It computes because it is detached, there is no feeling. To learn, we would need to first create something that is conscious, an ever-changing self. It needs to be in reference to itself, not some notion of compute in a detached paradigm.
It is interesting. He is intelligent and has a very good grasp on reality, but does not seem to know himself very well. (e.g. not being able to control his thoughts and visualizations/memories)
It would be tremendous to master the self as well as reality -- then one could control his emotions and visuals, as well as channel it according to their will.
I think this is one of the reasons TDD/BDD have caught on lately, small refactors are easier to manage than changing large chunks of code.
Looking back at my coding workflow early on, I would often get lost in my own code because I would attempt large changes without testing or version control. Interestingly, instead of developing a better workflow, I first learned to keep more inside my head.
Sensing is easier to model out than intuition. Intuition requires the self component because it comes from feelings and past experiences. The current algorithms are important too, but they do not model the self.
The problem is that showing explicit screens and granting authorization and doing all this stuff manually is not a viable solution. I think it is natural that companies won't do this, specially when they make tons of money from the current model.
Privacy needs to be baked into the internet. This is more central to human needs than a google search or facebook connection. People are doing what is easy and using these services, but once a true privacy service comes up neither Larry/Sergey or Zuch will know how to respond. This will likely be outside of their mental framework and new privacy centric companies will emerge.
The problem here is that the whole security model is upside down. No one else should see or have access to my data.
I am sure that Congress could eventually interfere and set certain rules around the handling of personal data, but more likely, we will soon start seeing alternate technical solutions which puts each user's data in that specific user's hands.
There will come a time when it will not be ethical for companies to store un-encrypted personal data.
Bezos is trying to take over the world, like the guys at Google and Facebook. They are architecting the new world as they envision it. It isn't about just one industry or some obscure way of making profits, it is really about all of it.
Educated/uneducated may not be the right terms, but it is possible to have hindsight just by understanding the landscape.
Privacy is becoming a large problem in the internet and encryption will likely be part of the solution. Without encryption, the ownership of data is on the service provider instead of the person.
Privacy is a feature just like free storage. One day, privacy can be available to the masses just like storage is today. (also think back how many people actually wanted or needed multiple gb of free storage for their emails until one was provided by a service like gmail)
In the large projects that I have seen, when I think about how much of the work being done is the core product vs frameworky stuff and/or integration, I think 100-1000x is more accurate.
The pure business logic constitutes a very small part in comparison, but the type of environment/company also matters. Startups tend to have less fluff than large enterprises.
I don't know about published, but I have been able to measure my campaigns by measuring people's feedback to my posts, clicks on links, total sign-ups, conversions, etc.
Some things work better than others, but there is a definite feedback cycle once you have some followers/fans and provide interesting content.
I disagree with just about everything in this article. Social marketing works and it is measurable.
In my experience, the first step is to gain followers or fans. The best way to do this is through targeted advertising. While it is possible to build a follower base without advertising, it is harder. Advertising gives the advantage of speed and targeting.
The second step is to keep providing people with good content, while at the same time, promoting your product. As you provide content, you can measure the number of comments and get a feel for peoples' thoughts. This becomes easy after a while because you become accustomed to your audience and know what they like.
Does this mean that you are going to be able to sell your product? It really depends on your product and the market, just like with anything else.
I would question the product-market fit before I questioned the value in social marketing.
You're right, but we need more transparency. What are the skills of the 9% or so of people that are unemployed now? Do the majority of the unemployed people work at similar types of jobs? What was the reason they lost their jobs?
These are all important questions for reducing that one overall number, but everyone seems to be just focusing on the total number.
While the overall unemployment number is a good indicator for the economy, it is far from the best indicator. Instead of looking at an overall "jobs count", perhaps we should be looking at how the state of technology (or the job market) is improving the overall efficiency in the economy. After all, our lives improve as technology becomes more efficient.
For example, while Amazon may step on the shoes of the likes of Borders, look at what it is doing for consumers. On a global scale, we should be focusing on improving the lives of people, but at the same time we should continue to promote competition.
The unfortunate consequence of competition is that some people lose out. To rectify this, perhaps we should focus on creating the right types of jobs and promoting constant education. In addition to the unemployment number, I wish we could see some additional metrics.
At a previous job, I was responsible for data management and business intelligence. My team basically looked at the company's numbers and sliced and diced it every way possible. I would love to see some more metrics from the government. I would also love to see some better tools developed by the government to help us visualize the data. (One tool that comes to mind for this sort of stuff is an OLAP cube)
Without going too far away from the point, a simple "unemployment number" isn't enough. Let's look at some more data and see where the problems are. Also, let's make this transparent so that people start talking about the details instead of one number.