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Bitwise CIO Warns the L1 Narrative May Be Dead Wrong

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Bitwise CIO Warns the L1 Narrative May Be Dead Wrong

The idea that Layer 1 blockspace has become a commodity may be premature, according to Bitwise CIO Matt Hougan, who argues that institutional behavior tells a very different story.

Hougan pushed back on what he described as an “increasing view in crypto that L1 blockspace is a commodity.

Institutional Capital Clusters on Top-Tier Chains as On-Chain Prediction Markets Redefine Information Edge

According to the Bitwise executive, if infrastructure were truly commoditized, capital and development would be evenly distributed across chains.

Instead, the vast majority of institutional building is taking place on very few chains (Ethereum, Solana, etc.).

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“…basically, zero interest in building on the twentieth largest L1,” he explained.

Networks like Ethereum and Solana continue to dominate mindshare, liquidity, and developer activity, even as newer Layer 1s compete aggressively on fees and throughput. Hougan offered a simpler explanation for today’s low-fee environment.

“Top-tier L1s built more bandwidth than the market can use at the moment, so fees are rock-bottom.”

However, he cautioned that the current equilibrium may not last.

“The real question is what happens when demand scales as stablecoins/tokenization/DeFi grow into the trillions,” he wrote. “I’m not sure we know the answer yet.”

If blockchain-based financial infrastructure expands to support trillions of dollars in tokenized assets and on-chain settlement, today’s excess capacity could quickly tighten. Such an outcome could potentially reshape the economics of leading networks.

Prediction Markets as a “Reg FD for the Internet Age,” Hougan Argues

Beyond infrastructure, Hougan also weighed in on another contentious topic: insider trading concerns surrounding crypto-based prediction markets.

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“The insider trading worries about prediction markets are basically backwards,” he wrote. “Prediction markets are a markets-based extension of Reg FD, putting us all on a level playing field.”

Regulation Fair Disclosure (Reg FD) was designed to prevent selective disclosure of material information to favored investors.

Hougan argues that prediction markets extend that principle by publicly pricing probabilities around major events.

He reflected on how hedge funds historically extracted “alpha” during pivotal legislative moments in Washington, D.C., hiring lobbyists and consultants to gather private intelligence from Capitol Hill.

Today, however, retail investors can track live probabilities on platforms like Polymarket, including markets tied to the potential passage of legislation such as the Clarity Act.

“For liquid markets, those odds are probably as good or better than anything the lobbying complex can provide. It’s a more even playing field,” Hougan said.

He acknowledged that risks remain, citing the need to aggressively police insider trading in prediction markets. Still, he emphasized that the impact balance is dramatically positive and egalitarian.

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Therefore, there are two debates here:

  • Whether L1s are commoditized and
  • Whether prediction markets enable unfair advantages

Both debates revolve around how power is distributed in financial systems. According to Matt Hougan, institutional concentration on top-tier chains reflects economic reality rather than pure commoditization.

Meanwhile, open prediction markets represent a rare instance where information asymmetry may actually be shrinking.

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Otto AI: The DeFi Co-Pilot That Actually Does the Work

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Otto AI: The DeFi Co-Pilot That Actually Does the Work

DeFi is powerful. It’s also… chaotic. Ten tabs open, three bridges bookmarked, gas fees doing gymnastics, and one wrong click away from a bad day.

Otto AI was built to fix that.

Otto is an advanced AI-powered digital asset assistant designed to simplify interactions in Decentralized Finance through a conversational interface. Instead of manually hopping across protocols, chains, and dashboards, you tell Otto what you want to do.

Think less “DeFi spreadsheet operator.”
More “DeFi commander.”

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What Is Otto?

Otto AI is a chat-based DeFi assistant that abstracts away the technical complexity of interacting with multiple protocols, chains, and trading venues.

Its core mission:

  • Simplify DeFi interactions

  • Provide a user-friendly, conversational experience

  • Optimize swaps and cross-chain bridges

  • Manage yield intelligently

  • Enable lending and leveraged trading

  • Deliver AI-powered market intelligence

  • Educate users through built-in DeFi learning tools

Otto combines a powerful AI agent with robust DeFi aggregation and trading infrastructure — so users can operate across ecosystems without becoming full-time protocol archaeologists.

The Otto AI DeFi Agent allows you to plan and initiate transactions using natural language.

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Instead of navigating complex interfaces, you type what you want.

How It Works

  1. Select the Otto AI DeFi Agent tab.

  2. Enter your request clearly and concisely.

  3. Include important details:

    • Action (swap, bridge, lend, long, etc.)

    • Amount (e.g., 1.5 ETH)

    • Source & destination tokens

    • Source & destination chains

  4. Otto analyzes your wallet, portfolio, and available tools.

  5. It returns a planned summary for confirmation.

  6. After you approve in chat, you approve the transaction in your wallet.

Nothing executes without your confirmation.

Otto plans.
You approve.
The wallet signs.

Example Requests

Otto understands a wide range of DeFi actions:

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Swaps

“Swap 0.5 ETH for USDC on Arbitrum.”

Cross-Chain Bridges

“Bridge 1000 DAI from Ethereum to Polygon.”

Cross-Chain Swaps

“Swap 1 ETH on Ethereum to OP on Optimism.”

Sending Assets

“Send 0.1 ETH to 0xRecipientAddress on Base.”

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ENS domains are supported too.

Lending on Aave

You can lend seamlessly on Aave V3, including cross-chain deposits in a single transaction.

Examples:

Otto handles routing and optimisation behind the scenes.

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Yield Management on Pendle Finance

Pendle can be powerful — but confusing.

Otto simplifies yield allocation with context-aware decision-making.

Example:
“Allocate 1 ETH to the highest yielding Pendle market.”

Instead of manually evaluating pools, durations, and APYs, Otto synthesizes the opportunity landscape for you.

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Perpetual Futures on Hyperliquid

Want to trade perps without wrestling with 20 parameters?

Examples:

Otto supports leveraged long and short execution directly through Hyperliquid.

Yes, with proper confirmation.

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No, it won’t YOLO for you without permission.

Smarter Decisions, Not Just Faster Execution

Otto doesn’t just execute — it informs.

You can ask:

  • “Explain lending on Aave.”

  • “What are yield strategies on Pendle?”

  • “Summarize today’s crypto market news.”

Otto includes a built-in DeFi 101 educational library and AI-powered market analysis.

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It understands the difference between:

That context awareness matters.

Beyond execution, Otto runs a powerful Market Alpha Agent — a real-time crypto intelligence engine combining:

  • News aggregation

  • Social sentiment

  • Derivatives data

  • Whale tracking

  • Technical indicators

All inside one unified AI system.

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To access it on X (Twitter), users mention @Butler_agent and request services.

Flagship Alpha Services

1. Suggest A Trade (0.25 USDC)

An AI-powered trade engine delivering high-conviction ideas.

What it includes:

  • Long/Short/Yield setups

  • RSI, MACD, funding rates, open interest

  • Kelly Criterion-based position sizing

  • Risk profiles: Conservative, Moderate, Aggressive

  • Pre-configured execution parameters

This isn’t “vibes-based trading.”
It’s structured probability-driven decision modeling.

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2. Mega Report (0.25 USDC)

A daily market briefing designed for serious traders.

Includes:

Access Routes:

  • Standard: Pay 0.25 USDC

  • Holder Perk: 50K+ $OTTO → refunded in $OTTO

  • Telegram Mode: Free daily delivery for 50K+ holders

  • 3. Token Alpha (0.10 USDC)

    Deep-dive institutional-grade analysis:

    • Funding rates

    • Open interest changes

    • Long/Short ratios

    • Whale positioning

    • Liquidation clusters

    Retail rarely gets this level of derivatives visibility.

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News & Social Intelligence

From influencer narratives to broader Twitter pulse analysis, Otto tracks where attention and capital are moving.

Yield & Research Tools

  • Yield Alpha (0.10 USDC): Compare blue-chip protocol yields.

  • Topic Research (0.10 USDC): Deep narrative investigations.

  • Token Info (0.10 USDC): Quick price and supply checks.

  • Twitter Alpha (0.01 USDC): Fast sentiment snapshots.

Otto compresses hours of research into seconds.

$OTTO: The Engine of the Agentic Economy

The $OTTO token powers the entire ecosystem.

It’s not decorative. It’s functional.

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Its value proposition is built on three pillars:

1. Decentralized Governance & Protocol Ownership

Through a Snapshot-integrated DAO, holders can:

Community ownership isn’t marketing language — it’s structural.

2. Platform & Feature Access

Holding 50,000+ $OTTO unlocks:

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Utility meets alignment.

3. Revenue Share & Buyback Engine

A portion of revenue from:

Is programmatically used to buy back $OTTO on the open market.

The flywheel:

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Platform Growth → Revenue → Buybacks → Reduced Supply → Potential Value Accrual

The long-term objective is to qualify for inclusion in the Virtuals Agent Liquidity Engine (ALE), a curated group of revenue-generating AI projects.

The Bigger Picture

Otto AI represents a shift in how users interact with DeFi:

From dashboards → to dialogue.
From manual routing → to intelligent orchestration.
From fragmented tools → to agentic coordination.

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It combines:

  • AI execution planning

  • DeFi aggregation

  • Trading infrastructure

  • Market intelligence

  • Governance participation

All under one ecosystem.

DeFi isn’t getting simpler.

So Otto made it conversational.

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Vitalik Buterin Proposes TX Simulations to Boost Crypto Security

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Crypto Breaking News

Vitalik Buterin, the co-founder of Ethereum, has floated a design concept that could reshape how users interact with wallets and smart contracts. In a Sunday post on X, he argued that security and user experience are not separate, but rather two sides of the same coin—both hinging on what users actually intend when they initiate on-chain actions. The gist is to build systems that help users verify their intent through on-chain simulations before an action is executed, potentially reducing mistakes and vulnerabilities in the process. The discussion also touched on practical guardrails, such as spending limits and multisignature thresholds, to ensure that actions align with a user’s risk appetite. The proposal is part of a broader effort to improve crypto UX without compromising the core principles of decentralization and permissionless access. X post.

Key takeaways

  • Buterin envisions an intent-based layer where users see a simulated, on-chain preview of consequences before confirming an action, tying user goals to blockchain outcomes.
  • The approach could extend beyond wallets and smart contracts to systems at the OS or hardware level, broadening the scope of intent verification.
  • Mechanisms such as spending limits and multisig approvals are proposed to ensure execution only occurs when intent, expected outcomes, and risk limits are aligned.
  • Buterin acknowledges that defining user intent is extremely complex, and there may never be a perfect security solution.
  • The goal is to make routine, low-risk interactions easier while making dangerous operations harder, guided by a user’s stated preferences and risk tolerance.

Tickers mentioned: $ETH

Sentiment: Neutral

Market context: The idea arrives as Ethereum’s ecosystem continues to pursue better UX and stronger on-chain security, while debates persist about the blockchain trilemma and how to balance security, decentralization, and scalability amid rapid wallet and dApp growth.

Why it matters

The core appeal of an intent-based security model is practical: it seeks to reduce user error and opportunistic exploits by ensuring that the action a user intends to take is what actually plays out on-chain. If implemented effectively, wallet providers could offer a dynamic preview of a transaction’s on-chain effects—akin to a sandboxed simulation—that helps users catch mistakes before they sign. This could lower the barrier for non-technical users to participate in DeFi and other on-chain activities without sacrificing safety.

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From a design perspective, the concept would demand a careful rethinking of user interfaces and risk signaling. Wallets and smart contract platforms would need to present clear, interpretable simulations that reflect real-world costs, slippage, and potential reverts. That implies a shift in how developers approach permission models, error handling, and fallback options. It also raises questions about standardizing risk metrics across diverse protocols, ensuring consistency across wallets, and maintaining trust when simulations align with complex, dynamic on-chain states.

Critically, the proposal acknowledges one of crypto’s enduring challenges: user intent is not a static, easily measurable target. The quoted line underscores this complexity: “It’s not because machines are flawed, or even because humans designing the machines are flawed, but because ‘the user’s intent’ is fundamentally an extremely complex object that the user themselves does not have easy access to.” Still, Buterin suggests a pragmatic path forward: the intent system could require overlapping specifications—so that actions proceed only when multiple independent signals converge with the user’s declared goals. This layered approach aims to prevent unintended consequences while avoiding excessive friction for legitimate, low-risk actions.

The broader framing ties into the blockchain trilemma—security, decentralization, and scalability. Buterin has long argued that these three are in tension, and solutions must trade one for another. In the Ethereum ecosystem, decentralization and scalability have garnered heightened focus in recent years as developers push layer-2s and architectural upgrades to relieve mainnet congestion. A robust, user-centric security enhancement could help mainstream adoption by reducing the likelihood of user error without centralizing control or compromising trust assumptions.

For researchers and practitioners, the concept invites practical experimentation. It is one thing to propose simulations in theory; it is another to integrate them into wallet UX, ensure privacy of intents, and defend against adversarial manipulation. The discussion also nods to hardware and operating-system considerations, suggesting that intent-aware security could become a cross-cutting pattern for broader devices beyond purely blockchain-native software. The path from idea to implementation would require collaboration among wallet vendors, security researchers, and standard-setting bodies to establish verifiable safety guarantees while preserving the open, permissionless ethos that underpins Ethereum.

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What to watch next

  • Public proposals or whitepapers from Ethereum researchers or wallet developers outlining concrete designs for on-chain intent simulations.
  • Pilot experiments or beta features in wallets that test simulated consequences and multi-signal intent checks in real user flows.
  • Discussions around risk models, privacy protections, and governance processes needed to validate intent-based security across different ecosystems.
  • Further commentary from Vitalik or Ethereum Foundation researchers that expand on the overlap between user intent, security guarantees, and UX considerations.

Sources & verification

  • Vitalik Buterin’s X post discussing intent-based security and on-chain simulations: https://x.com/VitalikButerin/status/2025653045414273438
  • Starknet taps EY Nightfall to bring institutional privacy to Ethereum rails: https://cointelegraph.com/news/starknet-taps-ey-nightfall-institutional-grade-privacy
  • Ethereum Foundation seal partner Stop Wallet Drainers: https://cointelegraph.com/news/ethereum-foundation-seal-partner-stop-wallet-drainers
  • Blockchain trilemma discussion and its framing around security, decentralization, and scalability: https://cointelegraph.com/news/blockchain-trilemma-solved-zkevms-and-peerdas-vitalik-buterin
  • Sacrificing Ethereum’s values for mainstream adoption must stop now: https://cointelegraph.com/news/sacrificing-ethereums-values-for-mainstream-adoption-must-stop-now-buterin

Intent-based security and on-chain simulations: what it could change

Ethereum (CRYPTO: ETH) has long stood at the center of a debate about how to balance safety with openness. Buterin’s latest stance argues that a system of simulated previews could help users see the chain of consequences before a transaction is broadcast. The idea aligns with a broader push in the ecosystem to reduce risky interactions—such as signing a contract that would drain funds or approve a high-velocity transfer—by making the path from action to outcome more transparent. The mechanism would likely rely on a combination of client-side simulations, server-assisted checks, and user-configurable risk controls that empower individuals to tailor their security posture without locking down their capabilities.

People familiar with the concept emphasize that any practical implementation would have to preserve the security guarantees that users expect from public blockchains. The simulations would need to be tamper-evident and auditable, with clear signals about potential edge cases, network fees, and the probability of execution under different conditions. Importantly, the model would have to respect user autonomy: it should not become a gatekeeper that blocks legitimate activities simply because a risk model flagged a worst-case scenario. The design goal remains to help users make informed decisions, not to override user intent with bureaucratic or opaque prompts.

As the ecosystem continues to evolve, the notion of intent-based security could influence wallet design, smart contract verification tooling, and even hardware-embedded protections. If the approach proves viable, it may contribute to a more intuitive onboarding experience for newcomers while providing a layered defense for seasoned users who routinely engage in high-stakes DeFi operations. The conversation is ongoing, and observers will be watching for concrete proposals, pilot deployments, and community feedback that help translate the concept into actionable features without compromising the decentralized, permissionless nature of Ethereum.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Bitcoin Plunges 4% as Fear and Greed Index Hits Historic Low

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Bitcoin Plunges 4% as Fear and Greed Index Hits Historic Low

The Crypto Fear and Greed Index fell back to its lowest levels on Monday as Bitcoin plunged more than 4% on the day to $64,300, giving back its gains since Friday. 

More than 136,000 traders were liquidated over the past 24 hours, with total liquidations sitting at $458 million, 92% of which were leveraged long positions, according to CoinGlass.

Bitcoin saw some gains over the weekend, tapping $68,600 on Saturday, but it now sits at support at the bottom of a range-bound channel that formed after its Feb. 6 wipeout to $60,000.

Bitcoin is now trading 48% lower than its October all-time high of $126,000 and 5.5% below its peak level of $69,000 from the 2021 bull market. 

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Bitcoin sheds more than $3,000 in less than two hours. Source: TradingView

Fear and Greed Index at historic lows

Alternative.me’s Crypto Fear and Greed index, which measures overall market sentiment, has fallen back to 5 out of 100, indicating “extreme fear.”

It has only ever fallen this low three times since 2018 — when the index launched — including August 2019, June 2022, and earlier this month. 

Related: Crypto sentiment hits extreme fear as Matrixport flags possible bottom

On-chain analytics provider Glassnode reported on Monday that the seven-day moving average for net realized losses for recent investors was still nearly $500 million per day, noting that they are still capitulating. 

“While the intensity has cooled, the broader regime still signals a market under pressure, with participants in the base formation phase continuing to capitulate.”

Bitcoin Sharpe Ratio also at historical lows  

Meanwhile, analyst Michaël van de Poppe posted what he called a “phenomenal chart” on Saturday showing that the Sharpe Ratio for Bitcoin has fallen to -38.4, “which historically has marked ‘low risk’ accumulation zones.”

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The ratio measures Bitcoin’s performance relative to the risk taken, indicating how much return an investor can expect for each unit of risk. 

The Bitcoin Sharpe Ratio has only been lower twice in history. Source: Michaël van de Poppe

Magazine: Bitcoin may take 7 years to upgrade to post-quantum: BIP-360 co-author