Illia Polosukhin On The Future Of AI, Crypto, And How Near Is Going To Win
Illia Polosukhin On The Future Of AI, Crypto, And How Near Is Going To Win
14 hours ago•1000x•@1000xnetwork
YouTube50 min 6 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

NEAR is the only asset with a potential investment thesis here, but treat it as a watchlist opportunity until NEAR Intents’ reported $4 billion monthly volume is shown to generate durable fees and meaningful, verifiable token purchases. Track NEAR’s revenue dashboard, buybacks, NEAR.com’s share of volume, and growth in perps and earn products; cross-chain security remains a material risk after the reported $3.8 million exploit. The discussion provides no actionable buy case, price target, or timeframe for BTC, ZEC, SOL, ETH, TRX, USDT, or MORPHO.

Detailed Analysis

NEAR (NEAR)

  • The founder described NEAR as a vertically integrated blockchain and fintech platform, with chain abstraction intended to let users complete an outcome—such as swapping or transferring assets across chains—without manually handling bridges, gas, or network changes.
  • NEAR Intents reportedly processes about $4 billion in monthly volume. The founder said NEAR takes a variable fee on some activity and converts the proceeds into NEAR, creating potential buy pressure. He did not provide a cumulative buyback figure; he pointed to a public revenue dashboard.
    • The NEAR.com product accounts for roughly 10–20% of that volume, depending on the week, according to the founder.
    • NEAR.com is also adding swaps, perps, earn products, and support for assets across multiple networks.
  • The founder said revenue and take rates have grown as the platform adds products. These are company-reported figures and claims, not independently verified in the discussion.
  • Risk: A cross-chain link provided by an ecosystem partner was exploited for $3.8 million after an attacker manipulated rounding. The team paused the link, patched it, and said all funds were recovered. The founder said the incident prompted plans to expand formal verification and monitoring.

Takeaways

  • The investment case presented for NEAR depends on whether NEAR Intents and NEAR.com can sustain usage and turn that activity into recurring fees and NEAR purchases.
  • Track the revenue dashboard, actual NEAR buybacks, NEAR.com’s share of volume, and growth in perps and earn products. The transcript did not establish how much of reported volume produces meaningful token demand.
  • Treat cross-chain security as a key risk: the discussed exploit involved a partner integration, and the founder said further verification work is planned.

AI, Blockchain, and Agentic Commerce

  • The founder’s thesis is that AI agents could become a user-facing layer for financial and business activity, while blockchains provide transaction rails, escrow, and markets.
  • He argued that blockchain-based verification could help users check which model and software handled an AI request. He also described decentralized GPU access and agent-to-agent commerce as potential opportunities.
  • The founder characterized the potential market for agentic commerce as tens of trillions of dollars annually, giving varying estimates in the discussion. This was a broad vision, not a specific forecast or demonstrated market size.
  • NEAR AI reportedly provides model provenance and private inference infrastructure. The founder said Venice and Brave use NEAR infrastructure for some AI functionality.
  • Risks: The discussion highlighted that an AI service could return fake or altered outputs, and that malicious instructions or web content could compromise an agent. Giving an agent unrestricted access to a private key could expose funds. The founder said NEAR is developing policy controls and approval steps for its planned financial agent.

Takeaways

  • This is a high-potential but early-stage theme in the discussion. For investment research, distinguish working products and paying customers from long-term projections about autonomous commerce.
  • Watch for evidence of repeat usage, commercial partnerships, and revenue—not just agent demonstrations or broad market-size claims.
  • Any financial agent should have clear spending limits and approval controls; the risks described in the podcast make unrestricted access to funds particularly concerning.

Bitcoin (BTC), Zcash (ZEC), Solana (SOL), Ethereum (ETH), Tron (TRX), Base, and USDT

  • These assets and networks were mentioned as examples of what users may hold, transfer, or use through chain-abstracted products such as NEAR.com.
  • The founder described users being able to move assets across networks—for example, transferring USDT between Telegram-related use cases and Tron—without managing each network’s steps themselves.
  • Zcash was also used as an example of an asset a user might want delivered to a shielded address. No comparative investment case, price outlook, or recommendation was given for these assets.

Takeaways

  • The discussion supports a potential investment theme around easier cross-chain access, but it does not establish that any of these individual assets will benefit or outperform.
  • Consider whether a platform’s cross-chain activity translates into durable revenue and secure execution before treating supported assets as investment opportunities.

Morpho (MORPHO) and Yield Products

  • A user seeking a return from a Morpho vault was given as an example of an intent that a solver could execute across available services.
  • NEAR.com was described as offering earn products, but the podcast did not specify yields, vault risks, or a recommendation to invest in Morpho or any particular strategy.

Takeaways

  • Treat the Morpho reference as an example of the product’s functionality, not an endorsement of a specific vault.
  • Before considering any yield product, review its underlying strategy and risks; those details were not discussed in the transcript.

Stocks and Equities

  • The founder said NEAR.com allows users to hold stocks and described equities as part of the product’s broader financial offering.
  • No publicly traded company, stock ticker, price target, or specific equity investment was discussed.

Takeaways

  • The mention indicates a product feature, not an investment thesis about any stock. The transcript provides no basis for evaluating specific equities.

Other Protocol Mentions: Avalanche, LayerZero, Loom, and BNB Chain

  • Avalanche and LayerZero came up in technical discussions of consensus and cross-chain infrastructure; the guest did not make an investment recommendation about either.
  • Loom was mentioned as a protocol whose exit mechanism the NEAR team said it identified as problematic; the guest also said Loom no longer exists.
  • BNB Chain (BSC) was the network involved in the partner-link exploit described above. The incident concerned a cross-chain integration, not a stated investment view on BNB.

Takeaways

  • These references are technical or incident-related, not buy or sell signals.
  • The BNB Chain example reinforces the need to assess the security of cross-chain integrations and partners, not just the underlying networks.
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Video Description
Avi sits down with Illia Polosukhin at Token2049 in Singapore — co-author of “Attention Is All You Need,” the paper every modern AI model is built on, and co-founder of NEAR. Illia starts with his grandparents’ Sberbank savings book going worthless overnight and bread going up a hundredfold in a year in post-Soviet Ukraine, then walks through how transformers actually work: why recurrent models were too slow, what the attention mechanism really does, and why the aliens in Arrival are the right analogy. He left Google while the paper was being written to build a company that would let computers write code. What stopped him wasn’t the compute — it was that he couldn’t pay the students labeling his training data. That detour became NEAR. From there: the consensus protocols they broke on camera, a standing bounty for fixing Solana, how NEAR went from blockchain to fintech app running four billion a month, why Illia says you should not give your AI agent a private key, the twenty trillion dollar agent commerce thesis, and the full story of the $3.8M exploit — including how they found the attacker, got all the money back, and got an apology on chain. -- Follow Arthur: https://x.com/CryptoHayes Follow Avi: https://x.com/AviFelman Follow Jonah: https://x.com/jvb_xyz Follow 1000x: https://x.com/1000xPod Join the 1000x Telegram: https://t.me/thousandxpod Try the 1000x Terminal: https://1000x.money -- Timestamps: 00:00 Coming Up on 1000x... 01:01 Ukraine, Hyperinflation, And Science Fiction 02:59 “A Machine Should Write This Code” 07:30 Joining Google, And Inventing The Transformer 16:07 Leaving Google, And Stumbling Into Crypto 20:35 The Protocols They Broke On A Whiteboard 23:29 Chain Abstraction, And Building NEAR.com 33:15 What AI x Blockchain Actually Means 39:42 The $3.8M Exploit, And The Apology -- Disclaimer: Nothing said on 1000x is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Avi, Jonah and our guests may hold positions in the companies, funds, or projects discussed.
About 1000x
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By @1000xnetwork

1000x is a show about new age finance, hosted by Avi Felman and Jonah Van Bourg two former hedge fund investors. We go everywhere the money is moving: crypto, macro, equities, AI, and the alternative assets most people only hear about after the trade is gone. The difference is that we've actually sat on trading desks and run real risk, so this isn't theory or hype. It's two people with genuine markets experience thinking out loud, taking real positions, and helping you understand the landscape well enough to navigate it yourself. New episodes Wednesdays and Fridays.