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THE DAILY INDEX

Technology, AI, software, security, crypto and business

PROGRAMMING, DESIGN & DATA SCIENCE

TLDR

WHY GOOGLE FAILED TO MAKE GPT-3 + WHY MULTIMODAL AGENTS ARE THE PATH TO AGI — WITH DAVID LUAN OF ADEPT

This article contains an interview with David Luan, one of OpenAI's early hires, a past leader of Google's LLM efforts and co-leader of Google Brain, and founder of Adept, one of the leading companies in the AI agents space, where he discusses his time with early OpenAI and how Adept is building agents that can do anything humans can do on a computer. Google had a huge lead with AI in 2017, but it was OpenAI that ended up making GPT 1/2/3. While Google's team created Transformers, the company's internal processes made it difficult for its researchers to get work done. OpenAI was able to beat Google because it took big swings and focused.

HERE’S WHY AI SEARCH ENGINES REALLY CAN’T KILL GOOGLE

Google Search seems to be getting worse as AI tools get better. Google is complex and people use it for many different things. Large language model-based bots may be genuinely more useful than a page of Google results in some cases, but it will be difficult for AI to replace Google as the center of the web for most use cases. This article looks at how search works and explains how Google is still much better than LLM-based systems for the majority of queries.

HOW TO TRADE SOFTWARE FOR SMALL MONEY?

It's easy for system engineers to make something that is valuable and widely used, but quite a lot harder to get paid for it. The competition is often free software maintained by well-funded teams and there is a community norm where it is seen to be mildly immoral to charge money for software. Pricing models for systems software is also tricky. This post looks at various options for pricing models. SaaS software is likely more prevalent as VCs don't think that non-SaaS companies make money.

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