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 and Jensen Huang’s friendship appears to be Silicon Valley’s latest bromance.
They have a lot in common: both run Big Tech firms worth trillions, they each have a signature jacket, and now they’re bonding over cheesesteaks.
The Meta CEO said the dynamic duo like to break bread and revealed what they chat about when they get together.
A new report traces the extraordinary lineage of a common Amazonian butterfly—and estimates the hybridization of its two parental species happened around 180,000 years ago.
Practically all of the matter we see and interact with is made of atoms, which are mostly empty space. Then why is reality so… solid?
From upenn BLINK multimodal large language models can see but not perceive.
From UPenn.
Multimodal large language models can see but not perceive.
We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations.
Quantum gravity aims to find a description of spacetime and gravity that obeys the rules of quantum mechanics.
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.
“The potential for autonomous air-to-air combat has been imaginable for decades, but the reality has remained a distant dream up until now. In 2023, the X-62A broke one of the most significant barriers in combat aviation. This is a transformational moment, all made possible by breakthrough accomplishments of the X-62A ACE team,” said Secretary of the Air Force Frank Kendall. Secretary Kendall will soon take flight in the X-62A VISTA to personally witness AI in a simulated combat environment during a forthcoming test flight at Edwards.
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.”