Ten from the weekend 1/15: A few interesting reads that I came across:

Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking

1. See the pitch memo that raised €105m for four-week-old startup Mistral: https://sifted.eu/articles/pitch-deck-mistral

2. Open AI vs NYT https://stratechery.com/2024/the-new-york-times-ai-opportunity/

3. Walmart unveils new generative AI-powered capabilities: https://blogs.microsoft.com/blog/2024/01/09/walmart-unveils-new-generative-ai-powered-capabilities-for-shoppers-and-associates/

4. Getty and Nvidia bring generative AI to stock photos: https://www.theverge.com/2024/1/8/24027259/getty-images-nvidia-generative-ai-stock-photos

5. Generative AI to Become a $1.3 Trillion Market by 2032 -Bloomberg!? https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/

6. According to Gartner’s prediction, by 2030, machine learning (ML) models are anticipated to use synthetic data exclusively, eliminating the need for real data: https://www.turingpost.com/p/synthetic

7. WhatsApp is Finally Starting to Dominate in the United States. Here’s Why: https://www.bigtechnology.com/p/whatsapp-is-finally-starting-to-dominate

8. MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation: https://arxiv.org/abs/2401.04468

9. Deep Forgetting & Unlearning for Safely-Scoped LLMs: https://www.alignmentforum.org/posts/mFAvspg4sXkrfZ7FA/deep-forgetting-and-unlearning-for-safely-scoped-llms

10. Seven Failure Points When Engineering a Retrieval Augmented Generation System: (1)Missing content (did not index it) (2) Missing in top-k retrieved set (3) Not extracted (in context but LLM couldn’t use) (4) Wrong format (e.g. JSON) (5) Incorrect specificity (not at the right level of granularity) (6) Missing in reranked set (7) Incomplete — the synthesized answer only answers part of the question: https://arxiv.org/pdf/2401.05856.pdf