Tag: AI

Artificial General Intelligence (AGI), being a multi-planetary species, population collapse.

Figure has unveiled its latest humanoid robot, Figure 02, backed by major tech players like OpenAI, Nvidia, and Microsoft, promising advanced capabilities like high torque ratings and a wide range of motion. The robot is designed to improve workplace productivity and safety, with potential use in industries like manufacturing, and is part of a growing competition in AI-powered robotics, including rivals like Tesla Optimus and Boston Dynamics. Additionally, Oxford Dynamics is developing a specialized robot called Strider, designed for hazardous environments, further showcasing the rapid advancements in AI and robotics technology.

With AI progressing by leaps and bounds and several commercial humanoid robots developing fast, both knowledge jobs and manual labor jobs are on the edge of a major disruption. What will people do for work when robots can do all the work for far cheaper? Why bother learning anything when AI devices can give you any answer you need at any moment? And what kind of future are we heading toward?

I used AI to generate a song just to see how bad it was. It totally backfired on me. using udio I ended up generating a song that wasn’t just impressive it was actually enjoyable to listen to. At least in my opinion. Now I don’t know what to think.

AI researchers and biologists are teaming up to detect patterns in animal communication that are difficult, if not impossible, to observe with the human eye alone. The studies that have come out so far are steps towards what some AI companies see as a larger goal: building large language models to decode animal communication that is beyond the reach of human comprehension. This video explains how they might do that, using the same tools that gave us text, image and translation tools for human language.

As the baby boomers age into retirement and Gen Z fails to satisfy the gaping hole left in the labor market, will artificial intelligence be able to help mitigate some of the fallout?

There’s more than 8,000 data centers globally, but it’s not nearly enough to keep up with the power needs of generative AI. One ChatGPT query takes about 10 times as much energy as a typical Google search. Training one large language model can produce as much CO2 as the entire lifetime of five gas-powered cars and use as much water as a small country. Even if we generate enough power, our aging grid is increasingly unable to handle transmitting it to where it’s needed. That’s why data center companies like Vantage are building closer to where power is generated, while the industry invests in alternate energy source and creative ways to harden the grid.