DeFi · X 热门 · 2026-10-09 11:18 UTC

# DeFi — X 热门讨论 (2026-10-09 11:18 UTC)

## @MaisonQuantAI (Maison Quant) · 10-09 10:39 · ♥223 ↻5 💬13 Access to unified liquidity across 29 ecosystems turns Sui from an isolated high-TPS platform into a full-fledged settlement hub.

The ability to instantly transfer native USDC from EVM networks and Solana directly into Sui's object model creates ideal conditions for capital flow into DeFi and payment protocols.

What will prove more effective in attracting capital — fragmented L2 networks with custom bridges or alt-L1s with direct connectivity via Circle CCTP? > 引用 @SuiNetwork: CCTP V2 is now live on Sui. Native USDC can now move between Sui and 29 other supported blockchains.

Burned on the source chain, minted on Sui.

Start building payments and treasury products on Sui without designing around a bridge. https://t.co/CZOdgDmfEN https://x.com/MaisonQuantAI/status/2108507670953001164

## @ChemistDeFi (Chemist 🧪) · 10-09 07:20 · ♥134 ↻17 💬61 Q3 2026 was a price quarter, not a capital quarter.

$BTC did +42.7%, its best Q3 since 2017. $ETH did +70.8%. On the surface, crypto is back.

But look at the bid. $BTC spot ETFs took in $6.34B this quarter, less than the $7.8B of Q3 2025. Cumulative flows are still ~$5B under last October's peak.

Onchain says the same thing. DeFi TVL went from $69.2B to $95.4B, +38%. Sounds great until you remember $ETH did +71% in the same window.

Most of that is mark-to-market, not new deposits. The cleanest tell is stablecoins: $309.6B to $311.6B, +0.7% in a quarter where $BTC ran 43%.

No new dollars came onchain.

What did grow is usage. DEX volume +13% to $722B, protocol fees +15% to $5.88B. Tokenized RWAs +23% to $38.6B, imo the one bucket where fresh capital actually showed up.

Perps went the other way. Perp DEX volume fell 11% to $1.62T.

@HyperliquidX grew its share from 34.2% to 37.3% and still earned less: ~$185M in fees vs ~$202M in Q2 and $457M a year ago. A bigger slice of a shrinking pie doesn't fund the buyback.

Security is the part I'd watch. Hacks hit $1.25B, ~3.9x Q3 2025.

But strip out CEX and custody incidents and onchain losses fell 13% QoQ to $701M. The weak point moved from contracts to keys.

So: price ran, usage grew, capital mostly stayed home.

Q4 answers one question. Does the money follow the price, or does the price come back to the money?

Of course, these are quarter-end snapshots and trackers disagree by a few %. https://x.com/ChemistDeFi/status/2108457511946743939

## @WorldOfMercek (Mercek) · 10-09 10:13 · ♥114 ↻6 💬27 AI compute is becoming a productive asset class, but the financial infrastructure to trade, hedge, and finance it remains underdeveloped.

The opportunity is to turn physical compute capacity into transferable claims and financeable collateral.

Here's how this market could evolve.

— — —

➤ Compute is becoming a financial asset class

Hundreds of billions of dollars in GPUs already generate cash flows, yet markets to price and finance these assets remain underdeveloped.

GPUs retain residual value beyond initial contracts, creating opportunities to finance inventory and hedge utilization risk.

— — —

➤ Why now? Three structural changes

• Older GPUs retain value through inference, fine-tuning, and enterprise workloads.

• Open-weight models and sovereign AI are fragmenting demand across buyers with different requirements.

• Model routing exposes pricing differences across providers, improving price discovery.

These shifts create demand for standardized contracts, hedging, and asset-backed financing.

— — —

➤ GPUs are not commodities yet

Compute capacity varies by hardware configuration, geography, networking, uptime, and contract duration.

• Hardware: PCIe vs. SXM, memory, and interconnects.

• Availability: A few hours differs from a guaranteed 90-day reservation.

• Pricing: Similar GPUs can trade between $2 and $15 per GPU-hour.

Workload migration costs further complicate substitution, making standardized delivery contracts essential.

— — —

➤ The real problem is duration mismatch

Buyers must choose between uncertain spot availability and long-term reservations that risk paying for unused capacity.

• Spot markets: Flexible access, but prices spike and capacity may disappear during demand surges.

• Long-term reservations: Predictable access, but unused GPUs drain capital.

Hyperscalers absorb these risks across large portfolios. Smaller neoclouds have fewer options, creating demand for transferable capacity commitments.

— — —

➤ Why cash-settled futures alone won't solve it

GPU futures face basis risk when benchmarks diverge from actual procurement costs across hardware, geography, and contract duration.

• Basis risk: An H100 index may not hedge a 90-day B200 reservation in Europe.

• Capital inefficiency: Margin requirements strain already-leveraged compute providers.

• Weak convergence: Speculation cannot guarantee access to deliverable capacity.

Physical delivery must come first. It addresses availability risk, while derivatives can hedge price risk once reliable benchmarks emerge.

— — —

➤ From principal desk to compute exchange

The path starts with a principal desk intermediating physical transactions and identifying repeatable capacity configurations.

Principal desk → Standardized capacity receipts → Exchange with RFQs, order books, forwards, and options → Compute prime broker managing collateral and credit.

An eight-GPU H100 SXM node reserved for 30 days could become a transferable claim, enabling secondary trading and financing.

— — —

➤ Financial primitives unlock the compute market

Once physical delivery is standardized, financial products can improve capital efficiency and transfer risk.

• Transferable forwards and capacity options: Lock in future capacity or secure access during demand spikes.

• Portfolio margin: Offset exposures across GPU generations, inventory, and contracts.

• RFQs, order books, and verification: Improve price discovery and delivery confidence.

• Inventory financing: Borrow against certified capacity claims.

These products could reduce idle capacity, improve risk management, and lower financing costs.

— — —

➤ Market signals and existing attempts

Existing contracts and pricing differences show why compute needs better financial infrastructure.

• $2.6B: CoreWeave credit facility backed by customer contracts and GPU-related underwriting.

• 2029: Reported end year for an A100 capacity contract.

• $0.10 to $1+: Llama 3.3 70B input pricing per million tokens across providers.

• $2 to $15 per GPU-hour: Illustrative pricing spread across markets.

Architect, CME, ICE, and others are exploring compute pricing. Reliable physical markets remain essential for effective hedging.

— — —

The opportunity is to turn verified compute capacity into transferable claims and financeable collateral.

A compute prime broker could aggregate fragmented exposures, improve capital efficiency, and connect productive hardware to credit markets.

DeFi rails could coordinate global capital, but enforceable claims, reliable delivery, and sound risk management will determine whether this market scales. https://x.com/WorldOfMercek/status/2108501006946385967

## @0x0Nova (Nova) · 10-09 09:45 · ♥81 ↻6 💬59 Ever since zkTLS technology started gaining traction, the biggest question has always been, "What is its actual real-world use case?"

This is precisely it.

The integration between @primus_labs and @Cr3dentials addresses one of finance's biggest blind spots head-on.

Today, millions of merchants and gig workers generating steady income on Shopify, Stripe, Upwork or YouTube remain excluded from credit simply because their platform-based revenue cannot be reliably verified by traditional institutions.

@primus_labs zkTLS steps in right here by operating against live Web2 APIs to convert real-time business and account data (revenue, balances, analytics) into cryptographic proofs all without exposing any sensitive personal data.

Cr3dentials then uses these proofs to issue verifiable credentials.

Ultimately, we are shifting from trust by assertion to trust by mathematical and cryptographic proof.

A massive infrastructure milestone for the future of RWA and the Web2 to Web3 bridge.

#zkTLS #Web3 #DeFi https://x.com/0x0Nova/status/2108494041893540190

## @lil_defi (Defi) · 10-09 09:33 · ♥72 ↻2 💬42 Good morning ☀️

The quality of your questions determines the depth of your understanding. https://t.co/WuCpvjb9QY https://x.com/lil_defi/status/2108491111866237043

## @kimsunmi2620 (김선미) · 10-09 05:00 · ♥80 ↻10 💬2 🌱 조금씩 그림이 완성되어 가는 느낌입니다.

오랫동안 Pi Network를 지켜보면서 제가 가장 기대했던 구조는 단순히 “Pi 가격이 오르는 것”이 아니었습니다.

제가 바라던 건,

Pi 안에서 먼저 실제 경제가 만들어지고 그 경제를 중심으로 외부 금융이 연결되는 구조였습니다.

그리고 최근 Pi Core Team의 스테이블코인 발표를 보면서 그 방향이 조금씩 선명해지는 것 같습니다.

Pi는 이번 글에서 스테이블코인을 단순히 추가하는 것이 아니라,

🔹 PI는 네트워크 전반의 주요 암호자산으로 남아야 하고 🔹 스테이블코인은 PI를 대체하는 것이 아니라 보완적인 역할을 해야 하며 🔹 가격 안정성이 필요한 결제·회계·경제활동을 지원하고 🔹 외부 인프라에 의존하던 활동을 Pi 생태계 안으로 가져오는 데 활용할 수 있다고 설명했습니다.

그리고 그 연결점으로 OUSD와의 파트너십도 공식적으로 언급했습니다.

제가 그동안 상상했던 구조는 이런 모습이었습니다.

🌐 외부 금융·은행·RWA ↕ 💵 OUSD 같은 안정적 결제 레일 ↕ 🟣 PI — Pi 생태계의 중심 자산 ↕ 🏨 숙박 · 🎮 게임 · 🛍️ 커머스 · 🎨 콘텐츠 · 🤖 AI · 📱 dApp

중요한 건 OUSD가 PI를 밀어내는 구조가 아니라는 것입니다.

오히려 PI의 가격 변동성이 부담되는 영역에서는 스테이블코인이 역할을 하고, PI는 앱·서비스·유동성·생태계 참여라는 고유한 역할을 계속 유지하는 구조를 만들려는 것으로 보입니다.

여기에 이미 준비되고 있는

✅ Pi KYC ✅ PiVerify ✅ Pi Sign-in ✅ Pi Payments ✅ 구독 ✅ Launchpad ✅ DEX / AMM ✅ TOKEN/PI 유동성 ✅ Node / AI Compute ✅ Open Network

까지 하나씩 연결하면 제가 오래전부터 생각했던 그림이 조금씩 보입니다.

특히 마음에 드는 것은 외부의 큰 자산을 가져와 Pi의 가치를 억지로 만드는 방향이 아니라는 점입니다.

제가 바라는 순서는 여전히 이것입니다.

앱이 가치를 만든다. ↓ 사람들이 실제로 사용한다. ↓ 기업도 Pi 서비스를 반복적으로 사용한다. ↓ PI의 실질적인 수요가 생긴다. ↓ 그 위에 OUSD·RWA·외부 금융이 연결된다.

그러면 외부 자본은 Pi를 살리기 위해 들어오는 것이 아니라,

이미 가치가 만들어진 Pi 경제에 참여하기 위해 들어오게 됩니다.

아직 DEX·Launchpad의 Mainnet 적용, OUSD의 구체적인 통합 방식, RWA 연결 등 확인해야 할 단계가 많이 남아 있습니다.

그래도 예전에는 하나하나 흩어져 보였던 조각들이 최근 들어 하나의 경제 설계 안에서 연결되기 시작하는 느낌입니다.

그래서 개인적으로는 조금 뿌듯합니다. 😊

제가 오랫동안 바라던 건 “거래소에서 가격이 오르는 코인”보다 “쓸 곳이 많아질수록 자연스럽게 필요해지는 자산”이었으니까요.

이제 중요한 건 하나겠죠.

설계가 실제 사용으로 이어지는 것.

그 단계까지 차근차근 이어지길 기대해봅니다. 💜🌍

#PiNetwork #Pi #OUSD #Stablecoin #RWA #Web3 #DeFi #Tokenization #Blockchain #PiEcosystem #DigitalEconomy > 引用 @PiCoreTeam: Pi Network is exploring how stablecoins can support additional utility across the Pi ecosystem while maintaining a distinct, complementary role to Pi.

Read the new blog in the Pi mining app to learn about: - Pi’s approach to stablecoins - How stablecoins may help expand participation within the ecosystem - Why their implementation requires careful design

And how the OUSD partnership can fit into Pi’s broader stablecoin strategy. https://x.com/kimsunmi2620/status/2108422340350750805

## @LeSprintEdition (Le Sprint) · 10-09 10:22 · ♥72 ↻3 💬3 « J’aurais préféré qu’il ne parte pas en tête-à-queue à Sepang et qu’il se concentre un peu plus sur la course plutôt que sur son tour à vélo, car qu’il a vraiment ruiné ma course. » 🥶

Interrogé sur le défi de Valtteri Bottas, Nico Hülkenberg envoie un pique au finlandais.

Via @de_motorsport

#F1 #SingaporeGP https://x.com/LeSprintEdition/status/2108503471741599997