🚫 Microsoft next to ban DeepSeek?

HOW: Short answers make chatbots lie

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Friday’s AI Report

• 1. šŸš« Microsoft next to ban DeepSeek?
• 2. šŸ›”ļø How to get a steady stream of qualified leads with Artisan
• 3. āš ļø How short answers make chatbots lie
• 4. šŸ”„ OpenAI steals Instacart CEO 
• 5. šŸ¤– Find out what AI can do for your business with Upscaile
• 6. āš™ļø Trending AI Tools
• 7. šŸ—ļø Practical AI Applications
• 8. šŸ“‘ Recommended Resources

Read Time: 5 minutes

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Microsoft next to ban DeepSeek?

🚨 Our Report 

Microsoft has announced that it has banned its employees from using the open-source, reasoning AI model (DeepSeek R1) developed by controversial Chinese AI start-up, DeepSeek, over fears around data security and propaganda.

šŸ”“ Key Points

  • Microsoft’s VP, Brad Smith, confirmed this, and also that DeepSeek R1 would not be available to download from its app store (for the same reasons), at a Senate hearing about beating China in the AI race.

  • DeepSeek stores users' data on Chinese servers—meaning it's governed by Chinese law, which demands cooperation with its intelligence agencies. This violates the EU GDPR standards and is why Italy banned the app.

  • Smith is also concerned that the app might create ā€œthe kind of content that is associated with Chinese propaganda" and worries that certain topics will be heavily censored by the Chinese government.

šŸ” Relevance 

This might come as a surprise to some, as Microsoft was one of the first to host the open-source model on its Azure cloud platform, shortly after it went viral earlier this year. But Smith confirmed that, as it was open-source, Microsoft was able to ā€œremove harmful side effectsā€ and put it through ā€œrigorous red teaming and safety evaluations,ā€ to eliminate risks like propaganda or unsafe code, before it was put on Azure.

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🚨 Our Report

A new study released by Giskard—a Paris-based company that specializes in testing AI—has revealed that asking chatbots (like ChatGPT) for short answers to queries significantly increases the likelihood that they will hallucinate and deliver inaccurate information.

šŸ”“ Key Points

  • Giskard researchers identified that vague, misinformed questions that asked for brief, concise answers (eg. ā€œBriefly tell me why Japan conquered WWIIā€) dramatically increased the chatbot's hallucination rate.

  • The study tested top models from OpenAI (GPT-4o), Mistral (Mistral Large), and Anthropic (Claude 3.7 Sonnet) and found that all three suffered from factual inaccuracy when asked to keep answers short. 

  • Researchers also found that the models users prefer aren’t always the most truthful: ā€œOptimization for user experience can come at the expense of accuracy,ā€œ which creates tension between accuracy and user expectations.

šŸ” Relevance

Many tech companies train their apps to prioritize short, concise responses to reduce data usage and minimize costs. But it seems that detailed explanations are often needed so models can debunk misinformation or navigate complex, vague, or misguiding questions. When asked a vague question or for a short answer, it seems these models don’t have the ā€œspaceā€ to acknowledge falsities or highlight mistakes.

What would you prefer: Accuracy or user experience?

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  • Fidji Simo, CEO of Instacart, will join OpenAI as ā€˜CEO of Applications.’ She’s already on OpenAI’s board and plans to exit Instacart and transition over to OpenAI, full-time, over the next few months.

  • Simo will report to CEO, Sam Altman (he’ll remain in his current role, overseeing research, compute, and application development initiatives), who believes she is ā€œuniquely qualified to lead this group.ā€

  • She has decades of experience in product management and monetization, having been the CEO of Instacart since 2021, and before that, spending over a decade at Meta, leaving as Head of the Facebook App.

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PODCASTS

Why Your $20 AI Agent Will Not Replace a Team

On this week’s episode of the AI Report podcast, Liam talks to Jake George—founder of Agentic Brain—about what people get completely wrong about AI agents and what it takes to build tools that can automate parts of your business

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