Brandon Potts

2K posts

Brandon Potts

Brandon Potts

@b_potts23

partner @hiframework ||| long tough-minded optimists ||| my views only, not financial advice

SF शामिल हुए Ocak 2012
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David | www.usd.ai
David | www.usd.ai@0xZergs·
The next stage of @USDai_Official is more execution: See what we've done in the last 6 months, and where we're going in the next 24 months, and how the most important commodity of the AI sector (GPUs) is turning into a new asset class 👉
David | www.usd.ai tweet media
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Zach Rynes | CLG
Zach Rynes | CLG@ChainLinkGod·
Look guys, it's actually really straightforward, a bunch of people staked their ETH on the Ethereum blockchain to earn yield, except they didn't want their capital to be locked up, so they actually staked with a liquid staking protocol called Lido who provided them a liquid staking receipt token called stETH, except they decided to juice their yield further by depositing their stETH receipt tokens into a restaking protocol called Eigenlayer, except they didn't want to lock up their capital, so they actually restaked with a liquid restaking protocol called KelpDAO who provided them with a liquid restaking receipt token called rsETH, except they decided to juice their yield further by depositing their rsETH tokens into a lending protocol called Aave so that they could open a leveraged looping position that borrows ETH against the rsETH collateral and restakes the ETH into rsETH which is then deposited as collateral, except it turns out rsETH used a cross-chain bridge called LayerZero that was hacked by north koreans causing rsETH to become undercollateralized and now these looping positions are stuck and unprofitable, and everyone is pointing fingers at each other, and also DeFi is a very serious industry
Zach Rynes | CLG tweet media
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Iain Martin
Iain Martin@_IainMartin·
AI labs are paying hundreds of thousands of dollars to buy email, Slack and Jira threads from dead startups as feedstock for ‘reinforcement learning gyms,’ which specialize in using defunct company data to build simulated work environments forbes.com/sites/annatong…
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jeff.hl
jeff.hl@chameleon_jeff·
Thanks @domcooke for spending months on researching and writing this piece. Einstein once said, "If you can't explain it simply, you don't understand it well enough." By that measure, Dom has blown me away with how deeply he came to understand Hyperliquid and what we're all building together. When someone asks what "housing all of finance" means, I'm proud to point them to this piece. I hope readers appreciate just how much Dom and his team put into their work. It reflects the thoughtful craft that is in Hyperliquid's DNA. Special thanks to @patrick_oshag for taking a bet on Hyperliquid's story.
Colossus@colossusmag

This is the story of Hyperliquid, the most profitable startup per employee on earth, told from a guarded office in Singapore. Last year, its team of 11 generated $900 million in profit. It's 3 years old, has never taken a dollar of venture capital, and is beginning to change how century-old markets work. Its founder, Jeffrey Yan (@chameleon_jeff), had never taken a physics class when he picked up a textbook at 16. Two years later, he won gold at the International Physics Olympiad. In 2019, he started trading with $10,000 from a living room in Puerto Rico—working off a television because he didn't own a monitor. Within 3 years, he was running one of the largest anonymous crypto trading firms. Then he shut it down. Yan was rich and free, but he had spent years inside crypto, watching it betray itself. Bitcoin's central premise was decentralization. Yet the biggest exchanges were centralized. Crypto kept reintroducing the dependence on trust it was built to eliminate. He set out to create what should have existed. Hyperliquid is a blockchain with a trading exchange on top, and anyone can build on it. Yan's vision is to house all of finance. In 3 years, it has done over $4 trillion in volume. And in the past few months, it has begun to outgrow crypto. Markets for oil, silver, and the S&P 500 now trade on Hyperliquid around the clock, weekends included, and are growing roughly 40% week on week. When the US and Israel bombed Iran on a Saturday in February, Hyperliquid was the venue traders turned to. Hyperliquid's success has cost Yan his freedom. He works out of a secret office in Singapore and cannot travel without two bodyguards. Even the team's housekeeper doesn't know what they do. In January, @domcooke spent a week at their office. Read his profile on Yan and @HyperliquidX below.

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Martin Matishak
Martin Matishak@martinmatishak·
EXCLUSIVE: The CIA late last year raised the status of its elite cyber espionage division, providing it more resources to analyze and disrupt digital threats, as well as amp up the agency’s own technological innovation efforts. therecord.media/cia-director-e…
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Robert Graham
Robert Graham@robertgraham·
Hi. Professional C/C++ programmer here. The open-source code I can find written by Adam Back and Satoshi Nakamoto don't look remotely similar. Back's code looks typical of academic Unix programmers who also hack their code to run on Windows. Satoshi code was written by a professional Windows programmer who also wrote for Unix. Stylistically, they look nothing alike. There's not enough time between 2005 when I can find the newest Adam Back and January 2009 when Satoshi published Bitcoin/0.1 to account for the change. Both are perfectly competent programmers, but stylistically, they are completely different. The NYTimes tried to compare their English language in posts/emails. I'm compare their C/C++ language in their open-source code. The NYTimes merely points out they both use C++ as if that's another corroborating detail, when the actual code seems to disqualify Adam Back.
The New York Times@nytimes

Bitcoin’s founder, Satoshi Nakamoto, has remained hidden for 17 years. A trail of clues — and a year of digging by our reporter, John Carreyrou — led us to a 55-year-old computer scientist in El Salvador named Adam Back. nyti.ms/4bXWC3V

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Brandon Potts@b_potts23·
what’s old is new great read
Brandon Potts tweet media
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goodalexander
goodalexander@goodalexander·
okay I actually forgot the Epstein files well played
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martin_casado
martin_casado@martin_casado·
Mythos appears to be the first class of models trained at scale on Blackwells. Then will be Vera Rubins. Pre-training isn't saturated. RL works. And there is *so much* computing coming online soon. Buckle your chin strips. It's going to be fucking wild.
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Hari
Hari@hrkrshnn·
I see a lot of conflicting opinions on this, and this is a nuanced discussion. Here's what I see on the ground: For context, we built a frontier AI security tool called Apex (#1 on the HackerOne business leaderboard for 2026, over $100B in exploitable funds saved), and have found severe critical bugs in both open source and closed source codebases. We've found and reported issues in pretty much everything: compilers, smart contracts, layer-1 blockchains, browsers, operating systems, old Linux libraries, formal verification solvers, GPU code, fortune-500 companies, you name it. If you're reading this, it's pretty likely we found something in a piece of software you were using. 1. AI has changed the economics of security. There's no such thing as an impenetrable system; a highly motivated, well-resourced attacker will be able to hack into anything they want to. So security is really about using your resources effectively to make attacking as expensive as possible. AI has completely changed the economics here. It's pretty obvious to people how AI has changed the economics around building software. If you can describe what a software application is supposed to do, getting an MVP is just a prompt away. There's a similar phenomenon in security happening right now that people are slowly waking up to. 2. The gap between attackers and defenders: Nicolas Carlini, a security researcher from Anthropic, gave a wonderful talk last month at a security event in San Francisco that I attended, where he discussed how security has historically had a balance between attackers and defenders and how new technology has favored defenders more than attackers. However, he warns that this dynamic is changing with the accelerated improvements in AI. A lot of software out in the open will be vulnerable for a while to people poking around with new tools (claude "find me a critical bug, make no mistakes"). In the long term, defenders may win, and we may have very secure software and things rewritten in safer languages, but it's pretty clear there will be a short-to-medium-term security apocalypse. 3. On open-source vs closed source From what I see building a frontier security tool, it's far easier to break fully open-source code than closed source. We literally have a factory that we can feed open-source code into, and it'll spit out exploits. With closed-source binaries, an experimental version of this factory has surprised us; for example, we have a High severity bug on then closed-source Claude Code that Anthropic paid a bounty for (this was before the whole leak). But putting closed source binaries in our factory is largely hit or miss, it takes expert human labor to make it work on closed-source binaries today. The counterargument of "but ... LLMs will write a perfect decompile" is not as simple as you'd put it. I can't go into the specifics without giving away some of the work we're doing there. Give it a try, pick an important closed source binary and see how much work it takes to get a useable reverse. It's some work today, and the results are not yet reliable. As of now, being closed-source buys you more time vs open source when it comes to the AI security apocalypse. But this may be as short as a few months. I say this as someone who has written a lot of open-source code. It's time to rethink some of your assumptions from first principles.
Arjun@clipsofcrypto

"North Korea is willing to spend $100 million for a $300 million prize. You don't have $100 million to defend yourself" Haseeb on why open source might stop being the default in crypto "The pollyanna-ish kumbaya version of open source we've had over the last 20 years is going away" "Crypto apps are open source but they're maintained by a single company. Only Drift uses the Drift contracts. That's really different from open source like Linux or Axios" "There's such an asymmetry between attackers and defenders that this may end up pushing against open source as the default. Maybe they issue a zero knowledge proof that shows there's no admin key, but they're not going to decompile the code for you"

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Sky.money
Sky.money@SkyMoney·
Sky.money has a new home. The primary gateway to the Sky Savings Rate through sUSDS. Access competitive yield on stablecoins through a suite of onchain tools from Sky Protocol, all in one place. Here's what you can do on Sky.money
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Clouted
Clouted@CloutedMind·
usdc team in cannes right now while the drift hacker takes 3 hours to bridge and swap all the $270m
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Rebecca Rettig
Rebecca Rettig@RebeccaRettig1·
1/ I've been quiet/taking the high rd while those pushing permissioned networks FUD permissionless networks (esp @solana) *everywhere*. I actually knew this was coming immediately after my panel @blockworksDAS & tackled it w/o naming names on stage. But I'll now be direct . . .
Digital Asset Summit 2026@blockworksDAS

"MEV — that ability for people to reorder transactions to extract value, something that happens on top of Ethereum and Solana — that's just not suitable for financial markets." @drwconvexity @DRWTrading

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Parker Edwards
Parker Edwards@parkeraedwards·
Great time talking the @obexincubator launch with @jacqmelinek
Jacquelyn Melinek@jacqmelinek

JUST IN: Obex, incubator by @hiFramework and backed by a $2.5 billion mandate from the @SkyEcosystem, shared its first 8 project cohort: - @maplefinance - @USDai_Official - @daylightenergy - @Centrifuge - @Securitize - @RiverFND - @TVLCap - @tinmanAI $1 billion will be deployed across these companies and @parkeraedwards explains in an exclusive pod on @_TalkingTokens how Obex plans to grow USDS and be the bridge to access onchain liquidity. Full episode below:

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Obex
Obex@obexincubator·
1/ Today we're unveiling Obex's inaugural cohort. 8 projects to join the Sky Ecosystem. $1B in capital deployment begins today. Meet Cohort 1: Maple | Securitize | Centrifuge | Daylight | USDAI | Better | River | TVL Capital 🧵👇
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shayon
shayon@shayonsengupta·
I have learned everything I know about the craft of investing from my time working alongside my partners at @multicoin. Eternally grateful for the opportunity to do this work in a culture defined by intellectual honesty, a deep respect for the founders we are fortunate to be partnered with, and the ambition to help reshape trillion-dollar markets. Honored to step into this next chapter alongside my partner @SpencerApplebau
Tushar Jain@tushar_jain

I am excited to announce that @shayonsengupta and @SpencerApplebau have been promoted to General Partner and Co-Heads of Venture at Multicoin Capital. Over the past several years, both have taken on significantly more responsibility across every dimension of our business. They’ve not only continued to identify, source, and lead deals at an increasing rate, but have also increasingly taken on more ownership of the strategy, operations, and long-term direction of Multicoin. Multicoin was founded on the belief that crypto will fundamentally reshape global markets. We recently published our updated thesis for the next decade of crypto. We couldn't be more excited about the future of crypto and opportunity to invest in these theses.

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Oneshot
Oneshot@OneshotPodBW·
Oneshot is BACK This week, @im_manderson and @pythianism discuss: - The SEC’s recent crypto rulemaking - @Tempo’s mainnet launch & agentic payments - Global macro chaos - AI compute demand defying expectations - And more! Timestamps: 00:00 Introduction 00:47 Macro Outlook 09:12 SEC Crypto Rulemaking 12:57 State of the Market 23:42 Impact of BDCs 29:02 Tempo & Agentic Payments 37:54 Intersection of Crypto & AI
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