Anthony Minessale II on LinkedIn: Robo Rhetoric - Is Patrick Mahomes the GOAT? (2024)

With the various shares about synthetic, yet emotive personas, from Synthesia and ReidAI, as well as other creative generative AI media such as the 007 and Mario movie clips, one might be asking, what is real? This blast from the past is worth a revisit!#genai #extendedreality #philosophy

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🌟 Calling all Professional Sports Coaches, Players, Agents, General Managers, Executives, and Owners!At Probility AI, we’re driving the future of sports agencies by maximizing player value and health through cutting-edge AI technology. Discover how our predictive analytics are transforming the industry. Check out our latest video on empowering sports agents and players with negotiating with teams. Here are some highlights on how AI will impact sports.💼 Salary Negotiations: Gone are the days of traditional arbitration based on simple player comparisons. With our predictive analytics, understand a player's value in unprecedented ways. Be the first to leverage this during negotiations and ignite an AI arms race among teams and agents.👥 Agents: Position your player on any team and simulate their future performance and fit. Focus on teams that will maximize your client’s career longevity and financial benefits, saving time and resources.🏅 Players: Choose teams that not only extend your playing career but also enhance your earning potential. Partner with agents who use our technology to offer more value for less, ensuring a win-win for everyone.📈 A New Agency Model: Imagine a sports agency that represents the underdogs—the backup players grinding out professional careers. Our AI helps accurately place these players, ensuring they are paid their true worth.⚖️ Ethical Considerations: With our ability to predict injury probabilities, the implications for team decisions, player health, and contractual obligations are significant. Who bears the responsibility if an informed risk leads to an injury?🔍 Explore how Probility AI can transform your approach to sports management and player representation. Let’s redefine the game together!🔗 Connect with us to learn more and see what’s possible with AI in sports today!https://lnkd.in/g33bWria

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"We will need the help of the new intelligent machines to turn our grandest dreams into reality. So, let us dream big." – Garry KasparovWorld chess champion, Garry Kasparov lost to IBM's Deep Blue in 1997. Newsweek published, “The Brain’s Last Stand”, suggesting a picture of doomsday for human intelligence. Decades later as Garry reflects upon his “painful” loss, he sees it as an opportunity and recommends not to fear intelligent machines.We are defining a new era with #intelligentautomation; are we dreaming big?#ai #rpa https://lnkd.in/gRWriDZh

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What happens when human and machine creativity come together? Click the below link for the TED Talk.

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Hello Tech Enthusiasts,AI is evolving fast. Remember Angie Jones's video (https://lnkd.in/gmFg5HUR) on AI testing techniques? It's been a cornerstone for many, but as AI grows smarter, so must our methods of testing it. Whether it's predictive AI that forecasts outcomes or generative AI that creates new content, the complexity is increasing.The latest World Quality Report tells us that a good chunk of us – over 50% – are investing in automating AI testing. This is promising, but it leads to a couple of important questions. What are the best practices for testing the different types of AI we're developing today? And just as crucially, how are we using AI to make our testing smarter, faster, and more reliable?I'm reaching out to this community to hear about your experiences. How are you handling the nuances of testing predictive and generative AI? What tools and strategies are you finding effective? And if you're using AI to aid in your testing processes, how are you implementing it?These conversations are key to understanding where we are and where we need to be. Let’s pool our knowledge to get a clearer picture of the present and create a roadmap for the future of AI testing.Looking forward to a rich discussion and your valuable insights.#AITesting #MachineLearning #TechCommunity #Innovation #QualityAssuranceAngie JonesJoe ColantonioAlan RichardsonJonathon WrightKristel KruustukAlan PageDaniel KnottStephen PlattenLarry G.Andrew NgYann LeCunDemis HassabisCassie KozyrkovRonald van LoonBrijesh DEB

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END OF AUTOMATED CAPTIONS?Automated Captions: Balance Speed and Accuracy for Success.#captioning#captionvideoi#reels#aicaptioninghttps://lnkd.in/diCBKnj4

An insightful article about the reasoning capabilities of #LLMs.With the rise of #GenerativeAI, many of us may have predominantlyused #LLMs for retrieving information or generating content. However, we may have encountered inaccuracies due to inherent issues such as knowledge cutoff and hallucination. Nonetheless, #LLMs hold the potential to function as highly effective reasoning engines, even for complex tasks. This potential can be realized through tailored strategies specific to the task at hand. Embracing this paradigm shift can lead to greater benefits and reliability than simply regarding #LLMs as a knowledge source.

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END OF AUTOMATED CAPTIONS?Automated Captions: Balance Speed and Accuracy for Success.#captioning#captionvideoi#reels#aicaptioninghttps://lnkd.in/dEyhuBqj

What if we asked AI Why human beings better than machines ?As an AI language model, I don't possess personal opinions or beliefs, but I can provide you with some common arguments that people often make about why human beings are considered better than machines in certain aspects. It's important to note that these arguments are not universally agreed upon and that machines have their own strengths as well. Here are a few points often raised:1. Creativity and Emotional Intelligence: Humans are often regarded as superior in terms of creativity and emotional intelligence. They have the ability to think abstractly, generate novel ideas, and express a wide array of emotions. Machines, on the other hand, operate based on algorithms and predefined rules, lacking the capacity for true creativity or emotions.2. Complex Problem Solving: Humans can tackle complex problems that require critical thinking, adaptability, and intuition. They can analyze situations, make judgments based on various factors, and come up with innovative solutions. While machines can excel in specific areas and perform tasks with great accuracy and speed, they often rely on pre-programmed instructions and lack the ability to think outside of their programming.3. Moral and Ethical Reasoning: Humans possess moral and ethical reasoning abilities that enable them to make decisions based on values, empathy, and consideration for others. They can navigate nuanced ethical dilemmas and take into account the broader consequences of their actions. Machines, being driven by algorithms, lack a sense of morality and make decisions solely based on predetermined rules and data inputs.4. Flexibility and Adaptability: Humans are highly adaptable and can quickly learn and adjust to new situations, environments, and challenges. They possess a wide range of sensory perceptions and can use their physical bodies to interact with the world in diverse ways. Machines, on the other hand, are designed for specific tasks and lack the inherent flexibility and adaptability of humans.5. Intuition and Gut Feeling: Humans often rely on intuition and gut feelings when making decisions or judgments, especially in situations where limited information is available. These intuitive leaps can sometimes lead to valuable insights or solutions that are not immediately apparent. Machines, on the other hand, rely on data-driven analysis and lack the ability to make intuitive leaps without explicit instructions.It's important to note that machines continue to advance rapidly, and there are areas where they already outperform humans, such as in computational tasks, data processing, and repetitive physical tasks. The comparison between humans and machines is complex and depends on the specific context and task at hand.#aivshuman #humandevelopment https://lnkd.in/da5C8buJ

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As artificial intelligence advances, what will happen when machines attain human-like intelligence and become conscious?Will they be considered people or property? Will they be deserving of the same rights, freedoms, and protections that humans have? How will that change the world we live in?Go on a fascinating journey into the world of robot rights with the book: Can You Rape a Robot? Morality, Rights, and the Rise of Conscious Machines.Get your copy today! https://lnkd.in/eGqr3udk

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