Only xxx Can Save the Crypto World? Let 'Lobster' Play Prediction Markets

比推Pubblicato 2026-03-17Pubblicato ultima volta 2026-03-17

Introduzione

This article discusses recent hot topics in the crypto community, as shared by influencers on X (formerly Twitter). Key points include: - Debate around an AI arbitrage bot allegedly earning $98K on Polymarket using Claude. Skeptics point to potential survivorship bias, liquidity constraints, and the rapid decay of alpha once strategies are public. - A resource sharing over 11,000 high-quality image generation prompts for Nano Banana Pro. - Commentary on Venus Protocol, highlighting its vulnerability to repeated exploits, with a linked analysis of how to profit from a recent attack. - A controversial opinion piece by influencer @BTCdayu arguing that only Sam Bankman-Fried (SBF) can "save crypto." The author claims that despite SBF's crimes and 25-year sentence, his genius is needed to address current industry crises: VC-backed altcoins scamming users, Bitcoin miners pivoting to AI, broken tokenomics, and a lack of new narratives. SBF's background at Jane Street, his innovative FTX trading system, and his early bets on AI (like Anthropic) are cited as reasons he could drive integration between AI and crypto, potentially pushing BTC to $1 million. This sparked heated discussion, with replies noting the improbability of a pardon, SBF's likely shift to AI, and that this nostalgia reflects a bygone era of "capital, narrative, and runaway imagination." The article concludes with links to the news outlet's social channels. All content is presented as personal opinion and not invest...

Dear readers, hello~

What were the crypto KOLs talking about in the past 24 hours?

Note: The following content is compiled from the X platform and represents personal opinions, not the stance of this platform, and does not constitute investment advice.

AI Arbitrage Bot: Real or Fake?

Popular Replies:

  • Someone claimed to have made $98K using Claude on Polymarket. I verified: the money is real, the story is fabricated.

  • If the little lobster wants to do 5-minute market detection, the detection frequency should be at least at the ms level, right? Then the consumption of tokens could make someone a "millionaire in debt."

  • 86 times sounds scary, but there are a few issues: 1) Sample bias? Losing bots don't tweet. 2) How much scale can Polymarket's liquidity support? 3) Once the strategy is public, the Alpha disappears. To truly verify sustainability, at least 3 months of backtesting + maximum drawdown is needed;

  • Is this AI just survivor bias? Most losing AIs are too ashamed to show up;

Over 11,000 High-Quality Image Generation Prompts for Nano Banana Pro

Resource self-service: https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts


Venus is Either Being Hacked or on the Way to Being Hacked

Recap on how to profit from the Venus THE attack: https://x.com/hklst4r/status/2033182792029294736

Who Can Save the Crypto World?

Crypto KOL @BTCdayu wrote: Only SBF Can Save the Crypto World.

The author believes that although SBF's misappropriation of funds is a serious crime deserving of a 25-year sentence, the crypto world urgently needs his genius mind to save it from the current crisis: VC altcoins scamming retail, BTC mining farms transitioning to AI, token economics becoming a joke, and a lack of new narratives. SBF, from Jane Street, innovated the FTX trading system, heavily invested in AI projects like Anthropic (potential trillion-dollar returns), and understands the integration of AI and Crypto. If pardoned, he could reconstruct computing power, build an AI Agent settlement layer, inject new capital energy, and push BTC to $1 million. His core view: Forgiveness is not forgetting, but allowing genius to create value under regulation and rules.

The article sparked heated discussion:

Popular Replies:

  • Even if SBF is pardoned, he might not work in crypto anymore, as his business acumen in AI is even higher.

  • He cannot be pardoned. First, he backed the wrong side back then. Second, if you're going the political donation route, you绝对不能中途跳船 (absolutely cannot jump ship midway).

  • Remembering SBF is actually remembering the crypto era of "capital, narrative, and imagination expanding uncontrollably." In that cycle, VC money flooded in like liquidity, "effective altruism" could coexist with high leverage, and big fools holding onto a belief coin could see hundred or thousand-fold gains... So it's about time to wash up and sleep.

  • Staying sober in a bear market is more precious than幻想暴富 (fantasizing about getting rich quick).

  • Surviving > Making money

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Original link: https://www.bitpush.news/articles/7620287

Domande pertinenti

QWhat is the main argument presented in the article regarding who can save the crypto circle?

AThe article presents the argument that only SBF (Sam Bankman-Fried), despite his criminal conviction, can save the crypto circle with his genius mind, innovative capabilities from his Jane Street background, and his foresight in AI and crypto fusion.

QWhat are the key criticisms or concerns raised about the AI arbitrage bot story mentioned in the article?

AThe key criticisms include potential survivorship bias (only profitable bots are publicized), questions about the scalability given Polymarket's liquidity, and the concern that the trading alpha would disappear once the strategy is made public.

QAccording to the article, what was the Venus protocol incident about?

AThe Venus protocol was reportedly exploited, and the article includes a link to a复盘 (post-mortem analysis) on how to profit from the Venus THE attack, indicating it was a security incident or hack.

QWhat is the Nano Banana Pro mentioned in the article, and what resource is provided for it?

ANano Banana Pro appears to be an AI image generation tool or model. The article provides a link to a GitHub repository containing over 11,000 high-quality image generation prompts for it.

QWhat is the general sentiment among commentators regarding the 'Only SBF can save crypto' proposal?

AThe sentiment is largely skeptical and critical. Commentators point out that SBF is unlikely to be pardoned, that he might not return to crypto even if he was, and that the piece is more a nostalgic reflection on a past era of crypto excess rather than a practical solution.

Letture associate

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

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Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

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Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

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Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

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Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

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Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

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OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

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OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

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Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

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Your Claude Will Dream Tonight, Don't Disturb It

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