2026-05-22 Sexta

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No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

A No-Code Guide to Building Your First AI Agent in a Weekend This article presents a weekend, zero-code tutorial for beginners to build a functional AI Agent using tools like Claude. It clarifies the core difference between a chatbot, which responds to queries, and an Agent, which autonomously plans and executes multi-step tasks using tools to deliver a final result. The process is broken into four stages over two days: 1. **Saturday Morning: Understanding Agents.** Learn that an Agent requires a clear Goal, a Plan, necessary Tools, and an execution Loop. Identify a simple, multi-step task from your own work/life as your first project. 2. **Saturday Afternoon: Building with Claude.** Create a one-page "Agent Blueprint" answering: the Goal, sequential Steps, required Tools, the desired Output format, and error-handling rules. Implement this blueprint in Claude (Desktop Cowork or web Projects) and run the Agent for the first time. 3. **Sunday Morning: Debugging & Optimization.** Review the initial (often 60-70% accurate) output. Identify flaws, trace them back to vague instructions in your blueprint, and refine it with more specific criteria and error handling. Iterate this run-review-refine cycle 3-4 times to reach ~90% reliability. 4. **Sunday Afternoon: Expansion.** Apply the learned workflow to quickly build a second, different Agent (e.g., for research, content repurposing, or meeting prep), experiencing the compounding efficiency gains. The core skill is not writing a perfect blueprint initially, but rapidly iterating based on output. By the end of the weekend, you'll have built two usable Agents, moving beyond just chatting with AI to automating multi-step workflows, fundamentally changing how you approach repetitive tasks.

marsbit05/16 15:19

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

marsbit05/16 15:19

South Korea To Unveil Tokenized Securities Rules In July As Crypto Regulation Advances

South Korea's Financial Services Commission (FSC) plans to release a detailed framework for tokenized securities in July. This initiative follows the passage of the Token Securities Institutionalization Act, which will take effect in February 2027. The regulations aim to allow qualified issuers to launch and trade tokenized securities using distributed ledger technology through licensed intermediaries. FSC Vice Chairman Kwon Dae-young emphasized balancing innovation with trust, market order, and investor protection. The framework will include rules for issuance, infrastructure, and distribution, and permit fractional investment securities. This move is part of South Korea's broader push to regulate digital assets. Concurrently, the country is preparing to implement a 20% income tax on crypto assets starting in 2027, despite some public and political opposition. Lawmakers are also urging the government to prioritize delayed stablecoin legislation.

bitcoinist05/16 15:02

South Korea To Unveil Tokenized Securities Rules In July As Crypto Regulation Advances

bitcoinist05/16 15:02

Bitcoin Monthly Structure Signals Continuation Of Major Historical Trend

Bitcoin's long-term price pattern on the monthly chart suggests a continuation of a major historical trend, indicating a potentially positive close for May. Historical data shows that when BTC trades above its monthly open by mid-month, it closes positively about 77% of the time. May is currently positioned for this outcome, which would mark three consecutive green monthly candles—a pattern not seen in prior bear markets. While short-term volatility persists with Bitcoin retesting key support levels, analysts note the recent downside was driven more by long liquidations than strong selling pressure. The emergence of trapped short positions at local lows could fuel a move higher if aggressive buying materializes, forcing short coverings. For sustained upside, Bitcoin needs to hold above critical moving averages, though the broader macro trend remains cautious as long as it respects a pattern of lower highs.

bitcoinist05/16 14:31

Bitcoin Monthly Structure Signals Continuation Of Major Historical Trend

bitcoinist05/16 14:31

Crypto Industry Watches As Poland Advances Long-Delayed Regulatory Bill

Poland's parliament has passed a long-delayed cryptocurrency regulatory bill, driven by urgency following a fraud scandal at a local exchange. Prime Minister Donald Tusk cited the Zondacrypto case, where users lost access to funds and which had alleged Russian ties, as proof of the need for investor protections. The approved bill grants Poland's Financial Supervision Authority (KNF) broad powers to oversee the market, impose penalties, and block accounts or transactions. However, the legislation faces potential rejection, as it retains contentious account-blocking provisions that led President Karol Nawrocki to veto two prior versions. Critics argue it lacks sufficient judicial oversight. A third veto would prolong regulatory uncertainty as Poland races to align with the EU's MiCA framework by a July deadline. The bill prevailed over three other competing proposals in a parliamentary vote.

bitcoinist05/16 11:15

Crypto Industry Watches As Poland Advances Long-Delayed Regulatory Bill

bitcoinist05/16 11:15

Winter for Crypto IPOs: Consensys and Ledger Withdraw Applications

The crypto IPO window is tightening significantly in 2026, marked by prominent companies delaying or pausing their public listing plans. Following a successful 2025 "harvest year" that saw Circle, Bullish, and Gemini go public amidst a bull market, the tide has turned. Consensys, developer of MetaMask, recently postponed its IPO until at least fall 2026. Hardware wallet leader Ledger also suspended its planned US listing due to unfavorable market conditions, with Kraken having previously delayed its own plans. This shift is driven by a cooling market in 2026, characterized by a significant Bitcoin price correction, declining trading volumes, and reduced investor risk appetite for crypto stocks. The poor post-IPO performance of 2025 listings like Circle and Bullish, which saw major share price declines, has heightened investor caution. This contrasts sharply with the current AI sector, where companies like SpaceX, OpenAI, and Anthropic are commanding massive valuations and investor enthusiasm based on narratives of stable, exponential growth. Crypto companies now face pressure to transition from hype-driven models to demonstrating reliable cash flows and robust compliance. While the paused IPO plans may lead to valuation resets and affect ecosystem liquidity, they also accelerate industry consolidation toward stronger, more compliant infrastructure players. A potential recovery in Bitcoin's price and clearer regulations could reopen the IPO window in the latter half of 2026.

marsbit05/16 10:59

Winter for Crypto IPOs: Consensys and Ledger Withdraw Applications

marsbit05/16 10:59

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

OpenAI has launched a personal finance tool for ChatGPT, currently in preview for US-based ChatGPT Pro users. This feature allows users to connect their bank and investment accounts (via Plaid, supporting over 12,000 institutions) directly to ChatGPT. It analyzes transactions, generates visual dashboards, and offers conversational financial advice—such as budgeting or planning for major purchases—based on the user's actual data. This move follows OpenAI's acquisitions of fintech startups Roi and Hiro Finance, signaling a strategic push into vertical "super assistant" applications, similar to its earlier health-focused feature. However, the launch has sparked significant privacy concerns. Critics question the safety of granting such sensitive financial access to an AI, especially amid ongoing lawsuits alleging OpenAI shared user chat data with third parties like Meta and Google. OpenAI emphasizes that ChatGPT only reads data (no transaction capabilities), deletes it within 30 days if disconnected, and offers opt-out options for model training. Yet, trust remains a major hurdle. The trend reflects a broader industry shift: AI companies like Anthropic and Perplexity are also targeting high-value, data-rich domains like finance and health. While technically promising, the tool operates in a regulatory gray area—it provides personalized guidance but disclaims formal financial advice or liability. Ultimately, OpenAI's challenge is convincing users to trust an AI with their most private financial information.

marsbit05/16 10:58

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

marsbit05/16 10:58

Hyperliquid Sued by Two Major Traditional Exchanges

In a notable development within the financial sector, two of the world's largest traditional exchanges, CME Group and Intercontinental Exchange (ICE), have jointly filed a complaint with the U.S. Congress and the Commodity Futures Trading Commission (CFTC). They are demanding stricter regulatory oversight of the cryptocurrency derivatives platform Hyperliquid. This move signals escalating tensions between established traditional financial institutions and emerging digital asset trading venues, highlighting the ongoing regulatory debate surrounding the crypto industry.

marsbit05/16 10:57

Hyperliquid Sued by Two Major Traditional Exchanges

marsbit05/16 10:57

Hyperliquid Sued by Two Major Traditional Exchanges

Hyperliquid, a cryptocurrency derivatives platform, is facing formal complaints from two major traditional exchanges, CME (Chicago Mercantile Exchange) and ICE (Intercontinental Exchange, parent company of the New York Stock Exchange). The firms have jointly approached the U.S. Congress and the CFTC (Commodity Futures Trading Commission), urging stricter regulatory oversight of Hyperliquid's operations. The action highlights growing tensions between established traditional financial institutions and emerging crypto-native platforms in the derivatives market.

链捕手05/16 07:23

Hyperliquid Sued by Two Major Traditional Exchanges

链捕手05/16 07:23

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

OpenAI has announced a major internal reorganization just months before its anticipated IPO. The company is merging its three flagship product lines—ChatGPT, Codex, and the API platform—into a single, unified product organization. The most significant leadership change involves co-founder and President Greg Brockman moving from a background technical role to take full, permanent control over all product strategy. This follows the indefinite medical leave of AGI Deployment CEO Fidji Simo. Additionally, ChatGPT's longtime lead, Nick Turley, has been reassigned to enterprise products, with former Instagram executive Ashley Alexander taking over consumer offerings. The consolidation, internally framed as a strategic move towards an "Agentic Future," aims to break down internal silos and create a cohesive "Super App." This planned desktop application would integrate ChatGPT's conversational abilities, Codex's coding power, and a rumored internal web browser named "Atlas" to autonomously perform complex user tasks. The reorganization occurs amid significant internal and external pressures. OpenAI has recently seen a wave of high-profile departures, including Sora co-lead Bill Peebles and other senior technical leaders, leading to concerns about a thinning executive bench. Externally, rival Anthropic recently secured funding at a staggering $900 billion valuation, surpassing OpenAI's own. Google's upcoming I/O developer conference also poses a competitive threat. Analysts suggest the dramatic restructure is a pre-IPO move to present a clearer, more focused narrative to Wall Street—streamlining operations and demonstrating decisive leadership under Brockman to counter internal turbulence and intense market competition.

marsbit05/16 07:09

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

marsbit05/16 07:09

Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

链捕手05/16 07:09

Two Survival Structures of Market Makers and Arbitrageurs

链捕手05/16 07:09

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