The hottest Text generation Substack posts right now

And their main takeaways
Category
Top Technology Topics

LLMs are machines. Are you one too?

70 Years Old. WTF! • 58 implied HN points • 19 Feb 23
🕹 Technology AI Machine Learning Language Models Text generation
  1. LLMs are Large Language Models, which are computer systems trained to generate language based on patterns.
  2. LLMs can write better than most humans, but they lack the freedom of expression that humans have.
  3. The difference between how a human writes and how a machine like ChatGPT generates text is the ability to freely use explicit language.
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The Purpose of a System is What it Does

Cybernetic Forests • 59 implied HN points • 20 Nov 22
🕹 Technology AI Ethics Text generation Social media
  1. The purpose of a system is reflected in what it actually does, not just what it claims to do.
  2. AI systems like Galactica may generate convincing but inaccurate results due to lack of contextual understanding.
  3. Criticism and evaluation of AI technology is crucial to ensure intended purposes align with actual outcomes and potential risks are identified.

Newsletter #1: Detecting AI with AI

Decoding Coding • 19 implied HN points • 02 Feb 23
🕹 Technology AI Machine Learning Ethics Text generation
  1. Detecting AI-generated text can be done by analyzing how likely the text is based on minor changes. If a text keeps showing a low probability, it probably came from an AI.
  2. Watermarking is another method, where certain words are purposely biased to make AI writing unique. If those specific words show up often, it's a sign that the text was generated by an AI.
  3. As AI tools become more popular, it's important to develop better detection methods to prevent cheating and ensure fair use in writing and academics.

Llama 3's Spotlight, Robots that Groove, Google's Gemini Timeout, & 2 other Stories

ppdispatch • 8 implied HN points • 01 Mar 24
🕹 Technology AI Robots Text generation
  1. Google faced a controversy with its image-generating AI model, Gemini, highlighting the importance of responsible AI development and oversight.
  2. Mistral AI introduced Mistral Large, a powerful text generation model with multilingual capabilities, partnering with Microsoft for integration.
  3. Apple has canceled its long-term electric car project, redirecting focus to advancing AI capabilities, while Meta is set to launch Llama 3, a refined language model that handles controversial queries.

The use cases of large language models(LLMs)

Experiments with NLP and GPT-3 • 1 HN point • 12 Mar 23
🕹 Technology AI NLP Automation Text generation
  1. Large language models are not AGI but are making significant advancements in solving various NLP problems.
  2. LLMs excel in tasks like parts of speech tagging, semantic parsing, named entity recognition, and question answering.
  3. LLMs can automate back office work and offer solutions for tasks like stemming, lemmatization, relationship extraction, summarization, keyword extraction, and text generation.

Detecting LLM-generated text is hard

The Counterfactual • 0 implied HN points • 07 Feb 23
🕹 Technology AI Ethics Text generation Machine Learning Digital Privacy
  1. It's tough to tell if text is written by a human or a language model like ChatGPT. People are concerned about students using it for school work or spreading false information.
  2. There are different methods being proposed to detect machine-generated text, like checking word patterns or adding hidden markers to the text. However, each method has its own challenges and limitations.
  3. As more tools become available for generating text easily, it raises worries about the quality and authenticity of online content. Many fear this could make online information less trustworthy.

Newsletter #19: CM3Leon

Decoding Coding • 0 implied HN points • 20 Jul 23
🕹 Technology AI Machine Learning Image Generation Text generation Data processing
  1. CM3Leon is a new type of language model that can generate and fill in both images and text. It uses advanced techniques to combine these two forms of media.
  2. The model tokenizes images and text separately to understand them better, improving how it creates content. It also applies a method to ensure the documents it uses are relevant and diverse.
  3. CM3Leon aims to deliver quality results that are as good as current image generation models. Future posts will dive deeper into research and technical details about such technologies.