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Dean argues outcome markets like HIP-4 function as cover venues where traders can hedge against protocol risks. He cites the April 19 Kelp DAO exploit that drained $292M from the rsETH bridge—roughly a fifth of circulating supply—as the largest DeFi exploit of 2024, illustrating why such hedging mechanisms matter for risk management in bridged assets.
Uniswap v4 Hooks transform AMM pools from fixed rules into programmable infrastructure, enabling pools to execute custom logic before and after swaps. 0xMedia highlights uPEG and Slonks as breakthrough examples: uPEG generates on-chain SVG unicorn images from swaps themselves, while Slonks uses a Hook as fee collector to fund buying and voiding NFTs tied to CryptoPunks, replacing opaque token taxes with pool-layer mechanics. The trade-off is that v4 Hooks eliminate safety by default—they can hide fees, enforce transfers, or contain malicious logic, requiring new market literacy to distinguish safe implementations from exploitative ones.
Mesky explains HIP-4 and BTC outcome markets on Hyperliquid as tools for individual traders to buy mispriced probabilities, positioning them as binary options without the casino dynamics. The guide frames outcome markets as practical instruments for trading specific probability outcomes rather than speculative gambling.
Nikshep argues NEAR is positioned as the coordination layer for the emerging agent economy, citing Anthropic's advances with Claude Opus 4.6 enabling autonomous agents to sustain long-horizon tasks and execute 100+ tool calls across teams of subagents—capabilities that require a blockchain to securely coordinate AI agents at scale.
A1 Research increased its exposure to Aerodrome, a DEX offering 100% revenue share to token holders. The firm highlights Aerodrome as a core holding in its Machines Money portfolio, positioning it as a key yield opportunity for investors seeking direct revenue participation from the protocol.
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Yiannis argues most commentary on Canton Network misses the fundamental point because observers are trying to understand it through the wrong lens rather than from first principles.
Pink Brains explains that Hyperliquid's HIP-4, which launched May 2nd with a daily BTC binary as its first mainnet market, functions as an options layer rather than a prediction market. The distinction matters for understanding the protocol's architecture and trading mechanics, though the full implications require examining how this positioning affects $HYPE's ecosystem development.
Bull pitch on NEAR at $1.28 / $1.67B mcap, ~94% off ATH. The setup nobody is pricing in — vesting fully completed Oct 12 2025 (no more cliff unlocks; the 4-year supply overhang is gone), inflation halved 5%→2.5% Oct 30 2025 via protocol upgrade v81, 70% of fees burn permanently (with sufficient activity NEAR is structurally net deflationary), House of Stake/veNEAR governance went live.
Founder asymmetry: Illia Polosukhin is one of the eight co-authors of Attention Is All You Need — the Transformer paper that powers GPT-4/Claude/Gemini/Llama. Co-founder Alex Skidanov was Engineer #1 at MemSQL, a two-time ICPC World Finals medalist, designed the only sharded distributed DB that worked at scale. The market is currently valuing their company at less than the seed-round valuation of half the AI agent startups in San Francisco.
Real thesis: agents can't use Visa. When autonomous agents replace humans as users, the entire payment stack breaks — weekend bank hours, KYC for every counterparty, days-to-settle, not programmable. NEAR has shipped more agent-native infrastructure than any L1 competitor:
Catalysts: Bitwise + Grayscale spot ETF filings (Grayscale to convert GTAO Trust on NYSE Arca with Coinbase Custody), NVIDIA Inception membership, Brave private-inference partnership, fee switch revenue.
Honest bear case: $117M TVL is small (RHEA Finance is concentration risk). Governance controversy — Chorus One opposed the inflation halving as forced through despite a failed initial governance vote. Memecoin overhang on AI/crypto narrative. Execution risk vs Solana's deeper liquidity and consumer DeFi. ETF filings ≠ approvals.
Asymmetry: at $1.67B with vesting done, halved inflation, fee burn, ETF filings in flight, $13B+ routed cross-chain volume, transformer co-author at the helm — downside bounded by L1 floor, upside multi-X if the agent thesis lands.
Translation + commentary on Bittensor founder Jacob Steeves's Tsinghua University talk. Cameron walks through Jacob's framing of "incentive computing" as the universal pattern behind both Bitcoin and AI. Five-step argument:
(1) One pattern underlies every powerful adaptive system: state · objective · feedback · adaptation · loop. AlexNet 2012 broke MNIST not by hand-coding what digits look like, but by letting the network self-adapt to a target. The same loop describes RL, genetic algorithms, slime molds finding shortest paths through mazes, river deltas, the structure of leaf veins.
(2) Bitcoin is the first production-scale implementation of this pattern — not as money, but as a self-adaptive computer that produces hashes. The numbers are absurd: 1000x the compute of America's six largest cloud providers combined, 10²¹ hashes/sec, 23GW continuous power (Thailand-scale). 700-9000x more efficient at producing hashes than centralized cloud — because it's borderless, always-on, autonomous, and permissionless. Bitcoin is the world's largest supercomputer, optimized purely for hash production.
(3) Incentive computing generalizes the pattern by replacing "reward = a number in a computer" with real money. ML's reward signal can't pay 200 countries' worth of contributors; Bitcoin's can — that's why the entire planet became a mining network. But hashes are useless outside Bitcoin. The question is whether the same mechanism can mint anything.
(4) Bittensor is the generic version — replace "miners produce hashes" with "miners produce any useful work": storage, compute, ML models, gradients, data, robotics. Validators score, network mints. PyTorch for incentive computing.
(5) Five proven examples already running on Bittensor:
dTAO (live since Feb 2025) makes the network self-referential — subnets compete in capital markets for emission allocation. The market itself decides which incentive mechanisms get the next round of TAO.
The deeper point: AI is being captured by a tiny number of closed labs (OpenAI, ~3K employees, you'll never own any of it, your data goes who knows where). Incentive computing distributes ownership and makes the rules visible. Anyone can enter, contribute, and own a piece — even if Bittensor isn't the project that wins, the shape of the AI economy will change because of this idea.
Tether Investments, XXI's majority shareholder, proposed merging Twenty One Capital (NYSE: XXI) with Jack Mallers' Strike, then with Raphael Zagury's Elektron Energy (~50 EH/s, ~5% of network hashrate, all-in <$60K/BTC). Combined entity: 43,514 BTC treasury, 50 EH/s mining, 100+ country financial-services distribution, $2.1B Tether-funded Bitcoin-backed lending facility. Mallers stays CEO, Zagury proposed as President. Announced at Bitcoin 2026 keynote — same slot Mallers used for the El Salvador legal-tender announcement in 2021.
Strategic read (Galaxy's): the pure-play DAT trade is dead. Most DATs (including Strategy at times) now trade ≤1.0x mNAV; XXI listed at $10 PIPE in Dec, has drifted lower. Controlling shareholders are converting treasury vehicles into operating companies that can generate cash flow and justify a multiple on something other than BTC-per-share growth. Mining + financial services are the two highest-cashflow Bitcoin-only verticals, so XXI is targeting the right surfaces first.
Bigger picture: this is Tether's onshoring vehicle into US public markets. Tether now controls 140K+ BTC, USDT circulation hit ~$189B, and most of that operating empire has been opaque, El Salvador-domiciled, outside US securities reach. Rolling Strike + Elektron into NYSE-listed XXI migrates significant pieces onshore into a regulated, audited, US-reporting structure. If executed, this is arguably the most strategically significant publicly-traded Bitcoin-only company outside Strategy — and unlike Strategy, it has real operating cash flow alongside the treasury. Governance complications: Mallers is on both sides of Strike, Tether on both sides of Elektron — special committee, fairness opinions, and majority-of-the-minority vote needed. Zagury is also a central figure in pending Swan/Tether litigation.
Mesky frames HIP-4 not as a Polymarket clone but as a missing payoff layer for Hyperliquid: bounded, dated, fully-collateralized outcome contracts that settle at a date or event with no leverage and no liquidation engine. Where spot trades ownership and perps trade direction, HIP-4 trades states of the world — turning event risk into a composable financial object on the same execution engine that already prices crypto.
The real bull case is not "capture prediction-market volume" (~$240B est. 2026, per Bernstein). It's that HIP-4 expands the addressable market into short-dated convexity and event hedging — analogous to 0DTE options, which now do ~59% of SPX volume. At a 7 bps base spot-taker fee on chargeable close/settle notional, $25–100B/mo of HIP-4 flow becomes one of the platform's most material revenue lines.
Strategic edge: Hyperliquid isn't bootstrapping a venue — it already has $183B/30d perp volume, $643M annualized revenue, and the maker base. HYPE captures value through (1) Assistance-Fund buyback/burn from incremental fees, (2) staking-collateral demand if HIP-4 deployers require staked HYPE like HIP-3 (500K HYPE), (3) staking discounts (up to 40%), and (4) USDH demand as the native unit of account for event risk.
Mesky's prescription: don't out-Polymarket Polymarket. Sequence rollout toward crypto-native, recurring, hedgeable templates (BTC weekly thresholds, Fed decision markets, token unlock outcomes) where market makers can build inventory — not viral one-offs. Repeatability beats virality.
Real risks: ambiguous resolution, regulatory perimeter (CFTC v Wisconsin, Brazil's blanket ban), insider trading (DOJ Polymarket case, Kalshi candidate suspensions), long-tail spam, and perp cannibalization. Mainnet HIP-4 spec/fees/deployer rules still aren't formalized in the Hyperliquid GitBook.
Victor opens a $CARDS allocation on the thesis that Collector Crypt — a Solana protocol tokenizing PSA/PWC-graded trading cards as NFTs — is structurally mispriced at a $23M circulating cap on $584M annualized revenue. Q1'26 gross revenue: $146M. Top-10 Solana app by revenue, sitting in the same band as Phantom and Jupiter, but the only one capturing demand from outside crypto (eBay/conventions/local card shops, a $25B global TCG+sports market growing to $43B by 2031). Existing rails take 10–30% per transaction; CC charges <2% with instant settlement.
Demand signals: weekly volume scaled 7–8x in 15 months during a crypto drawdown. Gacha machines were stocked only 29% of hours one recent week — the platform is supply-constrained, not demand-constrained (operationally easier to fix than user acquisition). Whale concentration is meaningful (top 3.3% of users → 81.5% of revenue, 58 wallets >$1M lifetime spend) but less concentrated than Hyperliquid at the same stage. Pyramid critique fails: 10K+ small users prove funnel reach, 1.8K mid-tier wallets are tomorrow's whales.
Catalysts: $1,000 Pokémon packs are now the largest weekly contributor (zero in late '25), $250 One Piece launched in early '26 already top-3, $100 Sports just live, fiat on-ramp (cards/Apple Pay/bank, USDC settled via Coinflow) just shipped — opening the much larger pool of card collectors who'll never own crypto. Marketplace V2 ships May. Disclosure: Victor is starting an allocation.
Bull thesis on Bittensor / TAO at ~$3B mcap. Frame: "TAO 2026 = ETH 2016 = BTC 2013."
Core mechanic: Bitcoin paid miners to produce hashes that secure the network but are otherwise worthless. Bittensor pays miners — data scientists, ML engineers, AI researchers — to produce useful AI work. Validators score outputs via Yuma Consensus; TAO flows to whoever produces the most valuable work. Network is organized into 128+ subnets, each focused on a specific task (trading signals, LLM training, computer vision, code generation, financial forecasting). Some subnets generating millions in revenue, with Intel and PwC partnerships.
Tokenomics mirror Bitcoin: 21M fixed supply, no pre-mine, no VC allocation. First halving Dec 14 2025. BTC price went 83x in the year after its first halving in 2012.
Smart-money signals: Barry Silbert / DCG launched Yuma Group dedicated to accelerating Bittensor. Grayscale filed Form S-1 to convert GTAO Trust into a spot ETF. Stillcore Capital (Mark Jeffrey, Jason Calacanis, Rob Greer) targeting $1T mcap by 2030, aiming to own 1% of all TAO. Unsupervised Capital projects $4,800 by Dec 2027 (19x), bull case $10,800 — and that's before Covenant-72B, Jensen mentioning Bittensor, and PwC's formal alliance.
Subnet-level conviction picks:
Frame: Bitcoin = money. Ethereum = apps. TAO = intelligence. The gap between what TAO has built and how it's currently priced is one of the most asymmetric opportunities in crypto.
Spencer reframes the buyback/distribution debate. In traditional venture, returning capital signals "out of growth ideas." In crypto the market rewards the opposite — Aave just passed full-revenue distribution, Hyperliquid is paying $65M/month, $1B+ in industry buybacks in 2025.
Four reasons the market is right to flip the framing:
(1) Protocols don't have the reinvestment levers companies do. A startup reinvests by hiring, acquiring, expanding into new markets — DAOs governance can't ship the focused, opinionated pivots that take Aave or Uniswap into multi-product platforms. The things protocols can spend on (liquidity incentives, grants programs) have delivered limited ROI.
(2) Token holders have lived in economic limbo. Regulatory ambiguity + governance immaturity meant the holder's economic interest was never well-defined. Buybacks/fee distribution stake a flag that the token IS tied to real economic value — markets like clarity, and participants are rewarding projects that offer a concrete answer today over a theoretical optimum tomorrow.
(3) Protocols reach economic maturity faster. Uniswap, Aave, and Hyperliquid are already processing billions to trillions in volume on live infrastructure. The crossover point where distribution beats retention may arrive much sooner than traditional investors expect.
(4) Decentralization is genuine but narrows reinvestment options. Most successful protocols are meaningfully decentralized — that has real benefits but means product decisions run through governance processes that aren't built for speed.
None of it permanent. The market rewards buybacks today because we don't have strong examples of the alternative working. Maybe protocols eventually figure out how to compound cash flows into multi-product platforms. Or maybe tokens are just something different — the first asset with direct exposure to a single, high-margin piece of global financial infrastructure.
Magic introduces BAM's Maker Priority Plugin, enabling sub-slot deterministic execution for onchain market-making on Solana. The plugin addresses a fundamental limitation in current Solana market-making infrastructure that isn't about AMM design or throughput constraints. Magic positions this as solving a subtle but critical gap in how onchain market-makers can operate.
Arrakis follow-up to its earlier "Who's trading on HIP-3?" piece, this time using deterministic Hyperliquid order-metadata tags (TIF, builder code, fill flag, hold time) to mechanically classify every wallet across the four Trade.xyz markets (xyz:CL, SILVER, TSLA, XYZ100) over March 10–31, 2026: 79,622 wallets, $51.95B total volume.
Key finding: the sybil layer inflated wallet count, not dollar throughput. The "Airdrop Farmer" bucket holds 35,091 wallets (44% of users) but generated only $0.40B (0.77% of volume). 99.9% of those farmer wallets trace back to a single Polymarket operator ("Themino") running 70 chains of 34,553 wallets through a baton-pass farm — using HL's $1 internalTransfer primitive, each wallet runs a 5-step sequence in ~26 seconds. Total fees Themino paid: $34,510.
Real volume comes from identifiable books. Market makers: 363 wallets (0.46%) carried 63% of volume ($32.75B). The #2 MM ("Powell") is a Polymarket user running multi-market quoting. Jump Crypto ($3.15B), Selini Capital ($1.03B across 3 wallets — two MM, one HFT), Wintermute ($230M) all visible. Builders split into algorithmic (Tread.fi, Origami — replaced wash-trading with retail market-making, now populate top-of-book on nights/weekends when traditional MMs aren't quoting), wallet-integrated (Phantom, MetaMask, Rabby — $1–3K median per wallet), and apps (Insilico, hypurrdash, etc — fewer wallets, higher per-wallet volume). Retail: 22% of top-400 retail volume ($1.63B) is verifiable Polymarket users. Total Polymarket footprint across MM+SAT+retail on Trade.xyz: ~$6B. Kraken dominates CEX-funded retail; Hyperunit + deBridge dominate bridge-funded.
Conclusion: layered answer to the sybil debate. Yes there's a sybil layer (predictable pre-TGE). No evidence of separate high-volume wash-trading. Real volume runs through identifiable professional desks + a Polymarket-overlapping retail base.
Stacy argues most of the $310 billion stablecoin market earns no yield, but real-world yield flowing onchain is reversing this. As Treasury bill interest and other RWA yields reach crypto, Pendle becomes the natural destination because its yield-stripping mechanics let investors isolate and trade different maturity profiles and coupon streams that traditional stablecoin holders previously couldn't access.
Nay notes that StablecoinX, Ethena's treasury vehicle, accumulated 20.3% of ENA supply in under a year through a structure where investors provided cash and ENA across two PIPE rounds, raising questions about the buyback mechanism's execution and impact.
Anthony argues fixed-rate borrowing requires matching fixed-rate lending demand, but most onchain capital pursues yield instead. Secondary bond markets lack reliability for vaults to price positions, and vault conversion rates create timing mismatches where early exiters socialize losses onto remaining participants.
Baheet argues Sui's object-centric architecture, Move language, 390ms finality via Mysticeti, native DeepBook v3 CLOB, and March 2026-launched USDsui stablecoin create an underutilized technical foundation for prediction markets as the category scaled to $20-27 billion monthly volumes across Polymarket and Kalshi in 2026. While Polymarket's VP of Engineering acknowledged infrastructure strain from rapid traction—citing on-chain latency, transaction cancellations, and CLOB stability issues—Sui remains absent from the dominant prediction market apps, presenting a first-mover opportunity for builders prioritizing high-frequency scalar markets and institutional settlement over ecosystem maturity.