Sun.Jul 06, 2025

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Meta’s New Engagement Tactic: Chatbots Initiating Conversations

NextBigWhat

Meta is testing customizable chatbots that proactively message users without being prompted, providing a new avenue for engagement. These chatbots can follow up on previous conversations, potentially increasing user interaction within Meta's platforms. The post Meta’s New Engagement Tactic: Chatbots Initiating Conversations appeared first on nextbigwhat.

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Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo

Lenny Rachitsky

Listen now: YouTube // Apple // Spotify Brought to you by: Sauce —Turn customer pain into product revenue Dscout —The UX platform to capture insights at every stage: from ideation to production Contentsquare —Create better digital experiences Maor Shlomo is the founder of Base44, an AI-powered app builder that he bootstrapped to an over $80 million acquisition by Wix in just six months.

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How is Context Engineering different from Prompt Engineering?

NextBigWhat

Prompt engineering involves creating specific queries for language models, while context engineering entails structuring comprehensive information for optimal model performance. Context engineering is crucial for complex AI applications, addressing issues like memory and relevance, leading to enhanced accuracy and efficiency. It is essential for developing effective AI systems today.

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EU Antitrust Complaint Filed Against Google Over AI Overviews

NextBigWhat

The Independent Publishers Alliance has lodged an antitrust complaint with the European Commission against Google's AI Overviews, alleging the tech giant is misleading users and harming competition. The complaint focuses on Google's use of AI-generated content snippets that allegedly favor its own services over publishers' content. This move reflects ongoing scrutiny of tech companies over potential antitrust violations in the EU.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!