A lot of these new buildings are in less desirable neighborhoods. SOMA is desirable from a convenience to freeways and work standpoint, but it does not have the charm of the more established neighborhoods. I wonder if some of the glut is simply that the new housing is in areas where high end renters don't want to live.
Uber seems to offer quite generous bonuses to drivers who complete milestones (e.g. $600 bonus for 100 trips in a week, for instance). Every time I've chatted with a driver in Oakland, it seems that the bonuses are generally in the $5-7 per trip range. I've also been alone for many Uber Pool rides where I am nowhere close to being an economically viable passenger for the driver ($6 for a ride that costs the driver at least half an hour of time and requires more than 10 miles of driving).
Somewhere in between. A simple question I use is "how do I decide whether to add a feature to a classification model?" Most candidate are fine until I bring up the topic of correlated features.
Companies that have a research division and a separate engineering team to implement the research ideas are rarely successful. Anyone engineer good enough to do the implementation will figure out they can build something better without the input of the researchers. Microsoft and Yahoo both had great research teams whose ideas rarely saw the light of day.
I hire machine learning engineers and data scientists. In my opinion there is a great shortage of truly qualified machine learning engineers. A lot of people are entering the market with a general knowledge of machine learning tools. These people should be considered analysts or product data scientists. When it comes to people that can build machine learning systems that work at scale, they are very rarely available for hire and often are the subject of bidding wars by multiple companies. The key difference is whether the candidate truly understands the mathematical and statistical basis of machine learning, has the programming skills to execute their ideas, and is able to write code that can be used in large scale production systems and can be leveraged by others.
The second thing a CEO should focus on is building a repeatable sales model. Some products "sell themselves" but most products need a lot of experimentation with the sales model until they become profitable.
The biggest labor need in the next 40 years will be caring for the elderly. When my father was out of the hospital after an operation and needed live in care it was insanely difficult to find at any cost. This is work that cannot be automated.
One place I'd love to try prediction markets is with product changes undergoing A/B tests. A product manager could submit an experiment and people at the company could bet on what the product change will do to engagement/revenue/growth metrics. This framework could eventually be used to weed out product changes before they are built. It would be particularly useful when the product change is driven by the leadership and most of the rank and file think the direction is wrong.
This may be a case where the European Union antitrust authorities mandate that Apple do something different. This seems to be a textbook case of monopoly status in one domain being used to exert a monopoly in another (headphones).
To further this point, it is much faster to get a green card if you possess a Ph.D. rather than a Master's degree. Not only can you apply for the outstanding researcher category, but I believe you also get priority for the regular process. For Master's holders, the process in 5+ years now.
I wish that my ISP (Comcast) would throttle Netflix in the evening. My internet bandwidth gets reduced to 200 kbps during prime time (roughly 9 to 11 PM). It makes it challenging to work, especially if I need to stay connected to a VPN.
Housing is also expensive because of the California building codes. These include things like double pane windows, copper pipes and energy efficient appliances. These raise the cost of new construction compared to other states, but lead to long term lower home ownership costs and reduced energy consumption. If we are serious about climate change we need to create such regulations. Buyers will chose cheaper houses if given the choice.
The casual carpools in the East Bay save a lot of time going into San Francisco because of the carpool lane. Very few people use them in the reverse direction (people take the bus instead) since there is no time saving. AC Transit hates this since they need to buy more buses for the evening commute. Curious to see if the same asymmetry happens with UberCommute.
I suspect 3D touch will cause more cases of iPhone induced tennis elbow. Matt Bonner (San Antonio Spurs) and I are two victims. Forcing us to press harder will trigger more cases.
I was 10 at the time and my father was a typewriter repairman. He purchased a Mac the first day it came out. To that point, the IBM PC had not affected the typewriter repair business because of the archaic document preparation programs then in use (similar to latex). When I hooked up the Mac and started typing a document, my father said "oh shit" and knew that his business was done. I then went to print the document, and the printer didn't work because the first batch of printer cables were defective. Nonetheless, 30 years ago today the office was transformed -- dedicated typists were no longer needed because people could prepare final copies of their own documents.
Social networks are winner take all markets, whereas Dropbox is not in such a market. Twitter, Facebook, and LinkedIn are all trading at 20-40 times revenue based on the fact that they enjoy strong network effects.
This article misses an important point. The reason that Sonny Bono was interested in extending copyright is that he was a scientologist, and the Church of Scientology is deathly afraid of their works reaching the public domain. If I remember correctly, they were among the main lobbyists for the last extension.
By simply adding autonomous cars to the current infrastructure, it doesn't improve peoples lives in a directly obvious way. They can't go any faster, and traffic does not get reduced. Yes, there is the imperceptible benefit of a slight reduction in the probability of death, but a recent New Yorker article pointed out that antisepsis was slow to be adopted because the benefits were not as easily measurable -- in contrast, anesthesia, invented at the same time, was adopted worldwide almost instantly. I personally would only buy a driverless car if it meant I could immediately get where I am going twice as fast. Otherwise, I rather enjoy driving.
I don't see any feasible way to transition to high speed linked autonomous cars. Unfortunately, there are a lot of people who need to get to work via car, and these people will not be able to afford a new car. Transitioning from a driver based to a driverless technology would take a government intervention in the economy that is unacceptable to most Americans. If we utilize the same road system, there would need to be massive subsidies for the poor to swap out their cars and we would need to outlaw classic automobiles. Creating a separate road system would take a massive public investment.
This product makes it possible for restaurants and wine snobs with large collections to serve high end wines by the glass. Not for the average under $20 bottle wine drinker.
Keep in mind that many localities utilize car rental taxes at airports to subsidize public bonds unrelated to the airport. This a particularly good way of paying for publicly financed stadiums. Airport Car rental taxes are popular with local voters because they don't actually tax local voters. Hotel taxes are also popular for this reason.
This increase in traffic are not being seen in the unique visitor counts measured by Compete (https://siteanalytics.compete.com/duckduckgo.com/). It appears as if a loyal core of duckduckgo users are switching to it entirely. Alternatively, duckduckgo users are not tracked by Compete, which is entire possible since I believe Compete gets their data from browser extensions that don't respect privacy. Note, Compete data is old, and wouldn't reflect this surge.
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Time has a different meaning at the South Pole if you are working with offsite people, as is typical of the science winter overs. "Day" is when the internet connection is working. "Night" is when it is not. There is only satellite coverage for half the day.
Labor laws make these sorts of arrangements difficult in other jobs. If the job requires that you go to the office and utilize the employer's equipment, you generally can't work as a consultant. Also, there are issues with workers compensation insurance. Most people also prefer full time work as it has benefits such as health insurance.
Another Silicon Valley startup solving a uniquely Silicon Valley problem. It's amazing the amount of effort and investment that goes into the problem of finding engineers, and comparatively how little goes into the rest of the labor market.
They did have a monopoly on trustafarians (wealthy college students that want to follow a band for the summer) after the Grateful Dead stopped touring. There is a new supply of trustafarians every year.