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Researchers at Cornell University have developed a tiny, proof of concept robot that moves its four limbs by rapidly igniting a combination of methane and oxygen inside flexible joints.

The device can’t do much more than blow each limb outward with a varying amount of force, but that’s enough to be able to steer and move the little unit. It has enough power to make some very impressive jumps. The ability to navigate even with such limited actuators is reminiscent of hopped-up bristebots.

Electronic control of combustions in the joints allows for up to 100 explosions per second, which is enough force to do useful work. The prototype is only 29 millimeters long and weighs only 1.6 grams, but it can jump up to 56 centimeters and move at almost 17 centimeters per second.

OpenAI recently announced an upgrade to ChatGPT (Apple, Android) that adds two features: AI voice options to hear the chatbot responding to your prompts, and image analysis capabilities. The image function is similar to what’s already available for free with Google’s Bard chatbot.

Even after hours of testing the limits and capabilities of ChatGPT, OpenAI’s chatbot still manages to surprise and scare me at the same time. Yes, I was quite impressed with the web browsing beta offered through ChatGPT Plus, but I remained anxious about the tool’s ramifications for people who write for money online, among many other concerns. The new image feature arriving for OpenAI’s subscribers left me with similarly mixed feelings.

While I’ve not yet had the opportunity to experiment with the new audio capabilities (other great reporters on staff have), I was able to test the soon-to-arrive image features. Here’s how to use the new image search coming to ChatGPT and some tips to help you start out.

Who knows? Maybe this is a way for giving commands to a computer/AI instead of implants if further developed in the future.


The streaming data from these biosensors can be used for health monitoring and diagnosis of neuro-degenerative conditions.

A pair of earbuds can be turned into a tool to record the electrical activity of the brain as well as levels of lactate in the body with the addition of two flexible sensors screen-printed onto a stamp-like flexible surface.

The sensors can communicate with the earbuds, which then wirelessly transmit the data gathered for visualization and further analysis, either on a smartphone or a laptop. The data can be used for long-term health monitoring and to detect long-term neuro-degenerative conditions.

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00:00 — Introduction.
00:38 — Landauer Limit.
02:51 — Quantum Computing.
04:21 — Human Brain Power?
07:03 — Turing Complete Universal Computation?
10:07 — Diminishing Returns.
12:08 — Byzantine Generals Problem.
14:38 — Terminal Race Condition.
17:28 — Metastasis.
20:20 — Polymorphism.
21:45 — Optimal Intelligence.
23:45 — Darwinian Selection “Survival of the Fastest“
26:55 — Speed Chess Metaphor.
29:42 — Conclusion & Recap.

Artificial intelligence and computing power are advancing at an incredible pace. How smart and fast can machines get? This video explores the theoretical limits and cutting-edge capabilities in AI, quantum computing, and more.

We start by looking at the Landauer Limit — the minimum energy required to perform computation. At room temperature, erasing just one bit of information takes 2.85 × 10^−21 joules. This sets limits on efficiency.

The transition to Artificial General Intelligence (AGI) signifies more than a change in terminology; it represents a major leap in capabilities. It will take many years for AGI to be fully realized, but we are well underway in this evolution. In the meantime, most of the AI applications developed remain classified as NarrowAI.

Simply, AGI is any task that a human can do could be accomplished by general AI. It technically has all the potential of a human brain. It could tackle any problem or task in any area, whether it be music composition or logistics—all the potential actions humans can perform.


This article discusses General AI and highlights how the AI industry is unfolding advancing efforts to develop General AI.

You cannot read any newspaper, media report, or publication these days without a mention of AI and its impact to disrupting business in shaping new ways or working, augmenting human intelligence, or raising genuine fears of what have we unleashed in our societal structures.

IBM’s survey in 2022 predicted that the AI global adoption is already over 35 percent in using AI to modernize business practices and processes.

It’s already over a decade now since Oxford researchers, Carl Frey and Michael Osborne in their seminal research, declared that over 47 percent of jobs would disappear by 2030.

Even futurists like Kevin Kelly were warning back in 2016 that the Robots are Coming.

What is the… More.

The Federal Court of Appeal in the USA has just ruled that Google is not covered by exemption for journalistic or artistic work.in a 2–1 court ruling, Google which drives more than 75% of internet searches in Canada, which opens the door for people to demand that their names in any articles are made unsearchable known as the right to be forgotten.

Valerie Lawton, a spokeswoman for the Office of the Canadian Privacy Commissioner, said it is pleased the court agreed with its position that Google’s search engine service is subject to federal privacy law. “This brings welcome clarification to this area of the law.”

This legal case was actually started in 2017 when a complaint to the Federal… More.


This article discusses the recent ruling that opens the door to the right to be forgotten challenging Google and supporting Privacy Legislation protect our privacy.

Educators just started recovering from the profound impact of the COVID-19 pandemic. Some studies assess that the learning loss may never be recovered. However, a new challenge has crashed on the shores of education — AI — which could be even more impactful. In this post, we look at the challenges that AI brings to education, some ideas, and steps being taken.

A look at the newly announced Generative AI guidance from UNESCO, and others. An explanation of what they mean for application.

The explosive recent growth of AI tools to generate text, images, or audio relies on gargantuan amounts of information.

That information doesn’t come for free. It can exact high – and unequal – costs in terms of energy, water, and labor, though these costs are largely invisible to users.

In terms of energy, generative AI models typically depend on extremely large-scale cloud providers, which use chips with more transistors that require at least 10 times as much energy as traditional versions. Unsurprisingly, models that use more training data and contain more parameters tend to guzzle more energy.

The 2 SOPS or 2nd Space Operations Squadron commander, Lt Col Robert Wray… More.


Of all the missions the Space Force performs daily for a grateful nation, there is none more ubiquitous and essential than GPS. Today’s soldiers and sailors depend on reliable, accurate, and secure GPS as much as they do any weapon they employ. Meanwhile, the rest of the world is just as dependent on GPS to enable basic mobility and underpins every other sector of the modern global economy. The criticality of secure global navigation and timing to both warfighting and the national economy makes it unique – we simply could not go a day without space. In so few words, GPS’ future is ground zero for the new space race.

The 2 SOPS or 2nd Space Operations Squadron commander, Lt Col Robert Wray reminds me that “14 of the 16 critical infrastructures designated by the Department of Homeland Security rely on 24/7 GPS to operate for the country.” But the newest GPS satellites in use today are the same school bus sized ones Gen. Hyten has lamented are, “juicy targets” for our adversaries – marvels of modern engineering, yes, but no longer sufficient to meet modern needs.

Alternatives to GPS, categorically called Global Navigation Satellite Systems (GNSS), are growing rapidly because the old GPS system we rely on offers neither the precision nor security needed in an increasingly autonomous, rule based, and precisely timed world. What exactly needs to change then, aside from smaller, faster satellites as technology becomes more efficient and readily available? There are major challenges with the current system that today’s Guardians are already working on. But to usher in a new and improved GPS capability, the government needs to adopt artificial intelligence and machine learning to enhance squadron operations, work to better integrate commercial software into current GPS constellation to get the most out of current capabilities, and continue to invest in the next generation of leaders. Private capital has begun aligning with companies aiming to solve these future deficiencies, in a race against pacing threats like China and Russia.