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Wednesday Edition - Oct 2
AI News, Tools, Prompts & Use Cases
Jonathan Parsons (JP)
October 02, 2024
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TOP STORY
Y COMBINATOR SLAMMED FOR SUPPORTING CLONED AI PROJECT
Y Combinator is facing criticism after backing PearAI, an AI startup that admitted to cloning another project, Continue. PearAI offers an AI coding editor, which founder Duke Pan initially launched with a proprietary licence created by ChatGPT, despite the project being built on open-source code from Continue and VSCode. After a viral backlash, PearAI switched to an open-source Apache licence and issued an apology. Critics have questioned Y Combinator's decision to back a cloned project, raising concerns about its vetting process and ethics. The controversy highlights growing tensions around AI innovation and originality.
Initially, PearAI misrepresented itself by applying a “Pear Enterprise License,” which led to widespread online backlash and a community note on X, accusing the startup of copying Continue’s code, and presenting it as its own. Pan later clarified that PearAI is a fork of Continue and VSCode, and apologised for not being transparent. The situation has drawn criticism toward YC’s selection process, with some accusing it of declining standards by backing projects that seem less original.
Y Combinator CEO Garry Tan defended PearAI, highlighting the open-source nature of the project. Despite the apology and clarifications, the incident has fueled discussions about ethical practices in AI development and the role of open-source software. Critics argue that YC’s decision to fund multiple similar AI code editors—including PearAI, Void, and Melty—raises concerns about competition, originality, and whether the venture firm is prioritising quantity over quality in its search for the next big AI breakthrough.
The controversy also highlights broader concerns about the commercialization of open-source projects. Some view PearAI’s actions as a violation of open-source principles, emphasising community building and collaboration, while others, including Tan, argue that open-source licensing allows for innovation and competition. As AI continues to grow rapidly, debates over intellectual property, ethics, and the future of open-source development are likely to intensify.
NEWS
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10 PROMPTS FOR EVENT MARKETING
𝗘𝘃𝗲𝗻𝘁 𝗔𝘁𝘁𝗲𝗻𝗱𝗮𝗻𝗰𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Analyse attendance patterns for <event name> over the past <time period>. Identify factors influencing attendance and suggest strategies to increase participation.
𝗧𝗶𝗰𝗸𝗲𝘁 𝗦𝗮𝗹𝗲𝘀 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Evaluate the ticket sales funnel for <event> and recommend data-driven tactics to improve conversion rates at each stage of the purchase process.
𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Develop an audience segmentation model for <event series> based on demographic and behavioural data. Identify key segments and their preferences to tailor marketing efforts.
𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗥𝗢𝗜 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Calculate and analyse the ROI for sponsors of <event name>. Provide insights on sponsorship performance and recommendations for future partnership opportunities.
𝗘𝘃𝗲𝗻𝘁 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗠𝗲𝘁𝗿𝗶𝗰𝘀: Assess attendee engagement levels for different components of <event> (e.g., sessions, networking, exhibitions). Identify high-value activities and strategies to increase overall engagement.
𝗠𝘂𝗹𝘁𝗶-𝗖𝗵𝗮𝗻𝗻𝗲𝗹 𝗣𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Evaluate the effectiveness of different marketing channels (social media, email, partnerships, etc.) in promoting <event>. Provide insights on channel performance and allocation of marketing resources.
𝗥𝗲𝗽𝗲𝗮𝘁 𝗔𝘁𝘁𝗲𝗻𝗱𝗲𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Analyze repeat attendance rates for <event series> over the past <time period>. Identify factors contributing to attendee loyalty and recommend retention strategies.
𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗣𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Evaluate attendee preferences for different types of content and formats at <event>. Identify popular topics, speakers, and session styles to inform future event planning.
𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Analyse post-event survey data and social media sentiment for <event name> using text analytics. Identify common themes, areas for improvement, and overall attendee satisfaction.
𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹: Develop a predictive model to forecast revenue for upcoming <event> based on historical data, early registration numbers, and relevant external factors.
CAMPAIGN OF THE WEEK
IKEA PUKE - A BRUTALLY HONEST CAMPAIGN
USE CASE PROMPT
VOICE COMMERCE
Prompt:
Design a detailed marketing plan to capitalise on the growing trend of voice commerce for our <product/service>.
Develop strategies for optimising our product listings and content for voice search and purchase.
Create a plan for developing voice-activated shopping experiences or skills for popular voice assistants.
Outline approaches for building trust and overcoming barriers specific to voice commerce.
Propose methods for tracking and attributing voice-driven sales.
Include ideas for integrating voice commerce into our broader omnichannel marketing and sales strategy.
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