nathan

159 posts

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nathan

nathan

@nthndvs

Katılım Ağustos 2022
311 Takip Edilen864 Takipçiler
nathan
nathan@nthndvs·
@astridwilde1 The inflation occurs when the debt is incurred, not when it is monetized
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nathan
nathan@nthndvs·
@TheStalwart @JavierBlas Lots of good points made in other comments that help explain this, but I think another factor is that the reputational cost of being wrong is asymmetric. If you are long and wrong, your clients are probably seeing Trump say the war is almost over all day and think he always TACOs
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Joe Weisenthal
Joe Weisenthal@TheStalwart·
Every normie feels in their gut that oil should go higher. And every oil expert seems to think that every day we get closer to the true disaster scenario. So why is it that oil is not only below the highs of the month, but, as @JavierBlas pointed out, far below the 2022 highs?
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nathan
nathan@nthndvs·
Worth noting you can also achieve much more targeted demand destruction in oil by raising taxes on petroleum products specifically, but of course we will most likely see exactly the opposite. Rates will go up to defer demand while gas taxes will be cut to maintain it.
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nathan
nathan@nthndvs·
This is all well and good if it is in fact a 10-20% shock with a duration of 6-12 months. But what if we end up with severely damaged infrastructure and a shock with a much longer term duration? All you have done is raise financing costs on rebuilding the physical infrastructure
Quantіan@quantian1

You raise interest rates is to defer economic activity into the future from the present and you lower it to bring activity from the future forward to the present. If the world suddenly has 10-20% less oil for 6-12 months, do you want more or less activity now vs in 6-12 months?

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nathan
nathan@nthndvs·
And with GCC oil and gas offline, USA status as far and away the world's largest producer of oil and gas may actually let this work better than expected, at least for awhile
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nathan
nathan@nthndvs·
If the government is genuinely considering shorting futures as a tool to manage oil prices, you can see how they might be attracted to yield curve control to manage interest rates if we get an inflationary shock.
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nathan
nathan@nthndvs·
White collar labor is primarily a transaction cost for accessing intelligence. If intelligence gets commoditized, this has huge implications for white collar workers and equally large but widely varying implications for the businesses that employ them. Dismissing concerns about AI labor disruption as "this time is different" thinking can just as easily be reframed as a naive adherence to the idea that "nothing ever happens" and both ought to be couched in considerable uncertainty. Commoditization of intelligence might genuinely be different than prior technological revolutions. Additionally, there is massive stratification among white collar workers in terms of ability to harness AI effectively, and blowing off these concerns as recycled Marxist fearmongering requires a quasi-religious faith in the entrepreneurial spirit of the white collar bourgeoisie. But believing that the government will step in to elegantly address the disruption requires a similar level of credulity. The primary risk that the market faces right now is that it needs AI to be transformative enough to justify all the data center capex (and also have that value actually accrue to the entities who are on the hook for it) while not being so transformative that it creates serious shocks in the labor and credit markets. While certainly possible, this seems like a very difficult needle to thread, and based on the response to Citrini's piece, something a lot of people have not spent much time thinking about. Recognizing that white collar labor is largely a transaction cost for accessing intelligence makes it easier to reason clearly about the spectrum of possible outcomes.
SuspendedCap@ContrarianCurse

Doesn't matter right now, but the Frontier Lab models are totally broken. Current landscape: -Memory 70% GM, NVDA 75%, TSM 65% GMs. ODMs negligible, hyperscalers doing ok, though 100/610b in capex was memory price increases so might get a lot tougher -Frontier labs are incinerating capital like its sport. Back to the trough over and over, and since inference costs are variable, the higher the revs, the proportionate the losses. There has been zero signs of break away -Chinese models are ripping off the US labs which not only craters the value of the training runs, but allows for smaller cheaper models because rather than sorting a giant corpus, you get clean data via prompt extraction. These smaller models and Google funding Gemini with Search profits are keeping a lid on pricing. This is contributing to the huge losses in the ecosystem -Usage is so vertical that plenty of capital is willing to assist in land grab mode, but I don't think this model is sustainable at all At this time there are basically three winners - Chips/DC suppliers, consumers, and Enterprises that can arb the cheap tokens. Maybe someone can replace half their accounting department for 50k in tokens. Huge savings for the enterprises. But 1) the frontier labs have no good way of capturing that value and will continue to have huge losses 2) the market is telling you that software that will likely be the modality automation is enabled on (as shown today by Ant), is also going to have price compression via seats. This is not a sustainable equilibrium. The models need to find a better way of capturing value. Software cos that understand the proprietary nature of the data and workflows they provide won't sit idly by and less revs get cut by seat loss. The most AI market friendly outcome, I believe, is that software actually ends up being ok, and what actually does get fucked is the white collar labor market.

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nathan
nathan@nthndvs·
@buccocapital Regarding point 3, one very plausible version is that the value of AI doesn't really accrue to any business at near the scale of equity value it is destroying. Much of white collar labor is just a transaction cost to access intelligence.
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BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
Anthropic is destroying literally billions and billions and billions of market cap in public markets every single week. Either 1. Anthropic’s valuation is very wrong 2. The market is wrong 3. The market is right and the value will not accrue to Anthropic
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nathan
nathan@nthndvs·
@TheStalwart Interesting to see the argument that both of the following can't be true at the same time: 1) ROI on new AI capex is poor/unsustainable 2) AI adoption is an existential threat to some software businesses Seems pretty straightforward to envision a world where that's the case
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nathan
nathan@nthndvs·
Stablebonds from @etherfuse are some of the most innovative products on Solana and a really great example of what internet capital markets can be. TESOURO and CETES are giving me access to quality assets I want but otherwise can't access, with excellent transparency on top.
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nathan
nathan@nthndvs·
@TheStalwart It would be interesting to compare this to some of the valuation growth of the private AI companies now that would likely have been public already back then.
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Joe Weisenthal
Joe Weisenthal@TheStalwart·
$CSCO shares rose 56% in Q4 of 1999 and then another 44% in Q1 2000 $QCOM in 1999 was even more insane though Q1: +140% Q2: +130.7% Q3: +31.8% Q4: +272%
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nathan
nathan@nthndvs·
@Poopcrates @DeItaone yes, but banks are centralized and can forcibly migrate everyone to new encryption. much harder for blockchains to do.
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jordan
jordan@Poopcrates·
@DeItaone won’t quantum breaking encryption be a way bigger problem than just bitcoin? surely Normal banks won’t be affected, Right?
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*Walter Bloomberg
*Walter Bloomberg@DeItaone·
Ray Dalio about Bitcoin: "I have a small percentage of Bitcoin I've had forever, like 1% of my portfolio. I've said the same thing over and over again about Bitcoin. I think the problem of Bitcoin is it's not going to be a reserve currency for major countries because it can be tracked and it could be conceivably with quantum computing controlled, hacked, and so on and so forth."
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nathan
nathan@nthndvs·
People are likely to find out that privacy is a meta the same way that revenue was a meta Turns out humans have always liked these things
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nathan
nathan@nthndvs·
@mert @tristan In some ways this is not dissimilar from actual cash where when you withdraw physical currency from a bank it becomes “shielded” in the sense it can no longer be easily traced.
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mert
mert@mert·
in theory it should still be OK to have transparent ZEC on CEXes (it doesn't really matter though because you can just withdraw and then shield after) I do suspect it will get more scrutiny for delistings in the future though, which is why it's important we now got it out on to solana and soon hyperliquid, you won't need CEXes in theory
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Tristan Yver
Tristan Yver@tristan·
Why is Monero delisted everywhere while Zcash is still on Coinbase?
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nathan
nathan@nthndvs·
Why can't a decentralized L1 enable compliance with securities laws at the token level by using things like Token Extensions on Solana? Of course the trading protocol built on the L1 would likely have additional obligations depending on how the extensions are configured, but that's not different than an L2.
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_gabrielShapir0
_gabrielShapir0@lex_node·
@_jhunsaker why? they are pretty much ideal for tokenized equities as a decentralized L1 can't comply with securities exchange requirements
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_gabrielShapir0
_gabrielShapir0@lex_node·
this is what many critics don't understand (or purposefully try to hide) about L2s they are not just single servers cooking a blockchain because they are connected to Ethereum, you can force them to include certain transactions in blocks no "decentralization" within the L2 as such is needed, Ethereum itself provides it
apoorv.eth@apoorveth

✨ Introducing the easiest way to force include txs on L2 Connect to dapps & send deposit txs on L1 for @Optimism chains, with a single toggle! 🧠 be ahead of the curve if the L2 sequencer goes down

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nathan
nathan@nthndvs·
@toly True sortition has never been tried
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nathan@nthndvs·
Maybe a better way to phrase this would be that counting “transactions” (however they are defined) may not be the optimal way to measure information transmission across all market structures
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nathan
nathan@nthndvs·
With all of the NASDAQ throughput comparisons going around it seems under-explored whether sending millions of messages per second to update quotes in an order book is really the inevitable end state of global trading Maybe it is, but it seems less obvious than most people think
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