Author Archives: Hervé Lebret

Technology billionaires in 2013

In 2007, I had made the same exercise, i.e. extract from the Forbes billionaire list, the ones who had a link with technology. I found by accident the 2013 Forbes list, and did the same exercise. Again the USA dominates and the word is weak. Europe has 8 whereas the USA has 63…

What’s new from the 2007 Technology Billionaires is the new comers, the web2.0 winners from Facebook, LinkedIn, Twitter and Groupon, not to forget GoDaddy!

2013-new billionaires-sma
Top: the Facebook billionaires. Bottom: founders of Linkedin, Twitter, Groupon, GoDaddy and finally Laurene Powell Jobs.

Also, average age is 57 but Internet billionaires’ age is 46!

# Name Origin Company Field Wealth ($B) Age
2 Bill Gates USA Microsoft Software 67 57
5 Larry Ellison USA Oracle Software 43 68
19 Jeff Bezos USA Amazon.com Internet 25.2 49
20 Larry Page USA Google Internet 23 39
21 Sergey Brin USA Google Internet 22.8 39
49 Michael Dell USA Dell Hardware 15.3 48
51 Steve Ballmer USA Microsoft Software 15.2 56
53 Paul Allen USA Microsoft Software 15 60
66 Mark Zuckerberg USA Facebook Internet 13.3 28
94 Ernesto Bertarelli CH Merck Serono Biotech 11 47
98 Laurene Powell Jobs USA Apple Hardware 10.7 49
122 Hasso Plattner D SAP Software 8.9 69
123 Hansjoerg Wyss CH Synthes Medical devices 8.7 78
123 Pierre Omidyar USA Ebay Internet 8.7 45
138 Eric Schmidt USA Google Internet 8.2 57
145 Patrick Soon-Shiong USA Abraxis Pharmaceuticals 8 61
154 James Goodnight USA SAS Software 7.7 70
156 Klaus Tschira D SAP Software 7.5 72
179 Xavier Niel F Free Internet 6.6 45
182 Dietmar Hopp D SAP Software 6.5 72
262 David Duffield USA Peoplesoft Software 4.8 72
316 Gordon Moore USA Intel Hardware 4.1 84
353 Dustin Moskovitz USA Facebook Internet 3.8 28
353 John Sall USA SAS Software 3.8 64
363 Jeffrey Skoll USA Ebay Internet 3.7 48
376 Barbara P. Johnson USA Johnson & Johnson Medical devices 3.6 76
437 Reid Hoffman USA LinkedIn Internet 3.1 45
437 Alain Merieux F Biomerieux Pharmaceuticals 3.1 75
503 Ronda Stryker USA Stryker Corp. Medical devices 2.8 58
503 Andy v. Bechtolsheim USA/D Google Internet 2.8 57
527 John Doerr USA KPCB Venture capital 2.7 61
527 Elon Musk USA Tesla Motors Hardware 2.7 41
554 Marc Benioff USA Salesforce.com Software 2.6 48
554 Jack Dangermond USA ESRI Software 2.6 67
554 Phillip Frost USA Key Pharma, Ivax Pharmaceuticals 2.6 76
554 David Sun USA Kingston Technology Hardware 2.6 61
554 John Tu USA Kingston Technology Hardware 2.6 72
613 Mark Cuban USA Broadcast.com Internet 2.4 54
641 Ray Dolby USA Dolby Laboratories Hardware 2.3 80
641 Ralph Dommermuth D United Internet Internet 2.3 49
670 Michael Moritz USA Sequoia Venture capital 2.2 58
670 Eduardo Saverin USA/Bra Facebook Internet 2.2 30
736 Sean Parker USA Facebook Internet 2 33
785 Romesh T. Wadhwani USA Aspect Software 1.95 65
792 Meg Whitman USA Ebay Internet 1.9 56
831 Hans-Werner Hector D SAP Software 1.8 73
831 Thomas Siebel USA Siebel Software 1.8 60
882 David Filo USA Yahoo Internet 1.7 46
882 Henry Samueli USA Broadcom Hardware 1.7 58
882 David Cheriton USA/Can Google Internet 1.7 61
922 Kavitark Ram Shriram USA Google Venture capital 1.65 56
931 Craig McCaw USA McCaw Telecom Telecom 1.6 63
931 Pat Stryker USA Stryker Corp. Medical devices 1.6 56
931 Peter Thiel USA Paypal, Facebook Internet 1.6 45
965 Irwin Jacobs USA Qualcomm Hardware 1.55 79
974 Vinod Khosla USA KPCB, Khosla Venture capital 1.5 58
974 Bob Parsons USA Go Daddy Internet 1.5 62
974 Jerry Yang USA Yahoo Internet 1.5 44
1031 John Brown USA Stryker Corp. Medical devices 1.4 78
1031 Steve Case USA AOL Internet 1.4 54
1031 Henry Nicholas, III. USA Broadcom Hardware 1.4 53
1107 Mark Stevens USA Sequoia Venture capital 1.3 53
1107 Jon Stryker USA Stryker Corp. Medical devices 1.3 54
1107 Nicholas Woodman USA GoPro Hardware 1.3 37
1161 Graham Weston USA Rackspace Internet 1.25 49
1175 Jim Breyer USA Accel Venture capital 1.2 51
1175 Robert Duggan USA Computer Motion Medical devices 1.2 68
1268 James Clark USA Netscape Internet 1.1 68
1268 Jack Dorsey USA Twitter, Square Internet 1.1 36
1268 Eric Lefkofsky USA Groupon Internet 1.1 43
1342 John Morgridge USA Cisco Hardware 1 79

American Public Television PBS celebrates Silicon Valley

February 5th 2013 was a special day for PBS and Silicon Valley: 3 documentaries were shown one after the other. It was:

1- Silicon Valley on PBS American Experience “TV’s most watched history series”

AmericanExperience-PBS2013

2- Something Ventured, one of my favorite documentary on the topic. I mentioned already here: Something Ventured: a Great Movie and I show ti to my students as often as I can!

3- Steve Jobs, One Last Thing

SteveJobs-onelastthing

If you don’t want to buy it, here is is!

You can also read the interesting 3 PBS films on Silicon Valley by the San Francisco Chronicle.

I read a lot about SV. Now we probably live times when it’s time to watch videos.

After the Black Swan, Taleb strikes again with Antifragile

Antifragile, things that gain from disorder by Nassim Nicholas Taleb
Antifragile-Taleb

Here’s probably one of the toughest post I ever had to write and I am not sure it is a good one, even if the topic I am addressing is great and important. But it’s been a challenge to summarize what I learnt: Nicholas Nassim Taleb gives in this follow-up to the Black Swan a very interesting analysis of how the world can be less exposed to Black Swans, not by becoming more robust only, but by becoming antifragile, i.e. by benefiting from random events. His views include tensions between the individual and the groups, how distributed systems are more robust than centralized ones, how small unites are less fragile than big ones. This does not mean Taleb is against orgamizations, governments or laws as too little intervention induces totally messy situations. It is about putting the cursor at the right level. Switzerland represents for Taleb a good illustration of good state organizations with little central government, a lot of local responsibility. He has similar analogies for the work place, where he explains that an independent worker, who knows well his market, is less fragile to crises than big corporations and their employees. One way to make systems less fragile is to put some noise, some randomness which will stabilize them. This is well-known in science and also in social science. Just remember Athens was randomly nominating some of its leaders to avoid excess!

You can listen to Taleb here:

Now let me quote the author. These are notes only but for serious reviews, visit the author’s website, www.fooledbyrandomness.com/. First Taleb is, as usual, unfair but maybe less than in the Black Swan. Here is an example: “Academics (particularly in social science) seem to distrust each other, […] not to mention a level of envy I have almost never seen in business… My experience is that money and transactions purify relations; ideas and abstract matters like “recognition” and “credit” warp them, creating an atmosphere of perpetual rivalry. I grew to find people greedy for credentials nauseating, repulsive, and untrustworthy.” [Page 17] Taleb is right about envy and rivalry but wrong in saying it is worse in academia; I think it is universal! In politics for example. But when money is available, maybe rivalry counts less than where there is little.

Nassim Nicholas Taleb

Now a topic close to my activity: “This message from the ancients is vastly deeper than it seems. It contradicts modern methods and ideas of innovation and progress on many levels, as we tend to think that innovation comes from bureaucratic funding, through central planning, or by putting people through a Harvard Business School class by one Highly Decorated Professor of Innovation and Entrepreneurship (who never innovated anything) or hiring a consultant (who never innovated anything). This is a fallacy – note for now the disproportionate contribution of uneducated technicians and entrepreneurs to various technological leaps, from the Industrial Revolution to the emergence of Silicon Valley, and you will see what I mean.” [Page 42] [Extreme and unfair again, even if not fully wrong!]

“The antifragility of some comes necessarily at the expense of the fragility of others. In a system, the sacrifices of some units – fragile units, that is, or people – are often necessary for the well-being of other units or the whole. The fragility of every start-up is necessary for the economy to be antifragile, and that’s what makes, among other things, entrepreneurship work: the fragility of the individual entrepreneurs and their necessarily high failure rate”. [Page 65] What surprised me later is that Taleb shows that this is true of restaurants (not many succeed) as much as of high-tech start-ups. So it is not only about the uncertainty of new markets, but about uncertainty above all.

Mathematics of convexity

I have to admit Taleb is not easy to read. Not because it is complex (sometimes his ideas are pure common sense), but because it is dense with different even if consistent ideas. The book is divided in 25 chapters, but also in 7 books. In fact, Taleb insists on it, he might have written 7 different books! Even his mathematics is simple. His definition of convexity is a little strange though I found it interested (I teach convex optimization, and you might not know, it was the topic of my PhD!).

Jensen inequality is interesting [Pages 342, 227 – Jensen was an amateur mathematician!]– the convex transformation of a mean is less or equal than the mean after convex transformation. Again individual (concave, we die) vs. collective (convex, antifragile, benefits from individual failures). So risk taking is good for collectivity if with insurance mechanisms. Risk taking + insurance vs. speculation with no value added. An example of a short and deep idea: “Decision making is based on payoffs, not knowledge”. [Page 337]

“Simply, small probabilities are convex to errors of computation. One needs a parameter, called standard deviation, but uncertainty about standard deviation has the effect of making the small probabilities rise. Smaller and smaller probabilities require more precision in computation. In fact small probabilities are incomputable, even if one has the right model – which we of course don’t.” [Taleb fails to mention Poincare yet he quoted him in the Black Swan, but whatever.]

A visible tension between individual and collective interests

Quotes again: “What the economy, as a collective, wants [business school graduates] to do is not to survive, rather to take a lot, a lot of imprudent risks themselves and be blinded by the odds. Their respective industries improve from failure to failure. Natural and nature-like systems want some overconfidence on the part of the individual economic agents, i.e., the overestimation of their chances of success and underestimation of the risks of failure in their business, provided their failure does not impact others. In other words, they want local, but not global overconfidence”. […] In other words, some class of rash, even suicidal, risk taking is healthy for the economy – under the conditions that not all people take the same risks and that these risks remain small and localized. Now, by disrupting the model, as we will see, with bailouts, governments typically favor a certain class of firms that are large enough to require being saved in order to avoid contagion to other businesses. This is the opposite of healthy risk taking; it is transferring fragility from the collective to the unfit. […] Nietzsche’s famous expression “what does not kill me makes me stronger” can be easily implemented as meaning Mithridatization or Hormesis but it may also mean “what did not kill me did not make me stronger, but it spared me because I am stronger than others; but it killed others and the average population is now stronger because the weak are gone”. […] This visible tension between individual and collective interests is new in history. […] Some of the ideas about fitness and selection are not very comfortable to this author, which makes the writing of some sections rather painful – I detest the ruthlessness of selection, the inexorable disloyalty of Mother Nature. I detest the notion of improvement thanks to harm to others. As a humanist, I stand against the antifragility of systems at the expense of individuals, for if you follow the reasoning, this makes us humans individually irrelevant. ” [Pages 75-77]

A National Entrepreneur Day

“Compare the entrepreneurs to the bean-counting managers of companies who climb the ladder of hierarchy with hardly ever any real downside. Their cohort is rarely at risk. My dream – the solution – is that we would have a National Entrepreneur Day, with the following message: Most of you will fail, disrespected, impoverished, but we are grateful for the risks you are taking and the sacrifices you are making for the sake of the economic growth of the planet and pulling others out of poverty. You are the source of our antifragility. Our nation thanks you.” [Page 80]

Local distributed systems, randomness and modernity

“You never have a restaurant crisis. Why? Because it is composed of a lot of independent and competing small units that do not individually threaten the system and make it jump from one state to another. Randomness is distributed rather than concentrated.” [Page 98]

“Adding a certain number of randomly selected politicians to the process can improve the functioning of the parliamentary system.” [Page 104]

“Modernity is the humans’ large-scale domination of the environment, the systematic smoothing of the world’s jaggedness, and the stifling of volatility and stressors. We are going into a phase of modernity marked by the lobbyist, the very, very limited liability corporation, the MBA, sucker problems, secularization, the tax man, fear of the boss…” [Page 108]

“Iatrogenics means literally “caused by the healer”. Medical error still currently kills between three times (as accepted by doctors) and ten times as many people as car accidents in the United States, it is generally accepted that harm from doctors – not including risks from hospitals germs – accounts for more deaths than any single cancer. Iatrogenics is compounded by the “agency problem” which emerges when one party (the agent) has personal interested that are divorced from those of the one using his services (the principal). An agency problem is present with the stockbroker and medical doctor whose ultimate interest is their own checking account, not your financial and medical health.” [Pages 111-112]

Theories and intervention.

“Theories are super-fragile outside physics. The very designation “theory” is even upsetting. In social science, we should call these constructs “chimeras” rather than theories. [Now you understand why Taleb has many enemies.] A main source of the economic crisis started in 2007 in the Iatrogenics of the attempt by […] Alan Greenspan to iron out the “boom-bust” cycle which caused risks to go hide under the carpet. The most depressing part of the Greenspan story is that the fellow was a libertarian and seemingly convinced of the idea of leaving systems to their own devices; people can fool themselves endlessly. […] The argument is not against the notion of intervention; in fact I showed above that I am equally worried about under-intervention when it is truly necessary. […] We have a tendency to underestimate the role of randomness in human affairs. We need to avoid being blinded to the natural antifragility of systems, their ability to take care of themselves and fight our tendency to harm and fragilize them by not giving them a chance to do so. […] Alas, it has been hard for me to fit these ideas about fragility within the current US political discourse. The democratic side of the US spectrum favors hyper-intervention, unconditional regulation and large government, while the Republican side loves large corporations, unconditional deregulation and militarism, both are the same to me here. Let me simplify my take on intervention. To me it is mostly about having a systematic protocol to determine when to intervene and when to leave systems alone. And we may need to intervene to control the iatrogenics of modernity – particularly the large-scale harm to the environment and the concentration of potential (though not yet manifested) damage, the kind of thing we only notice when it is too late. The ideas advanced here are not political, but risk-management based. I do not have a political affiliation or allegiance to a specific party; rather, I am introducing the idea of harm and fragility into the vocabulary so we can formulate appropriate policies to ensure we don’t end up blowing up the planet and ourselves.” [Pages 116-118]

“To conclude, the best way to mitigate interventionism is to ration the supply of information. The more data you get, the less you know.” [Page 128]

“Political and economic “tail” events are unpredictable and their probabilities are not scientifically measurable.” [Page 133]

The barbell strategy and optionality

“The Barbell strategy is a way to achieve anti-fragility, by decreasing downside rather than increasing upside, by lowering exposure to negative Black Swans. So just as Stoicism is the domestication, not the elimination, of emotions, so is the barbell a domestication, not the elimination, of uncertainty.” [Page 159] “It is a combination of two extremes, one safe and one speculative, deemed more robust than a monomodal strategy. In biological systems, the equivalent of marrying an accountant and having an occasional fling with a rock star; for a writer, getting a stable sinecure and writing without the pressures of the market. Even trial and error are a form of barbell.” [Glossary page 428]

“The strength of the computer entrepreneur Steve Jobs was precisely in distrusting market research and focus groups – those based on asking people what they want – and following his own imagination, his modus was that people don’t know what they want until you provide them with it.” [Page 171]

“America’s asset is simply risk taking and the use of optionality, the remarkable ability to engage in rational forms of trial and error, with no comparative shame in failing, starting again and repeating failure. In modern Japan, by contrast, shame comes, with failure, which causes people to hide risks under the rug, financial or nuclear.”

“Nature does a California-style “fail early” – it has an option and uses it. Nature understands optionality effects better than humans. […] The idea is voiced by Steve Jobs in a famous speech: “Stay hungry, stay foolish.” He probably meant “Be crazy but retain the rationality of choosing the upper bound when you see it.” Any trial and error can be seen as the expression of an option, so long as one is capable of identifying a favorable result and exploiting it.” [Page 181]

“Option is a substitute for knowledge- actually I don’t understand what sterile knowledge is, since it is necessarily vague and sterile. So I make the bold speculation that many things we think are derived by skill come largely from options, but well-used options, much like Thales’s situation [who had an option with olive presses – pages 173-174] rather than from what we claim to be understanding.” [Page 186]

Taleb is skeptical with experts, with anyone believing in a linear model academia -> applied science ->practice (“lecturing birds how to fly”); he believes in tinkering, heuristics, apprenticeship, and makes again many enemies for free! He claims the jet engine, financial derivatives, architecture, medicine were first developed by practitioners and then theorized by scientists, not invented or discovered by them.

Tinkering vs. research

“There has to be a form of funding that works. By some vicious turn of events, governments have gotten huge payoffs from research, but not as intended – just consider the Internet. It is just that functionaries are too teleological in the way they look for things and so are large corporations. Most large companies, such as Big Pharma, are their own enemies. Consider blue sky research, whereby grants and funding are given to people, not projects, and spread in small amounts across many researchers. It’s been reported that in California, venture capitalists tend to back entrepreneurs, not ideas. Decisions are largely a matter of opinion, strengthened with who you know. Why? Because innovations drift, and one needs flâneur-like abilities to keep capturing the opportunities that arise. The significant venture capital decisions were made without real business plans. So if there was any analysis, it had to be of a backup, confirmatory nature. Visibly the money should go to the tinkerers, the aggressive tinkerers who you trust will milk the option.” [Page 229]

“Despite the commercial success of several companies and the stunning growth in revenues for the industry as a whole, most biotechnology firms earn no profit.” [Page 237] [Optionality again]

“(i) Look for optionality; in fact, rank things according to optionality, (ii) preferably with open-ended, not closed-ended, payoffs; (iii) do not invest in business plans but in people, so look for someone capable of changing six or seven times over his career, or more (an idea that is part of the modus operandi of the venture capitalist Marc Andreessen); one gets immunity from the backfit narratives of the business plan by investing in people. Make sure you are barbelled, whatever that means in your business.” [Page 238]

“I did here just debunk the lecturing-Birds-How-to-Fly epiphenomenon and the “linear model”, suing simple mathematical properties of optionality. There Is no empirical evidence to support the statement that organized research in the sense it is currently marketed leads to great things promised by universities. [Cf also Thiel lamentations about the promise of technologies – https://www.startup-book.com/2010/10/12/tech-equals-salvation/ ] Education is an institution that has been growing without external stressors; eventually the thing will collapse.” [A conclusion to book IV, page 261]

Why is fragility non linear?

“For the fragile, the cumulative effect of small shocks is smaller than the single effect of an equivalent single large shock. For the antifragile, shocks bring more benefits (equivalently, less harm) as their intensity increases (up to a point).”

Via negativa

“We may not need a name for or even an ability to express anything. We may just say something about what it is not. Michelangelo was asked by the pope about the secret of his genius, particularly how he carved the statue of David. His answer was: It’s simple, I just remove everything that is not David.” [Page 302-304]

[…] “Charlatans are recognizable in that they will give you positive advice. Yet in practice, it is the negative that’s used by the pros. One cannot really tell if a successful person has skills, or if a person with skills will succeed – but we can pretty much predict the negative, that a person totally devoid of skills will eventually fail.”

[…] “The greatest – most robust – contribution to knowledge consist in removing what we think is wrong. We know a lot more what is wrong than what is right. Negative knowledge is more robust to error than positive knowledge. […] Since one small observation can disprove a statement, while millions can hardly confirm it [The Black Swan!], disconfirmation is more rigorous than confirmation. […] Let us say that, in general, failure (and disconfirmation) are more informative than success and confirmation.”

[Funnily, I remember the main critics against my book were the lack of [positive] proposal in the end. I should have said there we many about what not to do!]

“Finally, consider this modernized version in a saying from Steve Jobs: “People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things.” [Page 302-304]

Less is more

“Simpler methods for forecasting and inference can work much, much better than complicated ones. “Fast and frugal” heuristics make good decisions despite limited time. First extreme effects: there are domains in which the rare event (good or bad) plays a disproportionate share and we tend to be blind to it. Just worry about Black Swan exposures and life is easy. There may not be an easily identifiable cause for a large share of the problems, but often there is an easy solution, sometimes with the naked eye rather than the use of the complicated analyses. Yet people want more data to solve problems.” [Page 305-306]

“The way to predict rigorously is to take away from the future, reduce from it things that do not belong to the coming times. What is fragile will eventually break, and luckily we can easily tell what is fragile. Positive Black Swans are more unpredictable than negative ones. Now I insist on the via negativa method of prophecy as being the only valid one.” [Page 310]

“For the perishable, every additional day in the life translates into a shorter additional life expectancy. For the non perishable, every additional day may imply a longer life expectancy. On general, the older the technology, the longer it is expected to last. I am not saying that all technologies do not age, only that those technologies that were prone to aging are already dead.” [Page 319]

“How can we teach children skills for the twenty-first century, since we do not know which skills will be needed? Effectively my answer would make them read the classics. The future is in the past. Actually there is an Arabic proverb to that effect: he who does not have a past has no future.” [Page 320]

[As can be read later in the book Taleb does not like the Bay Area culture. And it is no coincidence, it is a region with nearly no past, nearly no history, but it certainly help it create Silicon Valley innovations…]

“If you have an old oil painting and a flat screen television, you will never mind changing the television, not the painting. Same with an old fountain pen and the latest Apple computer; [Taleb is really cautious with modernity and innovation, even if a user of it. With architecture, he has similar concerns. Again he prefers tradition to aggressive modernity. Same with the metric system vs. old methods] Top-down is usually irreversible, so mistakes tend to stick, whereas bottom-up is gradual and incremental, with creation and destruction along the way, thought presumably with a positive slope.” [Pages 323-24]

“So we can apply criteria of fragility and robustness to the handling of information – the fragile in that context is, like technology, what does not stand the test of time. […] Books that have been around for ten years will be around for ten more; books that have been around for two millennia should be around for quite a bit of time. […] The problem in deciding whether a scientific result or a new “innovation” is a breakthrough, that is, the opposite of noise, is that one needs to see all aspects of the idea – and there is always some opacity that time, and only time, can dissipate.” [Page 329]

“Now, what is fragile? The large, optimized, overreliance on technology, overreliance on the so-called scientific method instead of age-tested heuristics.”

“By issuing warnings based on vulnerability – that is, substractive prophecy – we are closer to the original role of the prophet: to warn, not necessarily to predict, and to predict calamities if people don’t listen.”

Ethics

“Under opacity and complexity, people can hide risks and hurt others. Skin in the game is the only true mitigator of fragility. We have developed a fondness for neomanic complication over archaic simplicity. […] The worst problem of modernity lies in the malignant transfer of fragility and antifragility from one party to the other, with one getting the benefits, the other one (unwittingly) getting the harm, with such transfer facilitated by the growing wedge between the ethical and the legal. Modernity hides it especially well. It is of course an agency problem.” [Page 373]

[You can/should have a look at table 7, page 377]

“In traditional societies, a person is only respectable and as worthy as the downside he (or, more, a lot more, than expected, she) is willing to face for the sake of others.” [Page 376]

“I want predictors to have visible scars on their body from prediction errors, not distribute these errors to society.” [Page 386]

[Don Quixote was already the sign of the end of the heroism, of the ethical behavior. Taleb’s models are Malraux and Ralph Nader – “the man is a secular saint” [Page 394]. His enemies Thomas Friedman, Rubin and Stieglitz]

[Is “skin in the game” the only way? The only solution? What about transparency?]

About Science

“Science must not be a competition; it must not have rankings – we can see how such a system will end up blowing up. Knowledge must not have an agency problem. One doctoral student once came to tell me that he believed in my ideas of fat tails and my skepticism of current methods of risk management, but that it would not help him get an academic job. “It’s what everybody teaches and uses in papers” he said. Another student explained that he wanted a job at a good university, so he could make money testifying as an expert witness – they would not buy my idea on robust risk management because “everyone uses these textbooks”. [Page 419]

[So true! Check The Trouble with Physics.]

Conclusion

“All I want is to remove the optionality, reduce the antifragility of some at the expense of others. It is simple via negativa. […] The golden rule: “Don’t do unto others what you don’t want them to do to you”. […] Everything gains or loses from volatility. Fragility is what loses from volatility or uncertainty. […] Time is volatility. Education in the sense of the formation of the character, personality, and acquisition of true knowledge, likes disorder; label-driven education and educators abhor disorder. Innovation is precisely something that grains from uncertainty.” [Pages 420-22]

“It so happens that everything nonlinear is convex, concave or both. […] We can build Black-Swan-protected systems thanks to detection of concavity, […] and with a mechanism called convex transformation, the fancier name for the barbell. […] Distributed randomness (as opposed to the concentrated type) is a necessity.”

[General comments]

Taleb sometimes gives the feeling of contradictions: marketing is bad, but Steve Jobs is great; barbell strategy and optionality is great, but isn’t it about risks and downsides transferred to others [Isn’t Thales a pure speculator?], cigarettes are bad but traditions are good.

Also this love of tradition makes people with more background at ease to take risks with barbell strategy; but what about the poor with nothing to lose? Benefits might statistically go to those who already have… [It reminds the story told by J.-B. Doumeng: It is a millionaire who recounts his difficult beginnings: “I bought an apple 50 cents, I polished it to shine and I sold it for one franc. With this, I bought two apples 50cts, I carefully polished and I sold them 2 Fr after a moment, I could buy a cart to sell my apples and then I made a big inheritance … “]

You now know why it has been a challenge. A very strange, dense, fascinating book, but if you like these concepts, you must read Antifragile. In fact you must read the Black Swan first, if you have not and if you like it, I am sure you will read Antifragile.

ParisTech Review: Innovation is Sharing Ideas… and Emotions

Excellent interview of Norbet Alter in the January 2013 edition of teh ParisTech Review: Sharing Ideas… and Emotions: Why Innovation Needs Cooperation.

ParisTechReview

It begins with: “Try as you may, innovation can never be reduced to a mere good idea. Innovation is a process, which is played chiefly in the way those who are to implement it can successfully make novelty theirs. Quite often management tends to overlook this process of appropriation, or to consider it only in terms of hindrances and obstacles. How, on the contrary, can the internal resources of organizations be enhanced and mobilized? The answer is straightforward: by developing a culture of cooperation, which allows for some degree of transgression… and also makes way for emotion.”

A few more interesting ideas:
– “Firstly, we tend to confuse invention with innovation. An invention is the act of creating something new. As such, it may be the fruition of a single man’s ingenuity. Innovation, on the other hand, involves disseminating such novelty. It refers to a much broader process that includes social, economic and technological dimensions.”
– Then, a nice analogy quoting someone: “I hate GPS. When driving with a GPS, you don’t look at the landscape, you don’t notice the signs, and given you don’t get lost you don’t get to ask directions to others.”
– Finally, “innovators are always a minority, or at any rate that’s the way they start out, and the more allies you find in an innovative project, the better you bear with being a minority.”

Swiss medtech start-ups and their ecosystem

Here is my seventh contribution to EPFL’s start-up of the month. It is about medtech and specifically KB medical. It’s also about the Swiss innovation ecosystem.

KB Medical, a new start-up in the world of medical technology, just announced that its fundraising effort raised 4 million Swiss francs.

The news is surprising in more ways than one. KB was founded on October 4, 2012, and the fundraising announced on October 29. It is rare for a start-up to launch with initial funding without having to go through the agonies of surviving in our ecosystem that subsists on subsidies. What’s more, this start-ups is active in an area in which private funding is less common than with the Internet and biotechnology.

These apparent surprises are, however, misleading. Szymon Kostrzewski and Philippe Bérard (the K and B of KB Medical) have been pursuing their research for years in the Biorobotics Laboratory at EPFL. They were supported by an Innogrant. Furthermore, they also received a boost from the Liechti Foundation and were winners of the National Venture 2012. Also, Szymon spent time in Boston as the winner of VentureLeaders. Therefore, the research upstream has been discreet but effective. There is probably a lesson to this announcement: there is no point in creating a start-up prematurely if it is not necessary.

Medical Technology in the Footsteps of the Watchmaking Tradition

Perhaps more importantly, the Lake Geneva region is fertile for medical technology research from the fields of micro-technologies and robotics. The famous Delta Robot is from the same laboratory of Professor Clavel. More recently, start-ups such as Endoart, Sensimed, and Aleva Neurotherapeutics succeeded at raising significant capital. And even more recently, DistalMotion from Ricardo Beira and StereoTools from Remi Charrier were launched through the support of their laboratory plus an Innogrant. These three young start-ups are distinctive for their use of extreme mechanical precision to improve the performance of delicate surgical procedures.

We often speak of engineering for local technology clusters. In the footsteps of the watch industry, the substance of SMEs specializing in medical technology was created in Switzerland. Today start-ups enrich what could resemble a Medical Valley, in the shadow of pharmaceutical giants such as Roche and Novartis and under the friendly gaze of Medtronic and Johnson and Johnson (J&J).

On the Board of KB Medical, one finds Malgosia Iwankowska who worked at J&J, Medtronic, and Sensimed. This is a technology cluster, but even more, it is human talent and a network of connections that develops and grows over the course of years. This Swiss tradition of precision quality and bespoke, however, is widely recognized, and that somewhat demystifies the intrigue of KB Medical’s remarkable news.

More infos:

Several Medtech Start-ups at EPFL

What’s a start-up? And a spin-off?

I had given the same title to a post in November 2011! When listening to Pedro Bados, founder of Nexthink (an EPFL spin-off) on Radio Suisse Romande (you can listen to the podcast from time 6’50” (in French!), I needed to come back on the topic.

Let me give again Steve Blank’s definition which I had mentioned in the previous post: “startups are temporary organizations designed to search for a scalable and repeatable business model.” According Pedro Bados, “to be a start-up is more a mindset, focused on permanent innovation, than a question of size.” It is therefore a delicate definition and let me try to give general criteria.

A start-up is a corporation which explores, which is looking for a business model, a market, customers and is trying to innovate. It usually looks for a big market (“scalable”) and therefore service businesses do not qualify (except on the web) as they do not often scale. It is also a matter of strong and rapid growth in emerging markets because the competition is tough and there will be few winners. It often go fast. That is why it is more about a mindset: you are curious, in an uncertain world, trying to bring new things to the world.

Because you are looking for a business, you do not have enough paying customers, and you will most likely need external capital (business angels, venture capital) except if your future customers accept to pay a lot in advance. This is why there is a strong correlation between being a start-up and having investors.

Once you have found what you are looking for, you will need to put more processes in place, you will be less curious, maybe less innovative (at least you will not be 100% innovative anymore) and you stop being a start-up. In a recent post about a new book on Google, I mentioned that “Part II is about growth and it is a change from the chaotic experimental company Google was. Not a dramatic change, but a change.” Google stopped being a start-up at that point. Bados is right. It is not a question of size, not even of age, as long as you fit in this exploring mindset, looking for your business with a lot of creativity. And Blank’s definition is definitely good!

Now what’s a spin-off? It’s a company created from a bigger organization (university, corporation). A spin-off may or may not be a start-up, but most academic spin-offs are indeed start-ups.

Imagination/Intuition versus Logic/Reason

As Guillermo Martinez said rightly in one of his essays, “it’s well-known that there is only one more effective way to kill conversation in a waiting room than to open a book, and that is to open a book of mathematics”. Still you may read more than this first sentence!

Even in high tech. innovation and entrepreneurship, the topic of imagination vs. reason, which could be translated by technology push vs. market push, is recurrent. So when I read books about creativity, whether it is scientific or artistic, I am always looking for links with innovation. I had the opportunity to check it again with Guillermo Martinez’s Borges and Mathematics. Borges is probably one of the “poets” who put the most mathematics in his literary work. Guillermo Martinez who is both a novel author and a mathematician has recently published in English this nice little book about Mathematics in Borges’ short stories. I already talked about mathematics in a recent post so let me add here a few things about what I liked.

borges-and-mathematics

Martinez quotes Borges who quotes Poe: “I – naively perhaps – believe Poe’s explanations. I think that the mental process he adduces corresponds to the actual creative process. I’m sure this is how intelligence works: through changes of mind, obstacles, elimination. The complexity of the operation he describes doesn’t bother me; I suspect that the real approach must have been even more complex and much more chaotic and hesitant. All this does not mean to suggest that the arcana of poetic creation were revealed by Poe. In the links, that the writer explores, the conclusion he draws from each premise is logical of course but not the only one necessary.” Borges in The genesis of Poe’s “The Raven”.

And then he adds more about the process of creativity: In the discussion of “divine, winged” intuition versus the prosaic, tortoise pace of logic, I would like to contradict a myth about mathematics: the process Borges describes is exactly the same as what happens in mathematical creation. Let’s consider the mathematician who has to prove a theorem for the first time. Our mathematician sets out to prove a result without even knowing if such a proof really exists. He gropes his way through an unknown world, proving and making mistakes, refining his hypothesis, starting all over again and trying another approach. He too has infinite possibilities within his grasp and with every step he takes. And so each attempt will be logical, but by no means the only one possible. It is like the moves of a chess player. Each of the chess player’s moves conforms to the logic of the game in order to entrap his rival, but none is predetermined. This is the critical step in artistic and mathematical elaboration, and in any imaginative task. I don’t believe there is anything unique to literary creation as far as the duality of imagination/intuition versus logic/reason is concerned.

I strongly believe that innovation is very similar to the process of artistic or scientific creation. But in another essay, Martinez says more about creation: “It’s the same feeling of euphoria you get when, after many years of struggling with your own ignorance, you suddenly understand how to look at something. Everything becomes more beautiful, and you have the feeling you can see farther than before. It’s a glorious moment, but you pay a great price for it, which is your obsession with the problem, like a constant wound or a pebble in your shoe. I wouldn’t recommend that sort of life to anyone. Einstein had a close friend, Michele Besso, with whom he discussed many details of the theory of relativity. But Besso himself never accomplished anything important in science. His wife once asked Einstein why, if in fact her husband was so gifted. “Because he’s a good person!” Einstein replied. And I think it’s true. You have to be a fanatic, an that ruins your life and the lives who are close to you.” Again you might meditate about the high rate of divorce in Silicon Valley and the fanatism creativity requires.

For those really interested in mathematics, I cannot avoid mentioning some other topics Martinez addresses: Gödel’s incompleteness theorem is one of the greatest achievements in mathematics ever, though it is complicated to understand. In a very simplistic ways, even in mathematics, there are things which are true but cannot be proven. Russell’s paradox is nearly as mesmerizing but simple to grab: (From Wikipedia): There are some versions of this paradox that are closer to real-life situations and may be easier to understand for non-logicians. For example, the Barber paradox supposes a barber who shaves all men who do not shave themselves and only men who do not shave themselves. When one thinks about whether the barber should shave himself or not, the paradox begins to emerge. According to naive set theory, any definable collection is a set. Let R be the set of all sets that are not members of themselves. If R qualifies as a member of itself, it would contradict its own definition as a set containing all sets that are not members of themselves. On the other hand, if such a set is not a member of itself, it would qualify as a member of itself by the same definition. This contradiction is Russell’s paradox. Symbolically:

russel-paradox-formula

I’M Feeling Lucky, not just another book about Google

As a follow-up of my post Safe choices aren’t always good choices, here is my full account of I’M Feeling Lucky – Falling On My Feet in Silicon Valley by Douglas Edwards. As I said then, I thought it might be just another book about Google. It is not. The lessons are amazing. And here are examples.

A first illustration comes from a conversation between Douglas and Larry Page: “I realize that more often than not you’ve been right about things. I feel like I’m learning a lot and I appreciate your patience as I go through that process.” […] “More often than not?” [Larry] asked me. “When were we ever wrong?” he didn’t smile as he asked his question or arch an eyebrow to signify annoyance. He simply wanted to know when he had been wrong so he could feed that information into the algorithm that ran his model of the universe. [Pages ix-x]

Douglas was employee number 59 [Page xv]. He left in 2005, so his account of the Google story is extremely rich and shows how exceptional it was. “Other signs pointed to something out of the ordinary. Sequoia Capital and Kleiner Perkins were the Montagues and Capulets of Silicon Valley venture capital firms. An intense rivalry usually kept them from investing in the same startup”. [Page 7] [This is not so true as you may see from When Kleiner Perkins and Sequoia co-invest(ed).]

As a marketing person, he also has an interesting vision of engineers. “Neither Larry nor Sergey had been to business school or run a large corporation, but Larry had studied more than two hundred business books to prepare for his role running Google as a competitive entity”. [Page 141]

“Impulsive and opinionated, Ray [employee #6] will always personify for me Google engineering id, a lone cowboy patrolling the electronic frontier in shocking-pink shorts, facing down the black hats and making them blink, then riding off into a sunset that was only as colorful as he was”. [Page 152]

“The ideal success rate was seventy percent, which showed we were stretching ourselves. Missing targets would not factor in performance reviews, because if they did we would take too few risks”. [Page 55] … “Starting with something that’s more ambitious will get you something that’s reasonable. But if you don’t put the goal post way out there, people are already taking fewer risks and are less ambitious about how big the idea should be. It was another reason Google valued intelligence over experience.” [Page 105] “Think big. Stay flexible. Embrace data. Be efficient and economical in the extreme. [Page 113]”

There is a funny account of MentalPlex, an April Fool that upset some people but which was apparently quite creative, an “Ante-temporal search that anticipated user requests”. [Page 97-103] At the end of the post, you can have a look at how it looked like.

Part II is about growth and it is a change from the chaotic experimental company Google was. Not a dramatic change, but a change. The main lesson I keep from part I is that Google did many things in the opposite way that business books or experienced managers would tell you. Always doubtful, always skeptical with obvious truths. In particular anything which is not engineering or which cannot be backed by data.

“Larry’s decision to let user-created ads go live on our site without review convinced me he occupied some alternative and severely distorted reality”. [Page 185]

“There were people my age at Google when I joined and people older than me within a few months. Hardware engineer Will Whitted had been fifty-four when he started, and he saw no gap between his thought process and that of his younger colleagues. “I think that I think younger, which probably means more irresponsibly than most people do” he confessed. “There were people at Google who had the opposite problem – who were a little younger than me, but perceived by people who mattered as old-thinking. To be slow and overly-conservative, and it got them in trouble.” Those who succeeded, as I was trying to do, needed to be open to new ideas regardless of their source or seeming defiance of logic.” [Page 187]

“Would Google never tire of succeeding with big ideas that I found patently ludicrous? It was starting to make me feel like a crotchety geezer yelling at kids to get off his lawn.” [Page 190]

“What matters is whether we are doing the right thing, and if people don’t understand it now, they will eventually come to understand it.” It was a lesson that would shape Google’s attitude towards the public from that point on. Sure we had upset people with MentalPlex, but at least some us conceded their kvetching might have had cause. With Deja, we were clearly on the side of the angels. The public just did not get it. Even when we worked our asses off, spent our own cash, and tried to do something good for them, they bellowed and ranted, bitched and moaned. Since users were being so unreasonable, we could safely ignore their complaints. That suited our founders just fine – they always get with their guts anyway.
I’ve been asked if Larry and Sergey were truly brilliant. I can’t speak to their IQs but I saw with my own eyes that their vision burned so brightly it scorched anything that stands in their way. The truth was so obvious that they felt no need for the niceties of polite society when bringing their ideas to life. Why slow down to explain when the value of what they were doing was so self-evident that people would eventually see it for themselves?
That attitude was both Google strength and Achilles’ heel. From launching a better search engine in an overcrowded field to running unscreened text in Adwords, the success of controversial ideas gave momentum to the conviction that initial public opinion was often irrelevant. [Page 212]

You might remember how shocking Sept 11 was for Americans. But Google’s reaction to Sept 11 was moderate with Alon Cohen’s looped ribbon. Doug is showing how Google has been at the same time extreme with experimentation and much cautious about users than paranoid people might think…
Google-Ribbon

You can skip this section if you have already read “Safe choices are not always good choices“.
[Pages 256-258] “When Google finally recognized its failure in implementing a CRM software to manage customer emails, “composing a list of CRM vendors didn’t take long. Fewer than half a dozen major players offered stable, well-tested systems. […] Larry has a college friend, David, who would advise us on desirable features and then added, by the way, he and a buddy were building a CRM product called Trakken. […] Interested? Interested in an untested CRM product still in development with one tiny client? Sure that’s just what I was looking for – another risky technology with no support and no track record behind it. I thanked David for his help and, because he was a friend of Larry, assured him we’d be happy to send him our request for proposal. [Meanwhile they analyzed established players.] I felt confident I could convince Larry and Sergey to loosen the purse strings and do it right this time: spend money for a high-quality, stable system from a respected vendor. I hoped Larry’s friend had taken the hint and forgotten about us. [He had not] I didn’t want him to complain to Larry when his hopes were dashed. I decided to head him off at the pass by talking to Larry myself. “Actually,” Larry recommended “you should hire these guys. They’re really smart. They’ll work hard to build the product and we can invest in their company. […] They’ll be very responsive.” I could say I was stunned, outraged, incredulous, but that would be an understatement. I couldn’t believe Larry was going cheap again instead of buying reliability. When I informed the other vendors, they thought I was either corrupt or an idiot. […] “If you can believe you can build an email tool like resembling ours in thirty days, you are mistaken. It has taken us four years and twelve hundred customers.” […] I’d still be cursing Larry’s decision today if not for one small thing: Larry was absolutely right. […] Within a couple of months we had the CRM system we wanted built to our specs, fully stable and intuitive to use. […] So what did I learn from all this? I learned that obvious solutions are not the only ones and “safe” choices aren’t always good choices. I had thought that due diligence meant finding the product most people relied on, then putting pressure on the vendor to cut the price. It never occurred to me to talk to Larry not to do that. We had different tolerances for risk and different ideas about what two smart people working alone could accomplish in a complex technical area – and that is why I spent seven years working in mainstream media while Larry found a partner and founded his own company. Two smart guys working on complex technical problems, it turns out, can accomplish a hell of a lot”.

“Yet, once again, risk reaped rewards. The willingness to suffer a few quickly eradicated indignities opened up enormous gates to international audience growth. The world tolerated awkward translations and the occasional insult in order to access Google’s search technology. It was a reminder that perfecting the polish was not as important as giving people access to the product behind it. The results we returned and the speed with which we returned them were ultimately all that mattered. They were the essence of Google’s brand”. [Page 263]

[Pages 290-92] “The hour I spent with (Larry) and Sergey probing their vision for Google gave me my best look at their motivations and aspirations for the company. Larry wanted Google to be a force for good, which meant we would never conduct marketing stunts like sweepstakes, coupons and contests, which only worked because people were stupid. Preying on people’s stupidity, Larry declared, was evil.
We need to do good. We need to do things that matter on a large scale. When I asked for examples, he mentioned microcredit in Bangladesh (…) and talked about changing business systems to make them environmentally friendly while saving money. He also talked about distributed computing, drug discovery and making the Internet faster. And that wasn’t all.
We should be known for making stuff that people can use, he said, not just for providing information. Information is too restrictive. In fact, we shouldn’t be defined by a category but by the fact that our products work – the way you know an Apple product will look nice and a Sony product will work better but cost more. We’re a technology company. A Google product will work better.
(Then they talk about personal information, sensors, storage, cameras, and user-generated data.)
Not once did the subject of making money come up. I was probably a naïve-middle-aged dreamer, because looking back at it now, I see there was nothing truly extraordinary about what Larry described. But when I walked out of his office I believed that for the first time in my life, I had been in the presence of a true visionary. It wasn’t just the specifics of what he saw, but the passion and conviction he conveyed that made you believe Larry would actually achieve what he described. … My respect for our two capricious, obstinate, provocative and occasionally juvenile founders increased tenfold that day”.

[Page 324] “The experience confirmed the power of prototyping to give definitive answers far more quickly than theoretical discussions. Google learnt a lesson: the prototype had been put together not for a specific project but just because it was found interesting. The real value is that people will do things that everyone thinks are a waste of time. That’s where the big opportunities are. It’s an opportunity because other people don’t see it. Google itself was a canonical example. No other company had thought search was important. If they had, Microsoft or Yahoo would have invested more heavily in technology and Google would never gained such a big head start”.

[Pages 387-389. Finally…] “There was no longer a role at Google for what I did. I would wind things down. I picked March 4, 2005 as my last day: “Three, Four, Five.” I liked the architectural purity of it. […] I had started at a small company as a big-company guy. Now I was leaving a big company as a small-startup guy. And I like to think that, in some small way, I helped advance the human condition. Or at least that I did more good than harm.”

************ GOOGLE MENTALPLEX – APRIL FOOL 2000 ************

Title_HomPg2

Enter your search terms…


…or browse web pages by category.
New!  Search smarter and faster with Google’s MentalPlexTM
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Note: This page posted for April Fool’s Day – 2000.

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12.12.12 and Silicon Valley start-ups

No, it’s not another number trick after my 7 x 7 = (7-1) x (7+1) + 1, it’s just noticing today’s special date. I quickly did some search and found an interesting coincidence (just to show you there is no magic, just facts!)


This kind (on the right), then 12-year old, was born on December 12, 1927

It might be that Apple went public on December 12, 1980 to celebrate his birthday. But who would know?

Why on earth do I make the link? Well, because as the next picture shows, Robert Noyce, the kid, better known as a co-founder of Intel and Fairchild, was a mentor for Steve Jobs…

Safe choices aren’t always good choices

I am reading I’M Feeling Lucky – Falling On My Feet in Silicon Valley by Douglas Edwards. I thought it might be just another book about Google. It is not. The lessons are amazing. And I will come back with many things I liked. One deserves a full article, and it is about “Safe choices aren’t always good choices”. The story is covered on pages 256-258.

When Google finally recognized its failure in implementing a CRM software to manage customer emails, “composing a list of CRM vendors didn’t take long. Fewer than half a dozen major players offered stable, well-tested systems. […] Larry has a college friend, David, who would advise us on desirable features and then added, by the way, he and a buddy were building a CRM product called Trakken. […] Interested? Interested in an untested CRM product still in development with one tiny client? Sure that’s just what I was looking for – another risky technology with no support and no track record behind it. I thanked David for his help and, because he was a friend of Larry, assured him we’d be happy to send him our request for proposal. [Meanwhile they analyzed established players.] I felt confident I could convince Larry and Sergey to loosen the purse strings and do it right this time: spend money for a high-quality, stable system from a respected vendor. I hoped Larry’s friend had taken the hint and forgotten about us. [He had not] I didn’t want him to complain to Larry when his hopes were dashed. I decided to head him off at the pass by talking to Larry myself. “Actually,” Larry recommended “you should hire these guys. They’re really smart. They’ll work hard to build the product and we can invest in their company. […] They’ll be very responsive.” I could say I was stunned, outraged, incredulous, but that would be an understatement. I couldn’t believe Larry was going cheap again instead of buying reliability. When I informed the other vendors, they thought I was either corrupt or an idiot. […] “If you can believe you can build an email tool like resembling ours in thirty days, you are mistaken. It has taken us four years and twelve hundred customers.” […] I’d still be cursing Larry’s decision today if not for one small thing: Larry was absolutely right. […] Within a couple of months we had the CRM system we wanted built to our specs, fully stable and intuitive to use. […] So what did I learn from all this? I learned that obvious solutions are not the only ones and “safe” choices aren’t always good choices. I had thought that due diligence meant finding the product most people relied on, then putting pressure on the vendor to cut the price. It never occurred to me to talk to Larry not to do that. We had different tolerances for risk and different ideas about what two smart people working alone could accomplish in a complex technical area – and that is why I spent seven years working in mainstream media while Larry found a partner and founded his own company. Two smart guys working on complex technical problems, it turns out, can accomplish a hell of a lot.