The sudden popularity of generative AI has re-generated a popular pre-pandemic preoccupation: How many jobs will AI destroy? Some prediction experts predicted a decade ago that almost half of U.S. jobs could be replaced by AI by 2023 (!) or, at most, by 2033, mainly impacting low-skill jobs (e.g., no more truck drivers because we will have self-driving trucks). Other crystal-ball observers argued that in contrast to previous waves of automation, we are entering a new era in which the most affected will be highly-skilled knowledge workers. The tight labor market of recent years has suppressed somewhat these dire predictions. The widespread excitement about generative AI, however, is bringing back the anxiety about jobs, especially the creative kind of jobs.

Once upon a time, in an alternate universe, Isaac Newton and Ada Lovelace were brought together to work on a science invention that would change the world forever. Newton, known for his groundbreaking work in physics and mathematics, and Lovelace, known for her contributions to the field of computer science, were both renowned scientists in their own right. Their collaboration began when Newton was approached by a group of investors who were looking for a way to revolutionize the field of transportation. They wanted to create a machine that could transport people and goods faster and more efficiently than any technology that existed at the time. Newton, who had a deep understanding of the laws of motion and gravity, saw the potential in the project and agreed to work on it.

The question of whether artificial intelligence (AI) can invent is nearly 200 years old, going back to the very beginning of computing. Victorian mathematician Ada Lovelace wrote what's generally considered the first computer program. As she did, she wondered about the limits of what computers could do. The Analytical Engine has no pretensions to originate anything. It can do whatever we know how to order it to perform.

The question of whether artificial intelligence can invent is nearly 200 years old, going back to the very beginning of computing. Victorian mathematician Ada Lovelace wrote what's generally considered the first computer programme. As she did, she wondered about the limits of what computers could do. The Analytical Engine has no pretensions to originate anything. It can do whatever we know how to order it to perform.

Nearly 200 years ago, Victorian mathematician Ada Lovelace wrote what is commonly seen today as a computer program as the beginning of computer science. At the time, I wondered where the limits of analytical machines (precursors to computers) were. Already at that time Lovelace stated something that in the following years was the norm for people dealing with the mechanisms of analysis. Computers do what we ask them to do and nothing moreThey do not have the will to act. They can follow the analysis and share with us the findings from the input we give them.

The question of whether artificial intelligence (AI) can invent is nearly 200 years old, going back to the very beginning of computing. Victorian mathematician Ada Lovelace wrote what's generally considered the first computer program. As she did, she wondered about the limits of what computers could do. The Analytical Engine has no pretensions to originate anything. It can do whatever we know how to order it to perform.

The Nvidia GeForce RTX 4080's slow-paced announcement and eventual launch has been… a fascinating road. From its mis-named little brother getting "unlaunched" to the RTX 4080 Founders Edition being the same size as the massive RTX 4090 for some reason, to the melting 12VHPWR power connectors--which are still on this card, yes. Nvidia has quite the PR battle with the $1,200 GeForce RTX 4080, but if you ignore all the noise, does this new card deliver the goods for content creators? Thankfully, performance-wise it does mostly live up to the hype; I just find myself wishing we had higher VRAM capacities on such expensive graphics cards. This review is focused on work, instead of play, similar to my recent RTX 4090 content creation analysis.

When the Nvidia GeForce RTX 4090 was announced with an eye-watering $1,600 price tag, memes spread like wildfire. While $1,600 is a little too much for most gamers to spend on a single component (most PC build budgets I see are less than that for the whole PC). I couldn't help but be intrigued at the potential performance improvements for my work--you know, the 3D and AI-accelerated tasks I spend most of my day doing as part of managing the EposVox YouTube channel, instead of gaming. Spoiler alert: The GeForce RTX 4090's content creation performance is magical. In quite a few cases, the typically nonsense "2X performance increase" is actually true.

Artificial intelligence has long been a favorite subject among sci-fi creators. The possibilities are seemingly boundless, giving rise to heady questions… Can a machine be truly sentient? What does a computer capable of beyond-human thinking mean for humanity, if we're no longer the top dogs? As technology continues to evolve by leaps and bounds, a healthy sense of caution, and/or gradually escalating terror, and/or constant anxiety about an AI-led apocalypse might feel like an increasingly fitting response--but why let the real world ruin your enjoyment of some of the best sci-fi stories around? After all, science fiction loves a plucky AI companion, a gloom-and-doom robotic destroyer of worlds, and everything in between!

More than two excruciatingly long years after the RTX 30-series reveal, a new generation of graphics cards is finally here. Nvidia CEO Jensen Huang unveiled the hotly anticipated GeForce RTX 4090 and not one, but two different RTX 4080 variants during the "Project Beyond" reveal event that kicked off GTC 2022. These graphics cards look absolutely monstrous, full stop, with the RTX 4090 leaving the RTX 3090 Ti stumbling in its wake. But while the performance of these next-gen GeForce GPUs promises to melt your face, the raw speeds are far from the only interesting aspect of this launch. Here are seven must-know facts from the RTX 4090 and RTX 4080 reveal, from ray tracing advancements to staggeringly high new sticker prices for Nvidia's GPUs. Nvidia clearly designed its new "Ada Lovelace" architecture to scream through ray tracing tasks.