Post de MD Fazal Mustafa

Is Nvidia Redefining Tech with AI Dominance? 🌟 With Nvidia briefly overtaking Amazon and Alphabet in market value, fueled by the AI frenzy, key questions arise about its trajectory. 📈 A staggering 223% surge in stock value in a year solidifies its position. All eyes are on its February 21 quarterly results. In light of these developments, how might Nvidia reshape the tech landscape? Share your thoughts #NVIDIA #AI #AIDevelopments

When someone says that GenAI is just a buzzword, one example immediately comes to mind: NVIDIA. It took them 30 years to reach a $1 trillion market cap. With the AI boom and their very smart BD strategy around AI, it took them it took them just over a year to leap from $1 trillion to $3.3 trillion. And become the world’s most valuable company, outperforming Microsoft, Apple, and Alphabet Inc. Numbers speak for themselves. https://lnkd.in/gEhQrdns #nvidia #aibd #genai #aichips #aistrategy

🚀 Nvidia’s Explosive Growth Masks AI Disillusionment 🚀 In a recent Bloomberg Opinion piece, Parmy Olson highlights the dangers of the AI hype fueled by Nvidia's meteoric rise. While tech giants have set sky-high expectations, businesses are worried about costs and security concerns. Is AI a jack-of-all-trades or just a master of a few? Should those of us involved in AI provide more tailored applications and guidance to avoid hype? #AI #TechIndustry #Nvidia #ArtificialIntelligence #BloombergOpinion #ParmyOlson #TechBubble #ExpectationsManagement #SustainableGrowth https://lnkd.in/d_YSngFV

🤖 Did ChatGPT and Gemini run out of new data to be trained on? 😿 Despite NVIDIA's record revenue and Elon Musk's bold predictions of human-level #AI next year, the reality of AI's growth may not match the hype. While the AI hype train seems unstoppable, significant challenges loom. The rate of improvement is slowing, and the expected vast applications of AI are fewer than anticipated. Additionally, the exorbitant costs of building and running AI models raise concerns about profitability and long-term viability. The crux of the issue is that current large language models like #ChatGPT and Google's #Gemini have been trained on nearly all available internet data. As they run out of new data to ingest, their improvement pace diminishes. This raises questions about AI becoming commoditized and whether the heavy investments will yield the expected returns. 💭 #ArtificialIntelligence #TechTrends #Innovation

I expected AI to become commoditized, essentially a nice adjunct to the existing search engine technology...and for the hype to settle down...but I didn't expect it quite this quickly...~r Nvidia reported eye-popping revenue last week. Elon Musk just said human-level artificial intelligence is coming next year. Big tech can’t seem to buy enough AI-powering chips. It sure seems like the AI hype train is just leaving the station, and we should all hop aboard. But significant disappointment may be on the horizon, both in terms of what AI can do, and the returns it will generate for investors. The rate of improvement for AIs is slowing, and there appear to be fewer applications than originally imagined for even the most capable of them. It is wildly expensive to build and run AI. New, competing AI models are popping up constantly, but it takes a long time for them to have a meaningful impact on how most people actually work. These factors raise questions about whether AI could become commoditized, about its potential to produce revenue and especially profits, and whether a new economy is actually being born. They also suggest that spending on AI is probably getting ahead of itself in a way we last saw during the fiber-optic boom of the late 1990s—a boom that led to some of the biggest crashes of the first dot-com bubble. The pace of improvement in AIs is slowing Most of the measurable and qualitative improvements in today’s large language model AIs like OpenAI’s ChatGPT and Google’s Gemini—including their talents for writing and analysis—come down to shoving ever more data into them. These models work by digesting huge volumes of text, and it’s undeniable that up to now, simply adding more has led to better capabilities. But a major barrier to continuing down this path is that companies have already trained their AIs on more or less the entire internet, and are running out of additional data to hoover up. There aren’t 10 more internets’ worth of human-generated content for today’s AIs to inhale. https://lnkd.in/gUtneSmX

🤖 Unlocking the power of Artificial Intelligence 🤖 This week Nvidia announced its latest Artificial Intelligence (AI) chip, which can perform some tasks *30 times* faster than its predecessor. The pace of change in this space is incredible, and use cases for machine learning within #payments are increasing all of the time: ➡️ Fraud detection and prevention ➡️ Customer experience and service delivery ➡️ Credit risk decisioning engines ➡️ Marketing and targeted financial promotions What do you think will be the next evolution of AI within financial services? #ArtificialIntelligence #AI #Technology Lloyds Bank Corporate & Institutional Gabriela Ostrovsky Charley Thornborrow Gary Shaw Scott Jamieson Jack Davies Lauren Wade Aaron Frazer Neil Harrington CP.APMP Ellen Webb Gaby Skorka Michael Forde Joseph McKenna https://lnkd.in/eq5tQQFi

AI Surge: Tech Giants' Market Cap Soars in June In June, AI-focused technology firms, primarily chipmakers, witnessed significant surges in their market capitalization. NVIDIA, buoyed by a remarkable 27% increase in its shares, briefly surpassed Microsoft to claim the title of the world’s most valuable company with a market cap soaring to $3.34 trillion. https://is.gd/hdWlHn #AI #AItechnology #artificialintelligence #llm #machinelearning #Techgiants

🚀 Microsoft and Palantir are making waves, but it’s the faltering Nvidia and OpenAI exit that's grabbing headlines today. And guess what? AI Pin is back 👀 💥 Nvidia's unexpected stumble sends shockwaves through the tech world. Are we seeing the peak of AI hardware innovation? 🔮 An OpenAI exit? Yup, you heard it right. Change is the only constant in the AI universe. But what does this mean for the future of generative AI? 🔥 Meanwhile, AI Pin returns with a bang, promising to revolutionize virtual assistants. Are we finally ready for the next phase of AI? Tap into the full story 👉 [AI news roundup - Quartz](https://lnkd.in/gADrmzAh) What’s your take on these shifting sands in AI? Drop a comment below! ⬇️

𝐍𝐯𝐢𝐝𝐢𝐚'𝐬 𝐀𝐈 𝐝𝐨𝐦𝐢𝐧𝐚𝐧𝐜𝐞 𝐥𝐞𝐚𝐯𝐞𝐬 𝐈𝐧𝐭𝐞𝐥 𝐚𝐧𝐝 𝐀𝐌𝐃 𝐬𝐜𝐫𝐚𝐩𝐩𝐢𝐧𝐠 𝐭𝐨 𝐛𝐞 𝐍𝐨. 𝟐 Source: By Yifan Yu via Nikkei Asia💡 (https://lnkd.in/g7cYdPNu) NVIDIA is on a roll, reporting that revenue more than tripled for the third straight quarter and touting a rosy outlook for the rest of the year. But rivals are accelerating their push to dethrone -- or at least gain ground on -- the U.S. #chipmaker that has become synonymous with the #AI boom. A flurry of announcements this week underscored the ongoing ascent of #AI. OpenAI, Microsoft and Google all unveiled -- or promised -- more powerful #AI models, better human-#AI interaction and even all-purpose virtual assistants that can do everything from play #videogames to handle the weekly shopping.

A WSJ article on AI grabbed my attention, and it got me thinking about the split opinions in our industry. From where I'm standing, AI isn't just moving forward—it's speeding up like never before. We've maxed out context window sizes, and open-source models are catching up to GPT-3.5, making it possible to do local inference. Embedding models, vector databases, generative voice tech, and media are all advancing at lightning speed. Plus, cloud GPUs are now cheaper and more accessible than ever, making tasks that were once tough seem almost easy. So, how can anyone say "AI is losing steam"? 🤔 The article claims AI "could become a commodity." That's awesome. It's the "ephemeralization of value" happening right before our eyes—tech getting cheaper and more accessible, just like how today's smartphones are way more affordable and powerful than early personal computers. Open source is the poster child for this, giving everyone free access to top-notch tech. Sure, the early investment opportunities in AI might be drying up, and a bunch of startups might crash and burn. Overhype and missteps are part of the game with any new tech wave. But the tech itself isn't slowing down; it's just growing up. 🚀