Alan Tapfumaneyi’s Post

🌍 The Collective Power Behind AI and ML 🤖✨ When we think of the evolution of artificial intelligence and machine learning, it’s tempting to highlight a few renowned individuals who pushed the boundaries of what's possible. Pioneers like Alan Turing, Geoffrey Hinton, Yann LeCun, and many others deserve recognition for their groundbreaking contributions. However, the reality is that AI today is the result of the combined efforts of a global community. From chip designers and network architects to data scientists, software engineers, ethicists, and researchers in countless fields, thousands of brilliant minds have contributed to shaping what we now call AI. It’s a remarkable testament to interdisciplinary collaboration—where the work of one inspires the breakthroughs of another. Each step forward in AI, from algorithms and computing power to ethics and governance, embodies the dedication of people around the world working tirelessly to innovate, refine, and make responsible technology that benefits humanity. So, while we appreciate the names that make headlines, let’s also celebrate the often unsung heroes whose collective work powers today’s AI. 🌐👏 To the entire global community: thank you for your incredible contributions. #AI #MachineLearning #GlobalCollaboration #TechCommunity #Innovation!

I made 274 posts about the humans behind AI. Here are the top 5 humans (in order): #1: Jensen Huang • Co-founder and CEO of NVIDIA. • The pioneer of AI chips who is loved by all. • Dresses like a biker, speaks like a sensei. #2: Sam Altman • Co-founder and CEO of OpenAI. • The most popular person in AI right now, but not the most loved (lots of drama). • Was president of Y Combinator for 5 years. #3: Mustafa Suleyman • Co-founder of DeepMind and CEO of Microsoft AI. • Left DeepMind to found Inflection AI and brought it to a $4B valuation. • Name reminds me of Mufasa from Lion King. #4: Mark Zuckerberg • Co-founder and CEO of Meta. • Created the biggest open-source AI model: Llama. • His style got better while AI got better. Coincidence? #5: Demis Hassabis • Co-founder and CEO of DeepMind. • Awarded the Nobel Prize in Chemistry last month for developing AlphaFold. • He was knighted in 2024 for “services to AI.” Call him Sir Demis. #6: Bonus • He has been working on AI for 49 years. • Completed his PhD in AI in 1977. • Awarded the Nobel prize in Physics in 2024. • His student fired Sam Altman. • More info in the pinned comment → 📌 If you learned something, that's just the start. Follow Eitan Yehoshua to learn much, much more. I worked on this carousel for over 6 hours, And it was all for you guys. So please share this to motivate me to do it again. And don't forget to... Follow Eitan to meet the humans behind AI. ♻️ Repost so your network can meet them too.

Hey folks! 🌟 Today, I found an amazing talk between Mark Zuckerberg from Meta and Jensen Huang from NVIDIA at SIGGRAPH 2024. They talked about the incredible power of AI and how it can help us in everyday life. Mark introduced 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨, a cool platform to create and share AI characters. Jensen explained how AI can make us more productive and creative. They both see AI becoming a part of our daily lives, making everything easier and better. There are a lot of opportunities now that has opened up after it. We can create our own character which can us as our Assistant, which can help us book our appointments. Let's embrace AI and shape our future together! 🌐💡 #AI #Innovation #Meta #NVIDIA #FutureTech

"The biggest advances in AI are yet to come. We’re just scratching the surface." — Mark Zuckerberg, CEO of Meta Building on this, I believe AI will fundamentally reshape nations, politics, societies, industries, jobs, economies, and education. This transformation will be profound, impacting every aspect of our lives. Those who embrace AI skills and education will lead in a world where AI touches everything. #AI #AICERTs #NetComLearning

Meta's Leaps into AI-Chips [Faster. Stronger. Smarter] That's Meta's new AI promise. → The Meta Training and Inference Accelerator (MTIA) is breaking limits. ↳ Designed for efficiency and ease in AI reasoning tasks. Meta's vision? To revolutionize AI infrastructure. → Next-gen hardware systems are in the blueprint. ↳ MTIA v2 is already stirring the tech waters. With aims to expand into generative AI models, Meta is not playing small. → Imagine training AI like Llama language models with this chip! The new chip specs? A whopping 256MB memory and **1.3GHz speed. ↳ Three times the performance of its predecessor. Meta isn't alone. Google, Microsoft, Amazon—the race for AI dominance is on. → Nvidia's $2 trillion valuation? Just the beginning. What's your take on custom AI chips' impact on future tech? Will Meta's MTIA redefine AI training and inference? ➡ Follow me Master List AI for more of these. ➡ Master AI (Tips, Tools, Trends, News) Here: https://lnkd.in/gM9pWpf5 P.S. Enjoy these? Feel free to Repost #ai #technews #tech #techcommunity #meta

Money💰 🤑💸 talks. Check your electricity bill first, before you talk. AI has doubled the electricity bill of a C-level friend of mine 😥 😿 😞 . Is it worthwhile? Let's try this fact-check question of AI-IP: "Is there any today's data technology/solution you know, that can interpret and answer the following fundamental and realistic Chinese-English multilingual questions of BI?" With our intellectualproperty (IP), a copyrighted multilingual metadata, we can provide real time answers for policy/decision making as evidence. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Metadata is an enabler, whose purpose is to let us find the data we want. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, NVIDIA chips, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your data service UNIQUE globally.

This week in Innovation Unlocks with AI: ⚡️ NVIDIA CEO Jensen Huang and Meta CEO Mark Zuckerberg discussed the future of AI at SIGGRAPH 2024. ⚡️ Kamala Harris' views on AI and regulating big tech. ⚡️ AI boosts forecast success at Cape Canaveral by 50% ⚡️ Meet Yann LeCun, Meta's AI chief challenging the AI hype. ⚡️Find your purpose and fuel your passion with Ikigai. Plus discover how Script.It builds smooth workflows without writing a single line of code. Swipe right for more details ➡️ 📰 Don’t miss out! Subscribe to our weekly newsletter for exclusive early access. Link in the comments section 👇 #AI #Tech #Innovation #Meta #NVIDIA

Meta's Head of AI, Ahmad Al-Dahle, has revealed a major announcement: the Llama 4 model is being trained on a supercluster with over 100,000 H100 GPUs! This may currently be the largest AI model training cluster in the world. Ahmad Al-Dahle also disclosed that Meta is recruiting top-tier researchers with a focus on inference and code generation. This indicates that Meta's AI strategy goes beyond merely training larger models. They appear to be laying the groundwork for next-generation AI technologies, aiming to achieve breakthroughs in critical areas. #AI #Meta #GPU #Llama #LLM #opensource

I had the incredible opportunity to meet Yann LeCun today at Meta's Build with AI Summit in Bangalore! 🎉 Yann LeCun is a true pioneer in the field of artificial intelligence. As the Vice President and Chief AI Scientist at Meta, he has significantly influenced modern AI through his groundbreaking work on convolutional neural networks (CNNs), foundational to how machines interpret visual data. Meta's approach of open-sourcing and democratizing technology has played a key role in reshaping the Generative AI landscape, making cutting-edge models more accessible and cost-efficient, thus driving affordability across the field. In a panel discussion between Yann LeCun and Nandan Nilekani, LeCun highlighted the current limitations in reaching human-level intelligence, emphasizing the need for improved architectures from a model standpoint. Nilekani, on the other hand, stressed the importance of utilizing existing open-source models to drive large-scale impact in India. I left the summit energized by the possibilities ahead, especially in how democratized AI can create real-world impact at scale. Looking forward to contributing to this transformative journey! #LLM #Llama3.2 #AI #MachineLearning #Meta #YannLeCun #BuildWithAI #Meta #ComputerVision #CNN