
Analyst (Investment/Political/Systems and everything in between) Building @MortimusOrg w/ @admiralbohan
Joined June 2021
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"There is no shortage of brains in the industry, its the vertebral columns that tend to be missing" ~ David Ogilvy
Allahyar Rehman retweeted
A few thoughts on the current state of venture capital.
When the Music Is Playing
In July 2007, a few weeks before the credit markets seized up, Chuck Prince, then the CEO of Citigroup, gave an interview to the Financial Times. The line everyone remembers is this one: "As long as the music is playing, you've got to get up and dance." He was mocked for it for years afterward, and he lost his job a few months later. But I have come to think he was saying something honest. He wasn't claiming the music would play forever. He was admitting that he couldn't sit down while it was still going, and neither could anyone else in his seat.
I've been thinking about that quote a lot lately, because right now is the most disorienting period in venture capital I can remember, and I have been doing this for a while.
Here is what makes it disorienting. It's not that things are bad. Some things are spectacular. We have companies in our portfolio growing faster than anything I have seen in my career, and I don't say that lightly. At the same time, we have companies with no revenue, no product, and a founding team you could fit in a conference room raising billions of dollars at valuations of $10 to $50 billion. Both of these things are true at once, and if you try to reason about them with the same framework you will drive yourself crazy.
Two ideas have helped me make sense of it. Neither is mine.
The first is reflexivity, which George Soros has been writing about since the 1980s. In most of life, perception follows reality: the weather is what it is, and your opinion of it changes nothing. In markets, it runs the other way too. Prices change what participants believe, and what participants believe changes the prices. The feedback loop can run for a long time, and while it's running it looks exactly like progress.
Here is how reflexivity is playing out in AI. Full disclosure: Menlo is an investor in Anthropic, so read the following with that in mind. People watched a frontier lab go from a $4 billion valuation to $18 billion, then $60 billion, then $180 billion, then $380 billion, and now something close to a trillion. They drew the obvious conclusion: that is what a neo lab looks like. So the next neo lab gets priced off that path, not off anything it has built. Then it gets marked up in a subsequent round, and the markup itself becomes the proof. Look at Thinking Machines. Look at Reflection. At that point valuation has stopped being an output of the metrics and has become the metric. Nobody is discounting cash flows. They are discounting the last round.
Soros is very clear about one thing, and it's the part people skip: you cannot know when or how a reflexive process ends. You only know that it does. Every one of them has.
The second idea is Chuck Prince's, and it explains why smart people keep dancing even when they can see the loop for what it is. As far as I can tell, there are two groups on the dance floor.
The first group got in early. Firms like ours were in some of these AI companies before the numbers got silly, and the paper gains are enormous. When you are sitting on gains like that, you start to feel like you're playing with house money. I have been around long enough to know that house money is the most dangerous kind, because you don't respect it the way you respect money you had to earn.
The second group missed the early rounds and knows it. Their LPs know it too. So they are trying to make up for lost time by writing very large checks very late, which is the one strategy almost guaranteed to turn a missed opportunity into a real loss.
House money on one side, FOMO on the other, and reflexivity feeding both. That's the whole story. Everyone has a reason to keep dancing, and the reasons are different, which is why nobody can talk anyone else off the floor.
So what do you do? The instinct in our business is to answer with company identification: just pick the right neo lab and you'll be fine. I think that's the trap. When price has become the signal, being right about the company is not enough, because you can be right about the company and still be wrong about the price by a factor of ten. The public-market investors I admire figured this out a long time ago. They spend as much time on how much to own as on what to own.
The winners in venture over the next decade will be the firms that treat portfolio composition and position sizing as seriously as they treat sourcing. How much of the fund is in companies whose valuation rests on the last round rather than on revenue? What happens to the portfolio if the reflexive loop breaks next year instead of in five? Those are not exciting questions. They are the ones that will matter.
The music will stop. It always does. Dance if you must, but know where the chairs are.
As someone who has never stepped foot in a L/S pod I was always intrigued by how they worked - had claude make a pod "circuit"
For folks who use AI extensively for open ended problems where you have no experience, how are you verifying if what you see is correct?
Allahyar Rehman retweeted
Hivemind is going into production for the U.S. Air Force.
Shield AI has been awarded a production contract to implement Hivemind mission autonomy for the USAF Collaborative Combat Aircraft (CCA) program.
By treating mission autonomy as a standalone capability, the @usairforce can upgrade software across platforms without redesigning airframes and scale Hivemind across its broader CCA ecosystem, delivering collaborative combat autonomy with multiple autonomous aircraft operating together under human supervision.
Full release in thread.
Autonomy for the world. The greatest victory requires no war.
Allahyar Rehman retweeted
Shield AI awarded U.S. Air Force production contract for CCA mission autonomy
I use to think I’d be happy with a 5x on my investment.. now I’m thinking 10x
Hivemind is going into production for the U.S. Air Force.
Shield AI has been awarded a production contract to implement Hivemind mission autonomy for the USAF Collaborative Combat Aircraft (CCA) program.
By treating mission autonomy as a standalone capability, the @usairforce can upgrade software across platforms without redesigning airframes and scale Hivemind across its broader CCA ecosystem, delivering collaborative combat autonomy with multiple autonomous aircraft operating together under human supervision.
Full release in thread.
Autonomy for the world. The greatest victory requires no war.
Allahyar Rehman retweeted
X-BAT Autonomous VTOL ‘Fighter’ Looks Dramatically Different
Development of X-BAT is accelerating, including the use of a thrust vectoring nozzle from an experimental F-16 that was borrowed "Indiana Jones style."
Latest on X-BAT: twz.com/air/x-bat-autonomous…
Allahyar Rehman retweeted
Sad reality, VCs not deploying need to pretend they are still deploying in order to continue to see relevant deal flow for when/if they can deploy
Show me the incentives
Allahyar Rehman retweeted
caring about looking or sounding smart is preventing you from being fruitfully, dynamically stupid in the ways that make you successful.
Allahyar Rehman retweeted
Remember. “Run rate” is a PACE metric not a cumulative metric. The shorter the window like daily or weekly the less comparable it is (they wouldn’t be disclosing daily spot would they?) I mean it’s whicked impressive
$9B run rate implies about $25M/day, $173M/week, $750M/month
$30B run rate implies about $82M/day, $577M/week, $2.5B/month
So the pace increased by about $57M/day, $404M/week, $1.75B/month, or 3.33x overall
Allahyar Rehman retweeted
stay focused...ignore the rat race...try to build things that are cool. the rest will fall into place
Allahyar Rehman retweeted
This is a work in process (call it a journal entry), but this is where my head is at re private equity, private credit, and whether or not there will be an actual recognizable cycle...
If you are looking for a trading implication, it is early from my perch, it is selective, and it is not an asset class call. More on that here:
teapawt.org/MrMojoRisinX/status/20…
Nobody Is Lying. That's the Problem:
The debate over private market marks gets framed as a question of accuracy. That is the wrong frame. The real question is who has the standing, the incentive, and the mechanism to force a reckoning, and when. The answer to all three is: nobody, not yet, and maybe never cleanly.
The reason is structural. The ecosystem includes the PE sponsor, private credit manager, BDC, auditor, and leverage provider, etc. Every one of them has asymmetric incentives that point toward deferral. The auditor signs off because GAAP allows fair value estimation using income approaches when comparables are deemed not directly applicable. The credit manager says the loan is current. The BDC says NAV is supported by discounted cash flow on performing assets. The bank continues to provide the leverage facility because the BDC hasn't breached its borrowing base. Everyone is technically correct. Nobody is lying. And the capital structure of the 2022 LBO is quietly underwater on an equity-value basis. The comp tables and stock charts say so. There is no mechanism to force that into the books.
Two Different Questions:
For private equity, the mark question is cosmetic in the short run. The LP gets a depressed quarterly NAV, doesn't love it, but the GP isn't selling so there is no realization event. The fund hasn't failed. The management fee runs on committed or invested capital, not NAV. The carry is impaired on paper but the GP is not writing a check back. The LP is locked up. Nobody forces the trade.
For the BDC, the mark question has real-time consequences. The BDC is a public vehicle with a disclosed NAV, a leverage facility tied to that NAV, and shareholders who can sell. When a BDC trades at a 20% discount to NAV, the market is saying it doesn't believe the NAV. But not believing it and proving it are very different things. The board's valuation committee, advised by an independent third-party valuer, has blessed the marks. The auditor has signed off. The leverage provider hasn't accelerated. The BDC sits in a strange purgatory: the equity market has already priced the impairment, but the book hasn't moved.
What Actually Breaks the Logjam:
There are only a few forcing functions, and they operate on different timelines.
The first is a payment default or PIK election on an underlying loan. The moment a borrower starts PIKing interest or misses a payment, the valuation committee has no choice but to move the mark, the auditor has no choice but to agree, and the leverage facility gets tested against a new borrowing base. This is the most direct trigger and the one everybody is working hardest to avoid, including the borrower, who is often getting help from the sponsor to stay current.
The second is a leverage facility redetermination. Banks do periodic borrowing base reviews. If they tighten advance rates against certain asset categories, and they have been doing this quietly, then the BDC suddenly has less liquidity and has to either sell assets or reduce the facility. Selling performing assets at par while marking nothing else creates a contradiction the valuation committee can no longer explain away.
The third is a portfolio company refinancing or sale process. Sponsors will sell the winners, the companies that performed and can clear at strong multiples, both to generate DPI and to demonstrate the fund is working. The weeds stay. Marked wrong, unlikely to be sold at a loss, and with no covenant or maturity pressure forcing the issue, they sit on the books indefinitely. The exits that do happen create comps on record for similar assets, but nobody is required to use them. The gap between realized prices on the good assets and carrying values on the bad ones widens quietly, and the bad ones never come to market to prove it.
The Covenant-Lite Problem Is Deeper Than It Looks:
The standard critique is that cov-lite loans removed the early warning system. True, but it understates the problem. Covenants were never primarily a restructuring tool. They were an information and renegotiation trigger that forced the borrower to the table before the hole got too deep. Without them, the creditor has no standing until cash stops flowing.
Cov-lite combined with no amortization combined with PIK optionality creates a structure where a company can be economically insolvent on an enterprise-value basis for years while remaining technically current on all its obligations. Interest coverage might be 1.2x, but it's positive. The equity cushion might be negative on a comp-adjusted basis, but nobody has marked it that way officially. The company is performing. In any prior credit cycle, covenants would have fired, a restructuring would have happened, and the capital structure would have been right-sized. In this cycle, you can paper over it indefinitely as long as the business doesn't shrink.
EA is a live illustration of this dynamic. Silver Lake and its consortium signed at a price the public comps have since moved well below. The debt will get syndicated, the business will perform, and if the broader software market recovers the credit looks fine in hindsight. Reflexivity works in both directions. What the EA situation actually illustrates is that there are three distinct outcomes in this environment: narrative compression that reverses, real fundamental deterioration that doesn't, and a third category where the rational move is to walk from the deal entirely. EA is in the first bucket. Not every deal is.
Where This Goes:
The most likely path is a slow-motion grind rather than a sharp dislocation.
PE sponsors will start selectively realizing their winners both to generate DPI for LPs demanding distributions and to demonstrate the fund is working. This is already happening (look at lower middle market). The weeds stay on the books.
BDC managers with dual roles in private credit and PE will face increasing shareholder pressure on the incentive structures. The conflict, where the BDC's slow liquidation damages the same portfolio the affiliated PE fund is managing, is becoming hard to ignore. Governance activists will push on it. They are commercial animals pursuing their own interests while performing concern for all holders.
Credit quality bifurcation will widen. Large-cap, well-covered, sponsor-backed loans will stay performing. The middle market, where coverage is thinner and the equity cushion was smaller to begin with, will see the first real defaults. When a payment miss forces a mark in one lower middle market company, the contagion risk is sector-specific and real. Similar companies, similar sponsors, similar structures. The question is whether anyone in that chain is also missing payments.
Then the macro does the rest. If rates stay elevated longer than the models assumed, if AI genuinely compresses multiples rather than temporarily suppressing them, if the revenue growth baked into 2020 to 2022 underwriting proves to have been a COVID pull-forward rather than a structural step-change, then the earnings power assumptions holding the marks in place become increasingly difficult to defend. Not that anyone will be asked to defend them.
The system has been engineered so that no single party has the standing or incentive to force the issue. What breaks it is the accumulation of realized exits, tightened borrowing bases, and middle market defaults that collectively make the existing marks indefensible. That process is already underway. It just doesn't have a name yet.
There are other mechanisms worth noting. Continuation funds, insider buying patterns at both the manager and BDC level, LP secondary market discounts, dividend recaps, and the insurance capital channel into private credit all deserve their own analysis. We chose not to go deep on any of them here. What matters for this argument is that every one of them is another way to mask the same problem, extend the timeline, or obscure the gap between book and market. None of them change the structure of what we are describing.
Respect the framework. But this isn't 2008.
(citrini...is that a sandwich? Genuinely asking.)
Buying TXU bank debt at 67c, LYB claims converting to common, working the SIX cap structure — those were bottoms-up, single-name, level-specific trades with identifiable catalysts. Incredible dislocations, and there were so many more across 08-2011.
"Buy dislocated private credit" as a theme isn't a trade. I would qualify it as a posture...and a premature one.
The forced selling right now is happening at the fund wrapper level — redemption mechanics, not credit impairment (yet). Though equity cushions are getting squishy in select names and impairments are coming. Conflating wrapper stress with a true distressed cycle is how you overpay for something with better entries still ahead.
Could you use SMA drawdown capacity to selectively pick off individual dislocated names at the right levels? Absolutely. But that requires a trading playbook — know the credit, pick your level, size appropriately. Not an asset class call from my perch.
Also worth separating, a trade and an investment thesis aren't the same thing. Credits bounce 10-15% off wrapper stress lows and someone's doing an "investment" victory lap.
Early innings. Sliding chips in on select pick-off trades makes sense. All-in posture? Not yet.
Allahyar Rehman retweeted
Years ago, as a youngin, a mentor of mine told me that Goldman Sachs had a concept called "the person vs the seat". He explained it: if you look at a person and you put him on a seat at your firm, is it the seat making the money or is it the individual? Think about one aspect of the seat, which is the deal flow. Is the flow coming to the seat because it is Goldman, or is it coming to the person?
As human chimpanzees, we have a tendency to think we are the ones who are doing all the work and getting the job done (self attribution bias and other highly comical biases), but very often, we are just sitting in a really good seat. What if we leave? Will we still have all that flow? Could we even replicate the flow? How about the other benefits of the seat?
I think there are several lessons to this. a) make the seat very powerful, as @johnarnold explains in a part of the pod below. What are the conditions you can create at the seat level to make it powerful? b) the persons who are valuable are the ones who augment and preferably multiply the value of the seat. Those are the ones that you make a partner. c) The "seat" is the reason why if a person leaves a firm, bc he has done well there and then goes to the next shop and does not have the same performance. Very common.
By the way, on John Arnold. a) John just went to China, and he shared on X a recap of his trip. Must read. It complements very well the pod that @bgurley did with @altcap on China. (Go read Gurley's book!) John is on the board of META now and check out how good the board is. Would love to be a fly on the wall on this one. Must be business learning on steroids. b) An interesting event in market history is Centaurus' run-in with Amaranth. Worth taking a look at that. c) his other pods are also worth a listen.
Im consistently amazed at the quality of @patrick_oshag pods and also his questions. Crazy that we have access to these now. When I was starting out, Id have paid a small fortune to listen to this.
My conversation with John Arnold (@johnarnold).
Few people I've spoken with have as wide a view of the global system as John.
He was one of the most successful energy traders of all time, and after stepping away from markets he built a foundation devoted to solving America's most critical systemic problems in a principled way.
John's recent trip to China was the catalyst for this conversation, and I feel lucky we all get to learn from him.
We discuss:
- His trip to China and what it taught him about robotics, AI, and EVs
- What it takes to be the best (and what it costs)
- Building the best seat in the market
- The state of energy markets today
- NIMBYism as the impediment to progress
- What he thinks about the wave of nuclear startups
- Fixing America's broken systems: healthcare, criminal justice, education, and journalism
Enjoy!
Timestamps:
0:00 intro
0:45 China’s Rapid Transformation
3:53 Lessons from the Chinese EV Market
6:12 Robotics
11:22 The Discipline of an Elite Trader
15:42 Leveraging Scale and Proprietary Data
17:36 Lessons from the Baseball Cards
21:15 Trading Natural Gas and Market Dynamics
25:34 Innovation in the Modern Energy Sector
27:02 High-Level Goals of the U.S. Energy System
32:59 Overcoming NIMBYism
36:10 The Challenges of U.S. Transmission Lines
37:55 The Future of Nuclear, Fusion, and SMRs
44:00 The Economics of Solar and Battery Storage
48:28 Data Center Demand
50:28 Housing Reform
53:32 Rethinking the Role of Philanthropic Foundations
57:05 Improving the Criminal Justice System
1:01:58 Privacy and Security
1:05:03 Education and Life Outcomes
1:06:41 The Promise and Pitfalls of EdTech and AI
1:09:12 Identifying Market Failures in Healthcare
1:12:10 The Role of Regulation Across Different Systems
1:14:06 Journalism as the Fourth Estate
1:16:41 The Kindness of Hard Truths
The Borges short story “Funes the Memorious” really drives this idea home
Ireno Funes, falls off a horse and suddenly has the power of never forgetting
He laments "My memory, sir, is like a garbage heap."
Great Read!
Allahyar Rehman retweeted
Feature not bug. Think about the overfitting humans would do if we remembered everything. This is the major break through that will happen in the future … generalized learning not path dependent learning






























