Sam Baig’s Post

How to implement AI as a startup (a beginner’s guide): Ps. I wrote a full article going in-depth on this (link in comments)

Many startups are building their products around Generative AI and Large Language Models (LLMs). The next wave of AI startups will likely center on two types of LAMs: 1) Agents that facilitate web-based tasks, and 2) local agents that interact directly with users' computers, providing personalized assistance. With this shift, many of the current B2B AI startups may become pointless or lose relevance.

CEO Exodus: LaMDA Architect Noam Shazeer Returns to Google, Leaving Character.AI Behind! #shorts #viralreels Breaking News! Character.AI CEO Noam Shazeer makes a surprise return to Google after founding the a16z-backed startup! What does this mean for the future of conversational AI? Shazeer previously led the team that built LaMDA, a language model used for conversational AI tools. Find out more about this significant development in the world of tech!

The #1 reason most AI startups will FAIL! Many founders are focused on small, niche applications. But as Sam Altman points out, building with the future in mind is how you stay ahead. Betting on AI’s evolution could be the difference between winning and getting left behind. Follow @chatgptricks for more AI insights! #ai #chatgpt #openai #artificialintelligence #aitools #gpt4o #samaltman

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.

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

The AI hype cycle has dominated the startup ecosystem. The hype was big. Huge. Even though it feels like we’ll eventually hit the trough of disillusionment, I keep hearing about more useful AI applications.  We're at this crossroads, with two trends converging: 1. The hype energy running out (it's already starting) 2. The actual utility of AI increasing Which line intersects first? Does the hype live up to itself before the energy fizzles out? We might need a GPT-5 or some other big breakthrough to push us through.

👉 https://lnkd.in/gVKkET2R Share with your startup wala friends & those who have lot of ideas for implementing. Transform your start-up ideas into action with  This 2 hrs of AI workshop 🤩 Ideation to implementation🎉

An AI startup has created a very compelling "AI developer" that's got lots of people excited – they call it "Devin". It's super impressive in demos. Often, however, these things end up having challenges in the real world, so we'll see - I'm on the waitlist. But here's the thing - it uses vast quantities of AI queries to work. Estimates have put its cost to operate in the region of £200/hour. That's not a bad rate for a human. No doubt things will get optimised, but it does show how the economics of AI can be sensitive.