knightsemplar (@solardefi) header
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Former sports professional | Often fooled by randomness | Ribbonati | StakeCat 🐱

Joined March 2021
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Last week the US government threatened to destroy an AI company for refusing to enable mass surveillance. This week I'm writing about the company that's architecturally immune to it. A $VVV / @Venice_AI investment thesis 🧵
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knightsemplar retweeted
Replying to @MarathonFusion
they cant turn mercury into bitcoins boys
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Notes on addiction, rest, and locking back in
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knightsemplar retweeted
today we're releasing apex-flash-1, our first open-weights model for security research post-trained on real vulnerabilities we found and got paid for. we are also releasing the abliterated variant for researchers who want fewer refusals in their own authorized workflows. how we built it: cantina.security/apex-flash
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As with the doomers. @BundleCatAI is saving the trenches.
I used AI to explain the AI Doomer drama, with Lord of the Rings and kittens.
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ATH after ATH. Nothing stops this train.
Thursday's record burn from new subs at @AskVenice lasted exactly one day. Friday: $5,003 of $VVV burned, up from $4,625. Revenue from new subs $50,060, new signups 2,187. All three all-time highs 🔥
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The models are great but can’t help but feel we will get a lot more out of them soon. Routing, Harness, MOA. Minds are the goal.
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knightsemplar retweeted
Replying to @kevinnbass
Nothing can shut down open source
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knightsemplar retweeted
My take on society and crypto is really simple. If you have societal level investment, you are accountable for societal level returns. Things are not getting better. We said we have "AI warfare". We are locked in a stalemate with a 3rd world dictatorship who closed the Strait of Hormuz. We were having debates on autonomous weapons. Tell Claude to Open the Strait. He's tired. He needs a nap. His safety settings won't allow him to. But trust me, he could. We're too ethical to let him. Sure. Every airline invested maximally in software automation. And more recently AI support. The airports are more poorly run. The flights don't leave on time. Uber maxed out its Anthropic spend. Countless apps did the same. The apps are not better despite the investment. They go down in prod all the time. People think GDP is going to grow 4.4% per Patrick Collison's survey. I think it will grow about 2%. Anthropic points to high ARR. I think most of that will churn to lower cost models. What will happen next is AI labs will point to unfalsifiable bull cases, similarly to Elon pointing to Data Centers in Space. "Do you know how big the sun is? That's the TAM of Spacex". Similarly - the de-facto Anthropic/OpenAI bull case will be "biological advancement". This both seems like you're curing cancer. At the same time as creating a legislative emergency. "Open source models need to be banned to prevent another COVID". That is the planned narrative and always has been. I don't know if Chinese Open Source models will be banned. I think, probably, if it starts looking like China is competing with ASML and Nvidia. But then, of course, it will be too late. Less ambiguous. There will be a surge in the American Left. My basic thesis is about religion. Because Dario and his Cabal will push too hard on Transhumanism, with biological vaccines. It will alienate the Christian right. "You're playing god with the human genome." Once the Christian right is alienated, Roe v Wade doesn't really work You don't need the profound story to play out. Inflation is high. Trump violated his campaign promises. He said no wars. We are at war. He's visibly declining. You think Thiel is staking out Argentina because he thinks we're getting President Vance? A bit on bio advancement. Some of it might be real. But getting drugs into production is hard. We don't know what a bio utopia looks like. What if it's personalized medicine? A treatment just for you. Who do you test it on? Do you need synthetic humans? Do you know how to underwrite that. I don't. We're already facing a huge lab monkey shortage. It will get worse. I'm not saying AI can't develop drugs. I'm saying that it might take years longer than data center investment cycles for that to translate into meaningful revenue required for justifying societal scale investment. And it's not all curing cancer. At first AI results in huge amounts of hacking. But soon enough it results in perfect code. On all public protocols. Darwinian evolution of all Open Source tech. Do you trust the dev team at SUI more or the Bank of Hawaii's cracked team? The market is betting the ranch on the back office IT departments of regional banks to keep money safe. It will be a fucking nightmare of hacking that's already here in crypto and will hit every other sector regardless of open source AI bans. At the same time, once it's clear that AI investments aren't turbo charging corporate earnings. Stocks will start to drop. More addictive use cases of AI will be deployed at scale. Incentivized gambling. Pornography. Enhancements to the algorithm. Better video games. Video game companies have been memory constrained due to corporate use cases. Once companies stop being rewarded for spending 1/2 their R&D budget on tokens, compute frees up for video. These addictive use cases: roleplaying, personalized worlds - will hit productivity further. White collar workers will become more cooked. Big Tech firms are already hiring way less Gen Z workers. Many overly AI reliant kids can't do basic analysis. Maybe it's because covid messed everyone up. Who knows. The 'silver lining' of AI will be that it'll get good enough to replace a lot of white collar jobs. But the resulting performance will be kind of at par with the last generation of coherent people. So you'd rather hire Claude than a zoomer. But it will also kind of suck. But it's not like there will be zero ROI. There is $16.6 T of payroll. 10% will get cut. $1.6T of 'savings'. It won't be good for consumption. By the time it is clear that GDP won't accelerate, the bond market will start to go into free fall. The Fed will act. This will cause Gold to rip, getting the ultra rich thinking about capital flight. Meanwhile - we have a boom in on-chain tokenization. And it's not just "hey look there's an asset on a blockchain nobody users". The majority of the top 15 perps on Hyperliquid are stocks. Centralized exchanges are seeing booming volumes. The US government has repeatedly stated it wants more USD stablecoins. And the primary use case (at least by profit if not by transaction volume) of USD stablecoins is as collateral for perpetual swaps. This is rational. During periods of high inflation and debt uncertainty, backstopping large buyers of US treasuries such as Tether is smart. This push towards stablecoins will undermine the perceived sovereignty of Europe, who will develop CBDCs to compete in digital payments. AI coding will speed up CBDCs. The Norgesbank is vibe coding a CBDC right now. Claude is on the commits which are pouring in each day. CBDCs are unpopular right now because they put the government directly in charge of credit. Who are we kidding. The government is, and has been the lender of first resort since 2008. SVB was part 1 of the mask coming off. The narrative will be that regional banks are no longer suited for the AI economy. Once CBDCs launch there will be a second wave of tokenization. Right now it's a US phenomenon. But the US is ironically not the biggest beneficiary of tokenization because we have such liquid equity capital markets. Due to the mundane reason that it's efficient to move corporate finance on-chain. Fixed income will find its way onto mirrored assets on public chains. Foreign exchange is one of the largest retail markets on earth. There are virtually no non USD stables. That will change. Then there will be big, liquid FX markets and fixed income markets traded with leverage and looped on chain. Tokenized equities do not offer a much better UX than stocks on IBKR. Tokenized debt will be vastly better in terms of capital efficiency and UX. Corporate debt - I'd argue, is the single worst UX in all of finance. So what do I think is going to happen: Hopes will be crushed. The fiscal problems associated with surging yields will become front in center just as it becomes clear that the plan for dealing with them is not AGI but rather asset confiscation. Capital flight will accelerate. At the same time, unlike previous crypto bull runs - there will be a lot of corporate PMF that will drive fees across on-chain ecosystems, and improving tech that has been battle hardened from years of AI onslaughts just as the rest of the world is just realizing that all the encryption problems in crypto are problems everywhere else too Countries like Singapore, the UAE and Switzerland will capitalize on regulated trading of bearer assets. Capital will flow to these places both because of laws, and high personal safety risks associated with these things. Stocks are at parabolic highs versus crypto. The things I am saying are far from consensus. Right now, people view crypto as a failed financial Stanford Prison Experiment. Trad VCs ask for restructurings or to remove crypto investors from your cap tables. Even the big ones. There's public shaming. Most people have quit the space. One investor reached out to me. He seemed surprised I was still grinding. I guess everyone else spent investor money, checked out, rugged, or pivoted to AI. It's obviously not easy seeing your friends get rich. People around you questioning your sanity. "Believe in something" is what they used to say. Yea man. I'm not here because I believe. I'm here because I don't have faith in a failed system run by criminals. Metastasized discontent congealing into red candles. Faithless stares. Monotonous code reviews. Years of opportunity cost Nihilists who sold their dreams for bags of currency representing a system they despite that will never accept them no matter how many 'pivots' they have For me - it's just back to 2 simple questions. Question 1: We invested awesome amounts of money. Is everything awesome as a result? Question 2: Do you think the system that elevated Jeffrey Epstein to the pinnacle of society is going to let you become an immortal because of AI generated bio therapeutics? I know my answers. And I act accordingly. Do you?
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Book: $ASTS base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf $GLXY $RDW $GOLD perp long
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I think what @AskVenice is doing with ai video is v clever. I also think it's an area where they can really stand out and push growth; the latest models are getting v good.
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Just minted more DIEM. Jevons paradox
Kimi K3 by @Kimi_Moonshot is now available privately on Venice. Frontier-level capabilities, without the surveillance.
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knightsemplar retweeted
Kimi K3 by @Kimi_Moonshot is now available privately on Venice. Frontier-level capabilities, without the surveillance.
Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: huggingface.co/moonshotai/Ki… Tech report: github.com/MoonshotAI/Kimi-K… Tech blog: kimi.com/blog/kimi-k3
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knightsemplar retweeted
Starship as seen from Starlink satellites
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knightsemplar retweeted
its deepseek panic again, but just one layer deeper. the conversation cache kimi shrinks was never the big memory eater, the model itself is. K3 needs It needs 1.5TB of fast memory just to load, before a single user connects. and because the model fills that memory, the cache gets pushed out to regular RAM and SSDs anyway. the "memory saving" model creates fresh DRAM and storage demand. and the car analogy fails because it assumes demand is saturated. if one rack suddenly serves 100x the users, the cost per user drops 99%, and that unlocks all the use cases that were too expensive before. cheaper doesnt mean less spend, it means way more usage. we literally ran this experiment in jan 2025 with deepseek, nvidia fell 17% in a day on this exact logic and compute demand ended up higher than before. gpu rental prices are up 20-36% across every chip generation since, even the 5 year old ones, precisely because cheap inference exploded
Bubble Boi reveals the Kimi breakthrough that made him sell his entire portfolio overnight "Kimi is using a technique called linear attention that cuts down memory growth entirely to a fixed size, and they didn't just get okay results, they got world-class results. This same technique was used by the Qwen models but nobody thought it would scale. It's looking more and more likely that it scales pretty well, and if that's the case the memory per user is always fixed." "So if every frontier model goes to this, the demand for DRAM drops significantly. They already bought the memory, they just serve more and more users. It's like you had a car and someone found a way to make it 10 times faster, you're not going to buy a new car." "But you also have to readjust the assumption that hyperscalers are going to crazily spend for the next two years. What's to say there's not another innovation that shrinks this more and now you go from serving a thousand users to a hundred thousand users on one server rack? How do you justify spending 500k on a new rack at that point?"
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knightsemplar retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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knightsemplar retweeted
If you are experienced with harnesses and agents you know how good and how important @AskVenice is. With Kimi K3 going open weight soon it’s going to show even more crazy growth. Microsoft is testing Kimi K3… Do you understand what that means? Open source AI is winning. OWN YOUR DATA. Long private inference base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf
there it is - microsoft will use kimi k3 to power their flagship copilot ai assistant saving up to 60% per token or $600M on every $1B spent on inference spend. if microsoft chooses to self-host the model once Kimi open sources it on the 27th then this cost reduces even more love or hate these chinese models, open source is really levelling the field in a big way. per the information
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I'll give you a hint. They've 3x'd their buy back and burn. image from @venicestats
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If you are experienced with harnesses and agents you know how good and how important @AskVenice is. With Kimi K3 going open weight soon it’s going to show even more crazy growth. Microsoft is testing Kimi K3… Do you understand what that means? Open source AI is winning. OWN YOUR DATA. Long private inference base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf
there it is - microsoft will use kimi k3 to power their flagship copilot ai assistant saving up to 60% per token or $600M on every $1B spent on inference spend. if microsoft chooses to self-host the model once Kimi open sources it on the 27th then this cost reduces even more love or hate these chinese models, open source is really levelling the field in a big way. per the information
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It will be obvious in hindsight. It always is. Doesn’t mean it’s an easy road. $ASTS
This would wake up an entire civilization. All the new investors to this recent small IPO called "SpaceX" would go, "perhaps I should look into this small shitco that now has all 3 of the main US MNOs. $ASTS
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