Welcome to Nofinity

• Main thesis: For decades, the moka pot's function has been misunderstood. The key factor is not steam pressure, but the thermodynamic relationship between pressure and heat generation versus pressure relief.

• Role of headspace: The headspace in the lower chamber is the engine of extraction. Hot air expands and pushes water up before steam forms. This has been confirmed by studies (Navarini 2009).

• Size matters: Smaller pots (e.g., 1-cup) are more self-regulating and forgiving because water removal causes a larger relative pressure drop. Larger pots (6-cup and up) yield higher temperatures and pressures at the end of extraction.

• Water level: A lower water level (below the valve) reduces brew temperature and extraction temperature, potentially reducing bitterness. Adjusting water volume manipulates the balance between pressure relief and heat/pressure generation.

• Water temperature: Room temperature water leads to cooler extractions and prevents over-extraction at the end. Boiling water results in very high temperatures and potentially bitter coffee.

• Grind size and dose: Grind size determines resistance. Finer grinds increase pressure and temperature; coarser grinds decrease them. Too coarse can break the pressure seal. Always fill the basket to the top for a proper seal. Tamping is not recommended with fine grinds as it increases pressure.

• Aeropress filter: An Aeropress filter paper can clarify the cup and improve extraction efficiency without significantly affecting pressure.

• Practical application: For light roast coffee: coarse grind, lower water level (about 120 g in a 3-cup pot), room temperature water. This yields an extraction yield of about 19% and TDS around 6%.

• Conclusion: Understanding thermodynamics allows you to dial in any moka pot (regardless of size, material, or style) to your taste preferences.

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This video shows how to build an extremely fast AI trading bot using Jev and Claude. The author (Miles) demonstrates a live high-frequency trading bot running on Hyperliquid.

• Jev is not a traditional LLM, but a System One model.
• It doesn't generate text; instead, it evaluates states and returns structured decisions with probability scores.
• This enables fast classification at a fraction of the cost of Claude.

• Claude (the LLM) handles strategy development, backtesting, and open-ended analysis.
• Jev takes care of fast decision-making during execution – ideal for high-frequency trading with low latency (~300–500 ms).

• The full setup prompt is available for free in the school community.
• Jev is deployed via Vercel, with Claude Code acting as the control center.
• The bot can run on paper trading or live accounts – the architecture is identical.

• There is no magic strategy: 99% of strategies lose money.
• Use backtesting (e.g., custom engines, Quantedia, NFX) and test strategies on paper first.
• Only switch to a live account after successful forward tests.

• Jev can read live headlines (e.g., Bloomberg, Reuters, Yahoo Finance) and classify them as bullish, bearish, or neutral within milliseconds.
• This makes it possible to build automated news trading systems.

• Alpaca: Simple, supports stocks and crypto, paper and live trading via API.
• Bybit: Better for crypto with lower fees; connect via VPS, MCP, or Trigger Trade.
• Important: set risk rules (max position, daily loss, kill switch) and use alerts or manual approvals for large trades.

Jev is not a replacement for an LLM, but a powerful complement for fast decisions. The technology is useful not only for trading, but also for business workflows (e.g., data classification). Early adopters can gain a real edge.

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• For most of its history, Bitcoin faced heavy government regulation (e.g., China, India) and was often associated with money laundering and crime.
• Donald Trump's transformation is a prime example: from harsh criticism ("Bitcoin is a scam") to a pro-Bitcoin stance, driven by campaign donations, NFTs, and geopolitical considerations.
• The U.S. establishes a Strategic Bitcoin Reserve (Executive Order on March 6, 2025), built on already-seized BTC. The goal: to hold long-term rather than sell.

• Michael Saylor and his company (now "Strategy") developed an extreme treasury strategy: raising capital through equity, convertible bonds, and preferred shares to buy massive amounts of Bitcoin.
• By the end of 2025, the company holds over 670,000 BTC, setting new standards—but not without risks, as seen in forced sales during price drops.
• More and more companies are following the trend: over 198 public firms now hold Bitcoin as a reserve asset.

• Bitcoin mining has become a political tool: Trump wants Bitcoin "mined, minted, and made in the USA".
• The focus is on cheap energy and strategic advantages—a stark reversal from earlier regulatory policies.

• ETFs and regulated custodians (like BlackRock) make Bitcoin accessible to institutions, but users often don't control the private keys—a contradiction to the original ethos of decentralization.
• Satoshi's vision of peer-to-peer cash is diluted by intermediaries, yet the software remains resistant: no government can rewrite the rules running on users' computers.

• Bitcoin has survived its trials (e.g., Mt. Gox, regulatory crackdowns) and now sits at the table with nation-states, corporations, and central banks.
• The core question remains: Can Bitcoin preserve its decentralized identity once banks and states integrate it? Or will it adapt to the traditional financial world?

Conclusion: Whether as digital gold or a political symbol—the world has taken notice of Bitcoin. The fight for the future of money is still open, but Bitcoin has already proven it cannot be beaten.

Would you like to dive deeper into a specific aspect (e.g., Strategy's sales strategy or mining developments)?

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