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Why Shoppers Prefer AI: The Inside Scoop

🧠 Inside Claude Sonnet: Decoding AI's Mind

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Some fascinating facts…

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AI SEARCH

🔍 Consumer Insights on AI-Powered E-commerce Search
Insights from Botify 

A new survey by Dynata uncovers how consumers feel about AI-driven search results in the e-commerce sector, focusing on their awareness, trust, and preferences.

The Decode:

  • Awareness of AI-Powered Search: The survey reveals that 56% of consumers have used search engines with AI-generated results, while 44% were unaware of these features or had not used them. This shows that a moderate portion of the general public is familiar with AI-enhanced search capabilities.

  • Trust in AI-Generated Results: Among the 1,000 respondents, 37% reported finding AI-driven search results more relevant and trustworthy. Despite this, 63% either lacked awareness of these results or were not impressed by them. Curiosity about AI technology has driven some usage, but overall trust in the accuracy of AI responses remains relatively low.

  • E-commerce Potential: The survey highlights that 41% of respondents prefer using AI-powered search for online shopping, which was the most favored application. AI can significantly improve the shopping experience by enhancing product discovery.

  • Consumer Intent and Search Preferences: When comparing traditional search results with AI-generated ones for a query like "Best backpack for a week-long hiking trip," 56% of respondents preferred the AI-generated results. This preference suggests that AI is particularly effective for searches with clear purchase intentions.

The findings suggest that AI-generated search results have the potential to greatly benefit the e-commerce sector by improving product discovery and enhancing the shopping experience. Consumers tend to prefer AI results when their search intent aligns with making a purchase, highlighting the need for e-commerce businesses to integrate AI technologies into their strategies to better meet consumer expectations.

TOGETHER WITH MODASH

With over 250 million influencers and creators worldwide, how do you begin to find the right partners for your brand?   

Ryan Prior from Modash interviewed 4 senior influencer marketers to learn how they approach influencer selection. 

All of them agreed: think beyond your immediate product category.

This is the wrong line of thinking:

I have a beauty product. So, I should work with beauty influencers.

  This is the right line of thinking:

My ideal buyers are women aged 35-45 in New York. Who reaches those people online?

With this audience-based approach, you might still land on the "obvious" choices (like beauty influencers), but it will also give you a much bigger pool of potential partners to test. 

LLMs

🧠 Unveiling the Inner Workings of AI: Mapping the Mind of Claude Sonnet
Insights form Anthropic

Today marks a significant advancement in understanding AI models. Anthropic has identified how millions of concepts are represented inside Claude Sonnet, one of their deployed large language models. This breakthrough offers the first detailed look inside a modern, production-grade AI model and could help make AI models safer in the future.

The Decode:

  • Understanding AI's Black Box: Traditionally, AI models have been opaque, raising safety and reliability concerns. Their internal processes, represented by numerous neuron activations, have been difficult to interpret.

  • Dictionary Learning Technique: Anthropics used "dictionary learning" to decode these internal states. This method isolates recurring patterns of neuron activations, called features, simplifying the model’s internal representations. These features combine like words in sentences to form the model's understanding.

  • Significant Findings: Applying this technique to Claude Sonnet, Anthropic extracted millions of features from the model’s middle layer, mapping its internal states. Features identified include entities like San Francisco and Rosalind Franklin, programming syntax, and abstract concepts like inner conflict and gender bias.

  • Manipulating Features: The research showed that manipulating these features can alter the model’s responses. For instance, amplifying the "Golden Gate Bridge" feature made the model reference the bridge in various contexts, validating that features causally influence the model's behavior.

  • Safety Implications: The findings include features associated with misuse potentials, biases, and problematic behaviors. Understanding and controlling these features could lead to safer AI models by monitoring dangerous behaviors, steering models toward desirable outcomes, or removing harmful content.

This research represents a significant milestone in AI interpretability, offering a deeper understanding of AI models. By uncovering and manipulating the internal features of AI models, Anthropic’s work paves the way for safer, more reliable AI systems. These insights could enhance current safety techniques and provide new methods for monitoring and controlling AI behaviors, ultimately contributing to the development of trustworthy AI technologies.

AI IN BUSINESSES

🌐 Growing AI Implementation in Businesses
Insights from Stanford University

The use of AI in businesses is increasing, with 55% of companies incorporating AI in 2023, compared to 50% in 2022 and 20% in 2017. Companies are employing AI to automate contact centers, customize content, and gain new customers.

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HOT NEWS

🚀 Elon Musk Says AI Will Replace All Jobs

Elon Musk predicts AI will make most jobs unnecessary, making work optional and hobby-like. Speaking at VivaTech 2024 in Paris, he envisioned a future where AI and robots supply all goods and services. Musk stressed the need for "universal high income" and raised concerns about finding meaning in a jobless world stating, “Probably none of us will have a job.”

🎬 Alphabet and Meta Offer Millions to Hollywood for AI Partnership

Alphabet and Meta have offered tens of millions of dollars to major Hollywood studios to license content for their AI video generation software aiming to create realistic scenes from text prompts. Hollywood studios are cautious, seeking to protect their content while exploring AI's cost-saving potential. OpenAI, supported by Microsoft, is also pursuing similar partnerships. 

🚀 X Lands $6B for AI Projects

xAI secures nearly $6 billion in new funding for its AI projects, including the Grok AI chatbot. The funds come from investors like Lightspeed Venture Partners, Andreessen Horowitz, Sequoia Capital, and Tribe Capital. This raises xAI's valuation to about $18 billion. 

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