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Venkatesh Rao ☀️

@vgr #4606

Delver at contraptions.venkateshrao.com, running summerofprotocols.com, host of /gloom ☀️
132347 Follower 505 Following
SoP 2025 program is announced! Highlights:

1. Curriculum development grants for faculty who want to develop courses about protocol science/studies/entrepreneurship — $500k pool — deadline April 1

2. Protocol science fiction story contest, $5k in prizes; AI-assisted stories not just accepted but encouraged — deadline April 14

3. A distributed AI x blockchains workshop in Bangkok April 21-25; regional travel support available — deadline to register March 21

Plus a lot more. Please share with any educators and SF writers you know

https://open.substack.com/pub/protocolized/p/sop-2025-accelerating-order?r=1cjha&utm_medium=ios
Yes! Mediocrity ftw :D
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Matthew McDowell-Sweet
@msms·a day ago
Why "Normal" Engineers Are the Key to Great Teams - IEEE Spectrum

“When people talk about world-class engineering organizations, they often have in mind teams that are top-heavy with staff and principal engineers, or that recruit heavily from the ranks of former Big Tech employees and top universities. But I would argue that a truly great engineering org is one where you don’t have to be one of the “best” or most pedigreed engineers to have a lot of impact on the business. I think it’s actually the other way around. A truly great engineering organization is one where perfectly normal, workaday software engineers, with decent skills and an ordinary amount of expertise, can consistently move fast, ship code, respond to users, understand the systems they’ve built, and move the business forward a little bit more, day by day, week by week.”

https://spectrum.ieee.org/10x-engineer
Ok this idea is growing on me and is upgraded from minor to major. The options vs crypto example is peripheral. This is a way to view something much more fundamental — the explore-exploit tradeoff. For a fully certain value commodity, in a perfect competition market with instantaneous price discovery, the frontier collapses to a point at (1,1). A perfectly unbelievable fantasy collapses to (0, 0). The 45 degree ray is the fantasy-to-reality turnpike. As you learn more and the thing becomes more real, the frontier initially expands then contracts, with end points on the unit square perimeter. The (1,0) - (0,1) line is the explore-exploit transition frontier. When the frontier crosses that, you’re in fully convergent exploit mode. At that point you can start thinking about “IPO” or “exiting” the idea in some way, since either correlatedness and liquidity can be maxed out. The whole finance metaphor can be ditched. I’m calling it modal information theory — ie how possible worlds become real.
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Venkatesh Rao ☀️
@vgr·2 days ago
Just came up with a principle that may already have a name: Correlation-Liquidity Tradeoff (CLTO): The correlatedness of a speculative asset to an underlying value thesis and its liquidity form a tradeoff curve. Private startup stock has high correlation low liquidity. Crypto tokens have low correlatedness high liquidity. Former requires IRR fictions. Latter can experience wild excursions based on factors having nothing to do with the thesis. Between them is a Pareto frontier

Came up with this idea from a weird angle. I was actually thinking about how reward schedule tempo is slower than decision tempo, causing problems in reinforcement learning.

Eg you are a novelist who writes 1000 words everyday but the reward schedule is every 40k words when you finish and ship a novel and get market feedback.

Or a robot trying sequences of actions to accomplish a task. It only actually gets a reward when it finds a satisficing sequence. Agile iteration can increase feedback rate but not necessarily reward rate.
Theory: By the time there’s trust in a product, there’s no need for trust in the token. If the token doesn’t enable actually clever mechanics (eigenlayer is a good example maybe?) it is superfluous perhaps
2458
rafa
@rafa·3 days ago
Name a crypto product with PMF that has a token that matters for their PMF
Industrial era societal capacity: Dinosaurs

Trumpism & friends: Asteroid

Protocols: Mammals
Just came up with a principle that may already have a name: Correlation-Liquidity Tradeoff (CLTO): The correlatedness of a speculative asset to an underlying value thesis and its liquidity form a tradeoff curve. Private startup stock has high correlation low liquidity. Crypto tokens have low correlatedness high liquidity. Former requires IRR fictions. Latter can experience wild excursions based on factors having nothing to do with the thesis. Between them is a Pareto frontier

Came up with this idea from a weird angle. I was actually thinking about how reward schedule tempo is slower than decision tempo, causing problems in reinforcement learning.

Eg you are a novelist who writes 1000 words everyday but the reward schedule is every 40k words when you finish and ship a novel and get market feedback.

Or a robot trying sequences of actions to accomplish a task. It only actually gets a reward when it finds a satisficing sequence. Agile iteration can increase feedback rate but not necessarily reward rate.
https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/5d9a492d-989e-45de-4da0-76430b5b0500/original
delve or delve not, there is no prompt
https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/feb3ec2e-efce-4bef-ccca-5c9b46432600/original

Venkatesh Rao on Substack

The problem with bluffing, outside of games like poker and bridge where you do it for fun, is that you are shorting trust long-term for short-term gain. This means relationships eventually bottom out to the speed of maximal distrust rather than accelerating to the speed of maximal trust. This means win-win dynamics slow down and may enter zero-sum or negative-sum domains. Bluffing cleverness is best suited for war, not peace. For driving adversaries out of the game, not growing with friends. Bluffing imposes a cognitive tax not just on your counterparties but yourself. You have to think 3x-10x for the same amount of movement. The Blitzkrieg speed of modern maneuver warfare, whether with tanks or trade wars, might look like rapid developments, but the net economic speed of this regime is a snail’s pace. The Trumps and Putins and now Elons of the world congratulate themselves on their tactical cleverness, inspired bluffing, and pace of activities, but activities aren’t accomplishments. The problem with the “look I’m a clever negotiator” art-of-deal mentality is that you waste a lot of thinking cycles to decelerate to the speed of distrust, and then become vulnerable to being sucked into conflict mode even if you want to go for the win-win at first. You’re so afraid at being screwed over you decide to be the first to do it, and it becomes a self-fulfilling prophecy. Hyperstitional theory shitshows. Everybody gets screwed. The alternative isn’t naïveté. There’s good game theory research demonstrating that negotiations proceed best when both sides come prepared to be surprised by mutual discovery of creative new alternatives. Options that show more win-win headroom than either side was expecting (see Axelrod, Argumentation in Foreign Policy Settings). This is the basic intuition behind iterated prisoner’s dilemma (IPD) models. Trump’s negotiation approach (and mercantilist approaches in general) resembles a different, darker model, sometimes called the shrinking pie model, often used to model strike-breaking negotiations. A sort of iterated game of chicken. In the IPD approach, there’s actually an interesting regime where the game structure isn’t quite a PD (ie it’s not quite a win-win setup), where mutual exploitation is in fact the optimal relationship. This is where you take turns screwing each other over, a mode that in PD notation would be called CD-DC-CD-DC… C=cooperate, D=defect. I just learned of an interesting example of this — Nvidia’s Jensen Huang believes in what he calls a “rough justice” model of business relationships, where sometimes you get to win, sometimes the counterparty does, but over the long term you both win on average. A bit like taking turns paying for lunch with a buddy, but more adversarial and exploitative. This is supposedly the basis of the 30-year Nvidia-TSMC partnership. Rough justice is better than mutual exploitation though — it implies a wary trust in the future plus a slight distrust in the present. This is a good head-in-the-game mindset. It’s the speed of trust-but-verify over the long term. Slower than the speed of raw trust, but more robust to assholery. In Axelrod’s later experiments, TFTT (tit-for-two-tats), a noise-resistant version of the famous TFT strategy, emerged as dominant. It has similar properties to rough justice. Mutual exploitation isn’t as good as win-win (CC^n) but isn’t as bad as speed-of-distrust relationships, which simply devolve to a DD^n mutual defection regime as the pie rapidly shrinks to nothing. You might feel clever along the way by winning more iterations, but you’re destroying almost all the value. The opportunity cost of speed-of-distrust behavior is enormous. You have to want to feel like a “winner” and successful screwing-over a lot to solve for that. This is where the so-called “art of the deal” genius is taking the world.

substack.com
No mattter what the new media tech thing is, there will be a group of people saying “now it will be all about curation, curation will be very important.”
“Melissa Chavin, a US immigration lawyer based in London, said Ms Burke could be released either through voluntary departure or expedited removal, but the process of appearing in front of a judge as part of voluntary departure could be delayed because several dozen of the approximately 700 immigration judges had resigned or been fired by the Trump administration.”

This is so dumb. This woman *wants* to leave and can access the means to do so.

https://www.bbc.com/news/articles/c80y3yx1jdyo
The right mental model for getting people into crypto is not “adoption” but “immigration”

Crypto needs a Statue of Liberty, an Ellis island, and an Emma Lazarus type poem
It’s surprising that the X-files is so rewatchable, given that 2025 is overrun by real conspiracy theorists who are generally toxic and unpleasant people who should logically have ruined the show for us by now.

I think it’s because the conspiracy theorists on X files all the way up to Mulder are charming and relatable and want to believe and know awesome things that would be wild if true. Sadly the real-life ones of today are less interested in UFOs and telekinesis and more interested in finding ways to believe the worst possible things about people or groups they dislike, which would be awful if true, and require no magic or alien science .

A realistic Mulder today would be a partisan hack and hate the smoking man for being appointed by the other party. He would be obsessed with vaccines, birth certificates etc. Instead of being banished to the basement he’d be running a high-powered inquisition. The lone gunmen would be spreading rumors about people being pedophiles. Sculley would be an influencer.
It’s honestly hard to like hacker news people 😐
Medieval lifetime travels leaderboard
———————————————————-
1. Ibn Batuta (1304-1378): 117,000 km (73,000 miles)
2. Zheng He (1371-1433): 50,000 km (31,000miles)
3. Marco Polo (1254-1324): 24,000 km (15,000 miles)


431, 776, 231. My ancestor, Delver Rao (1280-1350): 5 km (3 mi)
Like every other living thing I’m just a dissipative system. Just more dissipated and less systematic.
What is the protocol equivalent of an “operator”?
Any good frames that do AI things for money?
Accelerationism: If you floor the gas pedal hard enough, gasoline will meme itself into existence in your tank.
If you want peace, prepare for war

If you want war, prepare for peace

If you want the benefits of war without the costs of peace, lie through your teeth about everything
/gloom
If you’re temperamentally thorough, you should look for domains where efficiency is basically impossible — open, messy, complex natural environment, topological disconnectedness, multi-scale structure

Lots of intrinsic friction that feels like a feature rather a bug. High information content per unit space time.
Let’s play guess who said it again. No googling or asking llms

“Always try to be nice, but never fail to be kind”
The central dogma of SV is perhaps that you need high talent concentrations to scale. ‘If you can’t hire 500 engineers in a quarter when you hit takeoff you’re ngmi” belief system. Even with a lot of trad companies moving away from Bay Area for scale out, the belief in talent concentrations is still very high. The “SF is so back!” endemic meme underlines the strength of this dogma.

Crypto ecosystems are a clear counter-example. Outside of big events like Devcon no SV-style concentration exists anywhere. The implications of this have not yet sunk in. I’m convinced it’s not a special case. Any kind of digital tech can be effectively produced by decentralized talent networks. SV is addicted to single-geography concentrations for 2 reasons:

1. Investors are rich and lazy and want their investments down the street

2. Boomer/GenX managers don’t know how to manage virtually and don’t want to learn

Crypto capitalizes differently and has millennial leadership so broke free of the dogma
Hey folks! We've put the first 2025 SoP workshop together. It will be April 21-25 at CMKL University in Bangkok and focused on open distributed AI x blockchains (loosely d/acc inspired). The name "khlongs and subaks" refers to Thai and Balinese words related to rice agriculture, which is our motif/inspiration. Here is the call for applications. There will be technical, cultural, and public policy tracks (including a hackathon component). If you'd like to attend, please apply using the registration/application form. The workshop is free and limited travel support is available for those who need it.

Capacity is limited so we will be prioritizing people from the region and with the right background from the topic. Application deadline is March 15. Please share this call with specific people who might make good participants.

https://www.cmkl.ac.th/event/khlongs-and-subaks-open-distributed-ai-x-blockchain-protocols-in-southeast-asia
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Venkatesh Rao ☀️
@vgr·20:58 04/03/2025
Becoming increasingly obvious that distributed AI is the killer app of blockchains. When models need to have financialized “trust but verify” relations with other models.

We’re doing a week-long workshop on this at CMKL in Thailand in April. If you’re working at this intersection in some substantive way (tech, policy, culture) and especially if you’re from SEA, we want you there. Stay tuned for the announcement in a few hours when SEA starts to wake up.

Khlongs and Subaks: Open Distributed AI x Blockchain Protocols in Southeast Asia - Carnegie Mellon - CMKL│Thailand

Apr 21, 2025 | CMKL University | The Summer of Protocols (SoP) program, funded by the Ethereum Foundation, in collaboration with CMKL University, Seapunk Studios, and Global Chinese Community, is excited to present Khlongs and Subaks: Open Distributed AI x Blockchain Protocols in Southeast Asia—an immersive 5-day workshop from April 21-25, 2025, at CMKL University in Bangkok.

www.cmkl.ac.th
Highly recommend. Anything nifty gets up to is bound to be fun
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niftynei
@niftynei·01:18 05/03/2025
ya’ll keccers is right, come hack on bitcoin at our first ever SXSW event in Austin next week!!
Trying to read 3 books in parallel

- Chip Wars

- Nvidia Way

- Giordano Bruno and the Hermetic Tradition

Look upon my readings ye mighty and despair
Reupping
4606
Venkatesh Rao ☀️
@vgr·17:38 21/02/2025
Has there ever been a token standard proposal that triggers a receiver end accept action and goes to a return address if it doesn’t happen? Ie “push-based claims” instead of “pull-based claims.” Default “reject” over “accept”

Proposal: a class of tokens that come with a default burn/return address and expiry date. Once sent, the recipient wallet “sees” it (like an airdrop) but unless it claims it within the window, the token goes to return address. So you just compare the issue timestamp, any claim timestamp, and the time constant, to determine who actually owns it. UX: past expiry period the status is unambiguous and permanent, and same as today’s tokens. The return address can only be the origin address or a known burn address like 0x0000…

Ie a heisen-coin that decoheres after a set period. Proposed name: looper or loop tokens. Or boomerang tokens. Can come in fungible and non-fungible varieties and replace current erc

Anyone want to develop this as an ERC with me 😬😰?
Here’s a Tamil joke

What do you call an informal ai to ai greeting

aiaiyo
*Seinfeld voice* is this anything
https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/5c545784-ff7c-46af-136d-01e1b31e9e00/original
The current political project of memeing a particular vision of America into existence is going to fail.

Been thinking fairly hard and skeptically about this conclusion because I’m politically predisposed to believe it and hope for it, but I’ve convinced myself it checks out and am starting to bet accordingly. No interest in making the case, sharing my reasoning, or persuading others, but figured the headline was worth sharing.
Sending a concerted new techlash gathering steam, targeting AI. Resembles anti-crypto in many ways.

I guess trial by techlash is a rite of passage.

Feels different from 10y ago though, due to tech maga shennanigans in DC
Becoming increasingly obvious that distributed AI is the killer app of blockchains. When models need to have financialized “trust but verify” relations with other models.

We’re doing a week-long workshop on this at CMKL in Thailand in April. If you’re working at this intersection in some substantive way (tech, policy, culture) and especially if you’re from SEA, we want you there. Stay tuned for the announcement in a few hours when SEA starts to wake up.
This is dumb. The old Meeker decks were uninspired and marginally useful at best even when restricted to the tech economy. As a way of analyzing the macroeconomics of a country, the corporate-sectoral microeconomics approach is not even wrong. Basic deficit hawk thinking wrapped in technobabble to lay a paper trail of post-hoc justification for doge theater. https://www.axios.com/2025/03/03/us-government-fiscal-trump-doge
This note is too long to screenshot. Click over to substack if you want to read it.

https://substack.com/@contraptions/note/c-97695182

Venkatesh Rao on Substack

Baumol has a classic 1990 paper, Entrepreneurship: Productive, Unproductive, and Destructive (attached) on how entrepreneurs are a context-specific manifestation of a more general archetype that can be good/bad for society depending on incentives. Abstract: “The basic hypothesis is that, while the total supply of entrepreneurs varies among societies, the productive contribution of the society's entrepreneurial activities varies much more because of their allocation between productive activities such as innovation and largely unproductive activities such as rent seeking or organized crime. This allocation is heavily influenced by the relative payoffs society offers to such activities. This implies that policy can influence the allocation of entrepreneurship more effectively than it can influence its supply. Historical evidence from ancient Rome, early China, and the Middle Ages and Renaissance in Europe is used to investigate the hypothesis.” I found this paper circa 2015 but discovered the point independently myself around 2012, and have a fun Myers-Briggs story about it. The attached slides are from a 2012 talk I did at USC, applying MB and other frames to Silicon Valley culture. At the time I was on the fringes of it, casing the joint and figuring out a way in, having just moved west from DC. I was nerding out over MB at the time, and had a bigger MB nerd friend make a chart of SV-MB archetypes for me, which I paired with a satirical archetype chart I found online. My point in the talk was that SV culture obviously had a light and dark side to it. For example, the good ENTJ (hustler) can flip to the bad ENTJ (evil overlord) with an environment shift. This is Baumol’s point made psychographically. I got an illustrated live example a few years later. I had a passing consulting encounter with an org (which I won’t name) led by 2 guys in their mid 30s, with a troop of enthralled young guys in their early 20s staffing it (at ~40 I was older than all of them). One of the leaders also happened to be an MB nerd and he made an interesting remark — “I’m an ENTJ and all the INTJs follow me around and [cofounder guy] is an ESTJ and all the ISTJs follow him around.” Translation: All the Hackers were following the Hustler around and all the Org-Man kids were following the Player around. It’s a first order approximation of course, but the org was full of a fairly narrow range of ~4 types with stereotypical relationships. They were all Ts. No Fs in sight. The org fell apart shortly after my encounter and there was talk of how it had screwed people over (I never verified the whole story but it’s the only time I’ve ever had to write off an unpaid consulting invoice in 15 years). This is not an aberration. It is in fact the typical story in tech because most startups and entrepreneurial orgs of any sort fail, and the character arcs of the protagonists traverse the full cycle from light to dark, hero to heel. “Entrepreneurs breaking bad” is not the exception, it is the rule. Ask any SV veteran of failed startups and backstabbing endgame dramas. It’s one reason I stayed a consultant. Despite my “slightly evil” shtick and “sociopath” consulting theories, I’m literally too nice for the startup game. If you flip to the dark side pattern, my anecdote would be about Contractors following Evil Overlord around and Thought Police following Conman around. This particular org fell apart before it could flip to the dark side (typical), but many spend a long time in dark mode before failing. These archetypes don’t just have context-specific expressions, but patterns of association that flip consistently and persist across contexts. You don’t have to buy into Myers-Briggs to buy this theory. You can stick to the loose empirical model of Baumol. But I think the MBTI model of this phenomenology has real legs. Most startups fail, so you can imagine what the typical SV experience is. Not glorious one-shot rides to success, but repeated iterations of this light/dark flipping cycle punctuated by a minority experiencing the rare breakout success. https://www.jstor.org/stable/2937617 https://www.slideshare.net/slideshow/usc-annenberg/15526455#1

substack.com
The world is no longer consistent, available, or partition resistant. We’re supposed to be able to get 2/3 but now it’s at 0/3 🤬
At this point we should all just learn Russian
https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/dcfa74a7-9a44-4a6f-252f-8d6bb53df000/original