Summary of Reddit Comments on "notebook lm tips"

NotebookLM Feedback

Users point out that NotebookLM makes learning easier and can read sources from handwritten PDFs.
Some users suggest that ChatGPT works better for generating questions and answers compared to NotebookLM.
A limitation of NotebookLM is its daily query limit, with the free version having only 50 queries per day.
It is advised to merge documents into one source to avoid hitting source limits on NotebookLM.
NotebookLM can assist in summarizing dense documents and providing actionable insights.
NotebookLM's citation features are powerful for organizing and gathering information efficiently.

Some users recommend using Autogpt, Novel AI, or Dragon for GMing purposes as alternatives to NotebookLM.
Users discuss limitations with AI models like Hallucination problems and inaccuracies, stating the need for fact-checking the information provided by LLMs.

A user appreciates the open-sourcing of models by Meta and discusses the speed of training models like SAM with large GPU clusters.
Concerns are raised about the ethical implications of feeding AI models proprietary or copyrighted materials without consent.
Some users express concern about the rapid advancement of AI technology and its potential impact on the job market and society.
Recommendations include utilizing AI for medical studies, creating podcasts, generating questions from lecture notes, and extracting details from documents for study purposes.

Some users recommend giving detailed instructions and prompts to get accurate and relevant responses from NotebookLM.
It is suggested to use NotebookLM as a supportive tool for active learning and organizing information efficiently.
Users mention using NotebookLM on their phones and integration with note-taking tools like Obsidian.md.
Utilizing the citation features and summaries of dense documents by NotebookLM can be helpful for studying and research purposes.

Users caution about the limitations of NotebookLM, such as errors in generated responses and potential misuse of proprietary materials for training AI models.
Suggestions are made to be cautious when using AI models for generating content and ensure thorough review and fact-checking of the information provided by LLMs.