideally you don't need external capital. But sometimes it is the only way to work towards future goals.
Where I disagree totally is paying off debt aggressively. You should pay off debt as slow as possible. It feels great to pay off quickly, to have the goal of being debt free closing in. People even pay off with extra payments beside the usual monthly rates, if they get unexpected money.
That is a huge mistake. Money that you have beyond what you need for your life and to pay debt should always be invested and not wasted.
There are several reasons for that. First of all: Currency debasement is real. Inflation is real. Your money is worth less every year. And is your debt. Your $100k house debt now is worth so much less in 10 years even if you barely paid anything off.
Before you say: But the interest! It costs you more the longer you need to pay off your debt.
True. But if you made fixed interest for the full payback period, you are not in the risk of getting burdened by skyrocketing interest rates. And your 2% mortgage rate will be dwarfed by debasement and inflation.
Let the broken currency system help you to pay off your debt, while you use unneeded capital to increase your wealth.
Do the math for yourself and stop paying off debt aggressively. Do it as slow as possible.
Obviously this does not apply, if you life above your means and took too much debt.
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“Far more money has been lost by investors preparing for corrections, or trying to anticipate corrections, than has been lost in corrections themselves.” - Peter Lynch
Study the great investors’ strategies, writings, and temperaments to help you endure the more volatile seasons in the market.
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10 legendary investors. Their biggest lesson, one sentence each.
1. Nick Sleep: Find businesses that share their scale advantages with customers, then give the flywheel decades to work.
2. Warren Buffett: Buy a wonderful company at a fair price and let time do the compounding.
3. Charlie Munger: Avoid obvious stupidity, wait for the fat pitch, and sit on your hands.
4. Chris Hohn: Concentrate in a few exceptional businesses and use ownership to make them stronger.
5. Bill Miller: Value is the cash a business will produce, not a low multiple — go where the crowd refuses to look.
6. Li Lu: Demand a margin of safety, then own businesses that can compound for a very long time.
7. Peter Lynch: Start with what you actually understand, then do the work most people skip.
8. Chuck Akre: Find a great business, great people, and a long runway to reinvest — then don’t interrupt it.
9. John Templeton: Buy at maximum pessimism, then let time prove the crowd wrong.
10. Mark Massey: Own a handful of exceptional businesses and do almost nothing else.
Notice how many of them need time: a holding period long enough for the investment to play out and for compounding to do its magic.
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