<p>Many believe that technological innovations quickly displace old solutions, but history shows the opposite. The steam engine, invented in 1712, may have seemed like a revolution capable of soon replacing horses and manual labor, but in reality, it took almost a hundred years before steam engines began to be used in transportation, and another fifty years in industry. Even giants like railroads and steamboats waited a long time for their era, until technology caught up with expectations.</p>
<p>Why did it take so long? The reason lies in the low efficiency of the first models, their enormous weight, and dependence on cheap fuel. Breakthroughs, such as James Watt's improvements, provided a push, but it took decades for their implementation.</p>
<p>Today, similar problems are observed in the development of AI. Although models like GPT are impressive, real integration into everyday processes is a long road. Issues of scalability, enormous energy needs, and the necessity for data—all of this slows down progress.</p>
<p>Historically, world-changing technologies often face unexpected barriers. Let's recall radioactive research from the late 19th century or the first computers in the mid-20th century: the time between discovery and widespread application always turns out to be much longer than enthusiasts predicted.</p>
<p>So how many decades will it take for a complete transition to AI and generative models? History teaches us that even the most powerful innovations require time to become everyday reality.</p>
<p>#ai #agi #gpt #technology #history #future</p>