Welcome to Nofinity

Experiment on Cognitive Improvement with Photobiomodulation at Age 65

In this video, the speaker begins a structured 3-month self-experiment using a transcranial photobiomodulation device (Neuronic Light) to enhance brain function. The goal is to test the efficacy of near-infrared light (1070 nm) in crossing the blood-brain barrier.

Background and Technology

• Photobiomodulation uses light therapy to boost cellular energy production. The device emits near-infrared light at 1070 nm, which penetrates deeper into bone and tissue than shorter wavelengths.
• The mechanism: Light photons are absorbed by the cytochrome C oxidase enzyme in mitochondria, increasing ATP production. Concurrently, nitric oxide is released, improving blood flow and oxygen supply.

Study Protocol

• Duration: 12 weeks with daily sessions 6 days a week.
  • Morning: 10 minutes Glow protocol (100% intensity, continuous wave) for general cellular health, followed by 6 minutes Focus protocol (70%, 40 Hz pulse) for cognitive sharpness.
  • Evening: 9 minutes Peace protocol (20%, 10 Hz pulse) for relaxation.
• Measurements: Objective tests using Aura Ring (sleep quality, heart rate variability), Cambridge Brain Sciences (cognitive performance), and a homemade mood scale.

Expectations

• Month 1: Improvement in deep sleep stages and morning alertness.
• Month 2: Sharper focus and more stable mood.
• Month 3: Sustained energy, stable circadian rhythms, and better cognitive test scores.

Note: The speaker is an affiliate of the company but was not paid for the video. A detailed review will follow after the experiment.

📊 Crypto Winner: Solana Dominates by the Numbers

This analysis uses on-chain metrics to reveal which blockchain has truly won over the past three years. The data is clear:

• Daily Active Users: Solana has 4.52 million (44.5% of all crypto users) – 16.2x more than Ethereum (279,000) and 7.4x more than Bitcoin (610,000).
• Market Cap per User: Solana at $9,000, Ethereum at ~$1 million, Bitcoin at $2.1 million – a massive discrepancy.
• 24h App Revenue: Solana apps generate $4.31 million (4.4x more than Ethereum's $988,000).
• Daily Transactions: Solana with 75 million (5x increase in 3 years), Ethereum only 1.5 million (50% growth).
• 5-Year Performance: Binance (+44.5%), Solana (+41.7%), Bitcoin (+35.7%), Ethereum –43.5%.

📈 Why Solana is the Winner

Three key factors:

• Finality is the Product: Solana offers instant transaction finality – crucial for AI agents that will conduct 99.9% of future transactions.
• Winner Takes Most: Solana and Tron hold 72% of all daily active addresses – the rest fight over 28%.
• Fundamentals vs. Price: Despite record activity (1.1 billion transactions/week), Solana's price has been declining for months. Historically, price recovery follows on-chain activity.

⚠️ Beware Hype & Dead Chains

The analyst criticizes overly optimistic predictions (e.g., Ethereum target of $250,000) and points to Grayscale's withdrawal of Cardano, Polkadot, and Hedera ETFs – chains he has called 'zombie chains' for years.

🔮 Conclusion

Solana has the strongest fundamentals, largest user base, and highest revenue – at a fraction of Ethereum's market cap. For those who follow data instead of hype, the true winner is clear.

A Modern Tribute to a Legendary Icon

This video introduces the Mark Phillip Gambala Marzen GT, a modern reinterpretation of the legendary Porsche 959. It's built because Porsche itself isn't currently making a supercar – leaving room for others to step in.

Exterior Changes: More Than Just a Lowered Marzen

• Carbon fiber body: Only the doors and roof are shared with the Marzen; the rest is bespoke.
• Design details: Center fuel filler cap (like classic race Porsches), large air intakes, prominent roof scoop, pop-up fins at the front (inspired by the AMG One), and a 959-style rear wing with airbrake function.
• Practical upgrades: Regular door handles instead of electric pop-outs, more aggressive diffuser, and a quad exhaust from Arapovich.
• Weight and power: Lighter than the off-road Marzen, with 830 hp (standard) or optional 900 hp via a Ruf tuning package.

Interior: From 911 to True Supercar

• Completely new cockpit: A striking, raised center console (reminiscent of Carrera GT or 918 Spyder) with a numbered plaque.
• Carrera GT gear lever: The shifter is borrowed from the Carrera GT, even though it's still a PDK transmission.
• Tech upgrades: GT3 RS paddle shifters, Sport Plus mode activates the pop-up fins, and analog tachometer returns (based on the 992 Gen1 Turbo S).

Pricing & Availability: An Exclusive Collectible

• Only 30 units will be built, plus 40 Marzens, totaling 70 cars – a tribute to Uwe Gambala's 70th birthday.
• Price is €770,000 (net, plus options and a donor car), totaling around one million euros.

Competition & Outlook

• The Marzen GT competes with other 911-based supercars like KAMM 9X9, RML GTH, or Tutil GT1.
• Mark Phillip Gambala hints at more road-focused models in the pipeline.

Conclusion: The Marzen GT is a successful, modern homage to the Porsche 959 – with impressive performance, thoughtful design, and an interior that stands out from the standard 911.

Current Market Situation

• Bitcoin is trading around $64,000–$65,000.
• The analyst signals that “crunch time” is approaching – a decisive phase that will determine the next major move.

Historical Patterns and Cycle Analysis

• In midterm years (e.g., 2018, 2022), Bitcoin typically forms a summer low, followed by drying volatility during July–September.
• This is usually followed by a final sell-off in late autumn (October–December), which paves the way for the next bull market.
• The analyst expects a similar pattern: summer lows have already occurred (February and late June/early July), now a sideways phase, then the final drop.
• October is the most likely month for the ultimate bottom, but September or December are also possible.

On-Chain Indicators and Social Sentiment

• The MVRV Z-Score has not yet dropped below zero – a typical prerequisite for a final bottom.
• Social interest is as low as in August 2018 (0.2), a time when crypto felt “dead” but marked the turning point.
• Many believe the cryptoverse is dying – exactly the sentiment that preceded previous bull runs.

Outlook and Recommendations

• Crunch time means a decision between breakout or breakdown is imminent. The analyst leans toward another sell-off.
• He warns against complacency, even though $60K seems like a reasonable price.
• The ITC conference in November (20–22) is purposefully scheduled after the expected event.
• He advises securing discounted tickets before September 1st and staying alert to market moves.

Why Strategy (MicroStrategy) Is Now Selling Bitcoin

• Michael Saylor long preached “Never sell your Bitcoin” – yet his company Strategy has sold over 5,250 BTC in 2025 to meet fixed dividend obligations on preferred shares.

The Debt Trap: Perpetual Preferreds

• Strategy has five perpetual preferred stocks (e.g., Strike, Stretch) that pay high monthly cash dividends – totaling $1.2–1.7 billion per year.
• Stretch (STRC) has a ratchet clause: if the price falls below $95, the dividend rate automatically increases. Currently at 12 %, the price is $89 – far below par value of $100.
• In Q2 2025, Strategy paid $400 million in dividends but generated only $122 million in software revenue. The gap is filled by selling Bitcoin and issuing new shares.

The Vicious Cycle: Equity Issuance & Bitcoin Sales

• Previously, Strategy funded Bitcoin purchases by issuing shares at a high premium (MNAV > 3). But the premium has dropped to 0.68 – below the net asset value of the Bitcoin.
• Despite promising not to issue shares below 2.5× MNAV, the company has sold $14.3 billion in new shares – and liquidated Bitcoin to pay dividends and fund Stretch buybacks.

Not an Isolated Case: Other Treasury Firms Under Pressure

• Metaplanet (Tokyo) trades at 0.72× MNAV, Semilar Scientific was delisted, Satsuma liquidated all its Bitcoin, Bitdeer pivoted to AI.
• Bloomberg recorded a median decline of 43 % for digital asset treasury stocks – while Bitcoin itself fell only 27 %.

Is Strategy Bankrupt? No – but Structurally Strained

• The dollar reserve stands at $4 billion (covers ~2 years of dividends). Total debt fell 18 % to $6.7 billion.
• Analysts (Citi, Barclays) lowered price targets but see no bankruptcy risk. A potential MSCI index exclusion (37 % probability) could trigger forced selling.

Bottom Line: Bitcoin Is Stable, the Treasury Model Is Not

• Bitcoin itself has no coupons, no maturities – only the corporate structure with fixed cash obligations creates selling pressure.
• Saylor defends himself: Strategy is not his personal wallet – he has never sold. The thesis that a company is a better way to own Bitcoin than owning it directly is currently being tested.

Overview

• Otis, Kone, and Schindler are defensive elevator stocks benefiting more from servicing than new installations.
• The market grows 2.9% annually and could double over the next decade.

Otis (OTIS)

• Stock down 40% from its peak 1.5 years ago.
• P/E ratio: 19, Dividend yield: 2.48%, Market cap: $28 billion.
• Business model: Servicing 2.5 million elevators and escalators is the core, providing stable cash flows.
• Challenges: High debt from spin-off, negative equity, and weak new equipment sales in China.
• Financial health: Adjusted free cash flow of $1.5 billion, share buybacks of $800 million.
• Valuation: Intrinsic value at $43 (assuming 6% dividend growth); current price is higher. A margin of safety appears only at $30–35 (50% drop).
• Shareholder yield: Total yield of ~5% (2.5% dividend + 3% buyback yield).

Kone and Schindler

• Kone: Better stock performance, focus on dividends (no massive buybacks). Solid balance sheet (near-zero debt). Adjusted free cash flow close to $2 billion.
• Schindler: Swiss company with confirmed guidance. Valuation similar to Kone.
• Common trends: Digitalization, connectivity, and modernization reduce maintenance costs and boost efficiency.
• Competition: Otis is market leader, followed by Kone and Schindler (oligopoly).

Conclusion

• Strengths: Stable, predictable cash flows, oligopolistic structure, growth tailwinds from urbanization in Asia.
• Weaknesses: High valuations in current market, insufficient margin of safety for value investors.
• Recommendation: Monitor these stocks; if prices drop (e.g., Otis to $30–35), they become attractive entry points.
• For patient investors: These defensive stocks offer dividend growth – but only at the right price.

Introduction

• Dr. Fei-Fei Li, a pioneer in AI and computer vision, discusses with Andrew Huberman the intersection of neuroscience and artificial intelligence.
• The goal: AI as a tool to enrich humanity – not a threat but a partner.

Vision as a Cornerstone of Intelligence

• Evolution: Sight (540 million years ago) triggered the Cambrian explosion – central to nervous system development.
• AI recreation: Neural networks were inspired by the hierarchical structure of the visual cortex (Hubel & Wiesel).
• Data revolution: The ImageNet project (15 million images) enabled the 2012 breakthrough (combining neural networks, big data, and GPU computing).
• Current performance: AI recognizes objects better than humans (error rate below 4%), but learns from massive datasets – unlike the human brain, which generalizes from few examples.

Creativity and Intuition – AI's Limits

• Pattern recognition vs. true creativity: AI can combine internet data in novel ways (e.g., AlphaGo's Move 37), but deep, personal creativity (Picasso's unspoken thoughts) remains inaccessible.
• Intuition: Relies on non-digitized body and emotional experiences – AI lacks the sensory access.
• Future developments: Wearables (brainwaves) might someday capture even these deep states – user agency remains essential.

AI in Medicine and Science

• Success story: Huberman used AI to distinguish vertigo from low blood pressure – faster and cheaper than a specialist visit.
• Surgical collaboration: Da Vinci robot in liver surgery (Dr. Li's father) – 10x less blood loss; yet current data is insufficient for fully autonomous surgery (too many variables).
• Scientific discovery: AI can synthesize interdisciplinary knowledge (e.g., olfaction for vision experts) and generate new hypotheses.

Education and the Next Generation

• Risk: Passive consumption (doom-scrolling) undermines agency and learning motivation – the greatest danger.
• Opportunity: AI as a learning companion (e.g., organic chemistry) – students can ask deeper questions and understand better.
• Teachers and parents: Forgotten by industry – they need support, training, and respect, not just warnings or utopias.
• Hope: Children are curious and adaptable; society should trust them and give them tools for independent learning.

Embodiment and Robotics (World Labs)

• Next step: Spatial intelligence – generating 3D/4D worlds from text or sketches (e.g., for architecture, robot training, entertainment).
• Everyday robotics: Caregiving (elderly), disaster response (firefighting), relief for nurses – physical help without emotional replacement.
• Design: Robots should be soft, trustworthy, and human-centered (example: Baymax).
• Societal agency: Not just companies, but all stakeholders must co-shape the future.

Conclusion

• Dr. Li is an optimist: The historical arc of humanity shows progress despite setbacks.
• Core message: AI should empower people (agency), not replace them. Education, ethics, and open dialogue are the keys.