Exclusive license vs. ownership of Intellectual Property

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Intellectual Property (IP) is a sensitive and often cleaving topic. I have already addressed the topic here, check the hashstag #intellectual-preperty (or also #licensing). But even once the general value of IP is addressed, there are tons of secondary issues.

One is the specific question of how ownership of IP by a startup vs. an exclusive license granted by an academic institution is considered, in particular by investors. On January 27, 2022, I send an short email to 300+ investors and I got about a 10% response rate. In parallel, I mentioned the topic on my LinkedIn account and I got additional comments. Although, there is a rich argumentation about pros and cons of both situations, so that the reader may want to have a careful look at the full answers, here is my synthetic understanding:

There is no fundamental difference between license and transfer from the point of view of the startup’s strategy, except what happens in the event of bankruptcy or liquidation. The license is not an asset and therefore the intellectual property is no longer usable. With this nuance, admittedly significant, there are two additional points:
– Some investors think that the owner pays for the maintenance of the IP and suits the possible “infringers” to defend this property. I don’t think that’s the case because in my experience it’s the licensee who does that.
– In case of a trade sale, it is important that the license can be transmitted and this is a major item, that is to be guaranteed. There maybe political or strategic issues though.
Finally, a price for the transfer may be added when or if possible.
There is no doubt that the reputation of the institution and the stability of these acts are essential. (There would be more to add like equity vs. (capped or not) royalties in the license terms, milestones and many details… I tried to be as short as possible).

You can download here pdf file Survey on license vs ownership of IP.

Survey on license vs ownership of IP – Lebret – 1Feb2022

Time and Space Maps of Silicon Valley (in the 80s)

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I had published in the past genealogies (time maps) of Silicon Valley startups and venture capital. Here they are again:

SiliconValleyGenealogy-All
Genealogy of Silicon Valley startups (1957-1986)

WCVCGenealogy-All
Genealogy of West Coast Venture Capital (1958-1983)

But there have been other (“artistic”) maps, strangely in the 80s also. Here are three similar versions from 1983-1986.


Maps of Silicon Valley by Pacific Ventures (1983-86)

Of course these ones have a background history with Steinberg’s New Yorker cover in March 76. And for my Swiss friends what about this Zuricher one?

What is interesting to me is its nostalgic value. So what names are worth noticing? On the left one or below, of course, Apple, Intel HP, IBM but also Tandem, National Semi, Varian, Fairchild, Ask, and a little surprisingly Stanford University, all in between highways 101 and 280, finally Genentech, Atari, Rolm between San Jose and San Francisco and behind the Bay Area, Berkeley, New York, technology clusters Route 128 in Boston, Research Triangle in North Carolina & Austin’s Silicon Gulch. Finally emerging and threatening Japan in the mid 80s…

What to add to the one in 1984? Not much except that both HP and Intel, but not IBM anymore, are in the foreground… Do you remember the Apple vs. IBM 1984 advertising?

So what about 1986? Well I see 3com, Borland, Sun, Silicon Graphics. Silicon Graphics went public in October 1986, Sun on March 4, 1986 (by the way Oracle had gone public on March 12, 1986 and Microsoft on March 13, 1986…). 3Com’s IPO was in 1984. Borland was always strangely structured with an IPO in London in 1986 before doing it in the USA in 1989. 1986 is a bit of a turning point: software became an industry in itself, Sun, Silicon Graphics, 3Com represent also the beginning of networked computers.

Forget nostalgia. Silicon Valley has changed a lot. Apple is still around, Oracle too but have a look at this new illustration! Apple is in a new building. Facebook (sorry Meta) and Google (sorry Alphabet) are the new giants. HP is also mentioned through its garage! There are the old ones (Intel, AMD, IBM, HP), the already old like Yahoo, not to forget Cisco, Adobe, YouTube, LinkedIn, Intuit and more “iconic” landmarks like Sand Hill Road, or Cafe Borrone and Buck’s restaurant.

But always remember. Silicon Valley is not about buildings as Folon rightly showed. And you know what, it is dated 1985…

Larry Page and Peter Thiel – 2 (different?) Icons of Silicon Valley

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I just read two long and interesting articles about these important personalities of Silicon Valley. The one about Larry Page was mentioned to me by a colleague (thanks François!) through its French translation. It is rather old (2014) but still very interesting and relevant : The Untold Story of Larry Page’s Incredible Comeback (Nicholas Carlson – April 24, 2014).

The one about Peter Thiel was recently published by the New Yorker, I find it a little less interesting as there is not much new, but still very clear as usual with this great magazine : What Is It About Peter Thiel? The billionaire venture capitalist has fans and followers. What are they looking for? (Anna Wiener – October 27, 2021)

What do they have in common, I am not sure: they have very different personalities, one is rather secretive, the other very visible. They certainly have in common the belief that technology and entrepreneurship can (still?) change the world, but Thiel puts this as a political statement and I believe he is wrong. Politics are about collective decisions (I hope), wheras entrepreneurship is more individual decisions (I think) even if is does include cultural (therefore collective) features.

Page was born in 1973 in Michigan and Thiel in 1967 in Germany, they both studied at Stanford University, Thiel in the law school, Page in the engineering school. They apparently both funded the Singularity university, something I do not really understand except the link to their extreme belief in technology saving the world…

I have written so much about them, you may want to check that through the tags #thiel or #google. In the article about Larry Page, there are very interesting moments, for example his “lessons” about management:
– Don’t delegate: Do everything you can yourself to make things go faster.
– Don’t get in the way if you’re not adding value. Let the people actually doing the work talk to each other while you go do something else.
– Don’t be a bureaucrat.
– Ideas are more important than age. Just because someone is junior doesn’t mean they don’t deserve respect and cooperation.
– The worst thing you can do is stop someone from doing something by saying, “No. Period.” If you say no, you have to help them find a better way to get it done.

It’s really worth reading these two articles and see again how much diversity there is (or not) in Silicon Valley. The last sentences of the articles about Page says: Instead of ending his life destitute and ignored, [contrary to his icon, Nikola Tesla] Page, still just 41, will spend the final half of his life pouring billions of dollars and countless hours into his wildest visions. “Anything you can imagine probably is doable,” Page told Google investors in 2012. “You just have to imagine it and work on it.”

Whereas the one about Thiel ends in a little more mysterious but enlightening way: Of course, when it comes to Thiel, what registers as mystique may simply be practiced opacity. Strauss, the conservative philosopher, proposed that academics and writers often advance their ideas through intentionally obscure prose — a technique in which “the truth about all crucial things is presented exclusively between the lines,” such that it is legible “not to all readers, but to trustworthy and intelligent readers only.” In interviews, Thiel can come across as “Straussian” — opaque, enigmatic, even oracular. He is a master of conversational redirection, and his arguments can be indeterminate. Religious references and allusions lend his ideas about business or globalization a sense of mysticism, as though the truth of his own speech is lurking just around the corner. Online, clues proliferate — about Thiel’s ideas and much else. Sleuths hunt for meaning, and search for signs indicating that they are among the “trustworthy and intelligent.” For Thiel’s fans, part of his appeal must be the endless opportunities he presents for decoding, deciphering, and hypothesizing. He offers readers the anticipation of revelation. Then again, the truth could be much simpler: when money talks, people listen.

A MIT entrepreneurial history – Epilogue : The Impact and some lessons learnt

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Degroof has produced one of the best books describing entrepreneurial ecosystems as I have already mentioned in 2 previous posts including Part 2 : Ecosystems & Culture.
In the last part of his book, he switches to the impact of MIT and its ecosystem.

This is a well-known topic as you could read in Entrepreneurial Impact: The Role of MIT. Degroof reminds us (pages 183-89) of the biotech startups around Kendall Square (Biogen, Genzyme) as well as the R&D of big pharma relocating around, such as Swiss Novartis. It’s not only about biotech as Lotus Development or Akamai exemplify. He also mentions some alumni who became famous entrepreneurs or investors, Hewlett (36), Perkins (53) or Swanson (69). He does not mention Noyce (53) though, and his tinkerings (more here and there) or Haren (80) for French people. There could be hundreds of others!

He also adds about the impact of local accelerators from CIC in the late 90s to MassChallenge and TechStars. I am a little less convinced about the international impact MIT had in a more topdown institutional way. What is the exact outcome of partnerships in Singapore, Hong Kong, Abu Dhabi, Spain or Portugal. The Deshpande Center certainly inspired many initiatives including the Innogrants I managed at EPFL in the mid 2000s or even what I do today.

Degroof also develops the importance of teaching and training: “In trying to reconcile the tension between rigor and relevance, Aulet argues convincingly that entrepreneurship should be framed as a craft as opposed to a science or an art. Like a craft, it is built on fundamental concepts. A potter, for instance, needs to master the basic mechanical and chemical principles of his craft. Knowing those does not guarantee success, but they considerably improve the chances. Like a craft, entrepreneurship is best learned through apprenticeship, or learning by doing, rather than relying only on lectures or manuals.” [Page 212]

Again I am a little less convinced about this generally-mentioned point: “There is a strong belief at MIT that entrepreneurship is a team sport. It is based on the evidence that teams of founders tend to perform better than individual founders, and that complementary teams tend to do better than homogeneous teams. Following on the heels of the I-Teams class, nowadays, most teams in entrepreneurship-related courses or contests are required to be composed of a mix of engineering or science students with management students. This has become an important feature and a great strength of entrepreneurship training at MIT. Both groups benefit from each other’s contributions. Engineering and science students discover the market dimensions of the projects with the help of their peers from the business school and learn that it is not enough to build a better mousetrap, while the latter benefit from scientific and engineering insights. Both groups are forced to deal with cultural differences and with more complex team dynamics than what occurs in homogeneous teams. The results are stronger teams and more effective projects.” [Page 214]

Entrepreneurship is a complex venture and entrepreneurial ecosystems are complex and fragile settings. Degroof convincingly describes why Boston has become a model. He does not really develop why it has not been as succesful as Silicon Valley, with a similar culture though. Paul Graham’s Ycombinator had moved from Boston to Silicon Valley as mentioned in Why Boston Should Worry. When I visited Novartis people in Boston, some claimed that Silicon Valley was to Boston what Boston was to Europe. Yes, Boston was more innovative than Europe and that is why Novartis moved some R&D to the West, but when Novartis bought Chiron in Silicon Valley, Novartis discovered going further West was again more adventurous. (See Myths and Realities of Innovation in Switzerland).

But these debates are secondary to the lessons learnt and synthesized by Degroof. A lot of inspiration is to be found. And coming back to the great foreword by Metcalfe : recreating MIT’s renowned entrepreneurial ecosystem is not a simple task. There is no copying MIT’s ecosystem and pasting it into another institution. The founding principles and unique cultural elements that came together to create the “secret sauce,” as Jean-Jacques calls it, the ground-up nature of what has grown and thrived at MIT, are not easy to duplicate. That does not mean that there are no concrete lessons to be learned, that there is not knowledge that can be translated and adapted for other universities and economies. Today, as a successful and seasoned entrepreneur, I still frequently look to MIT in my efforts to build a thriving entrepreneurial ecosystem at the University of Texas. I don’t hesitate to reach out to my extensive network at MIT for answers to questions of theory and practice. From there, I have been able to make great strides in my goal. I may not be recreating MIT, but I am modeling what I do after the very best and adapting it to the specifics I have here in Austin.”

A MIT entrepreneurial history – Part 2 : Ecosystems & Culture

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I continued reading the excellent From the Basement to the Dome by Jean-Jacques Degroof and found more inspiring elements about ecosystems, culture and also technology transfer from academic institutions after my first post. Here they are:

6 ingredients of the MIT ecosystem

Degroof gives us the cultural elements of the ecosystem: But what is it about this culture that has been supportive of entrepreneurship? The argument of this book is that entrepreneurship is particularly congruent with at least six elements of MIT’s culture: a well-ingrained, bottom-up organizational dynamic; excellence in all things that one studies or attempts to do, as well as a belief in hard work and fortitude; an interest in problem-solving and having a positive impact on the world; a belief in experimenting and a tolerance of failure; the pride of being viewed as rebels, sometimes eccentric and even a bit geeky, pursuing unconventional solutions; and the tradition of a multidisciplinary approach to problem-solving. [Page 90]

Why startups?

Here is an interesting comment about academic technology transfer: “Established firms are seldom interested in licensing emerging technologies from academia for several reasons. They don’t understand the potential of the technology; the time frame to develop the tech into a viable product exceeds the time horizon that most firms are comfortable with, or else they fear that they could cannibalize their existing business. As a result, in 1987, the TLO’s new director, John Preston, took the initiative to license technology to new ventures in exchange for equity, first as an experiment because there was a great concern at MIT about potential conflicts of interest. During the first year of this policy, six companies were formed based on such licenses, including ImmuLogic and American Superconductor. Sixteen more companies were formed during the second year. [Page 34]

Degroof then describes the multitude of ecosystem tools, all in a bottom-up logic, with serendipity (chapter 6) as a fairly common mechanism. The beginning of chapter 8 on technology transfer with the example of Amberwave is another must-read:

Often the initial performance of the new technology is either lower than that of existing solutions or not high enough to justify the switching cost for potential clients. As a result, established companies often don’t see the potential of new academic technologies. Moreover, in the few cases when the technology’s advantage is obvious or clearly promising, established companies are often concerned lest they cannibalize market share from their existing technology—a technology in which they have invested time and money, and around which they have built whole supply chains and other infrastructure.
It is estimated that an investment equal to 10 to 100 times the cost of the academic research is needed to bring an academic technology to market. This process also requires patience and perseverance. It can take at least two to three years for a patent to get issued once it is filed. When a company finally licenses a technology, it might take an additional five to ten years before it generates revenue. All in all, the uncertain performance of developing academic inventions, the associated costs, and the time lag between invention and revenue generation make investing in embryonic academic inventions extremely unattractive.
This does not mean that large firms never license patents from universities, but more often, inventors are the only ones to understand and to believe in the commercial potential of their technology. They are, therefore, frequently the only candidates interested in founding (and sometimes funding) a company to commercialize their technology. This process involves obtaining a license for the patent or patents based on their invention from their university, since, following the Bayh-Dole Act of 1980, the university owns the intellectual property of government-funded research. The edge that inventors have is the extensive and unique knowledge that they have accumulated through their research efforts and exposure to industry over the years. [Page 156]

Managing technology transfer

And more interesting information here about avoiding conflicts of interests at MIT: Policies do not allow faculty members to use students for research and development (R&D) related to a start-up in which that professor has equity, nor may students be employed by such a start-up. A start-up in which a professor has an interest is not allowed to fund research in that professor’s lab. Similarly, a professor is not allowed to conduct federally funded research in collaboration with such a start-up, with the exception of SBIR and Small Business Technology Transfer (STTR) funding. A start-up venture may not be located in a lab. Employees of a professor’s start-up may not be involved in the research activities of the professor’s lab. Research in the lab may not be influenced by a professor’s other professional activities. A faculty member’s full-time employment at MIT prohibits significant managerial responsibilities in a start-up. [Pages 161-62]

Or about making money with Technology Transfer: Many universities expect their technology transfer activities to be profitable and bring in revenue. Although MIT is one of the most successful and experienced universities in terms of technology transfer, its experience shows that this kind of financial gain is a misleading expectation. “Any university that counts on its tech transfer to make a significant change in its finances is statistically going to be in trouble,” said Nelsen. To that end, her motto during her tenure as head of the TLO was, “Impact, not income.” [Page 162]

Many startup stories

Degroof adds anecdotic descriptions of individual companies, rich with lessons: these are BBN (1948), Teradyne (1960), Analog Devices (1965), Prime Computer (1972), Apollo Computer (1980), Thinking Machines (1983), Harmonix Music Systems (1995), Amberwave (1998) ThingMagic (2000), Momenta Pharmaceuticals (2001), SmartCells (2003), Ambri (2010), Firefly Bioworks (2010), Sanergy (2011), Wecyclers (2012), Nima Sensor (2013), Bounce Imaging (2013), ReviveMed (2016), Biobot Analytics (2017), not forgetting Robert Langer’s 40+ spinoffs from 1987 to today!

Internal venture capital – The Engine

My experience with academic venture capital funds is mitigated to say the least. So this is an interesting experiment: Faced with this perceived market failure, MIT’s leadership pointed to the need for patient capital to bring ventures that are trying to commercialize tough science and need more time than do digital businesses to reach a stage where they are ready for venture capital. […] In October 2016, President Reif announced the creation of The Engine, https://www.engine.xyz , a for-profit but public benefit corporation, separate from MIT, that would act as an accelerator for start-ups trying to commercialize “tough techs” by providing advice and physical facilities, as well as an investment fund of patient capital. […] In addition to going against MIT’s policy of not funding entrepreneurial projects, The Engine also broke with Institute tradition by incubating the entrepreneurial projects of its members, which certainly raised substantial objections within the MIT community. [Page 64]

The Engine has a double bottom line: it seeks financial returns and it seeks impact. The Engine raised $200 million for its first fund, with MIT contributing $25 million. […] The fund invests from $250,000 to $2 million per venture, and its investments are not exclusive to MIT-related firms. The investment is made with a time horizon of eighteen years, rather than the typical five to eight years given in the case of venture capital funds. […] Second, The Engine gives start-ups access to infrastructure, such as expensive, specialized equipment, including some from MIT, that otherwise might represent a barrier to entry to firm foundations. The Engine’s facility was initially located in 26,000 square feet of space in Cambridge, with the ambition of expanding to 200,000 square feet through a network of offices, labs, and prototyping and makerspaces a few blocks from Kendall Square. […] Third, the new initiative comes with a network of professionals and mentors in the so-called hard-tech space. [Page 173]

In 2020, The Engine raised a second $250M with $35M from MIT and Harvard University joined as a new LP. Is this different than VC? Will it succeed? Time will tell…

Why you should never look for a cofounder

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This recurring question of looking for a cofounder has been bothering me for years. Similarly I do not like the idea of giving titles in the early days of a startup (project) as you may read here : Titles in Start-ups.

My argument is that you don’t look for cofounders. You have them already, you found them by talking about your project to friends or colleagues. It’s a bit like falling in love, you do not look to marry, you meet people. Point.

Of course, this does not help much, because there remains the loneliness of the entrepreneur. But do we get married just to fill the loneliness? As it turned out, thinking about it, I came across an excellent article in which I totally recognized myself: Everything You Need to Know About Startup Founders and Co-Founders.

Here are some key points:
– A founder is a person who comes up with an idea and then transforms it into a business or startup. If a founder sets up a company with other people, they are both a founder and a co-founder.
– “Founder” and “CEO” are two […] startup titles that people can carry simultaneously. One is a permanent title, while the other is not. “You will always be a Founder or Co-Founder.” Be sure to be careful however how you dole out the Founder/Co-Founder titles. That should be a lifetime title so be sure it goes to the right people who played a major role in the starting of the company and who will continue to play a role in the years to come.
– A founding member can often feel similar to a founder or co-founder because they come on so early in the process that they’re also putting in crazy hours and maybe even taking a pay cut in order to be a part of something important. But a founding team member is an early employee, not a founder. One important difference? The types of stock the two groups receive. Founder’s equity is different from Employee Stock Grants.
– “I’m totally unconvinced that two people can find a person they haven’t known previously, and become effective co-founder,” […] “I think you’re better off finding the money to hire someone than actually find a co-founder.
– If someone has come along a little later in the game, but still early — as in, pre-first employee — then you treat the same any other co-founder! If you’re choosing to add a “co-founder” after you already have employees, though, things can get a little tricky.

One thing is forgotten in the article, it is the investor (friends & family, BA, VC) or institution entering at the creation and from my point of view they are not founders because they do not (generally) contribute to the business…

Finally, the term founder does not seem to me to have a legal existence. It is only awarded by the group of people who recognize themselves as such. There is, however, an interesting example, namely how one of the founders of Tesla filed a complaint against Elon Musk, in particular because he considered that he was not a founder. The complaint is readable here (see page 28).

If you wish to dig a little more, here are two older posts:
– The Founder’s Dilemmas – The Answer is “It depends!”
– Founder without experience, lonely founder.

A MIT entrepreneurial history by Jean-Jacques Degroof

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With an impressive foreword by Bob Metcalfe (the inventor of Ethernet et cofounder of 3Com) who rightly renames MIT a “Innoversity”, Degroof explains in From the Basement to the Dome that entrepreneurship is engrained in the MIT history and culture, not so much from a political decision but from serendipitous events.

Its motto (Mens et Manus, “Mind and Hand” in Latin), its logo, the right given to professors to spend 20% of their time in consulting since the 20s and the creation of the patent committee in 1932 are all indications that practice is as important as theory in engineering science. The importance of military funding through the creation of OSRD was also critical to the richness of MIT’s inventions.

The culture is exemplified by Ray Stata, a cofounder of Analog Devices : “It’s like ‘monkey see, monkey do.’ If you see others start companies and become successful, you say, ‘If they can do it, so can I.’ Whereas if you don’t see that up close and personal, there’s a fear and a mystery about how to do it. The entrepreneurial spirit at MIT gives you confidence.” [Page 17] And what about his experience in business: “I don’t have a clue about how to be a president, but I’m going to take the next twelve months to learn. And if at the end of that twelve months you guys collectively decide, or if the board decides, that I’m not the person who can provide leadership, I’ll step down. But in the meantime, while I’m learning, you’ve got to help me.” Fortunately, Stata’s direct approach worked. “Everybody dug in, and there was then no way I could fail. Over the next twelve months I learned how to be a president, and that process has continued for four decades.” [Page 18]

If you didn’t know Ray Stata, you might have known the building on MIT’s campus with his name.

I wondereed before beginning the reading if Degroof would mention the debate about why Boston did not end being as successful as Silicon Valley. And he does! Early in his book, on pages 24-25. This is a must-read and I am not finished yet. Degroof quotes famous Regional Advantage by AnnaLee Saxenian. I will let you discover.

This table that I had copied a long time ago is another illustration of the differences, not so much between Stanford/Berkeley and MIT/Harvard but about the number of firms spun-off from established firms. Just compare what happened at IBM on the west and east coasts. (PS: I had not initially mention the source of the table, it is part of High-Tech Startups and Industry Dynamics in Silicon Valley, Public Policy Institute of California, Junfu Zhang (2003) San Francisco, California.)

Let me finish this 1st part with another quote by Lita Nelsen, former head to MIT’s Technology Licensing Office: “People say to me, ‘Does MIT have an incubator?’ And my classic answer has been, ‘Yes, it’s called the city of Cambridge.’” [Page 26] This reminds me a quote of Richard Newton, a former professor at Berkeley. He had written stating a colleague of his: “The Bay Area is the Corporation. […When people change jobs here in the Bay Area], they’re actually just moving among the various divisions of the Bay Area Corporation.” This is a critical explanation of ecosystems, they are not so much about institutions but about the fluidity of exchanges between individuals.

Doris Lessing again – about great men

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I wrote in Testament or Testimony ? Lessing, Reich, Grothendieck, Jobs, Arles how much I loved reading The golden notebook.

I just read another strange page which stroke me. And even more strangely, I discovered that the French translation (that I first discovered) was quite different from the original version. Have a look here at the French post if you read French or at my translation below. Here is the original text (but please read until the end of this post for some surprise):

You and I, Ella, we are the failures. We spend our lives fighting to get people very slightly more stupid than ourselves to accept truths that the great men have always known. They have known for thousands of years that to lock a sick person into solitary confinement makes him worse. They have known for thousands of years that a poor man who is frightened of his landlord and of the police is a slave. They have known it. We know it. But do the great enlightened mass of the British people know it? No. It is our task, Ella, yours and mine, to tell them. Because the great men are too great to be bothered. They are already discovering how to colonise Venus and to irrigate the moon. That is what is important for our time. You and I are the boulder-pushers. All our lives, you and I, we’ll put all our energies, all our talents, into pushing a great boulder up a mountain. The boulder is the truth that the great men know by instinct, and the mountain is the stupidity of mankind. We push the boulder. I sometimes wish I had died before I got this job I wanted so much – I thought of it as something creative.

Now here is my translation of the French translation, and it is quite different from the original version!

But, my dear Anna, we are not the failures we think we are. We spend our lives struggling to get people hardly less stupid than ourselves to accept the truths that great men have always known. They have always known, for ten thousand years, that by locking a human being in total isolation we can make him or her an animal or a beast. They have always known that a man who is poor or terrorized by the police or by his owner is a slave. They have always known that a terrorized man is cruel. They have always known that violence leads to violence. And we know it. But do the great masses in the world know this? No. Our job is to tell them. Because great men cannot waste their time on it. Their imaginations are already busy inventing ways to colonize Venus; they are already creating in their minds a vision of a society made up of free and noble human beings. Meanwhile, human beings are ten thousand years behind them, and are locked in fear. Great men cannot waste their time on it. And they are right. Because they know we are here, the rock pushers. They know that we will continue to push rocks on the first foothills of a huge mountain, while they are already free at the top. They are counting on us, and they are right. And that’s why we are ultimately not useless.

I am not sure which version I prefer, but I was quite amazed by what Doris Lessing had written more than 50 years ago, all the more it reminds me again the quote by Wilhelm Reich in the post I mentioned above.

Now shame on me! I had second thoughts and could not believe the translator was so creative so I looked again, and I found this new piece:

‘But my dear Anna, we are not the failures we think we are. We spend our lives fighting to get people very slightly less stupid than we are to accept truths that the great men have always known. They have always known, they have known for ten thousand years, that to lock a human being into solitary confinement can make a madman of him or an animal. They have always known that a poor man frightened of the police and his landlord is a slave. They have always known that frightened people are cruel. They have always known that violence breeds violence. And we know it. But do the great masses of the world know it? No. It is our job to tell them. Because the great men can’t be bothered. Their imaginations are already occupied with how to colonise Venus; they are already creating in their minds visions of a society full of free and noble human beings. Meanwhile, human beings are ten thousand years behind them, imprisoned in fear. The great men can’t be bothered. And they are right. Because they know we are here, the boulder-pushers. They know we will go on pushing the boulder up the lower slopes of an immensely high mountain, while they stand on the top of the mountain, already free. All our lives, you and I, we will use all our energies, all our talents, into pushing that boulder another inch up the mountain. And they rely on us and they are right; and that is why we are not useless after all.’

Why was there Anna and Ella, I should have thought about it immediately. The Ella piece is on page 107 and the Anna one on page 311 of my version. My mistake at least is an indication of the strange richness of Lessing’s novel.

Silicon Valley will soon be 65. Should it be Retired ? – The Darwinian Dynamics of the Region

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Silicon Valley will soon be 65. 65? Yes, I usually say that the region began its growth with the foundation of Fairchild Semiconductor in 1957 (even if the name itself was created in 1971).

endeavor-insight-sv-2-retina

The region is increasingly criticized for both good and bad reasons (see for example here and there) and perhaps it is a little out of breath. Too old ? Ten years ago I had looked at its “Darwinian dynamics” in Darwinian and Lamarckian innovation – by Pascal Picq. I had noted there the remarkable dynamics of creation (and destruction) of businesses. “Twenty of the top 40 SV companies in 1982 did not exist anymore in 2002 and twenty one of the 2002 top 40 companies had not been created in 1982.” So I just did the exercise again.

The table below gives the data for 1982 and 2002 again, then those for 2020. I should have waited for 2022 and the 65th birthday of Silicon Valley, but I didn’t have the patience! Ten of the 40 largest companies did not exist in 2000 and seven more did not exist in 1995. Sixteen of the top 40 of 2002 no longer exist in 2021. The region is therefore a little less dynamic but it remains quite remarkable… The retirement seems to me far away in reality !

As a final comment, five years ago, I had mentioned the evolution of the American capitalism in The top US and European (former) start-ups and in particular The Largest Companies by Market Cap Over 15 Years. You could compare it with the dynamics of French CAC40.

Forty Largest Technology Companies in Silicon Valley
(the same data are provided in jpg format at the end of the post)

1982 2002 2021 Revenue Market Cap
1. Hewlett-Packard 1. Hewlett-Packard 1. Apple $294,135 $2,153,363
2. National Semiconductor 2. Intel 2. Alphabet e $182,527 $1,169,351
3. Intel 3. Cisco b 3. Facebook d $85,966 $787,268
4. Memorex 4. Sun bc 4. Intel $77,867 $194,491
5. Varian 5. Solectron c 5. HP Inc. $57,667 $31,545
6. Environtech a 6. Oracle 6. Cisco $48,026 $192,007
7. Ampex 7. Agilent b 7. Oracle $39,403 $191,539
8. Raychem a 8. Applied Materials 8. Tesla d $24,578 $77,574
9. Amdahl a 9. Apple 9. HP Enterprises $26,866 $15,677
10. Tymshare a 10. Seagate Technology 10. Netflix e $24,996 $236,117
11. AMD 11. AMD 11. Gilead $24,689 $74,058
12. Rolm a 12. Sanmina-SCI 12. SYNNEX $23,757 $6,588
13. Four-Phase Systems a 13. JDS Uniphase c 13. PayPal e $21,454 $277,047
14. Cooper Lab a 14. 3Com c 14. salesforce.com e $21,252 $208,200
15. Intersil 15. LSI Logic 15. Applied Materials $18,202 $78,716
16. SRI International 16. Maxtor b 16. NVIDIA $16,675 $328,615
17. Spectra-Physics 17. National Semiconductor c 17. Western Digital $16,327 $16,183
18. American Microsystems a 18. KLA Tencor 18. Adobe $12,868 $241,275
19. Watkins-Johnson a 19. Atmel b 19. Uber d $12,078 $93,549
20. Qume a 20. SGI c 20. Lam Research $11,929 $69,264
21. Measurex a 21. Bell Microproducts bc 21. eBay e $10,713 $36,576
22. Tandem a 22. Siebel bc 22. AMD $9,763 $115,364
23. Plantronic a 23. Xilinx bc 23. Square d $9,498 $106,173
24. Monolithic 24. Maxim Integrated b 24. Intuit $7,717 $99,872
25. URS 25. Palm bc 25. Opendoor d $7,324 $1,221
26. Tab Products 26. Lam Research 26. Sanmina $6,875 $2,117
27. Siliconix 27. Quantum c 27. KLA Tencor $6,073 $40,492
28. Dysan a 28. Altera bc 28. Equinix e $5,999 $63,238
29. Racal-Vadic a 29. Electronic Arts b 29. Electronic Arts $5,670 $41,368
30. Triad Systems a 30. Cypress Semiconductor bc 30. NetApp $5,590 $14,480
31. Xidex a 31. Cadence Design b 31. Agilent $5,530 $36,607
32. Avantek a 32. Adobe Systems b 32. Intuitive Surgical e $4,551 $92,762
33. Siltec a 33. Intuit b 33. ServiceNow d $4,519 $110,315
34. Quadrex a 34. Veritas Software bc 34. Juniper e $4,445 $7,478
35. Coherent 35. Novellus Systems b 35. Workday d $4,318 $57,934
36. Verbatim 36. Yahoo bc 36. Synopsys $3,821 $39,023
37. Anderson-Jacobson a 37. Network Appliance b 37. Autodesk $3,790 $67,066
38. Stanford Applied Eng. 38. Integrated Device 38. Palo Alto Net. d $3,783 $33,851
39. Acurex a 39. Linear Technology 39. Twitter d $3,716 $44,436
40. Finnigan 40. Symantec b 40. Airbnb d $3,378 $94,765


NOTES: This table was compiled using 1982 and 2002 Dun & Bradstreet (D&B) Business Rankings data and Blommberg data for 2020. Companies are ranked by sales.
a – No longer existed by 2002.
b – Did not exist before 1982.
c – No longer existed by 2021.
d – Did not exist before 2000.
e – Did not exist before 1995.

Same table in jpg format