It’s impossible to deny that the influence of Artificial Intelligence has wriggled it’s way into the least expectant sections of our daily life, and will continue doing so until we reach an ultimatum. Even just a couple years ago, towards the end of the Covid 19 pandemic, LLMs (Local Language Models) were simply a fever dream sprouted from the combined work of data engineers and computer scientists. At this point, models were barely producing legible text, and had small input windows. Development of AI is exponential, and will continue until humanity supersedes any known limits, or rips itself apart at the seams. Take, for example, the development of AI in the past two years. We have gone from GPT-3.5, a model that was conversational, to GPT-1o, an advanced AGI (Artificial General Intelligence) model more capable than a PhD professor in any known educational subject. To put the rapidity of this development into perspective, 2 years is roughly 0.001% of the time humankind has spent on Earth.
Some of the older generations are continuing to deny the rapid change in technology. People over the age of 40 will clearly see this transition. By the year 2000, 97% of American households owned a landline Source , and by the year 2020, 96% of people owned a mobile cellphone Source . Over the span of 20 years, mobile cell phones became twice as common as a telephone capable of making a call.
Our world is changing, and it will continue to change for the foreseeable future. Every person must adapt to the use of these new tools, and must not deny the effects of them on their lives. Just as the development of the internet allowed nearly instant communication around the world, and completely changed the job market, AI will do the same. With just a text prompt, consumer users can now generate entire documents, pictures, video, audio, and more. Predictive analysis using AGI is already being used in nearly every field on the planet. Models trained on medical data are able to predict the effects of new molecules on human patients, with groundbreaking accuracy. On the flip side, generative models are also being used to predict the creation of deadly chemical weapons. It took less than six hours for drug-developing AI to invent 40,000 potentially lethal molecules.
The rate of change is not going to slow down anytime soon, with top companies such as NVIDIA, Intel, IBM, ASRock Rack, ASUS, GIGABYTE, Ingrasys, Inventec, Pegatron, QCT, Supermicro, and Wistron and Wiwynn investing heavily into the continued development of AI systems. NVIDIA founder and CEO Jensen Huang said “Accelerate everything,” at the recent COMPUTEX convention, in context of his announcement of new NVIDIA systems, such as NIM and physical AI-powered robots capable of industry scale work and household tasks.
It’s easy to identify the influence of AI and Machine Learning systems in everyday life when you look for it. Home assistants such as Siri, Alexa, and Google Assistant use some form of ML to help with simple tasks. Many school students take advantage of this while using assistants for simple homework tasks. You’ve used forms of ML while looking for TV recommendations, while shopping for something on Amazon, or even while navigating roads using Google Maps. These are simple systems in comparison to modern AGI models, yet they are relevant in understanding the context behind their development.
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