Sriram Kumar Nagarajan’s Post

With AI showing no signs of slowing down, how can startups make best use of this tech for their growing teams and business? On July 12, tech and data leaders will discuss the ways AI and machine learning are helping businesses to scale. 📍 Online / 🗓️ July 3 \ ⏰ 12pm BST This event’s a no brainer for CTOs and CDOs alike 👉 https://lnkd.in/eEmz4rg6 #ai #machinelearning #datamanagement #siftedtalks #startupevent

📹 You need to watch this video. ✨ New doja picks. Where we share with you the industry knowledge you should be keeping up with ✨ This video highlights the need for startups to have a clear mission to maintain a competitive edge within AI 🚀

The AI revolution is similar to the Internet revolution, but accelerated and amplified. Why? For two decades, we have been laying the foundation for AI adoption. Becoming a digital-first culture is one major piece. Supercomputers in our pocket is another. We are digitally fluent today in a way we weren't in 1996. And now that gen AI has reached a threshold of usefulness, it is catching fire like nothing I've ever seen. 🤖 I write about building startups in the age of AI. Subscribe to the Experimentation Machine newsletter: https://buff.ly/3viAAGH

outstanding summary of the predictions and realities of AI in 2024 by Sabrina Wu and Vivek Ramaswami from Madrona. looking forward to their predictions for 2025!

🚀 Meet Pied Piper GPT - and See How Structured Context Makes AI Actually Understand Your Business In true startup spirit, we had some fun creating a CustomGPT powered by THEO Growth's structured business context - and what better company to showcase than Silicon Valley's most chaotic innovator, Pied Piper! 😄 Why Pied Piper? If AI can understand a company that "connects everything to everything", imagine what it could do with your startup's context! Here's what happens when you feed Pied Piper's business context through THEO Growth: 👉 It gets their unique vision (even the wild parts) 👉 Understands their strategic pivots (planned or... not so planned) Try asking it to: 👉 Create a roadmap where their pivot looks "intentional and genius" 👉 Explain their business model to both grandma and VCs But here's the real deal: This isn't just a fun demo. It's a live example of how THEO Growth structures your business context for AI. In just minutes, you could have your own company-specific CustomGPT that truly gets your business. (P.S. It took longer to craft this post than to create the custom GPT 😄 ) Try Pied Piper GPT now and imagine what your company's version could do: https://lnkd.in/g-6KhuBf 🎁 Want to build your own? Your first context file is on us! https://theogrowth.com #startuplife #AIinnovation #CustomGPT #THEOGROWTH

Grok-2 Takes xAI to New Heights, Outperforming GPT-4 and Claude! Grok-2, now available in beta on the X platform, has achieved state-of-the-art performance, outperforming major competitors like Anthropic’s Claude and OpenAI’s GPT-4 in key areas. This marks a pivotal moment for the startup, which initially launched Grok-1 as a niche, no-filter chatbot. This development positions xAI as a serious contender in the AI industry, offering a model that not only excels in technical benchmarks but also has practical applications ready for enterprise use. With the upcoming release of an enterprise API, xAI is set to attract significant interest from businesses seeking cutting-edge AI solutions. The startup’s access to vast real-time data from X and its ability to draw top-tier talent under Elon Musk’s leadership further solidify its potential for rapid growth and long-term success in the competitive AI market.

High-quality musings on A.I. by tech thought leaders. Food for thought: Jevons paradox - will the efficiency gain from AI increase demand in Y? Only really like the coal and CGI example, but better AI on company creation, demand for high-quality software already exists. The potential negative externalities are always concerning, but let's see if they have (ontological) "properties" in our reality. Once AI efficiency is attainable or satisfied, what are the negative externalities to better software? I think higher user standards for better software and companies is the least of our concerns (enterprise could certainly use higher standards based on metrics). Increased resource use as a result of more efficient, value-less solutions to traditional challenges is concerning and could certainly be very bad for everyone. Like meaningful shared problems in history, solutions will become more abstracted.

Regarding the current AI vendor landscape: We need more who can clearly articulate the problem their product/solution helps to solve and how actual value can be achieved. We need less who focus their pitch/discussions around theoretical concepts, research papers, and rants about the path to AGI. While I understand the value in both (research drives innovation, innovation drives new value streams), businesses who want to actually implement AI solutions want to buy impact/value, not theory. If you cannot clearly articulate your product/solution in this context, you will likely be bucketed into "just another AI startup".

I've been exploring how various startups are applying generative AI, and I'm genuinely amazed—not just by the innovative use cases but by the tangible value their customers are experiencing. These range from software development and maintaining outdated legacy code (often written in languages no one wants to touch) to being first line of autonomous support for applications and infrastructure, and even being your SecOps. I've started incorporating generative AI into my daily work, and the efficiency gains are beyond description. Tasks like creating strategy documents, pitch decks, and requirement docs that used to take weeks now only take a matter of hours. For those skeptical of AI, I urge you to start using it—the value becomes evident almost immediately. I can’t even begin to imagine how transformative the world will be five years from now. #AI #GenAI #EconomicValue

The original blog post is over 2 years old - almost vintage, considering we're talking about AI. Still holds though! How to use: 1. Click through the LinkedIn slides 2. Generate GPT(or similar) 130-word (no more, no less) summary 3. Read the summary 4. Check the visuals 5. Apply!