teri eyenike’s Post

Just finished the book that tells the intriguing story behind modern AI development: "Genius Makers" by Cade Metz. It was a fascinating read. 📖 If you're put off as you think it could be technical or dry, it is actually high on drama, with just enough tech to tell the riveting story. It details the pioneers, the tech giants and their rivalries. This book tells the story of the AI race 🏃♂️ that has put powerful AI tools in the hands of billions. There was so much covered in the book, yet it still predates the public launch of ChatGPT in November '22. So much has happened since then and continues to happen each month. There is definitely potential for a followup book, but with the pace of change (and drama!) where to draw the cutoff date? Perhaps the author could write a series. 🙂

If you feel a bit dwarfed by AI right now, if you’re unsure about whether an LLM that sounds very much like it is ‘thinking’ is actually thinking, and/ or if you’re increasingly relying on the plethora of emerging AI-based tools to do your job, have a look at this article, and try trusting it to do heavy lifting less often. 😉 Some things to reflect on (which is something a machine can’t do…): 1. Machines execute code as designed. They exist in a quasi-deterministic reality, bounded by an existing body of information (‘knowledge’), with no perception of space or time. 🗿 2. Machines do not connect any meaning from one moment to the next, have no way to identify with anything, and only ‘learn’ according to strict parameters outside their control. 🎲 3. Machines are like magic goo, through which obscene quantities of human language pass, leaving traces of meaning to be gleaned and reconstructed, so that they only ever combine the old in different ways, and when they are judged by the observer to have produced symbols that mimic coherent speech, they are directed to continue doing so. 📝 AI isn’t mysterious, and it’s not achieving consciousness. Letting it do your homework too often isn’t smart…it’s just short-sighted and lazy. 🧮<🧠 Write your own code. Add real value.

Did you know, that the new marketplace for prompts is here? PromptBase.com is a platform where users can search over 100,000 quality AI prompts created by top prompt engineers. #Creativity #Inspiration #PromptEngineer #OMG #AI

Dive into a personal journey of AI's transformative power. Discover how ChatGPT is reshaping productivity and fueling creativity in our daily lives.

🚀 2 billion monthly users. 80% market share. 2 years to achieve what took Google Chrome 16 years. The numbers behind ChatGPT's dominance are staggering, but they're not the whole story. My latest blog dives into the fascinating shifts happening beneath the surface: --Why conversational AI is winning the race --The surprising growth of specialized AI tools --How video & multimedia AI might change everything The next chapter of the AI revolution might not look anything like the current one. Read more in today's blog: https://lnkd.in/ebxfsNpy

The Golden Age of Building in AI Imagine if we kept adding more engines to a car to make it go faster, and at some point, adding more engines didn’t help much. That’s what’s happening in the world of AI right now, according to Ilya Sutskever, one of the biggest brains behind modern AI like ChatGPT. Here’s what he said: 💬 “The 2010s were the age of scaling—just using bigger and bigger data and computers. But now we’re back in the age of wonder and discovery, looking for the next big idea.” This means just “making things bigger” in AI isn’t working as well as it used to. Even OpenAI, the company behind ChatGPT, has reportedly been a bit disappointed with the results of their latest AI model. But here’s the exciting part: This might be good news! Instead of rushing to keep up with new AI tools every month, we can focus on making the current technology really useful. It’s like realizing you don’t need a faster car if you can use the one you already have to build amazing things—better maps, stronger bridges, and even cooler gadgets. Even if AI stops getting smarter tomorrow, we’d still have at least 10 years of opportunities to make the world better with the tools we have today. That’s why I believe we’ve entered the golden age of building—a time where creativity, problem-solving, and teamwork will shine brighter than ever.

People talk about AI agents a lot but I think people outside of the AI bubble don't get it. Here is a video that can help you understand what an AI agent flow looks like. Here I am: - Loading the full content of an Arxiv paper - Extracting key information from the paper - Generating a post about the paper - Generating feedback on the post - Rewriting the post based on the feedback - Publishing the final post All from various simple 'agents' I have built in ChatGPT. This flow is "manual" but I can just as easily set this up to run autonomously each day (like most of my fellow ✨ Thought Leaders ✨ on LinkedIn). Now think of the workflows you do every day and consider how you could break it down into a series of steps like this - anything is possible!

What if GenAI is a balloon just waiting for the first one to poke it? Don't get me wrong; AI is definitely a big thing, and there are already a lot of industries, where AI-like solutions are deployed, contributing and helping generate value. But there is also a HUGE element of hype, lack of understanding of what the present opportunities within AI are, and what the limitations for deploying AI in a meaningful way to generate value are. Expectations of AI are at an all time high. And historically that's when people asking thoughtful, serious and maybe even logical questions can end up being the ones holding the needles and getting a little too close to the balloon. I find this thought experiment somewhat fascinating, and I think we need to prepare ourselves for all scenarios. Including the 'this is a bubble' one. It just seems prudent. What do you think? #ai #hype #bubble https://lnkd.in/dQjjwWSN

In a recent keynote, I explored the impact of generative AI tools like ChatGPT, Google Gemini, and Microsoft Copilot on the financial sector. These technologies are not just limited to basic tasks like summarizing texts or drafting emails; they serve as powerful analytical and ideation tools. By distilling complex financial reports into concise, understandable insights, they empower financial advisors and mutual fund managers to enhance their productivity. If you're interested in learning more about this intersection of finance and generative AI, check out the full 40-minute talk available in the comments section. #generativeai #aiforfinance #financialadvisors #chatgptprompts #keynotespeaker

AI is now everyone's new best friend. With ChatGPT being used by over 100 million people, it's like the tech world's new favorite toy. But let's be honest, just chatting with AI doesn't turn you into an expert in enterprise deployments—it's a whole different level of wizardry. At Findability Sciences, we let our expertise and case studies in Discriminative (Traditional AI) and Business Process Co-Pilot™ (powered by Generative AI) do the talking. Curious? Schedule a call with one of our 150+ specialized Data & AI wizards at www.findability.ai. We've got the magic to back up our talk.