Cory M.’s Post

The fundamental problem with ChatGPT and other large language models (LLMs) is that they do not understand what words mean. They are very much like a young savant who can recite every word in all six volumes of the History of the Decline and Fall of the Roman Empire without comprehending any of the content. Without such comprehension, LLMs are not going to morph into artificial general intelligence (AGI) — the ability to perform any intellectual task that human beings can do. Many AI enthusiasts — including Tesla’s TSLA Elon Musk, Jensen Huang of Nvidia NVDA and pioneering AI researcher Ben Goertzel — nonetheless claim that AGI is just a few years away. This cheerleading certainly helps raise funds (just ask ChatGPT’s Sam Altman) and sell computer chips (just ask Nvidia) but it is increasingly recognized that the breathless hype is another case of Silicon Valley’s “fake-it-til-you-make-it” mentality. https://lnkd.in/e465gaYv

The fundamental problem with ChatGPT and other large language models (LLMs) is that they do not understand what words mean. They are very much like a young savant who can recite every word in all six volumes of the History of the Decline and Fall of the Roman Empire without comprehending any of the content. Without such comprehension, LLMs are not going to morph into artificial general intelligence (AGI) — the ability to perform any intellectual task that human beings can do. Many AI enthusiasts — including Tesla’s TSLA Elon Musk, Jensen Huang of Nvidia NVDA and pioneering AI researcher Ben Goertzel — nonetheless claim that AGI is just a few years away. This cheerleading certainly helps raise funds (just ask ChatGPT’s Sam Altman) and sell computer chips (just ask Nvidia) but it is increasingly recognized that the breathless hype is another case of Silicon Valley’s “fake-it-til-you-make-it” mentality. Stanford University’s seventh annual report on the state of AI is a striking example of deflating expectations. This 2024 report is 502 pages of text, tables, and charts that summarize the latest AI developments. It is full of the usual metrics of the popularity of AI but it is also unusually restrained about the future of AI. A few examples: #artificialintelligence #llms #agi #makeit #fakeit #siliconvalley https://lnkd.in/gZu9RwnK

After a week of presentations about the future of AI in education at #learningImpact24 and how it will revolutionize everything we do here’s and interesting counter opinion. https://lnkd.in/gMr8PXDs Maybe it’s just an indicator that we have entered the trough of disillusionment or maybe we are approaching diminishing returns. Nvidia CEO Jensen Huang claims there’s no need to learn to write code and and in fact claims that he plans to automate all of Nvidia https://lnkd.in/g84QbNjr Personally, I’ve had a lot of mind blowing moments using LLMs and now rarely does a day go by that I don’t use one. What does everyone else think? Is AI overhyped or are we on the verge of transformation never before witnessed in human history?

Who's going to win the AI lottery and join the billionaire's club? My answer below. What if I'm right? We're seeing a lot of hype around AI chip makers like NVIDIA and model developers like OpenAI. Don't get me wrong, they're crucial. But here's the thing: Remember Web 1.0? Everyone was obsessed with infrastructure. Faster chips, better browsers, more bandwidth. These elements were essential for the web to function and for more people to come online. The hype made sense. Netscape was the darling of the 90s because everyone agreed that owning the "gateway to the internet" (Internet Browsers) was the place to get rich. But who really won? It wan't Netscape. It was the application layer. Google. Amazon. Facebook. They solved real problems. How to find anything. How to buy anything. How to connect with anyone. That's where the real value was created. I think we're seeing the same pattern with AI. Application layer AI could be the “killer apps” of the AI era, as we build on commoditized infrastructure and models. At Cyft, we're not trying to build the next ChatGPT. We're focused on one thing. The application of Artificial Intelligence to make MSPs more profitable. If I'm right, then the answer to that first question is "everyone that works at and invests in Cyft and other killer applications." Let's see if history repeats itself.

pub.towardsai.net: The article discusses the popular ChatGPT and delves into its functioning. For more details, the reader is encouraged to continue reading on Towards AI.

### AI NEWS - Microsoft's AI-powered search engine, Bing, has seen a surge in usage and valuation following its integration of ChatGPT, with the company's market cap surpassing $2 trillion. - NVIDIA's CEO, Jensen Huang, reveals plans to develop AI chips in collaboration with Middle Eastern partners, with the aim of boosting performance in AI-related tasks. - The New York Times faces a lawsuit from OpenAI, which claims the newspaper engaged in 'prompt engineering' to manipulate AI models like ChatGPT for misleading evidence. OpenAI seeks dismissal of parts of the lawsuit, citing deceptive prompts violating terms of use. - Apple shifts focus to AI research, exploring new avenues for integrating AI technologies into its products and services, as the company aims to stay competitive in the rapidly evolving tech landscape." #ai #artificialintelligencetechnology #artificialintelligence #ia #intelligenceartificielle

Significant progress in AI this month. Nvidia chip delays, BlackForest’s FLUX (the midjourney killer?), Musk vs OpenAI drama, and Google's big moves. 🔥 LFG! 👇 Nvidia's next-gen AI chips hit a MAJOR roadblock! • Blackwell chips delayed until Q1 2025 • Design flaw causes setback • Impacts tech giants: Microsoft, Google, Meta, OpenAI The AI arms race just got more intense! 😱 Black Forest Labs introduced FLUX.1, a suite of open-source AI image generation models, some of which can be operated locally. These image generators are available in three versions: [pro], [dev], and [schnell]. Elon Musk vs OpenAI: Round 2!🍿 • Musk revives lawsuit against OpenAI • Claims Altman prioritizes profits over public good • Long-running feud reignites as OpenAI dominates AI landscape Who's side are you on? Google's making BIG moves in AI LLM’s • Hires Character.AI founders • Mirrors Microsoft's Anthropic talent grab • Launches open sourced Gemma 2 7B which beats GPT 3.5 turbo on the Lmsys scores. The battle for AI supremacy heats up! 🔥 Politicians enter the AI arena! 🇺🇸 • Senate Dems press OpenAI on safety & employment • 5 prominent senators demand answers • Spotlight on AI development practices Is regulation coming for AI? 🤔 The AI world is EXPLODING with innovation and drama! 🌐 • Chip delays shaking up tech giants • Musk vs OpenAI: The saga continues • Google's strategic moves in chatbots That's it for this month’s AI breakdown. I share the latest research every month, so follow me @vc_jacob for more. If you found this valuable, consider a like/RT to spread the word.

𝐌𝐮𝐬𝐭-𝐖𝐚𝐭𝐜𝐡 𝐓𝐄𝐃 𝐓𝐚𝐥𝐤𝐬 𝐨𝐧 𝐀𝐈 🧠 Elon Musk on Twitter, Tesla, and His Brain — Live at TED2022, Musk delves into his companies and personal insights. 🚀 A Future to Look Forward To — Musk shares his vision for a future influenced by AI. 📚 Making Learning Addictive Like Social Media — Luis von Ahn discusses how to gamify education. 🤖 Connected Yet Alone? — Sherry Turkle examines the paradox of technology and connection. ✨ The Amazing Inventions of Intuitive AI — Maurice Conti presents innovations in intuitive AI. 🛠️ Building AI Without Losing Control — Sam Harris explores the existential risks of AI. 🚁 Flying Robots That Work Together — Vijay Kumar demonstrates collaborative flying robots. 💻 When Computers Surpass Human Intelligence — Nick Bostrom discusses a future where AI exceeds human smarts. ⚠️ The Temptation of Fascism and Data Misuse — Yuval Noah Harari warns about the political dangers of data misuse. 🌍 How AI Can Enhance Humanity — Kai-Fu Lee on AI’s potential to improve human life. 🤲 Essential Human Skills for an Unpredictable World — Margaret Heffernan on building human resilience in the age of AI. 🧠 Preparing for Hybrid Thinking — Ray Kurzweil talks about integrating human and machine intelligence. 🔍 Inside the Astonishing Potential of ChatGPT — Greg Brockman discusses ChatGPT’s development and impact. 🧠 The Neuroscience of Attention — Mehdi Ordikhani-Seyedlar explores what happens in the brain when we focus. 💻 The Future of Computing Devices — Imran Chaudhri on the evolution of computers and AI accessibility. 👁️ The Threat of Deepfakes to Truth and Democracy — Danielle Citron addresses the dangers posed by deepfakes. Watch here -> https://buff.ly/4cOH2op #AI #technology #anvenssa

My ChatGPT-4o (omni) comments: - It is free and faster to generate text; I wonder how many AI Startups will fail due to that unfair competition (free Microsoft copilot, Google Gemini, too). I would surely not want to compete. But if you check Producthunt, 80% of new products listed for the past 6 months are "AI." - NVIDIA is happy selling the hardware. Electricity consumption is boosted, and I wonder about CO2 and the environment. - the Italian speech in the demo video with their CTO sounds like a fake accent; only Italians could tell that, but I am one. - described exactly a few "cat on chair" photos, including hints of partial objects and people in the backgrounds. This works. PS: No AI was used to write this post. I am open to working for you on what AI can't do yet; click on my profile for my story.

🚀 What if AI could turn us all into programmers without writing a single line of code? Visionaries from NVIDIA and Stability AI say we're closer than you think! This article explores the exciting possibilities for Large Language Models (like ChatGPT and Gemini) in the next few years.