Yaser Bishr

Thanks for sharing this, Mark Minevich! I am also an ex-IBM and ex-Boston Consulting Group (BCG), and like you, I've been in AI since Microsoft Azure was born! I respect and admire leaders like Yann LeCun for his intellectual capabilities as well as for the #courage to stand up and call out the decisive point society is experiencing. I also find this vision both exciting and urgent. As for your question: "Are we ready to ensure AI becomes the catalyst for progress, not division?" I would say not yet. But we must shift our #mindset from being egocentric to truly dealing with polarization and other societal issues faster—so that we can work together *effectively* to shape this future into something amazing. "His conclusion that AI could lead humanity into a new enlightenment—where curiosity and innovation thrive—is both a challenge and an opportunity for us all." This statement is accurate; let's address the challenges by confronting issues directly and ignite the remarkable opportunities that lie ahead. #valuesmatter #opportunities #challenges #togetherwewin #futureofAI #society Happy 2025! May it be much better than 2024 was!

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Congrats to the Tabnine team!! - Gartner evaluated them across all 5 AI use cases in Gartner® Critical Capabilities for AI Code Assistants against 11 other vendors and ranked Tabnine #first for #CodeGeneration, #CodeDebugging, and #CodeExplanation use cases, and second for #CodeModernization and #ArtifactBuilding and #Testing use cases. The company also released the newest chapter of their O'Reilly guide on AI for the #SDLC. Customers are enjoying the choice between various #LLM's including #Claude 3.5 Sonnet and #GPT-4o in real-time. I love #investing in #extraordinary #founders - we're living in the Wow Era!

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What do Aravind Srinivas (CEO of Perplexity.ai), Yann Lecun (Chief AI scientist, Meta), Steve Case (founder of AOL), Dinesh Maheshwari (CTO Groq), and Ramin Hasani (CEO Liquid AI) have in common? They all participated in the Imagination in Action summit at Massachusetts Institute of Technology (MIT) yesterday. and this is just a short list of the amazing speakers and participants at this amazing event. Here are a few key takeaways: 1. Human relationships, human collaboration, and human innovation are going to be even more important in the age of AI. It was important for me to start with that, as many people believe AI is taking over the world and that is not the case. which leads me to: 2. The smartest people in the AI world today are concerned about the potential negative impacts of AI, and are investing significant resources to reduce those risks. That being said - they are running forward at an astonishing speed, so I am not sure what they are doing is enough. 3. Several breakthroughs are required in order to allow us to get to AGI, and to make this technology scalable to every process and every device. the current compute requirements are just to high. companies like Groq with their LPU innovative chip design that runs 10-1000 times more efficient than NVIDIA JPUs, and companies like Liquid AI with their innovative AI architecture, are spearheading some of these efforts. 4. There is a huge number of REALLY SMART people who are working on using AI to solve some of the biggest problems of the human race and our planet, such as curing cancer, fighting viruses, supporting the elderly, and much more. It was truly inspiring to see. 5. The entrepreneurial spirit is alive and well. over 100 startup founders participated in the event. 80 of them came to give a 90 seconds pitch (yes, 90 seconds). 6. Future models will have significantly less hallucinations, they would be able to understand our world (which they do not today), and hence, will be able to reason and plan. 7. While the number one concern about AI at the enterprise level is Data Security, there are more and more solutions that allow you to benefit from AI benefits while maintaining 100% control over your data. 8. The open source world of AI, is a critical component to the successful future of wide AI implementation 9. The future of code writing and interacting with computers is going to change dramatically. Natural language, voice, and vision, will allow us to program and use computers in a much more intuitive way. Computers will adapt to humans and not humans to computers 10. The conversations outside of the 4 presentation halls were as fascinating as the speakers and I met some amazing people, and I am grateful for meeting every one of them 🙏 BTW - I am still in Boston today (Friday the 19th), so if anyone wants to meet and talk, show me cool things in Boston or MIT, or geek about AI, or just chat, drop me a DM) Thank you John Werner for putting this amazing event together!

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The future of AI isn't a sudden leap, but a steady climb. INSEAD experts predict a fusion of rule-based and neural systems, promising enhanced accuracy and broader knowledge. Yet, the holy grail of human-like AI remains elusive. What's your take on AI's evolutionary path? #ArtificialIntelligence #FutureOfTech #AIEthics #InnovationTrends #TechLeadership

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Did a quick GAT analysis of the AI startup ecosystem from 2013 and identified the top 10 most influential investors, including Sequoia Capital, Insight Partners, and NVIDIA, who shape the landscape through their investments and partnerships. Findings provide valuable insights for AI startup founders seeking to raise funds at different stages, with recommendations on which investors to focus on for Series A, Series B, and later rounds. Just a small experiment, have fun. https://lnkd.in/gMJkHqvq

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In recent months, we have seen a significant expansion of Large Language Models (LLMs) beyond web-based chatbots and into enterprise-grade formats and applications, indicating progress towards a future where AI seamlessly integrates into our everyday life. As we continue to transition from personal LLM use cases and towards more professional solutions, I see three features as critically important to driving value in the enterprise: interoperability with vertical applications, edge computing, and resource efficiency. Read more in my latest AI Atlas: https://lnkd.in/eMhDA6f9

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75 generative AI companies are reshaping our digital landscape. From OpenAI's ChatGPT to Anthropic's Claude, these innovators are transforming industries like healthcare, creativity, and business operations. The AI revolution is here - are you ready to adapt and thrive? #GenerativeAI #TechInnovation #AIStartups #FutureOfWork #DigitalTransformation

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Despite the noise by high-tech corporations, #startups, #VCs, and analysts, we are in the early phase of #generativeAI. While we don't know if it will transform every business process driving operational efficiencies, create new revenue streams, result in massive productivity improvements, and curtail costs, the early signs are encouraging for pilot projects.

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AI agents are evolving rapidly, merging reasoning with tool-calling abilities to tackle complex tasks. This fusion is reshaping how AI interacts with its environment, from web searches to API calls. But it's not without challenges – balancing multiple tasks and selecting the right tools are critical hurdles. As the field progresses, expect to see more specialized models emerge, each fine-tuned for specific functions like planning or tool execution. #AIAgents #GenerativeAI #MachineLearning #TechInnovation #FutureOfAI What specialized AI models are you most excited to see develop?

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A Must-Listen Podcast for Serious AI Aficionados If you are a serious AI aficionado, you have to listen to this podcast by two of my MIT Sloan CIO Symposium colleagues Allan R. Tate and Irving Wladawsky-Berger . 🎙️ They explore the Limitations of Large Language Models—diving into challenges like context, reasoning, and accuracy in AI applications. Gain actionable insights on how business leaders can leverage LLMs responsibly while navigating their constraints. https://lnkd.in/gHM-ipN2 #AIInsights #LLMLimitations #ResponsibleAI #MITCIO #FutureOfAI

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🚀 coeo AI Lab's Bold Leap: Pioneering Next-Level Voicebot & RAG Architecture 🌟 Exciting news from our AI Lab! Since the launch of our very own AI ecosystem, named cAI, earlier this year, we've relentlessly pursued innovation. The live deployment of the first cAI modules has already processed hundreds of thousands of interactions across calls, emails, and documents, driving a significant business impact. 🤖 Today, we took a deep dive into our current cAI-Voice-Agent's performance. I'm ecstatic to share that we've integrated a cutting-edge approach based on cellular automata. This has enabled us to merge NLU and Dialogue Logic seamlessly within a GenAI system. The outcome? Our ability to swiftly roll out new features and use cases has accelerated, all while maintaining peak performance levels. 📈 Another breakthrough from today's workshop was the introduction of an advanced Retrieval-Augmented Generation (RAG) architecture for our scoring models. This refinement allows us to make more precise, context-aware decisions using specialized embedding models and small language models, all on a budget-friendly infrastructure. 🔍 Stay with us as we continue to innovate and optimize, ensuring that our cAI ecosystem remains at the forefront of AI technology. #AI #cAI #Voicebot #RAG #MachineLearning #Forderungsmanagement #artificialintelligence #genAI #generativeAI #TechNews #DebtCollection #coeo #coeogroup

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As we confront today’s online harms, we must prepare for the next frontier: an embodied, immersive internet powered by #AI, #biotech, #decentralization, and #quantum #computing. While tech companies distract us with superficial features and short-term solutions, they remain opaque about their true vision for our digital future—one that will fundamentally reshape human experience, society and childhood. As we vitally address the online harms of today, my focus is on the next iteration of the internet—the embodied internet, a transformative evolution fueled by #quantumcomputing, #AI, #biotech, and #decentralization. These technologies are converging to create a digital landscape that is more immersive, personalized, interconnected and powerful than ever before. 🔆 AI is driving unprecedented advancements in how we interact with technology, enabling systems to adapt and respond to human behavior in real time. 🔆 Biotech is blurring the lines between the physical and digital, opening possibilities for human augmentation and new forms of interaction. 🔆 Decentralization is reshaping power structures, offering the potential for greater equity and autonomy in digital spaces, but also raising questions about governance and accountability. 🔆 Quantum computing is unlocking new possibilities in data processing, encryption, and simulation, providing the computational power needed to support these transformative technologies. As we move towards an internet enhanced with #spatialcomputing, where digital experiences become increasingly embodied and integrated into our physical world, we must prioritize the development of frameworks that protect and empower users. I'm committed to fostering these conversations and helping shape a future where innovation and responsibility go hand in hand. . 📚 Essential reading for understanding this future: "The Age of Surveillance Capitalism" by Shoshana Zuboff "Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark "Reality+" by David Chalmers For more on my work and insights: www.ninajanepatel.com 📸 NBC News #CuriosityShapesTomorrow #SpatialComputing #EmbodiedInternet #DigitalSafety #EmergingTech #AI #Biotech #Decentralization

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#Physical_AI is reshaping industries by integrating artificial intelligence into physical devices like #robots and autonomous vehicles, enabling smarter real-world solutions. This shift opens doors to new innovation and efficiency across sectors. NVIDIA’s Jetson platform and Isaac Sim tools are driving this transformation, empowering startups to develop cutting-edge products faster and at lower costs. Their robotics ecosystem fosters collaboration and accelerates the adoption of intelligent technologies. From smart #manufacturing to #healthcare and #logistics, the potential is limitless. #Startups that embrace Physical AI today will lead the industries of tomorrow. #AI #Robotics #Innovation

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The AI revolution isn't about flashy chatbots or sci-fi fantasies—it's about transforming the backbone of IT and unlocking new levels of productivity. At #FII7, we explored the real-world, commercial impact of AI on industries that drive our economy. Here’s something crucial to understand: Chatbots and Large Language Models (LLMs) are inherently inductive, which means they learn patterns from data and make predictions based on probabilities. This is why they will never be error-free. True safety, especially in high-stakes industries like healthcare or aerospace, requires deductive AI—AI that can ensure data model relationship integrity and produce error-free, reliable outcomes. The future lies in combining inductive, deductive, and social systems, with humans always at the center. As we prepare for #FII8, the message is clear: AI’s biggest impact is in the "boring" infrastructure, where the potential to automate IT services and healthcare is about to explode. This is where true progress and operational efficiency will be unlocked. Stay tuned for more on how AI is reshaping industries. #AI #FutureOfWork #NeurosymbolicAI #FII7 #AIApplications #AIinfrastructure #InductiveVsDeductive https://lnkd.in/gSX5K-86

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A recent article discusses why some #AI "#OpenModels" may actually be AI "#Proprietary in Open Clothing". The #ModelOpennessFramework (MoF) provides a process for data scientists to evaluate and classify the completeness and openness of ML model artifacts across the development process. After models are evaluated, they are classified as Open Source, Open Data or Open Science. The MoF classification provides consumers with a means to compare "Open" AI model choices and make an informed choice. https://lnkd.in/egwrdyRe Raghavan Muthuregunathan LF AI & Data Foundation

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From Strategy to Execution: Enterprise AI Deployment Playbook https://buff.ly/4fkQRwC by @rafaigual framework encompassing prep, training, application, and tracking, emphasizing the importance of both company-led and employee-driven Enterprise AI Adoption initiatives! #rafAIgual

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The insurance sector is not very 'AI mature', says BCG. Yet of all the sectors in the economy it has the most to gain from AI augmentation (see previous posts). The 3 'biggest challenges' - literacy, prioritising opportunities, and identifying ROI - are precisely the 3 areas we established AI Risk to address. In fact, one of our most powerful AI tools - based on a unique LLM - can quantify the augmentation opportunity for every individual job task, role and function within a few weeks. Along with some related methods the 3 'biggest challenges' for the insurance industry become 'unblocked'. To understand what's possible today, if you have access to the right skills, see the wonderful case study here: https://lnkd.in/eeU3Ti-m

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