🤖 Meta replaces risk reviewers with AI

Monday’s AI Report

• 1. 🤖 Meta replaces risk reviewers with AI
• 2. 🔒 Protect your online info with Incogni
• 3. 🌍 How General Motors cut labour costs by 50% with AI
• 4. 🪴 Grow on LinkedIn with Taplio
• 5. ⚙️ Trending AI tools
• 6. 🏭 Musk’s ‘dirty data’ center exposed!
• 7. 🔥 Perplexity to power next Samsung? 
• 8. 📑 Recommended resources

Read Time: 5 minutes

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Meta replaces risk reviewers with AI

🚨 Our Report 

Meta plans to replace human risk assessors with an AI system that will automate 90% of its product risk assessments for updates to its apps, like Instagram, Facebook, and WhatsApp.

🔓 Key Points

• In 2012, Meta signed an agreement with the Federal Trade Commission to conduct privacy and integrity reviews of all its products and updates, which were completed by a team of human risk assessors.

• With the AI system, product teams will submit a questionnaire about the product/update, and will instantly receive a list of AI-identified risks and requirements that must be met before launch.

• Meta, which has invested $8B into its “privacy program,” has established that while AI will handle low-risk decisions to accelerate product updates, human oversight will still be needed for “novel or complex issues.” 

🔐 Relevance 

Although Meta claimed that the AI system would just be used to assess “low-risk” releases, the AI system is reportedly being used to make decisions on AI safety, youth risk, and integrity (including misinformation and violent content moderation), which are high-risk areas. Plus, while AI will undoubtedly enable Meta to release product updates and features quicker, a former Meta exec has warned that it could also create “higher risks” as “negative externalities of product changes are less likely to be prevented before they start causing problems in the world.”

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How General Motors cut labour costs by 50% with AI

• General Motors (GM) faced rising production and design costs when prototyping and manufacturing components for fuel-efficient vehicles.

• They partnered with Autodesk to use AI-powered design software to generate multiple design options for car parts, like seat brackets

• The software produced designs that were optimized for weight, strength, and material usage, and reduced human labor and physical prototyping.

• As a result, they lowered part weight by 40%, improved structural strength by 20%, and cut prototyping costs by 50%

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3. VizBull turns photos into cartoons with AI

• Civil rights group—NAACP—has asked Memphis officials to suspend operations at Elon Musk’s supercomputer facility, Colossus (run by his AI start-up, xAI), due to their “lackadaisical approach” to the “dirty data center.”

• They’ve called for xAI to halt operations completely as the facility is violating clean air laws, expressing concerns around the 35 gas turbines xAI uses to power the data center.

• These turbines are reportedly emitting hazardous air pollutants, including nitrogen oxides, which can cause health issues, like respiratory problems, and environmental problems like smog and acid rain.

• Samsung is in talks with AI search platform, Perplexity, to pre-load Perplexity’s app onto its upcoming devices, and integrate its AI search features into its web browser and its virtual assistant, Bixby.

• Samsung was using Google’s Gemini to support its on-device AI capabilities, but it reportedly plans to make Perplexity the default AI assistant on the upcoming Galaxy S26 device, which is due to launch early next year.

• In addition to the planned AI integration, Samsung is also expected to be one of the biggest contributors in Perpexity’s upcoming $500M funding round, which has valued the start-up at $14B.

The Future of AI Benchmarking and Evaluation

In this podcast, co-founders of the popular AI benchmarking platform, LMArena, discuss the future of AI evaluation and why fresh, subjective data is crucial for reliability.

We read your emails, comments, and poll replies daily.

Until next time, Martin, Liam, and Amanda.

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