Thanks!
Using the Chatnik-system is the fastest way to get a summary and/or insights of, say, a presentation on YouTube:
youtube_transcript_api 1sd26pWhfmg --format text | LLMChat - --prompt=@ExtractArticleWisdom > yt.md && open yt.md
The CLI command youtube_transcript_api is provided by the Python package "pypi.org/project/youtube-transcript-api"
youtube_transcript_api
The Wolfram Language (WL) script part LLMChat - can be replaced with:
LLMChat -
Raku's llm-chat
llm-chat
Python's llm_chat
llm_chat
The prompt "ExtractArticleWisdom" is available in all three programming languages. (Python, Raku, WL.)
The transcript is of the presentation "Nicholas Carlini - Black-hat LLMs | [un]prompted 2026"
Here is the result Markdown document of the command line above:
Anton - this is a great article and deserves to be showcased. I particularly like the way that you weave together your work in WL and Raku (and Python for the less adventurous coder). Looking forward to using Chatnik in my daily workflow.
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