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- YouTube Makes AI Music Deals with Major Labels
YouTube Makes AI Music Deals with Major Labels
Plus: OpenAI's New AI Code Error Spotter
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In Today’s issue:
🚀 Google Unveils 'Enterprise-Ready' AI with More Facts Less Fiction
🎵 YouTube Strikes AI Music Deals with Major Record Labels
⚠️ Microsoft Alerts on "Skeleton Key" New AI Jailbreak Threat
🛠️ OpenAI Introduces CriticGPT Your AI Code Error Spotter
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🔥 What’s Hot in AI News:
Google touts ‘enterprise-ready’ AI with more facts and less make-believe
Google Cloud’s Vertex AI platform is enhancing accuracy by adding datasets from providers like Moody’s and Thomson Reuters, available in Q3 2024. It also introduces a "high-fidelity mode" for using corporate datasets and expands Vector Search to support hybrid searches. These updates aim to reduce inaccurate information and improve the reliability of Google's AI services.
YouTube is trying to make AI music deals with major record labels
YouTube is negotiating with major record labels like Universal Music Group, Sony Music Entertainment, and Warner Records to license songs for training its AI music tools. The company aims to launch new AI features later this year, offering lump-sum payments for the licenses. This approach contrasts with other AI music companies facing lawsuits for copyright infringement. YouTube's strategy seeks to ensure legal and "permission first" use of music to avoid similar legal issues.
Microsoft warns of “Skeleton Key” the Latest Jailbreak Threat to AI Models
Microsoft has discovered a new AI jailbreak technique called Skeleton Key, which allows attackers to bypass safety measures in generative AI models. This method tricks models into producing harmful content by overriding their guardrails. Microsoft has mitigated this issue in Azure AI models using Prompt Shields and shared findings with other AI providers. They recommend input filtering, strong system messaging, output filtering, and abuse monitoring as defenses against such attacks.
OpenAI launches CriticGPT to spot errors and bugs in AI-generated code
Microsoft has developed CriticGPT, a model based on GPT-4, to identify errors in ChatGPT's outputs. This tool aids human trainers by significantly improving their ability to spot mistakes in ChatGPT's code, outperforming unassisted trainers in 60% of cases. CriticGPT contributes to the reinforcement learning process by providing more thorough critiques, enhancing the overall accuracy of evaluations in complex AI systems. Future efforts will focus on integrating CriticGPT into the RLHF labeling pipeline to support the ongoing refinement and alignment of advanced AI models like GPT-4.
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That's all for now! We hope you found the tech highlights interesting.