Almost all science fiction since Fritz Lang’s 1927 film "Metropolis" has primed us to fear the inevitable rise of the machines. Artificial Intelligence currently stands at a pivotal juncture—both revered for its potential and feared for its possible perils. Recent polls have illuminated the public’s profound anxieties regarding AI’s expanding influence. A striking 61% of Americans believe AI could eventually lead to humanity's annihilation, according to a Reuters/Ipsos survey, indicating an underlying existential dread. Meanwhile, 75% worry about immediate economic disruption from job losses per Gallup polling. These fears also extend to other existential and economic threats, such as the potential biases AI-powered systems might perpetuate against marginalized groups, the development of autonomous weapons, and the spread of misinformation. The machines need a PR plan. #ai #AIpublicrelations #aibusiness #publicrelations #aistartup #aistrategy
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Almost all science fiction since Fritz Lang’s 1927 film "Metropolis" has primed us to fear the inevitable rise of the machines. Artificial Intelligence currently stands at a pivotal juncture—both revered for its potential and feared for its possible perils. Recent polls have illuminated the public’s profound anxieties regarding AI’s expanding influence. A striking 61% of Americans believe AI could eventually lead to humanity's annihilation, according to a Reuters/Ipsos survey, indicating an underlying existential dread. Meanwhile, 75% worry about immediate economic disruption from job losses per Gallup polling. These fears also extend to other existential and economic threats, such as the potential biases AI-powered systems might perpetuate against marginalized groups, the development of autonomous weapons, and the spread of misinformation. The machines need a PR plan. #ai #AIpublicrelations #aibusiness #publicrelations #aistartup #aistrategy
OpenAI powers a robot that can hand people food, pick up trash, put away dishes, and more
https://venturebeat.com
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The following Blog article identifies and discusses some of the key controversial topics around AI and it's impact on humans, the way we live and the way we work. Whether you are a proponent of AI and see progress, advancement and benefits or you are more reserved, suspicious and doubtful about where we are heading with AI, machine learning, robotics and related advancements, there is something for you to think about. I'm hoping for future articles that address the key outstanding questions raised by each of these controversial topics - that's how we get better, that's how we (as humans) learn. As always - enjoy the read, comments and feedback welcome and encouraged! #aibias #machinelearning #aiethics #mlmodels #aijobimpacts #mlrisks
An overview of some unique, interesting, and controversial topics around Machine Learning
aiquantumintelligence.com
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🔄 The AI Agent Race Heats Up: OpenAI's Strategic Response to Anthropic's Innovation... Fascinating developments in the AI space: OpenAI is set to launch "Operator" in January - their answer to Anthropic's groundbreaking "Computer Use" feature. This move perfectly illustrates the intensifying competition in autonomous AI agents. What's particularly interesting is the timing. Just weeks after Anthropic demonstrated their AI's ability to control computers and execute complex tasks, OpenAI announces their counterplay. The speed of this response signals how crucial agent capabilities have become in the AI landscape. Three key observations: 1. While Anthropic's solution currently shows a modest 14.9% success rate on basic computer tasks, they've pioneered a unique approach - allowing AI to interact with computers just as humans do. 2. OpenAI's Operator seems to be similar and include web browser-based task execution, potentially offering a different take on autonomous AI interaction. 3. Sam Altman himself recently hinted at this shift, stating that "agents will feel like the next giant breakthrough. The implications for businesses are significant. As these tools mature, we're looking at a fundamental shift in how we approach task automation and human-AI collaboration. What's your take? #ArtificialIntelligence #TechInnovation #FutureOfWork #AIAgents #TechnologyTrends #Leadership
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Open AI has created robots that look like humans, they have named it 'Figure 01' They move their hands and talk very realistically. The robot's voice even makes mistakes like "errrhm" "uh" "I...I...”, which is pretty amazing. This robot, 'Figure AI', works with OpenAI's talking technology and does everything by itself, with no person controlling it. Everything in this video is a neural network Source: figure.ai
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AI in Fiction vs Reality: Bridging the Gap As an AI enthusiast, I'm fascinated by how artificial intelligence is portrayed in science fiction compared to its current state. While we're not yet living with human-like robots, AI is revolutionizing industries from healthcare to finance. However, with great power comes great responsibility. As we advance AI technology, it's crucial to address potential risks and ethical considerations. How can we ensure AI development benefits society while minimizing potential harm? Let's start a conversation about the future of AI. What are your thoughts on balancing innovation with responsibility in AI development? Read More: https://shorturl.at/GKB93 #ArtificialIntelligence #AIEthics #TechInnovation #AIinFictionvsReality
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AI has us tapping into our inner John Connor. When it comes to our sentiments and perceptions around AI, none has been more influential than "The Terminator". From Skynet to "The Sarah Connor Chronicles," they've permeated many of the arguments for and against the technology. Whether you care to admit it, Cyberdyne Systems' T-800 has contributed mightily to our dystopian views and existential dangers around self-sufficient, task-performing computer systems. WALL-E got squashed along the way. There's been a whole cast of AI characters in the movies, much more positive in nature. C3PO and R2D2, Data, and even Chappie (ok, maybe not). But, Terminator along with HAL 9000 have won out. Why? Because they reinforced long-standing fears we already had about technology's ability to take over humanity. That Elon Musk has mentioned Terminator in various end-of-the-world scenarios certainly has or hasn't helped. We won't have a "WarGames" moment...hopefully. AI technology is increasingly used in the military in autonomous weapons. And though the U.S. has said the technology won't have decision-making capabilities in terms of deploying nuclear weapons, only time will tell. Already, we're seeing companies such as OpenAI that touted the importance of having checks and balances, get rid of the AI safety teams. While that may seem like a leap for some, the point is ethics, morality and points of view are moving targets. "I'll be back...just not the way you think." Those docile chatbots of today will eventually give way to self-sufficient robots (not Elon's human-controlled ones) and beyond. So, in the bigger and grander AI discussion, the dystopia ingrained in our views around the technology isn't a bad thing. They serve to provide guidance and ideas into worst-case scenarios that our society takes for granted in our sometimes all-too-casual culture. As the global AI race takes shape, we'll undoubtedly comes across more gray areas, and the dismal world created by SkyNet may prove useful https://lnkd.in/gk7MNRxa #artificialintelligence #generativeai #culture #movies #perception #society #ethics
40 years later, The Terminator still shapes our view of AI
arstechnica.com
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How to make generative AI models aware of the diversity of people and cultures: a novel fine-tuning approach!
"Dancers are performing for a crowd, in Mexico" - a simple prompt with very different results. Representation matters in AI-generated images, but AI models are often trained on data dominated by U.S.-based and English-speaking content. Working with representatives from 5 cultures, a team from Carnegie Mellon University Robotics Institute has developed methods to fine-tune #AI models to create more culturally appropriate imagery. https://lnkd.in/ek5fF3Sn
Representation Matters in AI-Generated Images
https://www.psc.edu
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Many people have an unrealistic view of AI because it has been portrayed in popular culture as humanoid robots with menacing red eyes (a reference to the OG example, Terminator🙌🏾), or some think of it as some supernatural entity that gives you the chills🫢 when your imagination starts running wild. What Elon Musk said recently about AI becoming smarter than any single human next year, and by 2029, AI will probably be smarter than all humans combined, doesn't help either🫣. However, the reality of AI is quite different. Most AI tools rely on machine learning rather than sentient robots. (How?🤷🏾♀️ Read the article in the link.) These ML algorithms learn from data and improve their performance over time, but they do not possess consciousness or intentions (or do they?🤔 LOL). While some envision a future where AI solves complex problems and makes our lives easier, others worry about job displacement and ethical dilemmas. I believe the future belongs to those who know how to work with AI efficiently and appropriately. But as Kurt Vonnegut said, "History is merely a list of surprises. It can only prepare us to be surprised yet again." Are you ready for the next surprise? If you've been pondering some of these things and want to understand a little bit more, you should start by understanding the history of AI (that's what this article is about). Doing so can help you gain a better perspective and attitude towards AI than you'd expect. So, please click the link below and read. It's a good read, I promise!🤞🏾
How Did We Get Here? The History of AI.
link.medium.com
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"Dancers are performing for a crowd, in Mexico" - a simple prompt with very different results. Representation matters in AI-generated images, but AI models are often trained on data dominated by U.S.-based and English-speaking content. Working with representatives from 5 cultures, a team from Carnegie Mellon University Robotics Institute has developed methods to fine-tune #AI models to create more culturally appropriate imagery. https://lnkd.in/ek5fF3Sn
Representation Matters in AI-Generated Images
https://www.psc.edu
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I receive a daily newsletter from The Neuron - AI News. Recently, they posted this, and it is really eye-opening to the potential future of AI: While humanoid robots aren’t exactly priority #1 for most knowledge workers (hint: you), they’ll be massively important in physically demanding environments like warehouses, construction sites, and distribution centers. And AI will play a big role. The reason why: most OG robots follow a predefined set of commands. AI essentially gives physical robots a “brain” for learning and making decisions in real-time, without human intervention. Take Figure’s bad boys, now running on GPT-4. These robots can “see” their surroundings, engage in conversations, and take appropriate actions. This demo will either a) make you beam with joy b) make you fear The Terminator is coming… https://lnkd.in/gZHYa2-6
Figure (@Figure_robot) on X
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