@bgurley @martin_casado Ok. Warning, this will be long, and interrupted by a flight.
@bgurley @martin_casado 1) Cultural factors: When I was growing up in the 90s, there was significant uncertainty in the labor market, and one way to achieve economic security was seeking a government job. In many European countries, running a limited liability construct into insolvency effectively...
@bgurley @martin_casado ...bans you from running another one in the foreseeable future. The mentality of "start a company in your 20s, and if you fail, you can either try again or get a job" wasn't a thing. So we are operating from a risk-averse base, due to a labor market with then-sluggish...
@bgurley @martin_casado ...job creation and strong incumbent effects.
@bgurley @martin_casado 2) A terrifyingly fragmented market, along legal, linguistic, and cultural lines. Imagine every US state had its own language, defense budget, legal system, tax system, culture, employment law etc. - in the US, you build a product and you tap into a market of 340m people.
@bgurley @martin_casado The biggest market in Europe is Germany at 80m, not even a quarter of the size. Then 60m for France (65m), Italy (59m), Spain (47m), and then things fragment into a long tail. By the time you hit 340m customers, you're operating in 9-10 countries.
@bgurley @martin_casado 3) Equally fragmented capital markets that are individually much smaller. Take the US stock market and cut it into 10+ pieces. This has knock-on effects for IPOs: IPOs, when they happen, tend to be much smaller.
Raising large amounts of capital is difficult, but big wins are...
@bgurley @martin_casado ... smaller. This has terrible knock-on effects all the way down to seedstage VCs: If the power law home run you're angling for is 1/10th the size of the home run in the US, early stage investors need to be way more risk averse. You can see this even today where...
@bgurley @martin_casado ... most European VC funds will offer less money at worse terms than their US counterparts. It was *much* worse in 2006-2007, when the Samwers were almost the only game in town for VC in the EU.
@bgurley @martin_casado 4) The absence of a DARPA to shoulder fundamental research risks in technology. Different stages of r&d require different investors. The government is in the strange situation that they can indirectly benefit from investments without having an ownership stake because it ...
@bgurley @martin_casado ... gets to tax GDP. That means at the extremely high risk end of R&D, fundamental research, it has a bit of a home run advantage. How do you fund fundamental R&D without it devolving into scholasticism? Interestingly, the most basic test ("can I use this to cause some damage")..
@bgurley @martin_casado ...is already helpful. Europe's defense sector has never since WW2 grasped it's role in advancing technology, and it's terribly fragmented, underfunded, and can't du much research. DARPA has financed the early-stage development of many enabling technologies. Having a ...
@bgurley @martin_casado ... guaranteed customer for high risk research has enabled better and higher risk-taking, and had large downstream effects.
@bgurley @martin_casado 5) Terrible legislation with regards to employee stock options.
People talk about how many big companies in Europe are family-owned as if that is something good. It's also a symptom of legal systems that make it terribly difficult to give lots of equity to early employees.
@bgurley @martin_casado 6) The EU construct where the EU gives a directive and each country implements it's own flavor is worst-case for legal complexity. Imagine if every state got to reimplement its own flavor of each federal law.
@bgurley @martin_casado 7) Founder Brain Drain. Why would an ambitious founder not go to where the markets are bigger, capital is easier to raise on better terms, and incentivizing early employees is easier?
@bgurley @martin_casado 8) Ecosystem effects permit risk-taking by employees. SV has such strong demand for talent that an employee can "take risks" on early stage startups because the next job is easy to get. If you live in a place with just 1-2 big employers, leaving with intent to return is riskier.
@bgurley @martin_casado (short break, to be continued in 2h when I land)
@bgurley @martin_casado Inflight wifi! 9) Network effects and path dependence. The fragmentation of the market led to smaller players in search and ads that then sold to larger US-based players. Without the deep revenue streams, no European player had the capital or expertise to go into cloud.
@bgurley @martin_casado As a result, there is no European player with enough compute, or datasets, or capital to effectively compete in cloud or AI. China has homegrown players, even Russia has to some extent, Europe's closest équivalent are OVH and Hetzner, which sell on price, not on higher-level...
@bgurley @martin_casado ...services.
10) GDPR after effects: EUparl saw that in situations where US states are fragmented they can act as a standards body, and there's a weird effect of "if we cannot be relevant through tech, we can still be relevant through shaping the legal landscape", and that's ...
@bgurley @martin_casado ... what leads to this terrible idea of "Europe as regulatory superpower", where it is more important for members of EUparl to have done "something" than having done "something right" - a mentality that seems to prefer bad regulation over no regulation, when good ...
@bgurley @martin_casado .. regulation would be needed. GDPR led to higher market concentration in Ads, which arguably undermines privacy in a different way, and it's imposed huge compliance and convenience cost on everybody. But in EUparl it's celebrated as success, because hey, for once...
@bgurley @martin_casado ... Europe was relevant (even if net effects are negative).
@bgurley @martin_casado 11) pervasive shortsightedness among EU national legislators, undermining the single market and passing poor laws with negative side effects for startup and capital formation. The best example is Germans "exit tax": Imagine you are an Angel Investor in the US but if you move...
@bgurley @martin_casado ... out of state it triggers immediate cap gains on all your illiquid holdings/Angel Investments at the valuation of the last round. It essentially means you can't angel invest if you don't know if you'll have to move in the next 8-10 years because you don't know if you can ...
@bgurley @martin_casado ...afford the tax bill. It's hair-raisingly insane, and likely illegal under EU rules, but who wants to be first and fight the German IRS in European court?
@bgurley @martin_casado Ok, I think I have exhausted my immediate list of reasons for the moment. I'll add more as I remember more :-)
@bgurley @martin_casado I'll possibly add a thread about what measures would be necessary to partially ameliorate the problems later.
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I wish I had more time to chime into the AI doom debate, but here a very quick thread:
1) The one thing all AI doomers seem to assume is that almost all engineering problems can be solved by thinking, vs. experimentation. 2) Humanity has seen multiple individuals of ...
... vastly higher IQ than other humans. We're 8bn people, IQ stddev is 15, there's bound to be a few people of IQ 175-190. None of them have proven to be particularly dangerous. Superhuman AI does not mean infinite AI.
3) There's no reason to believe the "intelligence explosion" they seem to believe in can actually happen. Pretty much all processes are self-limiting; it's hard to make deliberate exponential chain reactions happen. 4) For all we know, Orcas may be vastly superhuman, ...
One thing I have learnt over the last years is that - while I am technically pretty solid - I am surprisingly good at *product*. It's a strange thing to realize as a pretty technical mathematician.
This thread describes what I consider "common-sense product design", because ...
... it turns out that common sense is not all that common.
Ok, so you want to design a good product. Here are the steps:
1. Create a target demographic / user and buyer persona. This comes absolutely first. 2. Identify a few people that match this description. Get to know them.
3. Listen to them, and try to elicit things that make their lives bad, and their incentive structures. Let. Them. Talk. 4. Think about what they complained about, and how you could make their lives better. Come up with a hypothesis. 5. Talk with them about your hypothesis.
There's a lot of microservices hate, but there are also terrible balls of yarn. It reminds me that many orgs are not good at engineering.
A few rules that have served me well:
1) architect your software, have a diagram.
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2) centralize responsibilities in the diagram. 3) not every box in that diagram needs to be a service, some boxes should be shared libraries 4) conversely, not every box should be a shared library
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5) There are two primary reasons to make a box a service: you need parallelism for a box that one machine cannot do, or the box is used by many other boxes and manages state. (Plz reply if you know other good reasons, my list is incomplete).
A thread about family culture and how value systems survive and get transmitted implicitly:
My parents were deeply pacifist, through personal experience of WW2. They were involved in the creation of the German Green party, which had roots in the peace movement.
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At the same time, there was a deep undercurrent of duty, self-sacrifice, serving the state/the greater good, "critical obedience" (kritischer Gehorsam), and holding oneself to extremely (perhaps inhumanely) high standards of personal integrity.
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As a child, you are immersed in these things, and they are never actively spoken about, so you absorb without noticing.
As a teenager, casting around for value systems for myself, I read the Hagakure, and it resonated deeply with me. I adopted many parts from it as ...
After experimenting with stable diffusion a little bit, I was trying to make sense of the things I observed, and spend a few minutes spellunking around in the 12m images that one can explore at laion-aesthetic.datasette.io/laion-aestheti….
Observation thread:
1) I was puzzled why particular artists that are (in my eyes) relatively low profile generate significant improvements in output quality when added to the prompt, while other prominent artists in the prompt generate poor results. The training set explains some of it: The term ...
... "manara" appears in 38 out of 12m pictures, leading us to estimate that there's about 1900 such pictures in the training set, wheras the term "artgerm" appears in 967 pictures, so an estimated 48k pictures were in the training set. Adding "artgerm" to the prompt then ...
Looking back at my teens, I was a stupidly ambitious kid. (Extremely) privately religious, I included the wish to become one of the best reverse engineers and one of the best hackers in my evening prayer.
The thing I really did not have in my radar then was that I am prone to...
...dramatic shifts in interests, even though I had already undergone the shift from "I want to be a comic book artist or animator for hand-drawn animation" to the above.
I do wonder how many kids dream of becoming "among the best" in something; it must be a very nontrivial fraction.
Of my teen dreams/ambitions, I feel I've reached 2 out if 4, I've lost interest in number 3, and number 4 is still up in the air.