Rob retweeted
I don't think this causes a run, just an upward pressure on deposit rates and therefore, all else equal / as a first order effect, lower bank margins. There's been extensive research on how reduced search / transaction costs affect deposit rates (hint: it's not great). But! Lower search / transaction costs don't magically take deposits out of the system. Lots of people think agents will be like ozempic for human decision-making (i.e help people resist temptation / become more disciplined and "rational"). I suspect they'll instead make us more effective at actuating on our desires as they currently exist, not as we wish them to be. If someone wants to spend more on the things they enjoy, an agent that helps them discover and access more of those things likely increases their spending. Agents will also help us enumerate latent desire (sense and act on desire we didn't even know we had). Finding better uses for money generally increases the desire to spend it. Increased consumer spending = more business revenue. Whether businesses retain that cash or pay employees and suppliers, those payments generally move deposits between accounts. Unclear the longer-term effects on deposits and bank margins. Lots to consider here. But the broader corollary is more interesting IMO: the easier agents make it to satisfy our desires, the more consequential it becomes how those desires are formed. Therefore, the most important work of our time is to find ways to increase the QUALITY of our desires: to make our desires a function of epistemic novelty rather than sensory novelty. For this to happen, new institutions and institutional incentives are required. And there's not enough people doing meaningful work here. To me, this is a concrete alignment problem. An agent could become extraordinarily good at satisfying our preferences while the institutions shaping those preferences remain terrible.
Fascinating. Chief Economist at Apollo: agents could cause a bank run by sweeping household cash into accounts paying 3-5% instead of the 0.1% national average, causing banks to lose a large share of their cheap deposits.
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Hardening critical infrastructure should be a priority for policymakers, state and local officials, and operators today. Rather than stand up a new grant program or write new rules, let’s find a solution that can keep pace with the rate of technological change.
"Federal tax incentives for cybersecurity software investment offer a faster solution than creating new government programs." In @CyberScoopNews, @JoshuaTLevine and @LarsESchonander call on the executive branch to clarify how the tax code applies to cybersecurity expenses.
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lots of things to unpack: 1. our largest deal yet (big size) 2. our 1st investment-grade offtake deal (great credit) 3. a new product offering to help scale our business - that k3 annc was a part of it you think you know what USDai is, but the design is improving each month
Largest loan in the book yet. $128.9M for 32 NVIDIA GB200 NVL72 (2,304 GPUs) in BC, Canada. Backed by an investment-grade offtaker: a high-credit-quality customer contracted to purchase the compute capacity. 6.5% in escrow. 9% once funded. 3-year term.
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Rob retweeted
Dry Run has a new direction! It has been a blast building the podcast out with @khushii_w. We've met and interviewed many incredible thinkers and builders, and are excited to double down on making frontier technology more legible. We see a lot of abstractions thrown around in frontier tech, which is partly due to uncertainty. However, we think there’s an opportunity to put more deliberate effort into explaining, educating, and making these ideas accessible. These rabbit holes have been fun, we love getting into the weeds, and can't wait to share more with you!!
Frontier technology is scaling rapidly. Understanding lags far behind. Dry Run began with a narrow focus on innovation in fintech. Since then, we've been drawn to a broader goal: explaining frontier technology. By frontier technology, we mean fields where capabilities are outpacing the answers around them, including AI, robotics, biotech, and digital assets. On Dry Run, we bring on technical experts in their respective fields and ask them to explain the open questions that need to be answered to push the frontier forward. We break concepts down to first principles, give an unvarnished view of where capabilities and limitations stand today, and look at how these advances change the systems around us: work and labor, software and product development, business and organizations, hardware, and research. As progress accelerates, these technologies will increasingly affect how people work, create, build, and live. We want to shorten the distance between progress and understanding, because understanding leads to better questions, greater participation, and a clearer view of what is at stake. Technological change can be empowering, but there is still work to do to make it understandable. We want to make that work a bigger part of Dry Run.
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bring back sub 4 hour golf rounds and handshake deals
ten minute voice calls are the future of france and I will do everything I can to destroy the standard thirty minute google meet status quo
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many high-TAM surfaces remain ‘unverified'
This slide from @flappyairplanes’s talk at Sequoia’s AI Ascent is pretty cool. For those working inside any one circle, it generally feels fairly obvious that the application of AI to that industry has a large TAM. But the birds-eye view is still striking -- we are quite early in the diffusion process, and many high-TAM surfaces remain ‘unsolved’
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lack of structure (credit, supplier, offtake)
So many clusters canceled by offtakers at the last hour. Some players were clearly overextending on their capacity plans; others were opportunistically locking up supply to create spread for themselves. Either way, the lack of cash seems to have caught up with them.
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“andy, we’ve successfully thwarted the Muse swarm. our walled garden remains secure. surely the agents will stop trying…”
Amazon cuts off Muse. While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur Nobody wants to get commoditized or layered here. Let the games begin
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great weekend
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Rob retweeted
You turn search into learning through actuation and feedback. Therefore, "alignment" (in terms of both real-world safety and "being beneficial to all humanity") requires decentralized deployment. Specifically, it requires deployment to the local information environments most likely to produce useful feedback in this vein. Otherwise we are creating superhuman searchers, not superhuman learners. And superhuman searchers are more dangerous, because they can mutate environments arbitrarily without having any conception of which mutations are beneficial vs. harmful (and in which contexts). So, alignment, in one sense, is the responsibility of every firm in the economy. But more specifically, the responsibility of the organizations that have access to and are best at searching / learning over the most important (information rich) subsets of economic reality. What follows is that banning open source would be a disaster for alignment. The firms that are the best at alignment through deployment are generally the most differentiated and therefore least likely to want to use closed-source frontier lab models and infrastructure. Sovereignty = safe and valuable machine intelligence.
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abundant intelligence leads to scarce context. the hot ball of money continues moving up the stack (states, permissions, workflows, etc.)
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vinod's got mike tokenmaxxing and it's not even week 2
Seahawks HC Mike Macdonald says he sees AI tools like Copilot becoming a regular part of the team's workflow, and views it as a way for Seattle to gain a competitive edge 😯 The team's director of football analysis uses AI to run game models and sift through film, believing it can contextualize data at a quicker rate than a coach could 👀 (via The Athletic)
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it's simple, just shift the scarcity elsewhere else
The future is a world where companies eventually train their own agents to maximize shareholder value You, as a human, will interact with their agent through your own personal agent aligned to you Websites won’t exist Neither will apps Watch, as the internet is rearchitected
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who has the ground truth needed to improve each agent?
Replying to @lefttailguy
think this is the right direction. labs can commoditize post training wherever a scoreboard already exists (coding, trading, software all have cheap, fast feedback loops). domains where the loop is missing, less certain like robotics, materials, comms need a company to manufacture the ground truth (verification*) first. probably why were seeing a bunch of teams go pitch xyz to build evals in the physical world around. nitter.net/rsarrow/status/2094906…
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live thinking: spice banks - who actually wants to bank the businesses buying compute hours? most prefer assets, but what about flows. finance purchases across suppliers, understand what is earns via capacity, commitments. - take inference business collecting from customers / paying suppliers on a slew of schedules. how do you get comfortable to lend against the cash left over? - customer has cash sitting w/ supplier before token gets served. finance portion of it. get access to collections, margins, contract expiries. small wedge into much larger purchasing decision. you now know 1) when they need more compute 2) what they paid 3) whether they used it wisely. - opens door to matching supply&demand. this is where a lot of people comp to marc/glencore. renewals come up, bring suppliers, negotiate terms, finance the purchase. - keep finding things worth financing because youre already on the inside. starts to look like a merchant bank. layer on a bunch of products.
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Rob retweeted
"...restoring the combined US manufacturing and defense industry to its share of GDP in the 2000s would require $2 trillion in incremental investment. Returning to 1980s levels would require a staggering $6.5 trillion."
Apollo Puts A Multi-Trillion-Dollar Price Tag On America's Industrial Comeback zerohedge.com/economics/apol…
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Rob retweeted
ZEC5L might be the best performing token on HyperEvm right now Feels like spot, hits like perps
Once again, $ZEC is showing what leveraged tokens can do on Bounce. Feels like spot, hits like perps.
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so much pain as a fan
I found the one thing the fruit fly CAN'T do... Solve the Atlanta Falcons QB situation Watch until the end
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CLARITY is expendable: - crypto gets its rulebook & DC gets a tech policy win - passage proves congress can ' do something' raising credibility of future reg aimed at the labs - labs seek to shape the next regime, wonder who the @HesterPeirce of that world will be
see CLARITY as the easier legislative win that raises the floor for ai regulation. crypto gets regulatory clarity, DC gets proof it can finish a complex technology bill & all eyes shift to labs/china.
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rip.
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friction premium is probably the right way to think about a lot of that margin. businesses where some % of take rate exist because the customer has better things to do than reprice the relationship every day. so maybe the question everyone should be asking is what % of gross margin is value creation v. exhaust. likely brand/trust/underwriting/proprietary supply survive (allocated accordingly).
This is what Insurance companies (and banks) should be TERRIFIED about. Muse found a new/cheaper policy, and canceled the old one. Inertia and information asymmetry will no longer be enough to keep customers. Exciting times!!
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