Recent advances in AI raise the possibility that AI systems will one day be able to do anything humans can do, only better. If artificial general intelligence (AGI) is achieved, AI systems may be able to understand, reason, problem solve, create, and evolve at a level and speed that humans will increasingly be unable to match, or even understand. These possibilities raise a natural question as to whether AI will eventually become superior to humans, a successor "digital species", with a rightful claim to assume leadership of the universe. However, a deeper consideration suggests the overlooked differentiator between human beings and AI is not the brain, but the central nervous system (CNS), providing us with an immersive integration with physical reality. It is our CNS that enables us to experience emotion including pain, joy, suffering, and love, and therefore to fully appreciate the consequences of our actions on the world around us. And that emotional understanding of the consequences of our actions is what is required to be able to develop sustainable ethical systems, and so be fully qualified to be the leaders of the universe. A CNS cannot be manufactured or simulated; it must be grown as a biological construct. And so, even the development of consciousness will not be sufficient to make AI systems superior to humans. AI systems may become more capable than humans on almost every measure and transform our society. However, the best foundation for leadership of our universe will always be DNA, not silicon.

Trying to model the physical reality by assembling various modalities: the image shows a couple of oranges seen through the lens of multiple modalities, with each slice showing a different way one might perceive and understand this scene. The modalities from left to right represent surface normals (the color represents surface orientation), depth (distance to the camera, red near, blue far), RGB (the original image), segmentation (distinct objects and image regions), and edges (object or texture boundaries). Large Language Models such as OpenAI's ChatGPT have already transformed the way many of us go about some of our daily tasks. These generative artificial intelligence chatbots are trained with language -- hundreds of terabytes of text'scraped' from across the Internet and with billions of parameters. Looking ahead, many believe the'engines' that drive generative artificial intelligence will be multimodal models that are not just trained on text but also can process various other modalities of information, including images, video, sound, and modalities from other domains such as biological or atmospheric data. Yet, until recently, training a single model to handle a wide range of modalities – inputs – and tasks – outputs – faced significant challenges.

We've all been astonished at how chatbots seem to understand the world. But what if they were truly connect to the real world? What if the dataset behind the chat interface was physical reality itself, captured in real time by interpreting the input of billions of sensors sprinkled around the globe? As cofounder and CEO Ivan Poupyrev puts it, "Think of ChatGPT, but for physical reality." Archetype's foundational model is called Newton.

It is often argued that the underlying reason for this aversion to thinking is to reduce the associated fitness costs [15, 108]. Indeed, such costs to thinking are not difficult to find. In particular, it turns out that brains are extraordinarily expensive metabolically on a per-unit-mass basis, far more than almost all other organs (the heart and liver being the sole exceptions -- see [29, 108, 79, 16]). Consistent with this, it is not just that the software comprising our minds that seems tailored to reduce metabolic costs; the hardware supporting that software -- the physical architecture of our brains -- also seems tailored to reduce metabolic costs. We do not have a good understanding of exactly how our hardware is used to provide the ability of humans to engage in activities requiring high levels of abstract intelligence.

The physical materials involved in designing, producing, and running artificially intelligent systems are all too frequently largely absent from discussions of AI itself. As a result, the implications of AI's intense materiality continue to be overlooked and unremedied. By picturing the physicality of artificial intelligence within the Better Images of AI repository, with the contributions of Catherine Breslin and Fritzchens Fritz, we hope to foster more accurate representations of these emerging technologies. Silicon is a crucial component of AI manufacture. A block like the one pictured here would be sliced into 12 inch diameter wafers to form the base of CPUs.

Are you ready for the next generation of the internet? We're not talking about some future possibility…this next generation is already here. In this article, we'll start to explore this new frontier that is the metaverse. Specifically, we'll take a deep-dive into the 7 layers that make up the metaverse so that you will understand and be prepared to navigate the new online landscape. The metaverse is the merging of virtual and physical reality.

The runaway train of machine (and deep) learning has, in my opinion, reached an alarming level — alarming in the most negative sense. It is one thing to be excited about a useful technology (say, one…

This paper presents a smart contract-based solution for autonomous administration of construction progress payments. It bridges the gap between payments (cash flow) and the progress assessments at job sites (product flow) enabled by reality capture technologies and building information modeling (BIM). The approach eliminates the reliance on the centralized and heavily intermediated mechanisms of existing payment applications. The construction progress is stored in a distributed manner using content addressable file sharing; it is broadcasted to a smart contract which automates the on-chain payment settlements and the transfer of lien rights. The method was successfully used for processing payments to 7 subcontractors in two commercial construction projects where progress monitoring was performed using a camera-equipped unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV) equipped with a laser scanner. The results show promise for the method's potential for increasing the frequency, granularity, and transparency of payments. The paper is concluded with a discussion of implications for project management, introducing a new model of project as a singleton state machine.

So what happens when the world becomes a billboard, robots have spatial reasoning and virtual assistants own the relationship with the consumer? The metaverse is coming and it's a very big deal.

Pioneering Physicist John Archibald Wheeler once summarized the intricate interconnection between the'ethereal' concept of information and our material physical reality with the poetic "It from Bit". Intangible entities like the ones flooding our electronics devices, made of 1s and 0s, are literally'making up' and shaping our physical universe. Artificial Intelligence is an equally ethereal concept, made up of abstract mathematical entities built out of 0s and 1s that code the structuring and functioning of simulated neurons and synapses, eventually endowing AI with the ability to learn and make predictions about the real world that resemble the one produced by our biological brains. Though, we live in a world made of matter: people, houses, tables and chairs, building, planes, trains and cars. What is the true impact that this abstract thing that is AI has on our everyday physical reality?