Category: Daily


  • The common refrain in policy circles is deafening: “We must make it easier to start and run a company.” Deregulation, a simpler tax system, etc. is all necessary…

    But is that really solving anything?

    I’m not convinced. If you look back at the fastest growth periods of the USA, China, or Germany, they weren’t particularly famous for “super simple company formation” or the ease of daily operations. In fact, despite modern bureaucracy, the internet has arguably made the logistics easier today than ever before.

    We are optimizing for the wrong variable. What we actually need is a high tolerance for risk and failure. We need engineers and scientists starting companies—not MBAs pursuing PE-style acquisitions or internet entrepreneurs building copycat commoditized products.

    And because of that, I think one of the greatest growth periods for Germany could be right ahead of us.

    Why am I (very) carefully optimistic about Germany over the next 20 years?

    For the past two decades, massive talent (and intellectual property) has been locked up in legacy Mittelstand giants – Bosch, ZF, Siemens, VW, etc. These companies employ engineers, inventors, and extremely smart people. However, under current employment contracts and comfort levels, these individuals would be “stupid” to quit, no matter how stagnated the leadership becomes.

    The more these giants struggle, the more innovation Germany will produce.

    If you ask me, the problem is a big part company leadership (within these giants but generally overall in the German Mittelstand) and real talent being trapped in these big companies with their IP being buried and never commercialized.

    We cannot ignore taxation. A common thread during historical high-growth periods is very low or zero social security “taxes.” These social systems are almost always built after a country gets rich.

    Conversely, high-growth periods feature very low taxation on equity upside. Today, in both Germany and the USA, we have the opposite.

    What is the result?

    • Founders optimize for “get rich quick” schemes.
    • We build lifestyle cash-flow companies and predictable service based businesses
    • We do not build 50-year conglomerates that employ 100,000 people and invent new industries.

    It is pathetic that real estate is now considered the best “investment” – which basically mean returns guaranteed from regulatory scarcity.

    I’m not entirely optimistic, however, because we face endless other problems across the entire West (USA and Germany alike):

    1. Demographic Collapse: Nobody is having babies.
    2. Nostalgic Leadership: Leaders like Trump and Merz seem to work toward the preservation of long-gone greatness rather than future innovation
    3. Avoiding Hard Problems: We don’t attempt to solve the hard physics problems anymore.
    4. Cultural Punishment: As Eric Weinstein notes, we have a culture that punishes anyone who actually tries to solve complex issues.

    Despite all the optimism for the United States. If we are fully honest: What is actually being built in Silicon Valley? How many “Zero to One” companies exist that aren’t total frauds? Even in Thiel’s Founders Fund portfolio, the list is shorter than we’d like to admit. In Germany, that number is hopefully not zero, but who knows?

    Returning to my perspective on Germany: I fear the best path forward – besides removing red tape – is actually allowing all zombie companies to die and all Mittelstand giants to struggle, restructure, and lay off people.

    If I were Chancellor, I would use the new debt capacity in a radical way:

    1. Radical Labor Reform + UBI

    Change labor laws so that ANY company can lay off whomever they want without any justification immediately. To balance this, the state provides an immediate Universal Basic Income to anyone affected (or perhaps, to everyone).

    2. Aggressive Deregulation

    Change regulatory bureaucracy so that it is easier to invest, raise capital, and distribute equity in Germany than in any other nation on Earth.

    3. Unleash the Drive

    This mix would release massive talent that suddenly has an inherent DRIVE to be productive. They would start companies or join existing or newly started ventures that actually commercialize IP rather than letting it gather dust on a corporate shelf.

    4. The Demographic Push

    And while doing so? I’d make it socially unacceptable to not have babies. Placard every public ad space with sweet baby photos while giving influencers with 3+ babies massive tax benefits.

    One is for sure: “business as usual” is no longer an option.

  • The biggest risk to Bitcoin is people not using Bitcoin. If nobody is using Bitcoin for daily transactions, then miners have no continued long-term incentive to keep mining. As soon a different proof of work cryptocurrency starts gaining enormous traction for actual real-world day-to-day peer-to-peer transactions on the scale of Visa and Mastercard, then miners will switch instantly.

    The risk is real because BTC is currently not used in any mentionable degree for on-chain payments. Most transaction are either custodial or speculative holding. Bitcoin turned into a settlement layer for few large-value transactions and what is described as store of “value”.

    But Bitcoin needs daily transactions in order to make long-term financial sense to miners. Miners invest massive compute power for mining Bitcoins, and by doing so they secure the network. For this effort, they are currently rewarded 3.125 BTC per block or 450 BTC per day. The problem is that this effort – and thus Bitcoin’s security – is massively “subsidized” by block rewards (newly minted BTC). Theoretically, miners would also be rewarded by transaction fee revenue. But transaction fees were only 3.53 BTC over the past 24 hours. In other words, <1% of miner revenue is currently funded through transactions and >99% is funded through block subsidies.

    The next halvings in 2028 and 2032 will further reduce subsidy issuance by 50% each time. This puts pressure on Bitcoin because in order for miners to continue mining, the BTC price must appreciate substantially and/or on-chain demand for transactions must rise significantly in order to offset these subsidy halvings. The only way for this to happen is either the mass-adoption of a layer 2 solution like Lightning or Ark and/or that Bitcoin captures 1-5% of the global payment markets in interbank settlements, ETFs, and nation states. This would allow fees to hit 20-50% and thereby offset the 2032 subsidy halving. The only alternative – as long transactions and thereby transaction fees stagnate – is that BTC is crossing >$1M by 2032.

    Leaving speculation aside, either way, by 2140 Bitcoin’s security MUST come from transaction fees alone. If transaction volume stays low then long before 2140 the fee revenue will be inadequate to maintain hash power to secure the network against 51% attacks.

    Bitcoin miners use ASICs, which are specialized chips for computing SHA-256 hashes. Miners already practice “hash rate migration” which means they point their ASICs at whatever SHA-256 blockchain is most profitable to mine at any given moment. This is the rare exception but – in other words – if any other SHA-256 coin genuinely became more valuable (for example by actually being used as a global on-chain P2P cash system) and thereby more profitable to mine than Bitcoin, that hardware will absolutely migrate to whatever that coin will be.

    My Conclusio: Technically, BTC is too limited to be functional as a P2P cash system, and thus Bitcoin in its current form can not capture the global P2P transaction market. Ergo: the most important use case for cryptocurrencies – that of a global mass-adopted day-to-day P2P cash system – is not yet claimed by any cryptocurrency in the market.

  • If you exclude AI-driven investments, then the US economy mirrors Germany’s near-stagnation, with near zero GDP growth in the first half of 2025. More than 90% of US GDP growth stems from AI and related sectors. Large parts of >$375B AI investments scream “bubble”. Only a smaller percentage of companies and labs have a unique MOAT. Should it burst, due to whatever reason, the US will face a strong recession.

    The AI bubble could burst from two opposite extremes: exponential technological progress or the lack thereof. In case of exponential technological progress; imagine post-LLM architectures slashing compute needs by 100x (i.e., Mamba). This will strand GPU-heavy datacenters. It will make >$2.9T of mostly debt-financed datacenter investments obsolete. On the other side: If LLMs plateau without ROI, the hype will fade like dot-com, tanking valuations despite tangible capex.

    Whatever the case, if it pops, the US could spiral into a vicious reinforcing cycle: recession → layoffs/unemployment → consumer pullback → deflationary spiral (or stagflation if supply shocks hit) → political extremism. This reminds me of pre-WW2 Europe. The US must diversify growth beyond AI now.

    What can Germany learn from this? The obvious is to accelerate AI adoption and sovereignty. Just as the US without AI stagnates, Germany with AI could grow again. At the same time, imitating the US is a fragile lifeline. Perhaps the smartest idea is to reject the hype cycle altogether. Let Berlin based AI startups do their thing, rent US based AI software, and focus all energy on high-tech breakthroughs in the decentralized Mittelstand.

  • Opportunities

    Today, the largest opportunities arise from people living in the past. Obvious trends, like the exponential advancement of solar PV or electric vehicles, are irrationally badmouthed. There seems to be a longing for bringing back nuclear power, for bringing back manufacturing, for bringing back workers into offices, for bringing back military dominance. People still believe in college degrees, in standardized testing, credentialism in hiring, pension funds, the list goes on. Politicians try to compete with China, want to bring back supply chains, want to revive 40+h workweeks originating from the industrial revolution. This conservative nostalgia seems to be a large trend; or perhaps it has always been.

    What has worked 20 years ago will not miraculously come back. Politicians are selling “the good old days” to people not aware of current reality – of how incredibly fast exponential technologies and societal changes are evolving.

    The opportunities of today and the future are not in chasing the resurrection of the past but in identifying which underlying needs from those eras remain unmet in modern forms.

    For example: People don’t want manufacturing jobs back. They also don’t want to out-manufacture China. Who really wants to labor in a factory? Who wants to work 10 hours a day on a farm? The answer is: nobody really. What people do want is economic security and a trade balance that doesn’t feel like losing. They want protection from foreign economic coercion, and the dignity of creating tangible products the world needs.

    Another example: People don’t want coal plants or nuclear plants back. Who really wants polluted air or nuclear waste in their neighborhood? Again, the answer is: nobody really. What people actually want is affordable energy independence – which means electricity too cheap to meter – and a reliable baseload and a reliable grid during crises and days where the sun isn’t shining.

    The pattern is always the same: the surface demand is to reverse time; it is nostalgia. The underlying need is mostly emotional and social: security, dignity, control, identity.

    The opportunity is satisfying these needs through forward-looking solutions that people haven’t yet recognized as substitutes. It is in building for a world as it is, not as people wish it were. It is in accepting current reality the fastest and having the longest runway to build what’s actually next.

  • This is AGI

    I say that current AI is AGI. It is not obvious yet, because we haven’t yet connected very complex and fragmented software and data environments – and for R&D to turn into real-world change is a multi-year process anyway.

    Even if we stopped and freeze AI development here and now, we’d only realize that we indeed have AGI 2 or 3 years down the road. In some niches it will be faster (software or law) in others slower (complex logistics).

    However, AI development is not stopping here and now. It continues to improve – I say exponentially. Even if you are more conservative, then the linear growth still has undoubtedly a large rate of change.

    Today (!), we have AI models that evolved from barely completing sentences to writing code that ships to production, we have AI doing PhD-level research, and achieved gold medal-level performance on the International Math Olympiad. AI is solving medical problems that baffle experts.

    Again – what is currently mostly manually prompted work in long chat conversations will soon develop into agents that can do almost all knowledge work fully autonomously.

    I’m not talking about AI as an assistant, as a co-pilot. It will just straight up finish the work while you are napping on the beach.

    The difference between the GPT-3 model and today’s models – whether Grok 4, Gemini 2.5 Pro, or ChatGPT o4 – is like comparing a Nokia 1011 to an iPhone 16 Pro. We went from purely text based chats to multimodal understanding – models that can see, hear, and reason across domains simultaneously. AI is starting to genuinely understand context and nuance in ways that feels human.

    The next phase is not purely larger AI models, but models that learn continuously. They can remember you, plan and execute multistep tasks over days, weeks, or months.

    An AI system that perfectly remembers, understands context, who never sleeps, and gets smarter every day. This is being built today in AI labs around the globe.

    We have AGI today, and it is only a matter of time for us to arrive at superintelligent AI systems. Is it 2 years? 3 years? 4 years? 5 years? Irrelevant. Whether it is 1 year or 10 years, the implications are the same: everything is going to change forever.

  • Every time I wish the minds I admire would open up and show the full depth of their thoughts, ideas, and experiences, I realize – I’m doing the same thing by staying too silent online.

    The idols I look up to – for example Ido Portal, Bruce Poon Tip, Dr. Nun Amen-Ra, my Sifus, countless peers – are all masters of mind and body in private but leave little or no footprints online. The wisdom is real, yet it’s undocumented and the world barely sees it.

  • Marathon running is socially encouraged orthopedic self-harm disguised as virtue. 42 km of joint erosion, cardiac overreach, and dopamine-chasing disguised as discipline.

    Before you commit to run a marathon, take a moment and pause. Ask yourself: Why is running a marathon my goal?

    Odds are, you’re either unconsciously copying someone else’s coping mechanism or seeking social reward and Instagram likes through performative suffering – and calling it “fitness”. That’s not discipline. That’s mimesis. Read Girard. You’re not chasing health but someone else’s pain prescription, hoping it will fix your own.

    And if you really need to suffer publicly to feel alive, maybe it’s not your body that needs training, but your fear of sitting still without applause.

    If the idea of running a marathon truly comes from your heart, then you’d run 42 km on a Tuesday at dawn with no witness. If you need a start line, a medal, a round of applause, and pictures for social media, then you are suffering through a socially accepted identity crisis.

    Let’s get physiological. Marathons attack your hypothalamic-pituitary-adrenal axis, suppress your immune system, and can induce irreversible joint damage – knees, hips, ankles, worn one kilometer at a time. Cardiac scarring is a real risk. Cortisol floods. Lymphocyte counts crash. This really isn’t health but a ritualized system failure.

    Discipline is not a spectacle. Movement is not masochism. Read Body by Science (Doug McGuff & John Little). Explore movement systems like Ido Portal’s (or try Kung Fu). Train for capacity, not applause.

    Stop running from the void. It keeps up.

  • How We Use AI

    Whether current AI systems qualify as AGI is beside the point. Five years ago, if you had asked me to define AGI, my answer would’ve closely described what GPT o3 or Gemini 2.5 Pro are now. So if this is AGI, then where are the breakthroughs?

    Valid question. The answer: we are the bottleneck.

    The limitation is no longer the model. The real limitation is that we haven’t really figured out how to use LLMs properly. Even if AI development froze today, and all we have available are o3 and Gemini 2.5 Pro level LLMs, then we would still see a decade of profound disruptions and innovations across entire industries.

    Most users treat AI like Google, a friend, a mentor, or a novelty. Few understand prompting. Those who do don’t even scratch the surface of what is possible when you give AI the right prompt, the relevant context, and access to specific or perhaps proprietary data.

    Worse, we are not augmenting human intelligence, we are outsourcing it. TikTokified workflows, mindless automation, and prompt-template copy-paste culture are commoditizing subpar outcomes. Instead of expanding our minds, we’re paralyzing them.

    The real potential lies hidden in tandem cognition. Reimagining how we work with AI systems in a way that ensures our uniquely human traits (intuition, creativity, vision, …) aren’t ignored, but amplified. Without this shift, outputs will commoditize (across humans and organizations).

    We urgently need two things: first a methodology for extracting maximum value from LLMs and second a philosophy for not replacing our human genius, but empowering it.

    The future is not AI versus human. It is human with AI, at full capacity. Currently, the focus is on maximum capacity for AI compute. Now it’s time we focus on maximum capacity for human genius.

  • NOW

    The future is an illusion. Just as is the past.

    There is only now.

    Everything that is truly meaningful is happening now.

    You shape the future by your actions now, by your thoughts now, by your love now.

    Any moment is the future.

    There is only now.

  • Most products and technologies became commoditized. I believe this is mostly due to a lack of creativity.

    When was the last time you saw a product that totally caught you off-guard in absolute amazement?

    Nobody dares to create something uniquely NEW.
    Commoditization happens because everyone is just focused on incremental improvements, calling it proudly innovation. It is a delusion.

    Creativity is not listening to customers. It is creating something completely new that your future customers don’t even know can even exist. It is possible in your imagination but impossible in their imagination.

    Vision, creativity, intuition.

    I 100% believe that listening to customers is a trap that leads to mediocrity. True innovation comes from ignoring the noise of customer feedback and daring to invent what they can’t yet imagine – yes, it’s risky, but the only way to avoid competition.