Substack’s Post

New World of DaaS drop! 🎙️ Attention economy, freedom of the press, and the future of media with Chris Best, Substack CEO We dive into content monetization, AI creative tools, and why subscriptions are underrated.

Feeling lost in the ever-changing sea of algorithms and AI's impact on search? In the most recent episode of SaaS Half Full, Gregory Brooks, partner and CMO at SearchTides, says to buckle up as we head into, ironically, what he calls the "human era of search." Greg sat down with BLASTmedia president and SaaS Half Full Host Lindsey (Peck) Groepper to break down: ❓What Google really cares about when deciding what content wins 🤖How to leverage AI as your SEO assistant, not an overlord 🔥Why niches are hotter than ever and how to build authority in yours Check out his episode in the comments! 🔗

AI Content and Backlinks: Dofollow vs. Nofollow

Google CEO Sundar Pichai on AI-powered search and the future of the web 👀 “… through AI Overviews, when you give people context, yes, there are times all people want is a quick answer and they bounce back. But overall, when we look at user journeys, when you give the context, it also exposes people to jumping-off points, and so they engage more. Actually, this is what drives growth over time” More in comments 👇

As AI-generated content floods the internet, it's not just about bias and misinformation anymore. Now it's impacting the reliability of traditional search engines like Google, which can fundamentally change how we access and trust information online. Worthwhile read from WIRED on this growing challenge, link in comments… What are your thoughts on AI's impact on search reliability? How can we adapt to ensure access to accurate information in this new landscape?

It's finally launched! 🚀 My brother and I added AI Research agents to google sheets You can now autofill spreadsheets with AI agents that search the web for you and return answers with cited sources :) The addon also has the traditional offline AI Functions to generate content, clean up text, formatting, messy data, and more! Built with LangChain and Anthropic Link to get the addon below ⬇

Looking forward to our discussion led by Nick Stokman and Michael Rota. If you want to take a serious look at generative AI and what it could mean for business, education, the Church, and society writ large; you don't want to miss this.

Llama 3, the model from Meta, performs quite well at 70B parameters. What is impressive for me is that for quite a long time one heard "scale is all you need!". Throw parameters or tokens (or any other dimension) at the model, the model will get better much more than trying to tweak it. But there were many models so far that passed 100B parameters and couldn't even be compared to llama3 (and other models). GPT3 itself was 175B parameters. Google did some models (Palm for example) with over 500B parameters. There were some models of over 1 Trillion parameters (from Google and from a Chinese university). Instead it seems that teams are finding optimizations to keep models very good without making them incredibly large. Source: https://lnkd.in/dKNvRg4G (great benchmark IMO, although it could be prone to vote manipulation)

Part 1: Building a RAG System with Google Drive Integration! 🚀 In this video, I showcase the first part of my RAG (Retrieval-Augmented Generation) system that efficiently interacts with Google Drive files, specifically Google Docs. 🔹 Discover: 1) How to communicate with Google Drive using the LangChain framework 2) Essential parameters for loading data from Google Docs 3) An introduction to the Groq inference engine Stay tuned for Part 2, where we'll dive into summarization and Q&A for specific Google Docs! 😊 Git Link - https://lnkd.in/gQmZ6Huy #AI #RAG #LangChain #GoogleDrive #Groq #LLM