I found out the true hero in the infrastructure that had to be maintained in the code of a very long boring chain of public that the screen was flooded with AI projects purportedly possessing the computing power needed.
Artificial intelligence is everywhere in our time. New project is designed on a day to day basis. Both of the projects present unlimited computing power, disembarkation of models, decentralized intelligence and gigantic returns indefinitely. The websites look beautiful. The roadmaps look perfect. The marketing is loud. The promises are even louder.
But upon glancing over the shoulder I feel that I am seeing something totally different as the item being promoted about. The large computing nets are referred to in most of the so-called AI projects. They are proud of the fact that they possess thousands of GPUs and they can utilize it to train sophisticated models. They show dashboards on which they possess figures. Their discussion is concerning speed, scopes and performance. However, in the event that an individual tries to demonstrate such statements, he/she would not have anything tangible. Inadequate infrastructure. No solid technical base. Only words.
This, in my mind, is one of the crucial problems of the contemporary AI and blockchain domain. It is easy to say "AI." It is easy to say de-centralized compute. Quite on the contrary, it is much more challenging to create actual systems, where corporations can give up the information and processes.
I was so tired as I kept on scrolling the list of the promotions and announcements. Everything sounded the same. The enterprises were all of new generation. The two tokens were both game changers. But none of them felt solid.
There was something bizarre that happened in the period.
Even the hype did not make me subscribe and the repository of a public blockchain code became unfolded before me and would be considered to beiedenturnt by the majority of people. It failed to possess sizzling marketing. It was not trending every day. It was failing to give magic returns. There it was, and it was running without a noise.
I began reading the code and I began to know something very profound. This was not an effort within this chain to sell computing power that it was not selling. It was not faking to be a supercomputer. It was highlighting on reliability, state management, security and provability.
This does not look hard in the first place. Maybe even unimpressive. However, when I pondered over how the reality of how the big businesses are run is, I understood that this is what they need.
A large corporation does not need any audacious pledge. It needs stability. It should know that this information will be correct by writing of data. It must possess predictable performance. It necessitates the expansion of the amount of traffic with non-failing systems. It should possess verifiable and sound infrastructure.
These grounds were hesitating to provide me by the dull sequence of which I was reading. It has been evolved in a particular architecture. It distorted the statal changes in a very conspicuous way. It separated a clear distinction between reason and reason. It has not been over-elaborated. It also gave the option of checking.
Here I took a different turn of opinion.
The existing AI endeavors are inclined to concentrate on the primitive computer technology. The two are also engaging in tussling on the size of the GPUs they allegedly have. Nevertheless, these are not the only features of the reality of the existence of real AI systems in companies. They are preoccupied with the data management approach, authorization and reforms, documentation and appropriate stability, both in the long and short term.
This is because the best model is not practical as the infrastructure that supports it is quite poor. An organization could not dare to put its business on shaky systems.
This is how I call this chain a lifeline. One can say that it is a dull structure on the outside which can sustain a huge infrastructure on the inside. The encouragement is the fact that no one is talking but everyone is cashing on it.
This contrasts with the flashy projects of AI and the difference could be discerned. A majority of them are selling infrastructure. They talk about distributed compute and fail to exemplify how it can be scheduled. They discuss the transparency but they do not disclose the real verification tools. They are discussing of decentralization and to want to have a control.
On the other hand, the community chain which I attended was not a revolutionary one. It was simply a gesture of its feeling. Anyone could inspect it. Any individual was able to familiarize themselves with the way transactions can be conducted. Any individual could have been listening to what was happening.
Such an open receptiveness toward myself is more than any claim to open ended GPUs.
It seems to me that noise will not be a part of the future of AI infrastructure. It would be grounded on simple solid and verifiable systems. It will not be sensationalized towards the real enterprises who will see the fruits of AI in conducting their business activities. They will not want dash boards that glitter.
Another lesson that I was exposed to in this experience is attention. We are usually attracted to a glittering thing. The radiant light at all times may not necessarily be the most effective ground. The actual revolution is silent in certain cases. It has been disguised sometimes in the clean code, conscientious design and work-long engineering.
The more I read her so called boring chain the more I admired it. And it was not even trying to impress me. It was trying to do what is right. And there is all right in infrastructure.
I think that AI space should not turn out to be as misleading as it is in my case. It also does not presuppose such hyperbolical statements and open systems. It must be done with the realization that building trust is a comparatively time consuming process that should be accomplished by being dependable and honest.
There is a lot of noise on the screen and even the silent systems which count are not audible. However, the moment you learned about them you know that they are the roots of the progress as well.
It will not be the future of those who will shout in vain most about the artificial computing power. It will be among the ones that develop infrastructure on which companies can count on a regular basis.
and even that future opens some times with dull communal chain and an inquiring mind is disposed towards reading the code.