Rahul Ramakrishnan 🟧 (@rahulprama) header
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Cyberspace
Joined December 2015
Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)Photo by Rahul Ramakrishnan 🟧 (@rahulprama)
Rahul Ramakrishnan 🟧 retweeted
Our $STRC IPO funded the purchase of 21,021 BTC. Investors bought preferred shares; Strategy bought Bitcoin. Digital Credit opens credit markets to Bitcoin. More capital for Bitcoin. Same 21 million cap.
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Extremely impressed with the pace of innovation even with the scale of @strategy
Strategy is proposing daily dividends on $STRF, $STRC, $STRK, and $STRD, accruing every calendar day, including weekends and holidays, and paid the next business day, with economics unchanged. The proposed changes aim to support price stability, liquidity, and demand.
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Rahul Ramakrishnan 🟧 retweeted
Some thoughts on Dario’s post: 1. Dario does not actually address Gavin Baker’s account of what he said – something he could easily deny if it were inaccurate. 2. Dario claims his critics live in a “bubble” where all regulation equals regulatory capture. He calls this an overly simplified view and notes that “Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people.” This argument is a straw man. Of course treating all regulation as capture would be overly simplified – but almost no one holds that view. I have repeatedly argued for strong antitrust enforcement to keep industries competitive, especially Big Tech. If Anthropic continues toward monopoly or duopoly status, I would be among the first to demand those rules apply. 3. Regulatory capture is not vague or in the eye of the beholder. Nobel laureate George Stigler defined it as regulation acquired by an industry and designed and operated primarily for its benefit. Stigler challenged the traditional view that government regulation arises from a benevolent state protecting the public from market failures. Rather, industry groups have concentrated stakes and pour resources into influencing regulators, whereas the public’s stake is diffuse and unorganized. The revolving door between companies and the agencies that regulate them compounds the problem. Anthropic understands these dynamics: it has hired multiple senior Biden AI-policy officials and built a substantial government-affairs operation plus a network of aligned organizations to push its preferred frameworks at state and federal levels. 4. Dario has consistently pushed for a new federal agency to review and approve frontier models prior to release – a proposal framed variously as an “FDA for AI,” an “FAA for AI,” and most recently a “FINRA for AI.” I call it a “DMV for AI” because a review process modeled on the FAA or FDA (which takes years) or FINRA (which issues rules for a staid industry widely seen as protecting incumbents) will create long queues as AI models wait for testing and approval. This process will only become more labyrinthine as rules accumulate to prevent theoretical harms. This would handicap the U.S. relative to China, which will not adopt the same constraints. It would also undermine Anthropic’s own business model, whose pricing power depends on remaining ahead of open models. Whatever Dario states today, it is difficult to believe the company would simply accept outcomes that erase that advantage. 5. Anthropic is on track to become one of the most valuable companies in history, with the resources to navigate any approval process and shape the rules while competitors wait. Dario wants open models under heavier scrutiny – he has called them dangerous in Senate testimony, criticized them for not being centrally monitored or withdrawn, and linked them to IP theft. He says he has never sought a ban, but he could achieve a similar result by insisting that identical rules apply to both open and closed models. The U.S. risks becoming an island of costly closed models while the rest of the world races ahead with broader choice. 6. Dario acknowledges that AI is structurally centralizing but attributes this mainly to chips and scaling laws. Access to compute matters, but the deeper risk is who decides which capabilities are available to whom. His preferred pre-deployment testing and FAA/FINRA-style oversight would place that gatekeeping power in a federal bureaucracy working hand-in-glove with a small number of frontier labs – reinforcing centralization rather than countering it. 7. The second part of Dario’s post assumes we have amnesia about Anthropic’s well-orchestrated campaigns hyping AI fears. His May 2025 claim that AI would wipe out 50 percent of entry-level knowledge jobs within five years still lacks supporting evidence fifteen months later. Similarly Anthropic breathlessly promoted its heavily contrived “blackmail” study on 60 Minutes. Yet Dario blames public negativity on a long-standing loss of trust in institutions rather than his own messaging. 8. These narratives have done more than anything to shape public fear. People are left asking the same question Mark Zuckerberg posed: why race to build a future you describe in such negative terms? Thomas Sowell’s "The Vision of the Anointed" captures the mindset – elite intellectuals convinced that only they are enlightened enough to control the outcome. As Zuckerberg notes, concentrating power in the hands of an enlightened few has rarely produced the promised results; the practitioners turn out to be less enlightened in practice than in self-conception. 9. Gavin Baker summarized the disagreement cleanly on our pod: Dario believes frontier AI is too powerful to distribute; we believe it is too powerful to centralize. Dario appears to believe, sincerely, that safety and progress are best served by centralizing authority in a marriage of corporate and state power. The weight of human history gives us reason to fear that outcome.
1/2 Thanks Gavin for an especially thoughtful exchange. I don't usually spend much time on social media but I wanted to engage here because it really brings out the heart of an important conversation. First, on regulation, I think that “either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely” is a false choice.  I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world.  Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people.  I don’t necessarily agree with that perspective either, rather I think it’s complicated and really depends on what the “regulation” consists of.  But in particular I think that those in the “regulation = regulatory capture = concentration of power” frame often underrate the decentralizing power of objective and fair institutional processes.  A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice.  At their best, institutions can vest power in ideas rather than people, and thereby decentralize that power. This is why Anthropic has always made its policy proposals very carefully.  We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors.  California’s SB53 (which we supported), and even the much-maligned SB 1047 (which we were ambivalent on), completely exempt any company below a certain amount of revenue or model training costs from being covered at all (it was $500M for SB 53, lower for 1047 but we objected to that).  More recently the testing process we’ve advocated for at CAISI and the White House involves more rigorous tests for frontier models than off-frontier models — something that differentially advantages challengers.  Similarly, the “Pacing the Frontier” letter envisions (or at least Anthropic’s preferred implementation of it envisions) modulating the pace of the very best models while not constraining those who are catching up.  This hurts the business interests of the frontier labs and helps challengers, including open-weights! Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws).  Open-weights do help some with this but are nowhere near a sufficient solution because they simply shift the concentration somewhat to those with the most compute and chips (which are roughly the frontier labs plus maybe hardware providers).  By contrast I think the right “rules of the road” can simultaneously (a) address AI’s cyber/bio/alignment risks, (b) institutionally constrain the power of the frontier AI companies, and (c) leave room for open-weights models while also addressing the specific risks that they bring. BTW I do not think that the events of the last few months have “failed to result in [my] preferred regulatory path”.  The approach that the Trump administration is reported to be taking — pre-deployment testing for frontier models, and also testing of open-weights models when they get closer to the frontier — is one that I am very supportive of, though of course I have to see the details to be sure.  I am also supportive of Demis Hassabis’ ideas around a FINRA-like entity.  This contrasts with six months ago when most of the industry was still pushing for preemption of all state regulation and no apparent federal approach either.
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> Onboard more data > Accelerate model improvements
We're launching code storage and git hosting. Origin gives teams and agents a place to host, review, and collaborate on code. Available this fall. Join the waitlist. cursor.com/origin-waitlist
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The $MSTR leadership team are master chess players and are improving credit quality and their chances of entering into the $SP500.
Strategy has completed the repurchase of $1.5 billion of its 2029 Convertible Notes at an ~8% discount to par, generating an incremental 0.7% BTC Yield and lowering aggregate debt to $6.7 billion. $MSTR $STRC strategy.com/press/strategy-…
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I haven’t driven to work in a year.
You don’t have to drive anymore
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Rahul Ramakrishnan 🟧 retweeted
“The biggest mistake we make in life is thinking we have time” - Kobe Bryant
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Woh. Yeah - I’m switching.
WhatsApp’s “encryption” may be the biggest consumer fraud in history — deceiving billions of users. Despite its claims, it reads users’ messages and shares them with third parties. Telegram has never done this — and never will 🤝
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> Bye bye AMEX > Hello @fold_app ! ⚡️ Just got my new CC and finished consolidating all recurring expenses to it. The UX is amazing!
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Years of BTC podcasts/books are compressed below 👇
I spent 7+ years studying money full time to understand how the financial system was designed to keep you poor forever. Here are the top 10 brutal truths no one will ever teach you (THREAD): 1. Every dollar is your life compressed into a token.
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Wow. Jarvis is here.
You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.
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Replying to @X
Great job on the negotiations @elonmusk
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Rahul Ramakrishnan 🟧 retweeted
Computers will prefer Bitcoin over metal. The risk underwriting of Bitcoin is far more calculable with smaller standard deviation than metal. Computers will make up a larger proportion of decision making of the future. In hindsight it will have been obvious.
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Spot on.
Venezuela Just Proved the Bitcoin Bull Case, And No One Is Paying Attention Maduro used Tether to move 80% of Venezuela's oil revenue. Billions in sanctions evasion, settled on Tron since 2020. Then the US made a phone call. Tether froze the wallets. Game over. Everyone's focused on the arrest. The real story is the lesson every finance minister on earth just learned in real time: Stable coins are a leash, not an escape. If someone can freeze it, it isn't money. It doesn't solve sovereignty. First principles: USDT is dollar plumbing without SWIFT. Faster. Cheaper. Still has a CEO. Still has a compliance department. Still picks up when Washington calls. This is why USDT adoption exploded, 71-year-old grandmothers in Caracas pay their HOA fees in tether now. But useful ≠ sovereign. The entire value proposition for sanctions evasion just got publicly falsified. Now do the game theory: You're Iran. Russia. Any country hedging against dollar weaponization. You just watched Venezuela's "crypto solution" get shut off like a light switch. Where do you put reserves now? USDT? Compromised. Yuan? Political strings. Gold? Try settling $500M across borders in 10 minutes. CBDCs? Same kill switch, government branding. There's exactly one asset that clears final settlement without asking permission from anyone. 21 million units. No CEO. No freeze function. No phone number. This is the ad Bitcoin never had to buy. The most desperate, highest-stakes capital on earth just learned there's only one door. Price doesn't reflect it yet. It will.
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Im a big fan of AI applied to health. Enterprise SaaS has enough help. 😂
Physician use of AI nearly doubled in a year. Today we launched OpenAI for Healthcare, a HIPAA-ready way for healthcare organizations to deliver more consistent, high-quality care to patients. Now live at AdventHealth, Baylor Scott & White, UCSF, Cedars-Sinai, HCA, Memorial Sloan Kettering, and many more. openai.com/index/openai-for-…
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Let’s go ⚡️
JUST IN: MSCI decides to NOT exclude Michael Saylor's Strategy and other Bitcoin treasury companies from its indexes.
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Rahul Ramakrishnan 🟧 retweeted
Buck has landed. Not a stablecoin. Not a bank. A Bitcoin Dollar that earns by the minute. 🦌🤘🔥 $STRC $MSTR
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Very well said. Small cos can’t compete bc they can’t catch $MSTR. Big cos can’t compete bc they’re diluted.
$STRC flat lining at $100 is the most feared pricing in the financial markets by the incumbents Their only choice will be to join Strategy on the ride. JPM, BoA, etc can’t possibly compete with STRC without acquiring the shares first. Reason being is they cannot manufacture 10%+ return reliably without catastrophic leverage across their entire business. If JPM carved off an entity to do this with Bitcoin, they would be validating the treasury model emphatically creating an even greater advantage for Strategy Unless of course you think Bitcoin will fail as a monetary network and will be superseded by another asset with even better monetary properties… good luck with that 🤗
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