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Buzz is not a slack killer. It’s much bigger. It’s the first proper multiplayer agent harness. The network effects of who wins at that layer will decide where value accrues as models commoditize. Very impressed @jack
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Our Season 1: Ignite is officially live! Points have begun accruing on Monday, 20 July 2026 at 00:00 UTC. Points are distributed weekly, with the first distribution at 14:00 UTC on Tuesday, 28 July 2026. 200k points will be allocated per weekly distribution.
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The story of AI in the next few years is going to be compute: an essay on the future of AI. K3 in 2 days is already #10# on OpenRouter with ~140B tok/day, and it’s infra is crumbling. Throughput is down from 30tok/s to 13tok/s, E2E latency is up to 72s and time to first token is >20s! It would cost a minimum of $500k to buy the 8 B300s it would take to serve even quantized Kimi K3 and ~$4M for the more recommended GB300 NVL72 rack. I don’t think Moonshot has the compute available to scale to their demand! In fact, even the US based inference providers will likely not be able to scale capacity as much as they’d like even if they were to host it: a 2.8T model is no joke. GPU providers (neoclouds etc) are doing 3yr and I recently hear 5yr commits with an ungodly 30% down, and customers are chomping it up. Prices continue to go to the moon. The two big labs, hyperscaler clouds, Grok and Meta have compute deals locked in prior, and the rest are fighting for scraps. Tier 1 neoclouds (coreweave/nebius etc) are rumored to not even small “smaller” customers. Meta is the biggest wildcard here. With ~7GW of compute by eoy 2026 and no clear big model ties, they either get to frontier on their own or can host the most Kimi K3 capacity (unless they sell it to the labs). Even though the price of models has fallen over time, it’s worth noting that the price of frontier has not. 3yrs ago, GPT-4 released at $60/M, o1 at $60/M, Opus 4 at $75/M, GPT5 at $10/M, Fable at $50/M and now Sol at $30/M and K3 at $15/M. Even if you consider K3 frontier, that’s only a 4-5x flux in 3yrs. In that time, frontier demand has increased at least 3+ ooms and frontier intelligence performance has gone 32x at least by task time by METR. Essentially, so long as a) the demand for frontier intelligence continues to grow to near infinity, b) the frontier continues to grow in performance, even as c) if the price of frontier declines a little, the value accrued to frontier grows significantly! And there’s a tremendous bull case for those who have locked up compute if you’re bitter lesson pilled and believe larger models will always be smarter models.
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Even the fastest AI agents need fresh data. VeloDB helps enterprises unify analytics, search, and AI retrieval, giving agents better context to act on. Learn how IMDA Accreditation supports firms like VeloDB:
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Is crypto losing to AI? @MikeDudas joined the livestream to discuss where crypto is actually heading, why value-accruing tokens matter, and why AI isn't replacing crypto - it's creating new opportunities for it 00:40 How Mike raised a 3rd fund in one of the toughest markets 02:25 Dumbest criticism DePIN projects get 05:21 Underrated crypto consumer products that more people should know about 07:21 Are prediction markets just another trend? 11:06 Is crypto losing to AI? 14:29 Most underrated founder right now 16:15 Is crypto really just fintech? 17:36 What will trigger the next major market turn 21:47 Crypto investments need a new structure? 25:51 Should crypto startups worry about big companies copying them? 28:01 Can @Pumpfun outgrow memecoins and become the default token launch platform? This interview features: - @MikeDudas, managing partner at @6thManVentures - @miaferrariii, co-founder of @mad__app and @MadSocietyTV
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Debate over ABA law school accreditation intensifies as states push changes
Ghana defeated Panama 1-0 in their opening World Cup match, sending fans into a frenzy in Ghana's capital, Accra. 'I'm very proud, I am a Ghanaian and trust me we are going to make it,' one supporter said, with a match against England next up on June 23
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Bitcoin has already won as Digital Capital. The next wave is Digital Credit, Digital Money, Digital Yield, and Bitcoin-backed capital markets — products that can bring trillions of dollars of traditional credit and money market capital onto Bitcoin. My interview with @Cointelegraph at @BTCPrague. 00:57 — Bitcoin in a drawdown: five major pullbacks in six years, stronger fundamentals, and rising dominance 02:23 — Digital Credit: from zero to an $11B+ asset class in 12 months 03:35 — Digital Money: bitcoin-backed yieldcoins and the path from 40 vol to 0 vol 04:31 — The opportunity for 8% yield in dollars, euros, yen, pounds, and francs 06:02 — $300T of credit, $30–50T of money markets, and the $10T opportunity for Bitcoin 07:19 — Why Bitcoin is winning economically, technically, and ethically 08:26 — Quantum computing, FUD, and why bear markets amplify Bitcoin debates 10:37 — AI capital rotation, Bitcoin’s current drawdown, and the path to recovery 11:36 — Six years of Strategy: why I would have moved faster into Digital Credit 12:22 — The ideal Bitcoin Treasury Company: common equity plus STRC-style Digital Credit 14:35 — The 32 BTC sale, the $100M bitcoin buyback, and why capital must back credit 17:02 — Defending the equity, credit, and bitcoin-backed capital structure 19:03 — The tradeoff: buy 200,000 BTC and sell 10,000 BTC — or buy and sell zero 20:15 — “Never sell,” Twitter trolls, and Strategy’s fiduciary obligations 22:06 — Bitcoin per share, long-term accretion, and accumulating through bull and bear markets 22:34 — $21B of equity raised in 16 weeks and ~$10B of bitcoin acquired this year 24:18 — The Strategic Bitcoin Reserve, US leadership, and supportive regulation 27:18 — Digital Credit, bank credit, and Digital Money bringing trillions onto Bitcoin 28:01 — Why Bitcoin can grow organically without central bank support
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I think it’s time to revisit the accredited investor laws in the US. Companies are staying private longer, where only accredited investors (aka rich people!) can invest. Retail investors can only come in after IPO, when much of the upside has already been captured. These rules were created with the best of intentions, to protect regular people from scams - a noble idea. Unfortunately, in practice they've often made it illegal to get richer, unless you're already rich. A regressive tax! We have to judge policies based on their outcomes, not on their intentions. These are two possible routes I see: 1) Replace the rule with something merit-based, like a financial literacy test. Pass it and you're accredited. Having a qualification based on competency rather than your bank balance or income seems far more fair. 2) Remove the rule entirely. Let consenting adults assess their own risk. Disclosure requirements stay and fraud enforcement stays to punish bad actors.
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Today on MCG: @ColbySaysHi | @prism_lp | $PRISM $PRISM is the first token where holding is providing liquidity. Each whole $PRISM you hold auto-mints one Prism NFT (a 1/5000 share of the same Uniswap v4 LP position) INSANE TEK Highlights from our convo: 03:18 - Uniswap v4 launched with a hooks whitelist, hooks didn't take off until UniPet (a viral unicorn NFT mint), then a Prism dev took it further 04:50 - How Prism works 05:38 - Full-range concentrated liquidity means fees accrue regardless of price/market cap 06:25 - Token unit economics 08:00 - Spectrum index tokens 14:32 - Colby's own product 15:00 - 10% of all Spectrum index fees 19:24 - Article release: "Retail is right to hate crypto" 22:18 - Why burn vs distribute 27:30 - PMF 30:00 - Spectrum V2 35:00 - @Uniswap team has reached out to learn how hooks are being used in the wild
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