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Latest Analyses(7)

The Government Just Put a Border Around AI
Bankless|23. Juni

The Government Just Put a Border Around AI

Summary: Crisis of AI Censorship and Decentralization as a Way Out

This transcript of a conversation between Ilia (Bankless) and an unnamed speaker (presumably a representative of Near Protocol) analyzes current developments in AI, particularly government regulation and the resulting opportunities for decentralized, user-owned AI solutions.

Key Points:

  • Entropic's Fable-5 Export Ban: The US government imposed an export ban on Entropic's Fable 5 AI model, citing security concerns (potential jailbreaks). This sets a dangerous precedent for internet control, as it could potentially affect not just AI models but all digital services.
  • Paradox of AI Regulation: The discussion highlights the paradox that while governments deem AI models dangerous (like Fable), they also seek to control and restrict their use. This is seen as a violation of fundamental freedoms (policing thoughts vs. actions).
  • KYC and Surveillance: The demand for "Know Your Customer" (KYC) regulations for accessing powerful AI models is criticized. This would enable widespread surveillance of all users, resembling the surveillance mechanisms of 1984.
  • The "Pandora's Box" is Open: The speaker argues that the development of powerful AI models is unstoppable. Open-source models (like JLM52) and decentralized computing infrastructure (e.g., Near) will soon offer an alternative to centralized, state-controlled models.
  • The Role of Near/Web3: Near Protocol (with Ironclaw, Near AI, and Near Intents) is presented as a decentralized, user-owned alternative. It offers:
    • Confidential Inference: AI models running on user data without being sent to central providers.
    • User Ownership and Control: Data and AI model usage remain the property of the user.
    • Decentralization and Resilience: Networks are resistant to government censorship and outages.
    • Cost-Efficiency: Decentralized AI model usage is often cheaper than centralized options.
  • The Marketplace for AI Agents: The speaker describes a marketplace for specialized AI agents (e.g., finance, law) on a decentralized, trustworthy infrastructure (Ironclaw).

Conclusion:

The discussion concludes with a call that the future of AI lies not in state regulation and surveillance, but in decentralized, user-owned technologies like Near. The speaker emphasizes that Near (and Web3) was built precisely for the challenges emerging today (state censorship, monopolization) and offers the solution for open, free, and private AI usage.

Key Takeaways:

  • State control of AI models is a dangerous precedent.
  • Decentralization and user control are the only way to preserve freedom and privacy.
  • Near Protocol offers a practical alternative to centralized AI providers.
  • KYC and surveillance measures are unacceptable and contradict the core principles of the internet.
  • The future of AI lies in decentralized, open systems.
3 free Github repos to print $$$ AI trading
Miles Deutscher Finance|21. Sept.

3 free Github repos to print $$$ AI trading

Introduction

If building your own trading bot feels overwhelming, there are professional developers who have done it for free on GitHub. This video covers my top three repositories for executing trades, along with setup and usage tips.

Repo 1: Freak Trade
  • Function: Free, open-source crypto trading bot in Python, supporting all major exchanges and controlled via web UI or Telegram.
  • Features: Backtesting, plotting, money management, and machine learning for strategy optimization.
  • Key Point: Beginner-friendly with pre-built parameters and risk settings. Also supports stocks, commodities, and FX via exchanges like Binance or Hyperliquid.
  • Live Trading: Control via Telegram commands (e.g., /performance, /start, /stop). Includes built-in backtesting with historical data and a dry run feature.
  • Conclusion: Perfect for those wanting a ready-to-use solution without deep programming.
Repo 2: Vibe Trading
  • Function: Personal trading agent with self-improving features to generate and test strategies.
  • Features: Answer market questions, backtest, review trades, read institutional filings, run analyst teams, and access a library of over 450 pre-built alpha factors.
  • Application: Ideal as a research and strategy development tool before live trading. Can connect to Alpaca for paper trading.
  • Example: Tested momentum strategies for NVDA, META, AAPL, MSFT, and AMZN, backtested with realistic fees, and set up paper trading with $100k.
Repo 3: No FX
  • Function: AI trading terminal for stocks, commodities, forex, and crypto.
  • Features: Autopilot mode, no need for personal hardware – everything runs on their servers. Provides a dashboard with liquidation maps, order books, signal matrix, and orchestration.
  • Application: Create and execute strategies directly via the web interface on Hyperliquid or other exchanges.
  • Advantage: Very user-friendly as the infrastructure is pre-built.
Conclusion & Recommendations
  • Recommendation: Try all three repos as they serve different purposes. You can combine tools, e.g., use Vibe Trading for strategy development and Freak Trade for execution.
  • Tip: Experiment with paper trading to test strategies risk-free. This is the best way to learn and improve AI trading.
  • Additional Info: For setup guides and community access, check the description.