The development of AI can be traced back for decades. But it only recently became a race towards supremacy, following the rise of large language models (LLMs).
Large language models (LLMs) have become the hype of technology. With high demand comes high supplies. And Anthropic as one of the key players in the arms race, wants to be a little different.
When asked whether AI might eventually rank as the greatest productivity multiplier in human history—above electricity, the Industrial Revolution, or even the Agricultural Revolution—Sundar Pichai didn't hesitate to reaffirm a belief he’s held for years.
The story of AI, particularly large language models (LLMs), has been a journey from rudimentary rule-based systems to the sophisticated, human-like conversational agents we see today.
This progression began with early steps in Natural Language Processing (NLP) back in the mid-20th century. By the 1980s, the field shifted towards statistical models, and the 1990s brought significant advancements with Recurrent Neural Networks (RNNs) and the groundbreaking arrival of Long Short-Term Memory (LSTM).
AI has long been a fixture in science fiction because it taps into humanity’s deepest hopes and fears about technology and control.
In the quest to build, improve, or fix anything—be it a product, a service, or a system—there’s one truth that often gets overlooked: owners of a company shouldn't go seek the answer to the executives of the company.
Also, they shouldn't go to the engineers for clarification and explanation, nor they should observe data dashboards and rely on analytics. Instead, if they want to understand how something truly works—and how it doesn’t—they have to go straight to the consumers.
The conversation around AI often drifts toward a single, unsettling conclusion: machines are coming for our jobs. But as with most technological shifts in history, this narrative is far more complex than it appears.
In the cult of modern productivity, no figure looms larger than Elon Musk. Love him or hate him, he has carved himself into history through sheer willpower, obsessive focus, and a work ethic that’s become the stuff of legend.
As the man behind Tesla, SpaceX, xAI, Neuralink, and X, Musk is more than just a name—he’s a force. His companies build rockets, electric cars, AI models, social platforms, and brain-computer interfaces, all at once.
AI has become the undisputed hype engine of the tech world, and the momentum shows no signs of slowing down. With tech giants racing to develop smarter, faster, and more context-aware models, the fascination surrounding AI is only intensifying.
Humans have long been astonished by computers. When these machines first emerged, they felt almost magical—capable of solving problems at speeds no human could match, executing tasks with perfect precision, and transforming industries one algorithm at a time.