As discussed. if we went by definition of AI 20 years back we d probably say we are at Agi now. but goal posts are constantly bein moved to superior to humans in all areas. 20 years back would of called it ASI.
Stand back and take a look at the last two years of AI progress as a whole… AI is catching up with humans so quickly, in so many areas, that frankly, we need new tests.
Mark Zuckerberg says Meta AI is now “the most intelligent AI assistant” that’s available for free.
The U.S. Air Force Test Pilot School and the Defense Advanced Research Projects Agency were finalists for the 2023 Robert J. Collier Trophy, a formal acknowledgement of recent breakthroughs that have launched the machine-learning era within the aerospace industry. The teams worked together to test breakthrough executions in artificial intelligence algorithms using the X-62A VISTA aircraft as part of DARPA’s Air Combat Evolution (ACE) program. In less than a calendar year the teams went from the initial installation of live AI agents into the X-62A’s systems, to demonstrating the first AI versus human within-visual-range engagements, otherwise known as a dogfight. In total, the team made over 100,000 lines of flight-critical software changes across 21 test flights. Dogfighting is a highly complex scenario that the X-62A utilized to successfully prove using non-deterministic artificial intelligence safely is possible within aerospace.
“The X-62A is an incredible platform, not just for research and advancing the state of tests, but also for preparing the next generation of test leaders. When ensuring the capability in front of them is safe, efficient, effective and responsible, industry can look to the results of what the X-62A ACE team has done as a paradigm shift,” said Col. James Valpiani, commandant of the Test Pilot School.
Anduril, the Royal Australian Navy (RAN), the Advanced Strategic Capabilities Accelerator (ASCA) and Defence Science and Technology Group (DSTG) are pleased to unveil the first Ghost Shark manufactured prototype and announce that the Ghost Shark program is ahead of schedule and on budget. As Anduril moves to deliver an operationally relevant capability within a fraction of traditional defence timelines, early creation and testing of the first Ghost Shark has been critical for rapid learning and iteration. It’s a momentous advancement in the $140M co-development contract between RAN, DSTG and Anduril to design and develop the three ‘Ghost Shark’ extra-large autonomous undersea vehicles (XL-AUV) in three years in Australia. Ghost Shark is a modular, multi-purpose capability that can flexibly respond to the Australian Defence Force’s mission requirements, creating an agile force multiplier for Defence.
Dr Shane Arnott, Senior Vice President Engineering, Anduril Industries said: “Moving at the speed of relevance is Anduril’s signature. For Ghost Shark, we have assembled a unique high-powered engineering team of 121 people from the best-of-Australia, across tech, resources and defence, to fuel this progress. We have 42 Australian companies currently working on Ghost Shark, which is being designed, engineered and manufactured in Australia. We plan to manufacture at scale in Australia for the Royal Australian Navy, and then for export to our allies and partners around the world. Using novel scaled agile development techniques, we are combining both tech and defence sector development practices – and it’s paying big dividends. Ghost Shark is a program that we as Australians can be very proud of.”
David Goodrich OAM, Executive Chairman and CEO Anduril Australia said: “The timeline we set to design and produce three Ghost Sharks in three years in Australia, by Australians for the ADF, was extremely ambitious. I am excited to report that we are ahead of schedule and, importantly for a Defence program, we are on budget. We’re moving incredibly quickly on this program in lockstep with our ASCA, DSTG and the RAN partners. The strategic leadership and innovation insights provided by Prof Tanya Monro, Prof Emily Hilder and Vice Admiral Mark Hammond are key to our success.”
On November 30, 2022, Silicon Valley-based company OpenAI launched its artificial-intelligence-powered chatbot, ChatGPT. Overnight, AI transformed in the popular imagination from a science fiction trope to something anyone with an internet connection could try. ChatGPT was free to use, and it responded to typed prompts naturally enough to seem almost human. After the launch of the chatbot, worldwide Google searches for the term “AI” began a steep climb that still does not seem to have reached its peak.
Physicists were some of the earliest developers and adopters of technologies now welcomed under the wide umbrella term “AI.” Particle physicists and astrophysicists, with their enormous collections of data and the need to efficiently analyze it, are just the sort of people who benefit from the automation AI provides.
So we at Symmetry, an online magazine about particle physics and astrophysics, decided to explore the topic and publish a series on artificial intelligence. We looked at the many forms AI has taken; the ways the technology has helped shape the science (and vice versa); and the ways scientists use AI to advance experimental and theoretical physics, to improve the operation of particle accelerators and telescopes, and to train the next generation of physics students. You can expect to see the result of that exploration here in the coming weeks.
Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown.
This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly.
AGI, sometimes referred to as strong AI, is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds. The prospect of developing synthetic minds that can learn and solve complex problems promises to revolutionize and disrupt many industries as machine intelligence continues to assume tasks once thought the exclusive purview of human intelligence and cognitive abilities.
AI is changing online dating in all kinds of ways, like chatbots that can go on dates for you to apps that provide relationship advice.
Boston Dynamics has revealed its new electric Atlas humanoid robot. It’s expected to be stronger than its hydraulic predecessor, with a range of grippers. That’s expected to give it significantly higher commercial appeal.
As an expert in network effects, the LinkedIn co-founder and now AI entrepreneur is only too happy to spread (mostly) good cheer about AI and its societal potential.
