@captive_dreamer he conveniently missed indian & asian people, contributing 1.7m over 30 years
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ishx | interstate.so
1.9K posts
ishx | interstate.so
@i_shaix
Founder https://t.co/FaTpQcl9ca, DeFi to bank billions. ex Snapchat, Amazon. 1x exit
San Francisco Katılım Şubat 2015
3.9K Takip Edilen6.5K Takipçiler
Trump is absolutely gemming out on Truth Social
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@SummerKiyohime if your goal is to fund your own retirement and you have a home, its a fantastic option
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@i_shaix Take out a liability to fund an Asset? You need to be on R/wallstreetbets
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Here is what is tragic, They tell you most Boomers are well off these days. They arent. Most of them are "Millionaires" due to the home, not their retirement accounts. they have to sell that home. and cant sell to you at the moment. Do not make this mistake, Millennials and Gen Z
BitcoinSapiens ⚡️@BitcoinSapiens
a friend’s boomer parents bought their home for $67,000 in 1993. Today, it’s worth ~$1,200,000 and he’s their only son so he thought he’d be a millionaire when they die but they just sold the house last week to enjoy their retirement 💀
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@KaeCapital didn't they do the same thing when gp2 came out
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Anthropic built a frontier model and decided not to release it.
First time a major AI lab has withheld a model on safety grounds. Not regulatory pressure, not a PR calculation. An internal decision that the model crossed a threshold they'd set for themselves.
You can agree or disagree with where they drew the line. But the fact that a line exists, and was actually held, is new.
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@TheOneandOmsy big tech cos had a pretty weak blockchain offering when i met them at devcon, stripe is the real killer, they have paradigm and real blockchain dev expertise.
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Would be pretty jokes if all the tokenized cash and assets just end up living on Google's blockchain
Excerpt from CME's earnings discussing their plans to go live w/ their settlement banks and clearing members on the Google Cloud Ledger by the end of year:
Omar@TheOneandOmsy
Google dropping some details on its L1 blockchain (GCUL) over on LI Chain will feature python based smart contracts. Aims to be neutral infra built for finance w/ “native commercial bank money on-chain”, 24/7 cap markets infra, payments and agentic capabilities. Looks like they plan to open it up to the full Google network with “billions of users” and “100s of institutional partners” Currently in private testnet, announced a tokenized asset pilot with the CME earlier in the year. Planning to provide further technical details in the months ahead
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growing up I learned a lot about poker and a lot about life from @WSOP champ @phil_hellmuth. co-hosted a 50-person tournament with him last week
hmu if you wanna join my may game, or if you want phil as an investor! he's a v active & fun angel 😇
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a16z @speedrun request for startups: GUIs for Agents
we’re still in the MS-DOS era of agents today - CLI, terminal sessions, file directories deleted by openclaw etc. while a small slice of silicon valley are power users, we're SO early for the rest of the world
at Speedrun, we’re looking for bold founders excited to bring the power of agents to normies everywhere. there's a whole slew of products to be built here - from agent builders to marketplaces to managed infrastructure
one broad idea we’re excited about are visual abstraction layers for agents. if you don't know exactly what you want, a command line / chat interface is paralyzing - you need to see options
1 example - think of a GUI or visual command center inspired by strategy games (ex. Factorio) where agents and workflows are represented graphically. skills, tools, MCP connections, background processes, etc could all be configured and shown visually in a workspace
on UX, strategy games have long perfected agent management. zoom to get a birds-eye view of your agents, batch and queue orders via shortcuts, assign agents in multiplayer etc. a well-designed agent command center would make multi-agent orchestration for normies feel easy & intuitive
most folks today still haven't moved beyond ChatGPT. the potential is enormous - just as Windows unlocked mass-market use of personal computers, the right visual abstraction layer could unlock agentic work for everyone - from individuals to enterprise teams
if you share our vision, we'd love to chat!
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Cursor acquired by big lab (I’m guessing OAI).
They were raising at 50B, so probably 60B+.
I have no insider info I’m just speculating.
Scott Wu@ScottWu46
here we go again
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@UsingLyft @Matthew1595111 Makes 0 sense, it's a democracy / socialist country with a large low educated populace. The elites doesn't make the decisions, voters do. Compared to China with an autocracy.
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@Matthew1595111 @i_shaix Yeah I was thinking that is def bad right? They’re the ones most responsible for overdeveloping the rest of India and support the caste system the most etc
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@ediyork You're making all prediction markets look bad maam stop grandstanding pls
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This is disgusting.
Would never be allowed on Kalshi or any other regulated platform.
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The lawsuits against prediction markets come from entrenched gambling interest. Remember at worst prediction markets are *more* fair than existing sportsbooks, which force users to bet against the house and kick them out if they are too good at betting.
Prediction markets will actually give sportsbettors better odds. Not to mention their very useful information externality.
Koleman Strumpf@KolemanStrumpf
Wow. Unless I am misunderstanding this is not lobbying: it is explicitly funding to be used as part of the AZ court case with @Kalshi. Recall the AZ AG filed a rather unusual criminal case against Kalshi. Those bemoaning political influence of PMs might want to rethink. 1/
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@mikulaja As I've always counseled, "Be a bank in the (balance) sheets and a tech company in the (Wall) streets."
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Gonna be interesting to see what happens to all these fintechs that are chartering banks, which are commonly valued on a price/book basis (rather than imaginary startup metrics, like rev multiples or MAUs)
Lucinda Shen@ShenLucinda
Fintech startup Mercury is in talks to raise at an over$5b valuation axios.com/pro/fintech-de…
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@feelsdesperate is this a parady? The student outcomes will not correlate to 100K / year spend and student outcomes might actually get worse
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My prediction is that by 2035 NYC will be spending >$100,000 per year per student in public schools.
You can’t put a price on a good education and our children’s futures.
Wall Street Mav@WallStreetMav
New York is about to do a huge payoff to the teachers union, letting them retire at age 55 (instead of 62) and lowering their contribution rate from 4.5% to 3.5%. This sweetheart deal will cost New York $1.5 billion. Meanwhile, taxpayers are fleeing New York for other states with lower taxes.
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@brian_blum1 is there an analysis of the marketing strategy he uses?
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"Medvi's flow is bad" couldn't be more wrong
Medvi is going to do $1.8 bn in sales this year
Profitably
IT's by a/b testing their marketing funnel, daily, with elements that VC's or tech guys might deem "ugly"
yet converts incredibly well.
There's a huge gap between people funding businesses and those actually driving revenue these days.
And for anyone wondering yes - the numbers in the article are real. Ask any affiliate or marketer in the GLP1 space. Medvi is one of 3-5 companies who did north of $300m in yr 1 with elite direct response marketing execution.
Zero moat, zero product differentiaton
Just pure marketing arbitrage
Sheel Mohnot@pitdesi
cool- but I don’t understand it. There are 100s of GLP factories that prescribe GLP’s after a few Q’s Medvi’s flow is particularly bad. I assume margins would have been competed away Hims did $2.35B of revenue with 2k employees. This 2 person co in the space is doing $1.8B?
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best vendor to painlessly convert a startup's crypto to cash and vice versa? NYC-based company.
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Really exciting paper, but there have been quantum hallucinations for years now with no results. Will now be the breaking point?
Polymarket seems to believe bitcoin won't replace SHA-256 anytime soon
polymarket.com/event/will-bit…
Justin Drake@drakefjustin
Today is a monumentous day for quantum computing and cryptography. Two breakthrough papers just landed (links in next tweet). Both papers improve Shor's algorithm, infamous for cracking RSA and elliptic curve cryptography. The two results compound, optimising separate layers of the quantum stack. The results are shocking. I expect a narrative shift and a further R&D boost toward post-quantum cryptography. The first paper is by Google Quantum AI. They tackle the (logical) Shor algorithm, tailoring it to crack Bitcoin and Ethereum signatures. The algorithm runs on ~1K logical qubits for the 256-bit elliptic curve secp256k1. Due to the low circuit depth, a fast superconducting computer would recover private keys in minutes. I'm grateful to have joined as a late paper co-author, in large part for the chance to interact with experts and the alpha gleaned from internal discussions. The second paper is by a stealthy startup called Oratomic, with ex-Google and prominent Caltech faculty. Their starting point is Google's improvements to the logical quantum circuit. They then apply improvements at the physical layer, with tricks specific to neutral atom quantum computers. The result estimates that 26,000 atomic qubits are sufficient to break 256-bit elliptic curve signatures. This would be roughly a 40x improvement in physical qubit count over previous state-of-the-art. On the flip side, a single Shor run would take ~10 days due to the relatively slow speed of neutral atoms. Below are my key takeaways. As a disclaimer, I am not a quantum expert. Time is needed for the results to be properly vetted. Based on my interactions with the team, I have faith the Google Quantum AI results are conservative. The Oratomic paper is much harder for me to assess, especially because of the use of more exotic qLDPC codes. I will take it with a grain of salt until the dust settles. → q-day: My confidence in q-day by 2032 has shot up significantly. IMO there's at least a 10% chance that by 2032 a quantum computer recovers a secp256k1 ECDSA private key from an exposed public key. While a cryptographically-relevant quantum computer (CRQC) before 2030 still feels unlikely, now is undoubtedly the time to start preparing. → censorship: The Google paper uses a zero-knowledge (ZK) proof to demonstrate the algorithm's existence without leaking actual optimisations. From now on, assume state-of-the-art algorithms will be censored. There may be self-censorship for moral or commercial reasons, or because of government pressure. A blackout in academic publications would be a tell-tale sign. → cracking time: A superconducting quantum computer, the type Google is building, could crack keys in minutes. This is because the optimised quantum circuit is just 100M Toffoli gates, which is surprisingly shallow. (Toffoli gates are hard because they require production of so-called "magic states".) Toffoli gates would consume ~10 microseconds on a superconducting platform, totalling ~1,000 sec of Shor runtime. → latency optimisations: Two latency optimisations bring key cracking time to single-digit minutes. The first parallelises computation across quantum devices. The second involves feeding the pubkey to the quantum computer mid-flight, after a generic setup phase. → fast- and slow-clock: At first approximation there are two families of quantum computers. The fast-clock flavour, which includes superconducting and photonic architectures, runs at roughly 100 kHz. The slow-clock flavour, which includes trapped ion and neutral atom architectures, runs roughly 1,000x slower (~100 Hz, or ~1 week to crack a single key). → qubit count: The size-optimised variant of the algorithm runs on 1,200 logical qubits. On a superconducting computer with surface code error correction that's roughly 500K physical qubits, a 400:1 physical-to-logical ratio. The surface code is conservative, assuming only four-way nearest-neighbour grid connectivity. It was demonstrated last year by Google on a real quantum computer. → future gains: Low-hanging fruit is still being picked, with at least one of the Google optimisations resulting from a surprisingly simple observation. Interestingly, AI was not (yet!) tasked to find optimisations. This was also the first time authors such as Craig Gidney attacked elliptic curves (as opposed to RSA). Shor logical qubit count could plausibly go under 1K soonish. → error correction: The physical-to-logical ratio for superconducting computers could go under 100:1. For superconducting computers that would be mean ~100K physical qubits for a CRQC, two orders of magnitude away from state of the art. Neutral atoms quantum computers are amenable to error correcting codes other than the surface code. While much slower to run, they can bring down the physical to logical qubit ratio closer to 10:1. → Bitcoin PoW: Commercially-viable Bitcoin PoW via Grover's algorithm is not happening any time soon. We're talking decades, possibly centuries away. This observation should help focus the discussion on ECDSA and Schnorr. (Side note: as unofficial Bitcoin security researcher, I still believe Bitcoin PoW is cooked due to the dwindling security budget.) → team quality: The folks at Google Quantum AI are the real deal. Craig Gidney (@CraigGidney) is arguably the world's top quantum circuit optimisooor. Just last year he squeezed 10x out of Shor for RSA, bringing the physical qubit count down from 10M to 1M. Special thanks to the Google team for patiently answering all my newb questions with detailed, fact-based answers. I was expecting some hype, but found none.
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