The term exponential gets thrown around a lot. Unfortunately, it is not a concept that is natural for us humans.
In this video I discuss how we are looking at a move forward that dwarfs our human evolution. If we look at the last few hundred years, there are many huge changes.
▶️ 3Speak
This is an interesting discussion. I think throughout our history there has usually been a divide or wall that separates Software and Hardware. There didn't feel like too much of a collaboration between the two, where they push the other even further. The closest I've seen before was with the computer graphics and graphics card. Usually, it is the hardware that is the bottleneck. But with AI and robotics, it seems the line has blurred. It is like we are just waiting for the software side for us to attain better robots. And once we do, productivity will skyrocket, and more advancements will come.
The separation has been bits versus atoms.
Yet we are seeing that merging. So how does this change things.
That is a good question. If software enables the creation of better hardware (smaller processors, transistors, chips, etc through better design, and better robot capabilities), and better hardware produces stronger software (generative AI, inference, metaverse, etc), this can have a snowball effect. If they can create 1:1 version of the world in the metaverse they can do more accurate simulations there before creating the actual things. The possibilities are endless.
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The host discusses the rapid pace of technological and societal evolution that humanity is currently experiencing. He notes that human evolution has traditionally been slow and methodical, with little change from one generation to the next. However, in the last 250 years or so, the rate of progress has accelerated dramatically, particularly in the digital and technological realms.
The host highlights key milestones, such as the printing press, the rise of personal computers, the internet, and the recent emergence of chatbots and large language models like ChatGPT. He argues that the pace of change is now so rapid that it is difficult for even younger generations to fully comprehend, as they lack the contrast of experiencing life before these technologies.
The host believes the next phase of AI development will focus on spatial awareness and integration with mapping software, enabling autonomous vehicles, robots, and other systems to better navigate and interact with the physical world. He sees this convergence of digital and physical systems as creating exponential advancements in the coming years, potentially putting us an order of magnitude further along by the end of the decade.
Detailed Analysis:
The host begins by emphasizing the evolutionary progress and accelerating pace of technological change that humanity is currently experiencing. He notes that human evolution, both biologically and societally, has traditionally been very slow and methodical, with little difference in the day-to-day lives of people over the course of centuries.
However, the host argues that in the last 250 years or so, the rate of progress has increased dramatically. He cites examples such as the move from 1800 to 1860, 1880 to 1960, and 1960 to 2000, each of which saw greater advancements than the previous period. The host contends that the pace of change from 2000 to today is "even light years ahead of that."
This rapid evolution, the host explains, is primarily driven by the digital world, the artificial world, and the synthetic world - which he likens to an organic, complex system akin to a biological ecosystem. The key difference, he notes, is the speed at which this digital ecosystem evolves, which is extremely difficult for humans to comprehend.
The host suggests that even younger generations, who have grown up in the digital age, struggle to fully grasp the pace of change, as they lack the contrast of experiencing life before many of these technologies. He provides personal examples, such as remembering a time before mobile phones, the internet, and even chatbots, to illustrate how quickly the technological landscape has shifted.
Focusing on the recent emergence of chatbots and large language models like ChatGPT, the host argues that these represent a significant "line in the sand" moment, with people now using the term "ChatGPT moment" to describe when other companies or technologies reach a similar level of advancement.
The host believes that the next phase of AI development will be centered around spatial awareness and integration with mapping software, enabling autonomous vehicles, robots, and other systems to better navigate and interact with the physical world. He draws parallels between autonomous vehicles and Roombas, suggesting that they are both essentially mobile robots serving a similar purpose.
The host contends that this convergence of digital and physical systems, coupled with ongoing advancements in hardware (such as GPUs), processors, memory, and software architecture, will drive exponential progress in the coming years. He predicts that by the end of the decade, we will be at least an order of magnitude further along in the digital realm compared to today.
The host concludes by emphasizing that the pace of change is difficult to comprehend, but that it presents both opportunities and challenges for individuals to navigate. He encourages the audience to consider how they can benefit from and adapt to the rapid technological evolution that is unfolding.