AI Progress Newsletter

The AI Progress Newsletter focuses on the latest developments in artificial intelligence, including generative AI, the impact of automation on jobs, productivity tools, advancements in natural language processing (NLP), and ethical considerations. It aims to keep readers informed about AI breakthroughs, practical applications, and the evolving landscape of AI technologies.

Generative AI Automation and Employment Productivity Tools Natural Language Processing AI in Healthcare Ethics in AI AI Development and Deployment User Experience in AI Applications

The hottest Substack posts of AI Progress Newsletter

And their main takeaways

Can OpenAI Keep Their Lead in Generative AI?

7 implied HN points • 23 Apr 23
🕹 Technology AI Generative AI Machine Learning Competition Innovation
  1. The competition in generative AI is growing as more companies work with large language models.
  2. OpenAI may face challenges in maintaining their lead due to limitations in text data for training larger models.
  3. The future for OpenAI could involve either successfully incorporating videos into models to stay ahead, or facing challenges if they fail to scale up efficiently.

Beyond ChatGPT: Exploring New Frontiers for NLP Specialists in a World of Advanced AI Chatbots

3 implied HN points • 22 Apr 23
🕹 Technology NLP Chatbots Fact-checking AI Research
  1. Developing domain-specific chatbots tailored to industries like healthcare, finance, and legal services can provide specialized support and knowledge to users.
  2. Automated fact-checking systems using NLP techniques aim to verify the accuracy of information to combat misinformation in news articles and social media.
  3. NLP specialists have various opportunities to explore beyond ChatGPT, as the field is evolving with new challenges and possibilities.
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Coming soon

3 implied HN points • 18 Mar 23
🕹 Technology AI
  1. AI Progress Newsletter is coming soon.
  2. You can subscribe to the newsletter at coolainewsletter.substack.com.
  3. Stay tuned for updates on AI progress.

The LLM Threshold: When Incremental Improvements Cease to Matter

1 HN point • 21 Mar 23
🕹 Technology Artificial Intelligence Ethics Research Development
  1. In the world of large language models (LLMs), the incremental improvements are reaching a point where they may not matter much to users.
  2. The growth in LLM size and capabilities has led to diminishing returns in user experience with each new iteration.
  3. Instead of focusing solely on improving LLM benchmarks, attention should be shifted to practical AI applications and addressing ethical concerns in AI development.