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Algorithms auditing algorithms: GPT-4 a reminder that responsible AI is moving beyond human scale

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Artificial intelligence (AI) is revolutionizing industries, streamlining processes, and, hopefully, on its way to improving the quality of life for people around the world — all very exciting news. That said, with the increasing influence of AI systems, it’s crucial to ensure that these technologies are developed and implemented responsibly.

Responsible AI is not just about adhering to regulations and ethical guidelines; it is the key to creating more accurate and effective AI models.

Explaining the Singularity

The Singularity is a technological event horizon beyond which we cannot see – a moment in future history when exponential progress makes the impossible possible. This video discusses the concept of the Singularity, related technologies including AI, synthetic biology, cybernetics and quantum computing, and their potential implications.

My previous video “AI, Robots & the Future” is here:
https://www.youtube.com/watch?v=iaGIo_Viazs.

The episode on “The Metaverse: A Facebook Fantasy?” is here:

And I have a video on “Nanotechnology 2.0” here:
https://www.youtube.com/watch?v=X14sRtcHJXs.

Links to websites shown in the video are as follows:

Amyris (synthetic biology pioneer):

Life on Mars: When and How | The Next Stage of Human Evolution and the Possible Demise of the Planet

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Do you know why humanity still doesn’t have colonies on the Moon or Mars? Because the big companies that might’ve invested their money in building the said colonies are not sure when they’ll get their investments back and start making a solid profit. Well, at least that’s one of the reasons.

But the cheaper space flights will get and further the technologies that can help cost-efficiently settle on other planets will develop, the more countries, billionaires, tech giants, startups and institutions will get into the space race, whose finish line is right on the Red Planet. Why are they reluctant to do this? Are they afraid of future cataclysms? Do they know something we don’t? Are they dreaming of claiming the title of pioneers? Or hoping to mine rare metals in the asteroid belt?

Watch this video to find out all about the whens and hows of life on Mars, as well as about its outcomes, including a new round of human evolution and the possible demise of the planet itself! Wheels up!

00:00 In this video.
01:00 Mars will try to kill you.
01:30 Mars is a totally hostile environment for human life.
02:25 With Mars, Earthlings have a better chance.
04:01 What have we already found on the Red Planet?
05:22 Ilon Musk.
06:04 Prolonged flight exposes people to the greatest horror.
07:45 development of new super-powered engines.
08:24 an inflatable heat shield for astronauts to land on the planet.
09:12 Mars has no planetary magnetic field.
10:27 But the astronauts won’t spend all their time in spacesuits.
12:23 What about food on Mars?
13:30 a new round of human evolution on mars.

#prorobots #robots #robot #futuretechnologies #robotics.

This Just Changed My Mind About AGI

There have been 4 research papers and technological advancements over the last 4 weeks that in combination drastically changed my outlook on the AGI timeline.

GPT-4 can teach itself to become better through self reflection, learn tools with minimal demonstrations, it can act as a central brain and outsource tasks to other models (HuggingGPT) and it can behave as an autonomous agent that can pursue a multi-step goal without human intervention (Auto-GPT). It is not an overstatement that there are already Sparks of AGI.

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Twitter: https://twitter.com/bPGTill.

US DARPA RACER Off-Road Autonomous Vehicles Teams Navigate Third Test

U.S. DARPA’s Robotic Autonomy in Complex Environments with Resiliency (RACER) program recently conducted its third experiment to assess the performance of off-road unmanned vehicles. These test runs, conducted March 12–27, included the first with completely uninhabited RACER Fleet Vehicles (RFVs), with a safety operator overseeing in a supporting chase vehicle. The goal of the RACER program is to demonstrate autonomous movement of combat-scale vehicles in complex, mission-relevant off-road environments that are significantly more unpredictable than on-road conditions. The multiple courses were in the challenging and unforgiving terrain of the Mojave Desert at the U.S. Army’s National Training Center (NTC) in Ft. Irwin, California. As at the previous events, teams from Carnegie Mellon University, NASA’s Jet Propulsion Laboratory, and the University of Washington participated. This completed the project’s first phase.

“We provided the performers RACER fleet vehicles with common performance, sensing, and compute. This enables us to evaluate the performance of the performer team autonomy software in similar environments and compare it to human performance,” said Young. “During this latest experiment, we continued to push vehicle limits in perceiving the environments to greater distances, enabling further increase in speeds and better adaptation to newly encountered environmental conditions that will continue into RACER’s next phase.”

“At Experiment Three, we successfully demonstrated significant improvements in our off-road speeds while simultaneously reducing any interaction with the vehicle during test runs. We were also honored to have representatives from the Army and Marine Corps at the experiment to facilitate transition of technologies developed in RACER to future service unmanned initiatives and concepts,” said Stuart Young, RACER program manager in DARPA’s Tactical Technology Office.

Precise Spatial Proteomic Information in Tissues

Despite the availability of imaging-based and mass-spectrometry-based methods for spatial proteomics, a key challenge remains connecting images with single-cell-resolution protein abundance measurements. Deep Visual Proteomics (DVP), a recently introduced method, combines artificial-intelligence-driven image analysis of cellular phenotypes with automated single-cell or single-nucleus laser microdissection and ultra-high-sensitivity mass spectrometry. DVP links protein abundance to complex cellular or subcellular phenotypes while preserving spatial context.

Auto-GPT and BabyAGI: How ‘autonomous agents’ are bringing generative AI to the masses

Chat gpt 4 is wonderful but one thing it is lacking is sentience which could do all work for millions of years so essentially we would not need find all discoveries and all things by ourselves.


Richards said he originally wanted an AI agent to automatically email him daily AI news. But, as Motherboard, he realized in the process that existing LLMs struggle with “tasks that require long-term planning,” or are “unable to autonomously refine their approaches based on real-time feedback.” That understanding inspired him to create Auto-GPT, which, he said, “can apply GPT4’s reasoning to broader, more complex problems that require long-term planning and multiple steps.” (Richards didn’t respond for a request for an interview with Fast Company.)

“They get confused”

Autonomous agents, at this early stage, are mainly experimental. And they have some serious limitations that prevent them from getting what they want from large language models…