Allen S. Firstenberg’s Post

𝗪𝗵𝗮𝘁’𝘀 𝗵𝗼𝗹𝗱𝗶𝗻𝗴 𝘂𝘀 𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝘁𝗿𝘂𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗚𝗜)? I recently watched a fascinating podcast episode (https://lnkd.in/e4k2vMQd) that explored the limitations of large language models (LLMs) and what it will take to achieve AGI. The discussion highlighted that while LLMs are powerful in processing text, AGI requires integrating multiple data points—visual, auditory, and sensory information—into AI systems. As Yann LeCun has pointed out, complex reasoning and true understanding arise from this diverse data, not just from scaling up text-based models. 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘁𝗼𝗱𝗮𝘆’𝘀 𝗟𝗟𝗠𝘀 𝗮𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲: 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: LLMs excel at specific tasks, especially when tailored to your needs using a custom GPT. This approach integrates your unique data, making the model more effective for your specific use case. Such as style of writing, company USPs and corporate identity. They might not "understand" in the human sense, but they deliver impressive results where it counts—like writing marketing copy that aligns perfectly with your brand’s voice. Instead of getting caught up in the AGI hype, let’s make the most of what LLMs can do right now. What do you think—does AI need to understand, or is it all about getting the job done? Are you already working with customized GPTs? Let me know your use cases in the comments.

Incredible presentation by Neil Zeghidour at #DOTAI2024! Current voice AI applications often fall short: interactions resemble clunky walkie-talkie exchanges, with frustrating delays between input and response. Enter Moshi by Kyutai. Despite having fewer resources than tech giants, they've achieved a breakthrough: real-time voice interaction with natural interruptions and an astonishingly human-like tone. The result is nothing short of revolutionary. This leap forward in voice AI technology promises to transform human-machine communication. As we look ahead, we can anticipate more intuitive, responsive voice-based applications permeating various industries and our daily lives. Kyutai's Moshi is at the forefront of this exciting frontier, paving the way for a future where our interactions with AI become seamlessly natural and profoundly more effective. #AI #VoiceTechnology #FutureOfTech #Innovation

" AI won't steal our jobs, people using AI will! " 👀 In this episode, join Cesar Legendre, CTO at Prophecy Labs, as he demystifies the world of Large Language Models Operations (LLMOps). Cesar unpacks the complexity of LLMOps, shedding light on its importance in the current landscape and its impact on designers by providing clear and accessible insights. Tune in to dive into the world of AI and LLMs and discover how it shapes the future of design and business. Listen to this episode on your favourite platform and subscribe to Flux. 🎧 The link is right there in the comments 👇 🔗 #podcast #flux #AI #artificialintelligence #LLM #LLMops

Imagine instant voice transformation and seamless interaction, all powered by advanced AI capabilities! Whether you're an enthusiast, a developer, or just curious about the future of voice technology, check out the podcast to learn how Moshi is pushing the boundaries of AI-driven communication. 🎧✨ Special thanks to #DotAI conference for bringing this inspirational talk to the forefront! 🙌

❓ Is AI the ultimate creative hack… or just another trap? Jack Threlfall and Kenneth Dan Jørgensen break down the myths and misconceptions surrounding AI and reveal what it really takes to make AI work in the creative production space. 🤖 In the episode, we discuss: • Why relying solely on AI can lead to shallow, surface-level content • How AI is helping transform quality assurance and translations • How SPRING Production uses AI to amplify, not replace, human creativity • Practical tips for avoiding the AI trap 📺 Watch now to discover how we make AI work. https://lnkd.in/dWkBmcEx #AskSPRING #creativeproduction #marketing #podcast #AI

Are you a creator? Making content online for social media or your podcast? Not sure if you should use AI in 2025? Here’s a clip from the latest ep of @TodayInSpacepod - My Morals & My WHY on using AI | Being Creative & Staying Human Watch here (~7 min) Using AI in 2025 | My Morals & My WHY | Being Creative & Staying Human

For all you deep technical folks who have been following the happenings in the LLM & Generative AI space very closely: This is an absolute masterpiece of a podcast. Yann LeCun is right at the top of our field when it comes to AI researchers deeply thinking about the true nature of intelligence, and Lex Fridman is a master podcaster & storyteller who has the technical chops to keep up with Yann but also distill that deep knowledge for the rest of us mere mortals. Lex is the first podcast I ever started watching due to the sheer caliber of the guests he invites. #generativeai #llm #ai #agi https://lnkd.in/drMYG5-P --- TLDR My main takeaway - Autoregressive models (such as the LLMs of today) are too shallow to truly model intelligence. They work well to simulate the world of Natural Language (because text is the most information-poor, abstracted-out data modality with limited vocabulary & syntactical patterns), but as a model of reasoning & intelligence, they are likely to fail in the far-more complex world of images & video. In a true model of intelligence, an Autoregressive LLM can likely only function as a language layer built on top of a deeper World Model that interacts with the world, plans states and makes predictions in an abstract representation space. LeCun's JEPA idea is the first step in this direction - I'm excited to see how I-JEPA & V-JEPA eventually lead to a more robust form of AI. From reading "The Brain" by David Eagleman, I drew parallels with the fact that this is how human babies develop intelligence through embodied experiments and learn about the real world as well. Even the demo videos from Sora, the most advanced Generative model in video pixel space, were full of logical inconsistencies showing the model hadn't properly learnt real-world physics - to truly develop a model of intelligence, we probably have to go beyond pure Generative AI - Generation may have to come only after we build a robust model of the world in representation space. Plenty of fascinating insights - I cannot recommend this podcast more if learning about the deep science behind intelligence is what gives you your kick 😀 Update: For a great follow-up post to this from Yann himself - check out this link: https://lnkd.in/dCUN_2Bi

Why do we keep forcing AI to be the next Terminator? It wants to help you reach your goals, not take over the world. We’re putting too much pressure on AI. What if instead of world domination, it just wanted to help us out? Stop assuming the worst and start seeing how AI can make your life easier and your business smarter. Learn the real secrets to leveraging AI for massive success in this episode! Tune in NOW!https://lnkd.in/gN9yqtvt #DarkMode #JohnCoyle #CaseyFehrnstrom #MarketingIdeas #MillionDollar #EcommerceInsights #CreativeStrategy #PodcastLaughs #BusinessTalks #AIandBusiness #EntrepreneurHumor

🚨 We can't afford to run Large Language Models anymore🚨 In our latest AI Basecamp podcast episode Jonas Petersen and I dive deep into why Small Language Models (SLMs) are the future of AI. In this episode, we explore: - What are Small Language Models? - How do they compare to LLMs? - Real-world applications of SLMs - The future of AI democratization Want to learn more about how SLMs can revolutionize AI while being more sustainable? Check out the full episode here link in the comments! #AI #SmallLanguageModels #Sustainability  

🚀#GenAI360Express#Podcast Season 1 Episode 7🚀 S1E7 - Unpacking the Key Models of Generative AI | GenAI360 Express 🌟 To catch all episodes, make sure to subscribe to our channel  📺👉 https://lnkd.in/gTN4VvKp 📺👉 https://lnkd.in/gDWgpjvr 🎧🎵 Listen on YouTube: S17 - https://lnkd.in/gfHcn2CH 🎧🎵 Listen on Spotify: https://lnkd.in/gJvC5tiv 🚀 Dive into the Ethical Considerations of Generative AI of #GenerativeAI with Neelima Mangal 🤖 Each episode offers a brief yet thorough overview of#GenAI, making complex concepts easy to grasp. Whether you're new to the field or looking to expand your knowledge, this podcast provides valuable insights into GenAI's applications, benefits, and impact. 🚀 🌀 GenAI360 Express - A 360 Second View 🌀 S1E7 - Unpacking the Key Models of Generative AI | GenAI360 Express Here are the 5 key takeaways from the episode with emojis: 🔒Prioritize Privacy: Ensure sensitive data is kept secure and not shared without permission. Conduct privacy audits to comply with data protection laws. 🔄Reduce Bias: Conduct bias audits to understand if your data represents a diverse population and if the collection process was accessible to all. 👩💼Accountability: Define chains of accountability for AI systems, including responsibility for decisions made by the systems. ✊Respect Human Rights: Ensure your AI app doesn't discriminate against users based on factors like race or gender. Treat all users fairly and equally. 📜Regulation and Governance: Follow regulatory frameworks and governance mechanisms to develop and use AI responsibly. Obtain certifications and adhere to industry standards. #GenerativeAI is reshaping creativity and innovation across industries, offering new ways to create and interact with content. Continue dreaming big with the enchantment of #AI! 🚀 Don't miss out on this thrilling voyage into the realm of Generative AI 🌀 #GenAI360 #AI #ArtificialIntelligence #Innovation #Technology #Podcast #NeelimaMangal