Photovoltaics in Mission Bay neighborhood = 30% wasted

TL;DR In Southern California should put PV on houses and buildings that are far from the coast, because coastal areas are cloudy much of the summer. But the actual pattern is the opposite. I estimate a 30% magnitude of loss. Even my employer, UCSD, has engaged in this foolishness in order to appear trendy.

The bumpiness of this graph shows the effects of coastal weather in August.

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Very good news: “Exhaustion doctrine” strongly supported by Supreme Court

SC overturns Lexmark’s patent win on used printer cartridges. Since the 17th century, restricting resale has been “against Trade and Traffique.”

Source: Supreme Court overturns Lexmark’s patent win on used printer cartridges | Ars Technica

Summary: once a product is sold, the original patent holder can’t control how it is subsequently used.

Not the only seller.

Today’s ruling is a win for many tech companies, with companies like Vizio, Dell, Intel, LG Electronics, HTC, and Western Digital all taking the side of Impression Products. [the winner] …The companies on Lexmark’s side, no surprise, were heavy licensers of patents, including tech giants like Qualcomm, IBM, Nokia, and Dolby. Biotechnology and pharmaceutical groups also supported Lexmark. Those lineups largely mirror industry divisions over Congressional debates around reforming patent laws, with the pro-Impression companies favoring user-friendly changes to patent laws, and the pro-Lexmark companies wanting more changes that favor patent owners.

I often gripe about the Supreme Court’s seeming “go with the big $” jurisprudence. But in this case, there was plenty of corporate power on both sides. And the 7-1 verdict means it was not a close call.

Theranos as innovation+disaster case study

I just taught the Theranos case in my course on “Innovation and Industry Development,” co-taught with Prof. Elizabeth Lyons. The first half is about positioning a startup: powerful new technology, established incumbents, how should we enter to disrupt the industry and make the world a better place? Any moderate set of numbers makes Theranos’ reputed  $9,000,000,000 valuation look reasonable.

Der Untergang der Titanic

The “case” presently consists of four articles. I put together a set of overhead slides to generate and lead the discussion. The first half ends with some general lessons about disruptive innovation and whether to follow an open or closed IP strategy. The second half starts in December 2015 and discusses the crash. I also compare Theranos with the Google contact lens (another technically impossible pseudo-invention).

“That’s a type of Silicon Valley arrogance,” he said. “That isn’t how science works.” (re Google, not Theranos)

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Lots of technology policy stories this weekend

There are lots of technology-policy-related stories this weekend.  The first three concern about excess market power in tech markets, and its effects. The remaining three are miscellaneous subjects at the intersection of technology, policy, and politics.

Suggestion: If a newspaper is refusing to let you read an article, you can often get it by searching for it (on Google – irony alert, see one of the stories below), and visiting from the search result.

And a humble brag: Only the last of these stories directly concerns He Who Must Not Be Named. Nor did I mention Juicero, whose idiocy I tweeted about when it first came to market.

Is It Time to Break Up Google?

In just 10 years, the world’s five largest companies by market capitalization have all changed, save for one: Microsoft. Exxon Mobil, General Electric, Citigroup and Shell Oil are out and Apple, Alphabet (the parent company of Google), Amazon and Facebook have taken their place.

They’re all tech companies, and each dominates its corner of the industry: Google has an 88 percent market share in search advertising, Facebook (and its subsidiaries Instagram, WhatsApp and Messenger) owns 77 percent of mobile social traffic and Amazon has a 74 percent share in the e-book market. In classic economic terms, all three are monopolies.

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Big data and AI are not “objective”

AI, machine learning, etc only appear to be objective. In reality, they reflect the world view and prejudices of their developers.

 Algorithms have been empowered to make decisions and take actions for the sake of efficiency and speed…. the aura of objectivity and infallibility cultures tend to ascribe to them. . the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems. This report highlights the added risks and complexities inherent in the use of algorithmic … decisionmaking in public policy. The report ends with a survey of approaches for combating these problems.

Source: An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence | RAND

The 50 Greatest Breakthroughs Since the Wheel – The Atlantic

Why did it take so long to invent the wheelbarrow? Have we hit peak innovation? What our list reveals about imagination, optimism, and the nature of progress.

Source: The 50 Greatest Breakthroughs Since the Wheel – The Atlantic

A few years old, but still interesting. For example:

By expanding the pool of potentially literate people, the adoption of corrective lenses may have amounted to the largest onetime IQ boost in history.

Schumpeter: The University of Chicago worries about a lack of competition | The Economist

Its economists used to champion big firms, but the mood has shifted

Source: Schumpeter: The University of Chicago worries about a lack of competition | The Economist

There is an emerging consensus among economists that competition in the economy has weakened significantly. That is bad news: it means that incumbent firms may not need to innovate as much, and that inequality may increase if companies can hoard profits and spend less on investment and wages.

Yes, I certainly see this in tech fields.The double consequences are scary.

Thanks to colleague Prof. Liz Lyons for suggesting this.