Ads for AI “girlfriends” are flooding Instagram and TikTok.
Category: robotics/AI – Page 993
The US Air Force wants $5.8 billion to build 1,000 AI-driven unmanned combat aircraft, possibly more, as part of its next generation air dominance initiative
Woa, 😲, my Wave after Wave of AI controlled fighter aircraft idea. If you like that one you will love my mini UAV idea, i dont know if Ion drive or electric centrifuge weapons are up to it yet though, maybe.
The Times, citing congressional expectations, reported that the costs of the Air Force’s collaborative combat aircraft will be between $3 million and $25 million depending on their status as expendable, attritable, or exquisite. Even the higher-end figure is far less than a manned aircraft with a pilot, both of which are valuable to the force.
Air Force and Department of Defense representatives did not immediately respond to Insider’s request for comment. Kratos Defense, which makes the Valkyrie, would not comment on collaborative combat aircraft, citing the classified nature of the program.
While the Air Force’s next generation air dominance family of systems effort, which is focused on delivering air superiority through the development of a crewed next-generation fighter jet supported by uncrewed collaborative combat aircraft, has garnered widespread military support, human rights advocates are concerned that the unmanned war machines included in the plan pave the way to a “Terminator”-style dystopian future.
Elon Musk’s X tells users that it could use their posts to train AI models
X’s new privacy policy, which is due to come into effect on September 29, states that the company “may use the information we collect and publicly available information to help train our machine learning or artificial intelligence models for the purposes outlined in this policy.” This policy is not included in its previous terms, which are still posted online.
Musk responded to a post about this change on X, saying that it would only use publicly available information to train the AI and would not use “DMs or anything private.”
During a live audio session on X – formerly Twitter – in July, Elon Musk said that his AI startup, xAI, would use public data from his social media platform to train its AI models. Insider reached out to X for comment but didn’t immediately hear back. It is not clear how it will use the information from X and which AI models this relates to.
An AI pilot has beaten three champion drone racers at their own game
In what can only bode poorly for our species’ survival during the inevitable robot uprisings, an AI system has once again outperformed the people who trained it. This time, researchers at the University of Zurich in partnership with Intel, pitted their “Swift” AI piloting system against a trio of world champion drone racers — none of whom could best its top time.
Swift is the culmination of years of AI and machine learning research by the University of Zurich. In 2021, the team set an earlier iteration of the flight control algorithm that used a series of external cameras to validate its position in space in real-time, against amateur human pilots, all of whom were easily overmatched in every lap of every race during the test. That result was a milestone in its own right as, previously, self-guided drones relied on simplified physics models to continually calculate their optimum trajectory, which severely lowered their top speed.
This week’s result is another milestone, not just because the AI bested people whose job is to fly drones fast, but because it did so without the cumbersome external camera arrays= of its predecessor. The Swift system “reacts in real time to the data collected by an onboard camera, like the one used by human racers,” an UZH Zurich release reads. It uses an integrated inertial measurement unit to track acceleration and speed while an onboard neural network localizes its position in space using data from the front-facing cameras. All of that data is fed into a central control unit — itself a deep neural network — which crunches through the numbers and devises a shortest/fastest path around the track.
The Guardian blocks ChatGPT owner OpenAI from trawling its content
The Guardian has blocked OpenAI from using its content to power artificial intelligence products such as ChatGPT. Concerns that OpenAI is using unlicensed content to create its AI tools have led to writers bringing lawsuits against the company and creative industries calling for safeguards to protect their intellectual property.
The Guardian has confirmed that it has prevented OpenAI from deploying software that harvests its content.
The Cure to AI Fatigue: Striking a Balance Between Humans and Artificial Intelligence
Artificial Intelligence has transformed how we live, work, and interact with technology. From voice assistants and chatbots to recommendation algorithms and self-driving cars, AI has suddenly become an integral part of our daily lives, just a few months after the release of ChatGPT, which kickstarted this revolution.
However, with the increasing prevalence of AI, a new phenomenon called “AI fatigue” has emerged. This fatigue stems from the overwhelming presence of AI in various aspects of our lives, raising concerns about privacy, autonomy, and even the displacement of human workers.
AI fatigue refers to the weariness, frustration, or anxiety experienced by individuals due to the overreliance on AI technologies. While AI offers numerous benefits, such as increased efficiency, improved decision-making, and enhanced user experiences, it also presents certain drawbacks. Excessive dependence on AI can lead to a loss of human agency, diminishing trust in technology, and a feeling of disconnection from the decision-making process.
Turbocharged Python: AI Accelerates Computing Speed by Thousands of Times
Their development Scalene, an open-source tool for dramatically speeding up the programming language Python, circumvents hardware issues limiting computer processing speeds.
A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.
There are many different programming languages—C++, Fortran, and Java are some of the more well-known ones—but, in recent years, one language has become nearly ubiquitous: Python.
The art of the prompt: How to get the best out of generative AI
Generative AI models can crank out anything from poetry and prose to images and code at your command. But to coax your desired output from these AI tools, you need to craft the right input — AKA, the prompt.
Prompts are what guide the AI model’s output and influence its tone, style and quality. And good prompts are what elicit brilliant text and stunning images.
“Writing good prompts is the key to unlocking the power and potential of generative AI,” said Jennifer Marsman, principal engineer in Microsoft’s Office of the Chief Technology Officer.