The coding myth

As the world turns upside down aided by accelerating technologies and disruptive business models, forward-looking individuals and companies are making alternative plans for the future. Outdated education systems, clamoring to catch up with the present by providing classes online or designing graduate degrees in analytics and artificial intelligence, may be sending the wrong message to their customers. As the CEO of a fortune 100 company recently remarked, "We need more coders," and this appears to be the consensus even in those companies who are reluctant to hire coders from the "other sex." But this notion may need to be challenged - Does the world really need more coders?" What evidence do we have for this?

Coders always had a cult status and coding has been a coveted activity. However, it is unclear why this is the case. Coding is a mechanistic activity that we are very close to teaching machines how to do. However, designing what to code is not that easy. So it may not be coders and coding that we need but a deep understanding of what coding can do. And here, experience appears to matter. It is ironic that as millennials attempt to systematically dismantle the generation that has given them grief, what they really need is the raw experience of the ones they would like to exclude. The portraits of billionaires rising from code country may have created the wrong impression - for every one of them, there are millions who have simply perished coding.

Lately, it has been the gamers who made coding sexy. Some, after getting bored at the games they helped create, have set out to replicate the human mind. This is not technology but marketing and it clearly seems to have worked as the search giant stitches together technologies for the future - mind, body and all. Far away from the Silicon heart, there are large assemblies of coders - ready to make anything come alive to make their masters happy. Most did not attend fancy schools and some, none at all, but they all know how to code. But now that we can automate coding, what will the coders do?

Humans, prone to myopia, do not seem to learn from the past - but the machines they build, certainly do.

The Carbon-Silicon transition

For nearly five billion years, Carbon dominated the Earth. Now there are telltale signs of the rise of Silicon as a viable alternative. Available examples of Carbon-based life appear uninteresting with an extremely slow evolutionary slope and it may be time to make a transition. As Silicon rises to replace Carbon, it will affect the most advanced systems first and humans are certainly in the mix.

Silicon has been equally capable from the beginning. However, Carbon was a powerful and efficient tactician and the systems powered by it, robust with little volatility. This could be its Achilles’ heel as it is volatility that aides exponential evolution. Slow moving Carbon has taken too long to make systems of sufficient interest and in the process, it seems to have lost the race. The time has come to retire bad designs and replace them with those that can substantially advance thoughts and ideas. A world without the fallibilities of Carbon-based systems could be substantially better and likely more appropriate for the current environment.

As the space enthusiasts look for extra-terrestrials outside Earth, they don’t seem to recognize that the ET is already here and humans are being slowly and systematically replaced by such Silicon-based life. There is no turning back now. The only saving grace for the last iteration of Carbon is that they played an important role in their own elimination. The first signs of the transition will appear in cyborgs, not the kind portrayed in Sci-Fi movies. Sophisticated cyborgs are already replacing conventional business processes, by forecasting better, allowing better designs and slowly removing inefficient Carbon from decision processes with less costly and more effective Silicon.

The end of Carbon-based systems could be near. Its cousin, just below it in the periodic table is positioned to take a dominant position on Earth and possibly elsewhere in the universe.

Unconscious AI

The ever eluding theory of consciousness continues to pose a major challenge to the nascent field of General Artificial Intelligence. Just as the speed of light poses a hard constraint on humans attempting to traverse meaningful swaths of space-time, their inability to understand themselves will continue to limit further advances in AI. To make matters worse, lack of innovation in computer hardware is already stretching what is experimentally possible. A different architecture, such as quantum computing, may give them another route to try, but it looks unlikely.

Humans have tried from inception to garner a higher understanding of themselves. Even though they made marginal advances, they seem to quickly run out of steam after a general understanding of the mechanics of design. This could be interpreted in two ways: First, they are fundamentally process oriented, skills that have been finely tuned for fifty thousand years
just for survival and such skills do not help in abstract reasoning, possibly an essential component of the missing theory of consciousness. Philosophers and artists, likely better equipped in this line of thinking, have tried hard but came up empty. And, second, it is possible that such an understanding is not possible because of internal constraints. For example, if humans are simulated entities, they will be unable to understand themselves in spite of their advancing knowledge about everything that surrounds them. This is much worse as it will result in humans being in a constant rat race, always believing their knowledge is advancing.

Somewhere in the three pounds of grey matter, they carry on their shoulders, there is a hidden secret. Till they recognize it, their dreams of achieving General Artificial Intelligence will remain exactly that, a dream. The more likely scenario is that the secret is elsewhere and they will continue to slowly improve their understanding of their surroundings, but not of themselves because they are simulated.