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What are your thoughts on the future of AI? How do you see these innovations impacting your industry?

Is the way we're interacting with AI (particularly chatbots) changing? An interesting perspective from Bloomberg says it's true: OpenAI's latest models are evolving from quick responses to a more thoughtful "co-pilot" capable of reasoning through intricate tasks. And while that's good for utility, it says public perception of AI is shifting--people who were once intrigued by the potential are increasingly worried about bias, misinformation, and job displacement. Most of us who analyze trends have seen this for a while, but it's notable when we're talking about tools that encourage deeper, more cognitive interaction. I’m wondering how more ‘thoughtful’ responses by this series will feel to us. During Oprah Winfrey’s AI special, she expressed amazement (and maybe a bit of shock) in how it seemed #ChatGPT answered— even before she’d finished her question. That’s relatable for most of us who have tried these tools. It can be a bit disconcerting. In conversation and connection- humans don’t inherently like rushed responses. We don’t consider someone’s impulsive answers to be the most credible. We appreciate thoughtful reasoning, and we like pauses for impact and to signal— hey, pay attention to this. What opportunities and risks arise when chatbots get closer to mimicing our natural language— our more complex reasoning- and even master our pacing and cadence of speech? Link: https://lnkd.in/eUVQhy2c Bloomberg News ASU College of Global Futures Foresight Institute IEEE #humanAIinteractions #AIpublicperception #chatbots #AI

With the rise of tools like ChatGPT, experts consider the carbon cost of AI and how we can offset it. Nat Meysenburg of New America's Open Technology Institute examines AI’s power consumption and what must be done to prevent new AI models from becoming ecological catastrophes. 🤖 https://bit.ly/43JTUJF

OpenAI's ChatGPT is setting new standards in AI by achieving advanced levels of reasoning. This development allows artificial intelligence to make more "reasonable" decisions, improving its ability to understand context and provide accurate, insightful responses. These advancements are pivotal for enhancing AI's role in decision-making and user interaction across various industries. Explore how this breakthrough in AI technology is poised to impact the future of artificial intelligence and its practical applications by reading this Axios article today! #ArtificialIntelligence #TechInnovation #OpenAI #ChatGPT #ReasonableAI #GenerativeAI #TechAdvancements https://lnkd.in/deWps-f6

Tips on safely using #AI tools like #ChatGPT, #Midjourney and others on your computer, minimizing the risk of #dataleaks to the internet.

I’d like to discuss the significant changes demonstrated by OpenAI with the release of the GPT-4o model. Firstly, OpenAI has previously developed models with specialized capabilities, such as ChatGPT for understanding language, Whisper for recognizing speech, and Sora for generating video. Now, it seems that OpenAI is moving towards integrating these diverse capabilities. This suggests that an end-to-end approach, consolidating multiple functions into a single model, is becoming crucial. Secondly, it appears that OpenAI has decided more everyday data from regular people is necessary to create more useful and approachable AI models. Although OpenAI has gathered a wide array of data from the internet to create impressive models, there seems to be a limit to how naturally these can be integrated into daily life. While researchers and tech enthusiasts may find these developments remarkable, they might not meet the actual needs of the general public. Lastly, I believe that this advanced AI technology will eventually be incorporated into household robots. Each home might have its own robot, enhancing our lives and making everyday tasks more convenient, much like cars have become an essential part of our daily lives.

📰 Artificial intelligence (AI) is everywhere. Let's cut through the jargon and break down some of the most common AI terms. ✅ Key AI Terms 🔸Machine Learning: This is a subset of AI that allows computers to learn from data without being explicitly programmed. Think of it as teaching a computer to recognize patterns. 🔸Artificial General Intelligence (AGI): This is the holy grail of AI – machines that are as smart or smarter than humans. We’re not there yet, but it’s a hot topic in the AI world. 🔸Generative AI: This type of AI can create new content, like text, images, or even music. Think of tools like ChatGPT or image generators. 🔸Hallucinations: Don’t worry, we’re not talking about spooky visions. In the AI world, hallucinations refer to AI-generated content that is incorrect or misleading. 🔸Bias: AI systems can be biased, reflecting the data they were trained on. This can lead to unfair outcomes. ✅ Understanding AI Models AI models are the brains behind many AI applications. Here are some key terms related to models: 🔸Large Language Models (LLMs): These models process and generate human-like text. ChatGPT is a famous example. 🔸Diffusion Models: These models create new content, like images, by adding noise to existing data and then removing it in a way that generates something new. 🔸Foundation Models: These are large AI models trained on massive amounts of data that can be adapted for various tasks. 🔸Training: This is the process of feeding data to an AI model to help it learn. ✅ The Hardware Behind the AI 🔸GPUs: These graphics processing units are essential for training AI models. 🔸NPUs: Neural processing units are optimized for AI tasks and are found in many smartphones. ✅ AI Companies to Watch 🔸OpenAI: The creators of ChatGPT. 🔸Google: With its Gemini model and other AI initiatives. 🔸Meta: Focuses on large language models and open-source AI. 🔸Microsoft: Partnering with OpenAI and integrating AI into its products. And that’s just the tip of the iceberg! #AITrends #AINews #ChatGPT #HeyDevs #TechNews 🌐 www.heydevs.io

🚀 GT Protocol Weekly AI Digest No. 6: Surveillance, Innovation & Regulation This week, we’re diving into some of the most exciting, surprising, and even controversial AI trends. Curious about AI’s role in art, education, or tech? We’ve got you covered with the latest updates ⬇️ 🕶 AR Glasses 'Orion' from Zuckerberg: Mark Zuckerberg introduced Orion, lightweight AR glasses with advanced features like 3D avatar calls, gaming, movies, and real-time speech translation. 🔍 Google’s New AI Detection Feature: Combatting deepfakes, Google introduces a tool to verify AI-manipulated images, aiming to curb disinformation. 📚OpenAI Academy Launches: OpenAI has introduced its Academy, designed to educate the public on how to use AI tools responsibly and ethically. 📱 ChatGPT on a TI-84 Calculator?: An engineer has managed to run ChatGPT on a graphing calculator, blending nostalgia with cutting-edge AI, but also sparking debate over academic integrity. Read more on Medium for all the details 👉 https://smpl.is/9nqp1

In just two months, ChatGPT's public edition grew to 100 million users. It became by far the fastest-growing app ever and democratized AI in a way never seen before. What distinguishes generative AI from all other forms of AI is its unconventional accessibility. It can be used by almost anyone who can ask questions, so users don't need a degree in machine learning to interact with it or get anything out of it. Additionally, one generative AI platform may create a multitude of applications for audiences of any age or educational background, in any location with internet connectivity, just like past ground-breaking technologies like the iPhone or personal computer. Because generative AI chatbots are driven by foundation models, which have extensive neural networks, all of this is conceivable.

The perpetuation of gender biases by AI systems is a stark reminder that even cutting-edge technologies are not immune to societal prejudices if the teams behind them lack diversity. We should applaud the efforts of companies like Anthropic, with co-founders Dario Amodei and Daniela Amodei, who are leading the way in building more inclusive and responsible AI by ensuring women and other underrepresented groups have a seat at the table.