2026/talks/llms.md: Add the latest version of the questionsHEADmaster

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 [[!inline pages="internal(2026/info/llms-before)" raw="yes"]]
 
+ **Important**: The views expressed by the panelists do not
+ represent official position of FSF and the GNU project. They are no
+ less and no more than individual views of the invited panelists.
+
 The topic of AI (as a broad concept) and its flagship technology -
 LLMs - is rather controversial. Some of us enthusiastically accept the
 technology and its potential to change lives for the better; some are
@@ -43,35 +47,55 @@ discussion the same way: with the goal of understanding each
 other's positions and finding ways for different choices to
 coexist.
 
+Keep in mind that "AI" and "LLM" terms can often mean a number of very
+different things. For example, LLMs can mean large language
+model-based text generators, text embedding search models, voice
+recognition, or even anything related to the field of neural networks
+or machine learning. There is also often a confusion with people using
+the word "LLM" referring to the most popular proprietary generative
+models, although there are also open-weight language models or
+language models that can run locally.  "AI" is also often used
+interchangeably with "LLM" while it can also refer, say, to symbolic
+artificial intelligence systems.
+
+The questions below will use "AI" as a broad term that covers
+everything, not just the popular large language models.
+The "LLM" models will include large language models that can generate
+text, not limited to the popular SaaSS proprietary models, but also
+including local LLMs and open-weight models.
+
 P.S. There is no system but GNU, and Linux is one of its kernels :)
 
 Questions:
 
 1. If you were to imagine an ideal AI software you would use with
-   Emacs, how would it look like? How would it **not** look like? What
-   freedoms it would need to have?  Feel free to answer anything, not
-   limiting yourself to current LLM architectures.  If your answer is
-   that no such software should exist, that is a valid answer.
-
-2. What is the most useful application of LLMs with Emacs for you
-   personally? If you are not using LLMs, imagine that there is an
-   ideal AI or complex automation software (non-AI) you would be
-   willing to use and come up with such application.
-
-3. What is the most critical use case in your Emacs workflows where
-   you would **avoid** using AI?
-
-4. Imagine that there is an LLM-generated code submitted to Emacs that
-   implements long-awaited feature (for example, multi-threading
-   support in Emacs or time zone support in Org). As a maintainer,
-   under what conditions, if any, would you accept LLM-generated code,
-   and what would need to change for you to accept it? As a user,
-   would you be willing to use such a new feature?  You can answer as
-   a maintainer, user, or both.
+	Emacs, how would it look like? How would it **not** look like?
+	Would it be LLM text generator or entirely different architecture?
+	What freedoms would it need: free/libre source code, open weights
+	and training data if it is an LLM model, or something else?
+	If your answer is that no such software should exist, that is a
+	valid answer.
+
+2. There is a broad range of uses of AI within Emacs. Pick an
+	Emacs-related scenario that you find especially exciting or
+	worrisome and offer us a sense of why that is capturing your
+	attention.
+
+3. LLM-generated text can show up in many places not limited to
+    source code (commit messages, documentation, mailing lists,
+    etc). What do you think about harms or benefits (if any) of
+    LLM-generated text in non-code scenarios?
+
+4. Imagine a partly or fully LLM-generated code submitted to Emacs
+	that implements a long-awaited feature, for example
+	multi-threading support in Emacs or time-zone support in
+	Org. How would you deal with such submission as a maintainer or
+	as a user? What motivates your judgement? You can answer as a
+	maintainer, as a user, or as both.
 
 5. What is one thing the Emacs community should build, document, or
-   support (for newcomers or otherwise) around LLMs/AI in the next
-   year? And one thing it should decline to do?
+	support around AI (be it LLM chatbots or other machine learning
+	tech) in the next year? And one thing it should decline to do?
 
 **Note that you can ask other questions not limited to the above
 during public Q&A session after the panel discussion**