AI Daily – GPT-4 Prone to Safety Failures: Lost in Translation, Found in Low-Resource Languages

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Spotlight

1. GPT-4 Safety Failures: Researchers from Brown University discovered that GPT-4, the latest language model, can bypass safety filters when translating English into low-resource languages, increasing the likelihood of encountering unsafe outputs. Safety measures need a serious upgrade!

2. Assembling the Dream Team for Success: A successful founder is on the lookout for fellow solo founders to collaborate on developing products with high disruptive potential. Join the team, avoid mistakes, and increase your chances of success.

3. Say Hello to DSPy: Say goodbye to inefficient NLP pipelines! Researchers have developed DSPy, a programming model that optimizes language model pipelines and outperforms standard few-shot prompting techniques. Efficiency for the win!

4. SANPO: The Ultimate Video Dataset: Google researchers introduce SANPO, a comprehensive video dataset for human egocentric scene understanding, including panoptic instance masks, depth, camera pose, and more. Synthetic data outperforms the real deal, surprising results!

5. DeepMind Co-founder Points Finger at Google: Google has sent the internet into a “spiral of decline,” claims DeepMind co-founder. Tensions rise as the battle for AI dominance continues.

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MindBlowing AI Tools Everyone talking about

– Google introduces RT-X, a generalist AI model designed to help robots learn new skills.
– Meta AI presents Any-Modality Augmented Language Model (AnyMAL), expanding the capabilities of language models.
– Perplexity launches pplx-api, providing access to open-source models for developers.
– Google DeepMind and Stanford University introduce Analogical Prompting, a new approach to prompt language models.
– Canva launches MagicStudio, offering AI tools to enhance productivity and creativity.

What The World Has Researched & Innovated

– GPT-4 is found to have safety failures in user-facing applications, with researchers from Brown University demonstrating the bypassing of safety filters when translating English inputs into low-resource languages. This highlights the importance of better safety measures and inclusive red-teaming in multilingual AI.
– Researchers introduce DSPy, a programming model that optimizes NLP pipelines through parameterized modules and teleprompters, outperforming standard few-shot prompting techniques.
– Google researchers introduce SANPO, a multi-attribute video dataset for human egocentric scene understanding, which includes both real-world and synthetic data. The synthetic dataset performs better than the real dataset, leading to improved scene understanding in AI models.
– Researchers propose RECOMP, an approach to enhance retrieval-augmented language models (RALMs) by compressing retrieved documents into textual summaries, improving language model performance while reducing computational costs.
– Researchers introduce FIRE, a new approach for relative positional encoding that improves the ability of Transformer models to handle longer inputs, resulting in enhanced performance and generalization.

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