Please watch: "Why NEURALINK is a Really Bad Idea" https://www.youtube.com/watch?v KYdpE... -- -- Figured Sunday would be a nice day to give a little introduction to this channel, and how it will explore Artificial Intelligence in the future.

The Ape Machine - Introduction & Channel Trailer Please watch: "Why NEURALINK is a Really Bad Idea" https://www.youtube.com/wat...... -- -- Figured Sunday would be a nice day to give a little introduction to this channel, and how it will explore Artificial Intelligence in the future.

By now you are probably aware of Elon Musk's performance at the National Governors Association's meeting, where he proceeded to express his deep concerns about artificial intelligence, and that there is a need for regulation and for researchers and companies to "slow down." No doubt about it, things are moving fast, and some people calling themselves experts are even saying that we are moving a lot faster than earlier predictions by other experts. Whether that is true or not, I think we can all agree that we need to start actively and openly discussing the safety concerns surrounding A.I. Meanwhile, we also need to start identifying the true valuable resources in this field when it comes to expertise, because sure: Elon Musk may have invested in start OpenAI, but that does not make him an expert, and after his remarks recorded on video, most of the truly important machine learning researchers have spoken out against him. Elon Musk is first and foremost a businessman, and we need to realize that when taking in his words, and question what his motivations are when he say he thinks there should be more regulation, and other (competing) companies should slow down their research.

What really frustrates me about this story is, as so many times, the public's reaction to this. I see people literally commenting on this story about how the are scared for this "new development" and how "a regime like that should never have access to tools as powerful as A.I." Of course this kind of fear is massively out of proportion, especially for where we are with machine learning at the moment, but even if we assume that more powerful artificial intelligence will follow in the near future, there are way bigger concerns that should be plaguing a mind like this right here and now. China has had nucular weapons since 1964 for instance, and I think that poses a way bigger threat than killer robots or weaponized artificial intelligence, at least for now. Don't get me wrong though, I am in now way frightened that China will launch an attack or anything like that, I just think they are doing exactly what any other powerful country in their position would do, they are growing with the times. How is this any different from the United States developing the same kind of technology, with the same intentions, and as always with the same drive to be the world leader in this new sector.

Demis Hassabis, founder of DeepMind, recently spoke out about his vision on how to reach the "next level," of artificial intelligence. His strategy is, predictably, to reconnect with the field of neuroscience, to study natural intelligence, in the hope of mimicking these processes inside the machine. While I have shortly cover my opinion on this before, I want to take another pass over this topic to see if the opinions of multiple high ranking experts are able to make me change my mind about human like artificial intelligence.

Very simply stated: A.I. is super hot right now. Yet, what is not so hot is for journalists and other creators of content to do their very best to make sure the information being spread out there is as accurate as possible. We have seen a very good example of that just recently with the whole "Facebook's A.I. creating a new language" farce. A good rule of thumb a the moment is to mentally replace the words "artificial intelligence" with "machine learning" at the moment, and educate yourself on the difference. Once you have this little adjustment taken care of, it will be much easier to distinguish between machine learning models that are performing a task, often more efficiently than any human could ever do, bounded by the parameters of this one task, and more generalistic (true) artificial intelligence, which should perform more like a human would, or at least that is what many people hope to achieve.

Nothing beats a traditional good book about a subject, and even though it may be old school compared to the other tips I will provide after, there is something to be said for the amount of time and level of detail to goes into the writing of a book on a subject. In my opinion, a book does not only provide the deepest knowledge laid out on subject, but owning a physical object to surround yourself with also helps you stay inspired on your quest to learn a new skill. Here are a few that I recommend. Considered an esssential book to start machine learning. A lot of data scientists recommend this one, and many claim to have read it multiple times.

Most researchers you speak to these days predict that after the boom of neural networks in machine learning, we will reach A.G.I. (artificial general intelligence), and then soon A.H.I. (artificial human intelligence), until the final step A.S.I. (artificial super intelligence). While this seems like the most logical path, and a solid theory based on logic, does this mean that we should rigidly follow this direction? There are a lot of downsides to especially the artificial human intelligence step, both in the implementation details (which can be overcome), as well as the implications it will have on the following step, artificial super intelligence.

If you have any kind of finger on the pulse of today's developments in Artificial Intelligence you know about the big piece of no-man's land that lies in between the Utopian dreams, and the apocalyptic nightmares. I myself live in that no-man's land, because most of what I produce literally explores the apocalypse, just because it is so much more fun to write about, but in my research and development I still continue to explore A.I. without any fear that things will get out of hand any time soon. Now, you could say that stems from a lack of belief in my abilities to achieve my goal, which is to make a more generalistic artificial intelligence, but personally I don't believe that to be true. There is however something that I have seen more and more talks about lately, and that is the concept of human compatible A.I., by which we are referring to artificially intelligent systems that can peacefully co-exist next to humans, and never form an actual threat to humanity. This, I believe, is very difficult to imagine, even if it was purely to conceptualize a compatibility between something that is super-intelligent, and a species that has pretty much reached maximum mental capacity for at least a handful of evolutionary ticks to come. By now there are endless examples of the "rogue A.I." scenario, from the stamp-collector to the spam-filter, and they all come down to basically the same thing.

This is crazy: I can not believe the amount of hype this is getting at the moment, and it seems you can not even turn your back for five minutes at the moment, or somewhere a new media explosion will start with inaccurate information about artificial intelligence. And, when I say artificial intelligence, I obviously mean the misuse of the term artificial intelligence. Of course, if you go digging deep enough, you might find some real machine learning researchers, and maybe even the people directly connected to this project, talking more level-headed about this particular subject, but let's be honest, most people get their information from the big media sites. You know, the ones who are not well versed on the topic, but instead just rewrite articles from their peers. In any case, I wanted to cover this because a lot of my friends on social media who know I am working within this sector are sharing this story with me at the moment, and I may as well get my 2 cents out there, so I don't have to respond to every single share.