2026-04-22 Quarta

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Based on a16z's Annual Predictions, Which Crypto Projects Are Worth Watching?

Based on a16z's 2026 predictions, several key crypto sectors and projects are worth watching. 1. **Payments & Stablecoins**: Stablecoins are becoming the internet's settlement layer. Key projects include Circle (USDC) for regulatory compliance, m0 for zero-fee USDC issuance, Ether_fi and Plasma as crypto-native neobanks, and x402 for agent-native programmable payments. 2. **RWA & On-Chain Credit**: The focus shifts from tokenization to native on-chain credit origination for efficiency. Projects to watch: Centrifuge, Blackrock's BUIDL, Maple, Plume, Pendle, Ondo, and Backed. 3. **AI Agents & Payments**: As autonomous AI agents transact, payments must become internet-native, instant, and programmable. Key players: Catena (KYA standards), Nevermined (data markets), KiteAI, ASI, EigenCloud, Fetch, and x402 implementations. 4. **Privacy**: Privacy creates user lock-in and becomes a key moat. Projects: Aztec, Nillion, Arcium, Aleo, Walrus/Seal (Sui), Payy_link, Zcash, and Monero. 5. **Security**: The shift from "code is law" to "spec is law" requires runtime enforcement and continuous monitoring. Leaders: OpenZeppelin, Trailofbits, SpearbitDAO, Cyfrin, and Immunefi. 6. **Prediction Markets**: Evolving from niche betting to real-time information infrastructure. Top platforms: Polymarket, Kalshi, FractionAI, Opinion, and Myriad Markets. 7. **zkVMs & Verifiable Computation**: zkVMs are making verifiable computation a viable systems primitive. Key projects: RiscZero, Succinct, Brevis_zk, Axiom_xyz, and ZKML stacks. 8. **On-Chain Wealth Management**: Active, personalized portfolio management becomes automated and ubiquitous. Watch: Veda, Upshift, Midas, Base (Coinbase), Morpho, and Infinit.

marsbit01/04 11:38

Based on a16z's Annual Predictions, Which Crypto Projects Are Worth Watching?

marsbit01/04 11:38

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

An experiment tested whether AI (Gemini 2.5 Pro and Grok 4 Fast) could profitably predict outcomes on crypto prediction markets, pitting it against successful human traders. The AIs were given event titles, descriptions, and answer choices (Yes/No), with instructions to use web searches for news and expert analysis while ignoring market data. They were to reason logically and output only a final answer. After 21 settled predictions, Grok achieved the highest win rate at 75%, outperforming the humans (66.7%) and Gemini (52.4%). However, analysis revealed significant flaws in the AI's reasoning: * **Temporal Confusion:** Gemini sometimes misjudged the current date, leading to erroneous conclusions. * **Lack of Depth:** Grok often relied on immediate, surface-level information instead of identifying deeper patterns or historical context. * **Over-reliance on Assumption:** Gemini occasionally based predictions on subjective common-sense assumptions rather than the specific evidence found. * **Misinterpreting Conditions:** Both AIs sometimes failed to correctly parse the precise settlement criteria for a market, leading to logical errors despite having the correct information. The conclusion is that while Grok's win rate was impressive, its underlying reasoning process is often flawed and requires significant refinement to be reliably profitable.

Odaily星球日报01/04 10:54

AI Prediction Record: Want to Make Money in Prediction Markets with AI? But It Might Not Even Have Read the Question Clearly

Odaily星球日报01/04 10:54

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