AI generated Thread Summary, Tags, Prefix, SEO Meta, Thread cover, etc.

Alpha1 · Mar 16, 2025

AI / LLM's can be used to make threads and other content more useful and better organized. For better usability, SEO, content discovery and readability.

One of the challenges of using forums is reading through mega-threads with thousands of replies. Especially if high quality replies and useless comments are mixed. For this reasons there have been many requests for a summary feature over the years. Now with the advent of AI the technology to create good summaries for large amounts of text is possible.

Some other challenges for forums are:

Correcting useless thread titles. i.e. 'HELP ME NOW!!!' or 'Dumb question'.
Optimal SEO meta tags.
Useful thread tags.
Correct thread prefix.
Correct thread type. i.e. a Question posted as a Discussion Type.
Making forum threads look better with images.
Making unreadable posts readable. When users post broken English, chat speak, mobile t9 autocomplete suggests wrong words, ALL CAPS, no punctuation, no line breaks wall of text, no formatting, then it can make posts completely unreadable to others.
Link to related content from other content types for better content discovery. For example if XFRM has a resource that addresses the topic in a thread.

These can be daunting tasks and many admins don't even bother because of the scale of fixing all that.
Some forum platforms like Discourse and Quora have already implemented some LLM solutions. For example:

Discourse AI Topic Summary 🤖

ℹ Summary Uses a remote AI language model to prepare and post a summary of a topic. 🛠 Repository Link GitHub - merefield/discourse-ai-topic-summary: Uses a remote AI language model to prepare and post a summary of a Topic 📖 Install Guide How to install plugins in Discourse Enjoying this...

meta.discourse.org

Discourse AI

:discourse2: Summary Integration between AI features and Discourse 🌐 Website Discourse AI Features | Discourse - Civilized Discussion 🛠 Repository Link GitHub - discourse/discourse-ai 📖 Install Guide How to install plugins in Discourse Discourse AI Discourse AI is our one-stop...

meta.discourse.org

Once an LLM understands the meaning of the thread, the LLM can create the following with the data:

A thread summary. (widget)
A better thread snippet.
Suggest a better thread title.
SEO meta tags: Meta title, Meta Description, Meta Keywords, etc.
Thread tags.
Select Thread prefix.
Select Thread Type.
Thread cover, caption and thumb. This would make forum content look much better.
Making unreadable posts readable. (correct spelling mistakes)
Display related content. (Widget to display related content from all content types)

And the same for all content types. (XFRM, XFMG, Add-ons)
Please consider to add LLM functionality to let AI / LLM suggest the above.

As there are costs for the use of AI / LLM, it would require various limits on when analysis takes place. For example generate x,y,z only after x posts have been made. Or add a budget for AI credits.
As LLM generated data can be erroneous, methods of correct are needed like community editing of summaries or admin view of new tags.

eva2000 · Mar 19, 2025

frm said:
I don't know if @eva2000 's can be programmed to have Google's top searched keywords/phrases high/medium/low and rewrite paragraphs with keywords in context; if it can't, it's a nice summary, but might not be too helpful for SEO purposes. Perhaps, that could be his next mission... scrape all the keywords, competition, and bidding, so that they're a part of the model.

maybe https://dataforseo.com/apis or https://serpapi.com/google-trends-api could help but they cost $$$$. But my tool focus is more on large token context summarization, including server usage metrics analysis

For SEO, you would need some data sources which most likely cost $$$ i.e. https://dataforseo.com/apis/serp-api/google-serp-api

eva2000 · Mar 19, 2025

frm said:
I don't know if @eva2000 's can be programmed to have Google's top searched keywords/phrases high/medium/low and rewrite paragraphs with keywords in context; if it can't, it's a nice summary, but might not be too helpful for SEO purposes. Perhaps, that could be his next mission... scrape all the keywords, competition, and bidding, so that they're a part of the model.

Here's pure AI attempt for SEO title, keyword and description without SEO services. Full example https://github.com/centminmod/or-cli/blob/master/examples/example-xenforo-summary-follow-up-1.md

time python or-cli.py --webpage https://xenforo.com/community/threa...tags-prefix-seo-meta-thread-cover-etc.229871/ | python or-cli.py -p "Act like expert summarizer. Summarize the discussed topics and all users' sentiments for the Xenforo forum discussion thread. Provide an ultra detailed and accurate summary. Accuracy is paramount. Do not introduce any information, opinions, or interpretations that are not present in the original text. Write the summary in a neutral, conversational tone that reflects the style of the original content. Avoid editorializing or drawing conclusions beyond what is explicitly stated." -t --temperature 0.3 --model mistralai/mistral-small-24b-instruct-2501:free --skip-cache --follow-up "Are there any other suggestions on how to integrate AI into Xenforo that you can think of. What about the role of caching to reduce potential token usage? Can you provide an updated improved SEO optimized Xenforo thread <title>, 8 <meta tag keywords1,keywords2>, <meta description>"

Response

HTML:
----- Assistant Response -----
### Summary of the XenForo Forum Discussion Thread

The discussion revolves around the potential use of AI and Large Language Models (LLMs) to enhance forum functionality, usability, and SEO. Here's a detailed summary of the topics discussed and the sentiments of the users:

#### Topics Discussed

1. AI/LLM Integration in Forums:
- Alpha1 proposed using AI/LLMs to improve forum content organization, readability, and SEO. This includes generating thread summaries, better thread snippets, improved thread titles, SEO meta tags, thread tags, proper thread prefixes, thread covers, and related content links.
- findozor expressed doubt that these features would be added to the core but was willing to commission an add-on with similar functionality.
- PhineasD suggested an AI spell checker to improve SEO, which Alpha1 agreed was part of the proposal.

2. Benefits and Challenges:
- The discussion highlighted the challenges of reading through long threads and the potential of AI to summarize and organize content better.
- frm raised concerns about the human element in forums being lost if summarized, turning forums into wikis. They also discussed the impact on ad revenue and SEO rankings due to inaccuracies in AI-generated content.
- Alpha1 clarified that the summary would be an optional widget and would not replace the thread, adding extra content instead.

3. Examples and Use Cases:
- ProCom found AI summaries helpful on platforms like Amazon and Facebook for digesting large content.
- Wildcat Media opposed AI integration, stating they would leave XenForo if AI features were built into the core, citing the robotic tone of AI-generated content.
- Alpha1 provided an example of Amazon's review summaries and their usefulness, suggesting similar AI summaries for forums.

4. Cost and Implementation:
- The cost implications of AI for summarizing long threads were discussed, estimating the cost based on the number of tokens and the model used. The return on investment (ROI) for these features was also questioned.
- Alpha1 mentioned that the summary was just one part of the overall suggestion, with the goal of enhancing threads with AI-generated features based on admin preferences.

5. User Intent and Community Type:
- The usefulness of summaries was discussed in relation to the intent of the user and the type of community. Technical information-rich threads were seen as benefiting more from summaries than general chat forums.

6. Additional Points:
- eva2000 mentioned that costs for AI usage are coming down and provided an example of a free LLM model usage. They also discussed prompt compression techniques to reduce token usage and costs.
- Sal Collaziano mentioned an AI engineer looking for work and suggested this project as a potential opportunity.
- frm discussed the feasibility of AI integration for SEO purposes and the need for a conclusion on which LLM to use.
- Forsaken mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models.
- eva2000 suggested data sources for SEO purposes but noted they cost money.

#### Sentiments of Users

- Alpha1:
- Positive: Enthusiastic about the potential of AI/LLMs to enhance forum functionality, usability, and SEO.
- Neutral: Acknowledged the challenges and costs of AI implementation but saw it as a valuable addition.
- Negative: None explicitly stated.

- findozor:
- Positive: Willing to commission an add-on with similar functionality.
- Neutral: Doubtful that the features would be added to the core.
- Negative: None explicitly stated.

- PhineasD:
- Positive: Suggested an AI spell checker to improve SEO.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- frm:
- Positive: Open to AI handling prefixes, tags, and titles, and found AI summaries helpful.
- Negative: Raised concerns about the human element, ad revenue, and SEO rankings. Skeptical about the usefulness of summaries and cost implications.

- ProCom:
- Positive: Found AI summaries helpful and supported the idea for XenForo.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- Wildcat Media:
- Positive: None explicitly stated.
- Neutral: None explicitly stated.
- Negative: Opposed to AI integration due to the robotic tone of AI-generated content.

- Sal Collaziano:
- Positive: Mentioned an AI engineer looking for work and suggested this project as a potential opportunity.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- Forsaken:
- Positive: Mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- eva2000:
- Positive: Mentioned that costs for AI usage are coming down and provided examples of free LLM model usage. Discussed prompt compression techniques to reduce token usage and costs.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

The discussion reflects a mix of enthusiasm, skepticism, and concern about the potential integration of AI/LLMs into XenForo, with users highlighting both the benefits and challenges of such implementation.

----- Generation Stats -----
Model Used: mistralai/mistral-small-24b-instruct-2501:free
Provider Name: Chutes
Generation Time: 31225 ms
Prompt Tokens: 11265
Completion Tokens: 1180
Total Tokens: 12445
Total Cost: $0.00000000
Usage: 0
Latency: 6430 ms
Native Tokens Prompt: 11945
Native Tokens Completion: 1184
Native Tokens Reasoning: 0
Native Tokens Total: 13129
Cache Discount: None
Temperature: 0.3
Top P: 1.0
Seed: None
Max Tokens: None
Compress: False
Compress Rate (Setting): 0.4
Original Tokens (LLMLingua-2): N/A
Compressed Tokens (LLMLingua-2): N/A
Compression Rate (LLMLingua-2): N/A
Saving (LLMLingua-2): N/A
LLMLingua-2 max_batch_size: N/A
LLMLingua-2 max_force_token: N/A

----- Follow-up Assistant Response -----
### Additional Suggestions for Integrating AI into XenForo

Based on the discussion, here are some additional suggestions for integrating AI into XenForo:

1. AI-Driven Moderation:
- Sentiment: frm and Wildcat Media expressed concerns about the human element and the potential loss of community depth.
- Suggestion: Implement AI-driven moderation tools to help admins manage content more efficiently. This could include automatic flagging of inappropriate content, spam detection, and even suggesting actions for moderators to take.

2. AI-Powered User Engagement:
- Sentiment: frm mentioned the importance of human connection and the potential loss of depth in forums.
- Suggestion: Use AI to enhance user engagement by suggesting relevant threads, users, or content based on a user's activity and interests. This could help maintain the human element while providing a more personalized experience.

3. AI-Assisted Content Creation:
- Sentiment: Alpha1 highlighted the challenges of creating useful and well-organized content in forums.
- Suggestion: Implement AI tools to assist users in creating better content. This could include AI-driven writing assistants, suggestions for thread titles, tags, and even drafts for replies.

4. AI for Forum Analytics:
- Sentiment: frm discussed the impact of AI-generated content on ad revenue and SEO rankings.
- Suggestion: Use AI to provide more detailed and actionable analytics for forum admins. This could include insights into user behavior, content performance, and even predictive analytics to help admins make data-driven decisions.

5. AI Chatbots for Support:
- Sentiment: Wildcat Media expressed concern about the robotic tone of AI-generated content.
- Suggestion: Implement AI chatbots to provide support and assistance to users. These chatbots could be designed to have a more natural and conversational tone, helping to address user concerns and questions without detracting from the human element of the community.

6. AI for Accessibility:
- Sentiment: Alpha1 mentioned making unreadable posts readable.
- Suggestion: Use AI to improve the accessibility of forum content. This could include automatic text-to-speech functionality, image description generation, and even real-time translation services to make forums more accessible to users with disabilities or those who speak different languages.

### Role of Caching to Reduce Potential Token Usage

Caching can play a significant role in reducing the potential token usage for AI-generated content. By caching the results of AI-generated summaries, meta tags, and other content, the system can avoid redundant processing and reduce the number of API calls to the LLM. This not only saves costs but also improves the performance of the forum.

### Updated SEO-Optimized XenForo Thread Title, Meta Tags, and Meta Description

Thread Title:
"Enhancing XenForo with AI: Summaries, SEO, and Content Organization"

Meta Tags:

HTML:

<meta name="keywords" content="XenForo AI integration, forum summaries, SEO optimization, content organization, AI-driven moderation, user engagement, content creation, forum analytics, AI chatbots, accessibility">

Meta Description:
"Discover how integrating AI and Large Language Models (LLMs) can enhance XenForo forums with better content organization, readability, and SEO. Explore features like thread summaries, improved titles, meta tags, and more. Learn about the benefits, challenges, and cost considerations of AI integration in forums."

These suggestions and optimizations build upon the ideas and sentiments expressed in the original discussion, providing additional ways to integrate AI into XenForo while addressing some of the concerns and challenges raised by the users.

----- Follow-up Generation Stats -----

----- Generation Stats -----
Model Used: mistralai/mistral-small-24b-instruct-2501:free
Provider Name: Chutes
Generation Time: 20375 ms
Prompt Tokens: 12513
Completion Tokens: 775
Total Tokens: 13288
Total Cost: $0.00000000
Usage: 0
Latency: 7121 ms
Native Tokens Prompt: 13193
Native Tokens Completion: 789
Native Tokens Reasoning: 0
Native Tokens Total: 13982
Cache Discount: None
Temperature: 0.3
Top P: 1.0
Seed: None
Max Tokens: None
Compress: False
Compress Rate (Setting): 0.4
Original Tokens (LLMLingua-2): N/A
Compressed Tokens (LLMLingua-2): N/A
Compression Rate (LLMLingua-2): N/A
Saving (LLMLingua-2): N/A
LLMLingua-2 max_batch_size: N/A
LLMLingua-2 max_force_token: N/A

real 1m18.809s
user 0m12.139s
sys 0m1.096s

Stuart Wright · Mar 21, 2025

I don't want to pour cold water on the whole suggestion, but we have considered some of these ideas already and come to the following conclusions.

PhineasD said:
Including an AI spell checker would also improve SEO.

Well, maybe not in all cases. While absolutely useless titles like Question don't help anyone and I agree that an AI generated title would be way better for SEO in cases like that, the variety of thread titles, including misspellings, might actually capture more SEO traffic with a wider variety of human searches. Just something to consider.
And changing the post text might actually upset/offend the original posters who we want to feel ownership of their posted content.

ProCom said:
I've found the "summarize" functionality on long lists of Amazon reviews and super long Facebook comments to be SUPER helpful when trying to get the gist of a LOT of messy content.

I think an AI generated "thread summary" would be a great addon!

Considered and rejected this idea also because we actually want people to spend time on the site reading the threads, don't we?
The discussion within a thread evolves over time and not only can following that discussion be informative, but also entertaining. Or enraging.
If you summarise a thread in to a few short sentances, you are effectively removing lots of context from the summary and steralising the experience.
I think it could dramatically reduce site engagement.

There is also mention of putting content in sidebars. Forget sidebars. Most people use mobile, now, so sidebars are so limited that they are effectively useless if you're relying on using them for anything important.
That said, sidebars have a use on desktop. Infact, studies show how a specific number of characters per line are optimal for reading efficiency/comfort. And when you take that in to account and (rightly IMO) use a fixed width layout, then there is plenty of room for sidebars on desktop.
It's a big problem, however, that we have useful tools in our sidebars on AVForums and if that is shunted to the bottom of the page on mobile, then nobody will know of their existance. If we're going to use sidebars, we need a way for uses to slide them out. A way that is so obvious that users can't miss it.

frm · Mar 21, 2025

Stuart Wright said:
I think it could dramatically reduce site engagement.

This was my issue with a 500-post thread. Sure, you could still have engagement, but perhaps make it the 21st "post" (or widget below the last post) summarizing that page and then (if I did my math right) the 525th post that summarizes the entire thread (provided 20 posts per page).

That would at least still give you 2 page views at a minimum, if not all 20 pages to skim and read summary by summary, finishing off with the final summary. Time view on page might dip, but scrolling would still have to happen to get to the summary, so ads would still be displayed.

Sal Collaziano · Mar 21, 2025

Stuart Wright said:
I don't want to pour cold water on the whole suggestion, but we have considered some of these ideas already and come to the following conclusions.

Well, maybe not in all cases. While absolutely useless titles like Question don't help anyone and I agree that an AI generated title would be way better for SEO in cases like that, the variety of thread titles, including misspellings, might actually capture more SEO traffic with a wider variety of human searches. Just something to consider.
And changing the post text might actually upset/offend the original posters who we want to feel ownership of their posted content.

Considered and rejected this idea also because we actually want people to spend time on the site reading the threads, don't we?
The discussion within a thread evolves over time and not only can following that discussion be informative, but also entertaining. Or enraging.
If you summarise a thread in to a few short sentances, you are effectively removing lots of context from the summary and steralising the experience.
I think it could dramatically reduce site engagement.

There is also mention of putting content in sidebars. Forget sidebars. Most people use mobile, now, so sidebars are so limited that they are effectively useless if you're relying on using them for anything important.
That said, sidebars have a use on desktop. Infact, studies show how a specific number of characters per line are optimal for reading efficiency/comfort. And when you take that in to account and (rightly IMO) use a fixed width layout, then there is plenty of room for sidebars on desktop.
It's a big problem, however, that we have useful tools in our sidebars on AVForums and if that is shunted to the bottom of the page on mobile, then nobody will know of their existance. If we're going to use sidebars, we need a way for uses to slide them out. A way that is so obvious that users can't miss it.

Summarize should definitely be optional for the reason you mentioned. Administrators can experiment with it to see how it works.

It should also auto-generate and update after every post or X amount of posts.

Your point regarding titles like “Question” does make sense with misspellings, but also consider the fact that far fewer people will click through that thread title than if it were more descriptive about what the question was - which would reduce participation in the discussion.

PhineasD · Mar 21, 2025

Stuart Wright said:
Well, maybe not in all cases. While absolutely useless titles like Question don't help anyone and I agree that an AI generated title would be way better for SEO in cases like that, the variety of thread titles, including misspellings, might actually capture more SEO traffic with a wider variety of human searches. Just something to consider.

I meant to correct misspelled words, with missing letters, capital letters at the beginning of the sentence, etc. I don't want correct misspelled sentences, but misspelled words. There would be no aspect that would make one suspect that the words has been corrected by AI.

Alpha1 · Mar 21, 2025

Stuart Wright said:
And changing the post text might actually upset/offend the original posters who we want to feel ownership of their posted content.

There certainly need to be a balance there as we don't want to radically change useful posts beyond the meaning, expression or intent of the writer. But increasing the post readability by fixing spelling mistakes, wall of text, formatting, etc will enrich post quality. This is especially true for old posts from before spell checkers came around by members who are long gone, as well as newer completely unreadable posts with txt spk.

eva2000 · Mar 21, 2025

Stuart Wright said:
Considered and rejected this idea also because we actually want people to spend time on the site reading the threads, don't we?
The discussion within a thread evolves over time and not only can following that discussion be informative, but also entertaining. Or enraging.
If you summarise a thread in to a few short sentances, you are effectively removing lots of context from the summary and steralising the experience.
I think it could dramatically reduce site engagement.

Would really need to play with the parameters and would depend on the audience. Maybe give per page summaries like video chapter bookmarks?

Hope folks don't mind but sharing examples of this thread's summary as the discussion evolves to give folks an idea

The prompt and follow-up prompt

time python or-cli.py --webpage https://xenforo.com/community/threa...tags-prefix-seo-meta-thread-cover-etc.229871/ | python or-cli.py -p "Act like expert summarizer. Summarize the discussed topics and all users' sentiments for the Xenforo forum discussion thread. Provide an ultra detailed and accurate summary. Accuracy is paramount. Do not introduce any information, opinions, or interpretations that are not present in the original text. Write the summary in a neutral, conversational tone that reflects the style of the original content. Avoid editorializing or drawing conclusions beyond what is explicitly stated. Also provide per Xenforo thread page summary at the end." -t --temperature 0.3 --model mistralai/mistral-small-24b-instruct-2501:free --skip-cache --follow-up "Are there any other suggestions on how to integrate AI into Xenforo that you can think of. What about the role of caching to reduce potential token usage? Can you provide an updated improved SEO optimized Xenforo thread <title>, 8 <meta tag keywords1,keywords2>, <meta description>"

The response

HTML:
----- Assistant Response -----
### Summary of XenForo Forum Discussion Thread

The discussion thread revolves around the potential use of AI and Large Language Models (LLMs) to enhance forum functionality, usability, and SEO. Here's a detailed summary of the topics discussed and the sentiments of the users:

#### Topics Discussed

1. AI/LLM Integration in Forums:
- Alpha1 proposed using AI/LLMs to improve forum content organization, readability, and SEO. This includes generating thread summaries, better thread snippets, improved thread titles, SEO meta tags, thread tags, proper thread prefixes, thread covers, and related content links.
- findozor expressed doubt that these features would be added to the core but was willing to commission an add-on with similar functionality.
- PhineasD suggested including an AI spell checker to improve SEO, which Alpha1 agreed was part of the proposal.

2. Benefits and Challenges:
- The discussion highlighted the challenges of reading through long threads and the potential of AI to summarize and organize content better.
- frm raised concerns about the human element in forums being lost if summarized, turning forums into wikis. They also discussed the impact on ad revenue and SEO rankings due to inaccuracies in AI-generated content.
- Alpha1 clarified that the summary would be an optional widget and would not replace the thread, adding extra content instead.

3. Examples and Use Cases:
- ProCom found AI summaries helpful on platforms like Amazon and Facebook for digesting large content.
- Wildcat Media opposed AI integration, stating they would leave XenForo if AI features were built into the core, citing the robotic tone of AI-generated content.
- Alpha1 provided an example of Amazon's review summaries and their usefulness, suggesting similar AI summaries for forums.

4. Cost and Implementation:
- The cost implications of AI for summarizing long threads were discussed, estimating the cost based on the number of tokens and the model used. The return on investment (ROI) for these features was also questioned.
- Alpha1 mentioned that the summary was just one part of the overall suggestion, with the goal of enhancing threads with AI-generated features based on admin preferences.

5. User Intent and Community Type:
- The usefulness of summaries was discussed in relation to the intent of the user and the type of community. Technical information-rich threads were seen as benefiting more from summaries than general chat forums.

6. Additional Points:
- eva2000 mentioned that costs for AI usage are coming down and provided an example of a free LLM model usage. They also discussed prompt compression techniques to reduce token usage and costs.
- Sal Collaziano mentioned an AI engineer looking for work and suggested this project as a potential opportunity.
- frm discussed the feasibility of AI integration for SEO purposes and the need for a conclusion on which LLM to use.
- Forsaken mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models.
- eva2000 suggested data sources for SEO purposes but noted they cost money.
- Stuart Wright discussed the potential impact of AI-generated content on user engagement and the importance of maintaining the human element in forums.

#### Sentiments of Users

- Alpha1:
- Positive: Enthusiastic about the potential of AI/LLMs to enhance forum functionality, usability, and SEO.
- Neutral: Acknowledged the challenges and costs of AI implementation but saw it as a valuable addition.
- Negative: None explicitly stated.

- findozor:
- Positive: Willing to commission an add-on with similar functionality.
- Neutral: Doubtful that the features would be added to the core.
- Negative: None explicitly stated.

- PhineasD:
- Positive: Suggested an AI spell checker to improve SEO.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- frm:
- Positive: Open to AI handling prefixes, tags, and titles, and found AI summaries helpful.
- Negative: Raised concerns about the human element, ad revenue, and SEO rankings. Skeptical about the usefulness of summaries and cost implications.

- ProCom:
- Positive: Found AI summaries helpful and supported the idea for XenForo.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- Wildcat Media:
- Positive: None explicitly stated.
- Neutral: None explicitly stated.
- Negative: Opposed to AI integration due to the robotic tone of AI-generated content.

- Sal Collaziano:
- Positive: Mentioned an AI engineer looking for work and suggested this project as a potential opportunity.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- Forsaken:
- Positive: Mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- eva2000:
- Positive: Mentioned that costs for AI usage are coming down and provided examples of free LLM model usage. Discussed prompt compression techniques to reduce token usage and costs.
- Neutral: None explicitly stated.
- Negative: None explicitly stated.

- Stuart Wright:
- Positive: None explicitly stated.
- Neutral: Discussed the potential impact of AI-generated content on user engagement and the importance of maintaining the human element in forums.
- Negative: Expressed concerns about the potential reduction in site engagement due to AI summaries.

The discussion reflects a mix of enthusiasm, skepticism, and concern about the potential integration of AI/LLMs into XenForo, with users highlighting both the benefits and challenges of such implementation.

### XenForo Thread Page Summaries

Page 1:

Alpha1 introduces the idea of using AI/LLMs to enhance forum usability, SEO, and content discovery.

findozor expresses doubt about core implementation but is willing to commission an add-on.

PhineasD suggests an AI spell checker for SEO improvement.

Alpha1 confirms that readability improvements are part of the proposal.

frm raises concerns about the human element and potential loss of engagement.

Alpha1 clarifies that summaries would be optional widgets.

Page 2:

ProCom supports AI summaries based on experiences with Amazon and Facebook.

Wildcat Media strongly opposes AI integration due to the robotic tone of AI-generated content.

Alpha1 provides an example of Amazon's review summaries.

frm discusses the cost implications and potential ROI of AI summaries.

Alpha1 addresses cost concerns and mentions the potential for a centralized AI API framework.

eva2000 provides examples of free LLM model usage and prompt compression techniques.

Sal Collaziano mentions an AI engineer looking for work and suggests this project as an opportunity.

frm discusses the feasibility of AI for SEO and the need for a conclusion on which LLM to use.

Forsaken mentions OpenRouter and Ollama as unified platforms.

eva2000 suggests data sources for SEO but notes the cost.

Stuart Wright discusses the potential impact of AI-generated content on user engagement and the importance of maintaining the human element.

frm suggests placing summaries at specific intervals to maintain engagement.

Sal Collaziano agrees that summaries should be optional and auto-generated.

PhineasD clarifies that the AI spell checker would correct misspelled words without altering the meaning.

Alpha1 addresses concerns about changing post text and the need for balance.

----- Generation Stats -----
Model Used: mistralai/mistral-small-24b-instruct-2501:free
Provider Name: Chutes
Generation Time: 38967 ms
Prompt Tokens: 15937
Completion Tokens: 1684
Total Tokens: 17621
Total Cost: $0.00000000
Usage: 0
Latency: 8285 ms
Native Tokens Prompt: 16859
Native Tokens Completion: 1694
Native Tokens Reasoning: 0
Native Tokens Total: 18553
Cache Discount: None
Temperature: 0.3
Top P: 1.0
Seed: None
Max Tokens: None
Compress: False
Compress Rate (Setting): 0.4
Original Tokens (LLMLingua-2): N/A
Compressed Tokens (LLMLingua-2): N/A
Compression Rate (LLMLingua-2): N/A
Saving (LLMLingua-2): N/A
LLMLingua-2 max_batch_size: N/A
LLMLingua-2 max_force_token: N/A

----- Follow-up Assistant Response -----
### Additional Suggestions for Integrating AI into XenForo

Based on the discussion, here are some additional suggestions for integrating AI into XenForo:

1. AI-Driven Moderation:
- Sentiment: frm and Wildcat Media expressed concerns about the human element and the potential loss of community depth.
- Suggestion: Implement AI-driven moderation tools to help admins manage content more efficiently. This could include automatic flagging of inappropriate content, spam detection, and even suggesting actions for moderators to take.

2. AI-Powered User Engagement:
- Sentiment: frm mentioned the importance of human connection and the potential loss of depth in forums.
- Suggestion: Use AI to enhance user engagement by suggesting relevant threads, users, or content based on a user's activity and interests. This could help maintain the human element while providing a more personalized experience.

3. AI-Assisted Content Creation:
- Sentiment: Alpha1 highlighted the challenges of creating useful and well-organized content in forums.
- Suggestion: Implement AI tools to assist users in creating better content. This could include AI-driven writing assistants, suggestions for thread titles, tags, and even drafts for replies.

4. AI for Forum Analytics:
- Sentiment: frm discussed the impact of AI-generated content on ad revenue and SEO rankings.
- Suggestion: Use AI to provide more detailed and actionable analytics for forum admins. This could include insights into user behavior, content performance, and even predictive analytics to help admins make data-driven decisions.

5. AI Chatbots for Support:
- Sentiment: Wildcat Media expressed concern about the robotic tone of AI-generated content.
- Suggestion: Implement AI chatbots to provide support and assistance to users. These chatbots could be designed to have a more natural and conversational tone, helping to address user concerns and questions without detracting from the human element of the community.

6. AI for Accessibility:
- Sentiment: Alpha1 mentioned making unreadable posts readable.
- Suggestion: Use AI to improve the accessibility of forum content. This could include automatic text-to-speech functionality, image description generation, and even real-time translation services to make forums more accessible to users with disabilities or those who speak different languages.

### Role of Caching to Reduce Potential Token Usage

Caching can play a significant role in reducing the potential token usage for AI-generated content. By caching the results of AI-generated summaries, meta tags, and other content, the system can avoid redundant processing and reduce the number of API calls to the LLM. This not only saves costs but also improves the performance of the forum.

### Updated SEO-Optimized XenForo Thread Title, Meta Tags, and Meta Description

Thread Title:
"Enhancing XenForo with AI: Summaries, SEO, and Content Organization"

Meta Tags:

HTML:

<meta name="keywords" content="XenForo AI integration, forum summaries, SEO optimization, content organization, AI-driven moderation, user engagement, content creation, forum analytics, AI chatbots, accessibility">

Meta Description:
"Discover how integrating AI and Large Language Models (LLMs) can enhance XenForo forums with better content organization, readability, and SEO. Explore features like thread summaries, improved titles, meta tags, and more. Learn about the benefits, challenges, and cost considerations of AI integration in forums."

----- Follow-up Generation Stats -----

----- Generation Stats -----
Model Used: mistralai/mistral-small-24b-instruct-2501:free
Provider Name: Chutes
Generation Time: 17575 ms
Prompt Tokens: 17689
Completion Tokens: 735
Total Tokens: 18424
Total Cost: $0.00000000
Usage: 0
Latency: 8878 ms
Native Tokens Prompt: 18617
Native Tokens Completion: 749
Native Tokens Reasoning: 0
Native Tokens Total: 19366
Cache Discount: None
Temperature: 0.3
Top P: 1.0
Seed: None
Max Tokens: None
Compress: False
Compress Rate (Setting): 0.4
Original Tokens (LLMLingua-2): N/A
Compressed Tokens (LLMLingua-2): N/A
Compression Rate (LLMLingua-2): N/A
Saving (LLMLingua-2): N/A
LLMLingua-2 max_batch_size: N/A
LLMLingua-2 max_force_token: N/A

real 1m31.953s
user 0m14.449s
sys 0m1.171s

frm · Mar 21, 2025

eva2000 said:
Hope folks don't mind but sharing examples of this thread's summary as the discussion evolves to give folks an idea

I like it.

The keywords need refining though. There are very little search volume for very niche searches (I'd wager 0 for one or two of them, but who know, there might be 1 per month with that and you could claim #1).

Forsaken · Mar 21, 2025

eva2000 said:
Would really need to play with the parameters and would depend on the audience. Maybe give per page summaries like video chapter bookmarks?

Hope folks don't mind but sharing examples of this thread's summary as the discussion evolves to give folks an idea

The prompt and follow-up prompt

The response

It will likely cannibalize reading (and adding) to discussions, as a lot of people will often just consume the title or summary (good example is news or Reddit).

I could see it being useful to a daily digest in a way that it is used to pull people into conversations, or keep them informed of conversations they have not potentially seen.

eva2000 · Mar 21, 2025

frm said:
The keywords need refining though. There are very little search volume for very niche searches (I'd wager 0 for one or two of them, but who know, there might be 1 per month with that and you could claim #1).

Yeah, we need an AI LLM model that can draw on SEO data via an SEO data API, OpenAI-supported tooling or Anthropic Model Context Protocol (MCP) based servers to get more accurate suggestions. Might need to convert forum summaries to JSON format for this. Tested my or-cli.py with prompt template example for Xenforo Thread Summary Using Structured Schema JSON Format

And
converting the structured JSON output back to summary format.

time python or-cli.py --webpage https://xenforo.com/community/threa...tags-prefix-seo-meta-thread-cover-etc.229871/ | python or-cli.py --template xenforo-threads-summary.yaml --structured-schema structured-schemas/xf_forum_summary_schema.json -t --temperature 0.3 --model google/gemini-2.0-flash-exp:free --skip-cache | tee response_xf_forum_summary_schema.json

JSON:

{
  "pageSummaries": [
    {
      "pageNumber": 1,
      "points": [
        "Alpha1 suggests using AI/LLMs to enhance forum usability, SEO, and content discovery.",
        "findozor expresses doubt about core implementation but is willing to commission an add-on.",
        "PhineasD suggests an AI spell checker for SEO improvement.",
        "Alpha1 confirms that readability improvements are part of the proposal.",
        "frm raises concerns about the human element and potential loss of engagement.",
        "Alpha1 clarifies that summaries would be optional widgets."
      ]
    },
    {
      "pageNumber": 2,
      "points": [
        "ProCom supports AI summaries based on experiences with Amazon and Facebook.",
        "Wildcat Media strongly opposes AI integration due to the robotic tone of AI-generated content.",
        "Alpha1 provides an example of Amazon's review summaries.",
        "frm discusses the cost implications and potential ROI of AI summaries.",
        "Alpha1 addresses cost concerns and mentions the potential for a centralized AI API framework.",
        "eva2000 provides examples of free LLM model usage and prompt compression techniques.",
        "Sal Collaziano mentions an AI engineer looking for work and suggests this project as an opportunity.",
        "frm discusses the feasibility of AI for SEO and the need for a conclusion on which LLM to use.",
        "Forsaken mentions OpenRouter and Ollama as unified platforms.",
        "eva2000 suggests data sources for SEO but notes the cost.",
        "Stuart Wright discusses the potential impact of AI-generated content on user engagement and the importance of maintaining the human element.",
        "frm suggests placing summaries at specific intervals to maintain engagement.",
        "Sal Collaziano agrees that summaries should be optional and auto-generated.",
        "PhineasD clarifies that the AI spell checker would correct misspelled words without altering the meaning.",
        "Alpha1 addresses concerns about changing post text and the need for balance."
      ]
    }
  ],
  "threadSummary": {
    "overview": "The discussion thread revolves around the potential use of AI and Large Language Models (LLMs) to enhance forum functionality, usability, and SEO. Users discuss the benefits and challenges of AI integration, including generating thread summaries, improving thread titles, SEO meta tags, and more. Concerns are raised about the human element, ad revenue, and cost implications. Various users express enthusiasm, skepticism, and concern about the potential integration of AI/LLMs into XenForo.",
    "title": "AI/LLM Integration for Enhanced XenForo Functionality"
  },
  "topicsDiscussed": [
    {
      "points": [
        "Alpha1 proposed using AI/LLMs to improve forum content organization, readability, and SEO. This includes generating thread summaries, better thread snippets, improved thread titles, SEO meta tags, thread tags, proper thread prefixes, thread covers, and related content links.",
        "findozor expressed doubt that these features would be added to the core but was willing to commission an add-on with similar functionality.",
        "PhineasD suggested including an AI spell checker to improve SEO, which Alpha1 agreed was part of the proposal."
      ],
      "title": "AI/LLM Integration in Forums"
    },
    {
      "points": [
        "The discussion highlighted the challenges of reading through long threads and the potential of AI to summarize and organize content better.",
        "frm raised concerns about the human element in forums being lost if summarized, turning forums into wikis. They also discussed the impact on ad revenue and SEO rankings due to inaccuracies in AI-generated content.",
        "Alpha1 clarified that the summary would be an optional widget and would not replace the thread, adding extra content instead."
      ],
      "title": "Benefits and Challenges"
    },
    {
      "points": [
        "ProCom found AI summaries helpful on platforms like Amazon and Facebook for digesting large content.",
        "Wildcat Media opposed AI integration, stating they would leave XenForo if AI features were built into the core, citing the robotic tone of AI-generated content.",
        "Alpha1 provided an example of Amazon's review summaries and their usefulness, suggesting similar AI summaries for forums."
      ],
      "title": "Examples and Use Cases"
    },
    {
      "points": [
        "The cost implications of AI for summarizing long threads were discussed, estimating the cost based on the number of tokens and the model used. The return on investment (ROI) for these features was also questioned.",
        "Alpha1 mentioned that the summary was just one part of the overall suggestion, with the goal of enhancing threads with AI-generated features based on admin preferences."
      ],
      "title": "Cost and Implementation"
    },
    {
      "points": [
        "The usefulness of summaries was discussed in relation to the intent of the user and the type of community. Technical information-rich threads were seen as benefiting more from summaries than general chat forums."
      ],
      "title": "User Intent and Community Type"
    },
    {
      "points": [
        "eva2000 mentioned that costs for AI usage are coming down and provided an example of a free LLM model usage. They also discussed prompt compression techniques to reduce token usage and costs.",
        "Sal Collaziano mentioned an AI engineer looking for work and suggested this project as a potential opportunity.",
        "frm discussed the feasibility of AI integration for SEO purposes and the need for a conclusion on which LLM to use.",
        "Forsaken mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models.",
        "eva2000 suggested data sources for SEO purposes but noted they cost money.",
        "Stuart Wright discussed the potential impact of AI-generated content on user engagement and the importance of maintaining the human element in forums."
      ],
      "title": "Additional Points"
    }
  ],
  "userSentiments": [
    {
      "negative": [],
      "neutral": [
        "Acknowledged the challenges and costs of AI implementation but saw it as a valuable addition."
      ],
      "positive": [
        "Enthusiastic about the potential of AI/LLMs to enhance forum functionality, usability, and SEO."
      ],
      "username": "Alpha1"
    },
    {
      "negative": [],
      "neutral": [
        "Doubtful that the features would be added to the core."
      ],
      "positive": [
        "Willing to commission an add-on with similar functionality."
      ],
      "username": "findozor"
    },
    {
      "negative": [],
      "neutral": [],
      "positive": [
        "Suggested an AI spell checker to improve SEO."
      ],
      "username": "PhineasD"
    },
    {
      "negative": [
        "Raised concerns about the human element, ad revenue, and SEO rankings.",
        "Skeptical about the usefulness of summaries and cost implications."
      ],
      "neutral": [],
      "positive": [
        "Open to AI handling prefixes, tags, and titles, and found AI summaries helpful."
      ],
      "username": "frm"
    },
    {
      "negative": [],
      "neutral": [],
      "positive": [
        "Found AI summaries helpful and supported the idea for XenForo."
      ],
      "username": "ProCom"
    },
    {
      "negative": [
        "Opposed to AI integration due to the robotic tone of AI-generated content."
      ],
      "neutral": [],
      "positive": [],
      "username": "Wildcat Media"
    },
    {
      "negative": [],
      "neutral": [],
      "positive": [
        "Mentioned an AI engineer looking for work and suggested this project as a potential opportunity."
      ],
      "username": "Sal Collaziano"
    },
    {
      "negative": [],
      "neutral": [],
      "positive": [
        "Mentioned OpenRouter and Ollama as unified platforms giving access to most current AI models."
      ],
      "username": "Forsaken"
    },
    {
      "negative": [],
      "neutral": [],
      "positive": [
        "Mentioned that costs for AI usage are coming down and provided examples of free LLM model usage.",
        "Discussed prompt compression techniques to reduce token usage and costs."
      ],
      "username": "eva2000"
    },
    {
      "negative": [
        "Expressed concerns about the potential reduction in site engagement due to AI summaries."
      ],
      "neutral": [
        "Discussed the potential impact of AI-generated content on user engagement and the importance of maintaining the human element in forums."
      ],
      "positive": [],
      "username": "Stuart Wright"
    }
  ]
}

Forsaken said:
It will likely cannibalize reading (and adding) to discussions, as a lot of people will often just consume the title or summary (good example is news or Reddit).

I could see it being useful to a daily digest in a way that it is used to pull people into conversations, or keep them informed of conversations they have not potentially seen.

It really depends on how invested the user is in reading/revisiting the threads. Does the user lose interest in reading every post in a thread at 100 posts? 200 posts? 300 posts? Do they read the first 20 posts and skip every post in between, only to read the last 10 posts? On very large post count threads, that's how I usually read them - the first few pages I can follow, but skip a few hours or days, and there are 100s of new posts added to a thread. I usually just skip to the last page and read the previous few pages before it. I miss everything in between.

You can maybe just enable thread summaries past XXX number of posts. Or using AI intelligently could conditionally determine the XXX post number based on forum members' frequency of visits, number of pages they read per thread etc. So if a user has a pattern of reading only the first three pages and the last page of the thread, show them the summary after the 3rd page is read

Seeker-Smith · Mar 21, 2025

Stuart Wright said:
I agree that an AI generated title

That is already available https://gnz.is/products/chatgpt-title-corrector.34/

Seeker-Smith · Mar 21, 2025

Sal Collaziano said:
Summarize should definitely be optional for the reason you mentioned. Administrators can experiment with it to see how it works.

It should also auto-generate and update after every post or X amount of posts.

Your point regarding titles like “Question” does make sense with misspellings, but also consider the fact that far fewer people will click through that thread title than if it were more descriptive about what the question was - which would reduce participation in the discussion.

This is something that I may look at.

I use AI to do a summary and outline of movie / TV show threads as most users do a crappy job it.

eva2000 · Mar 23, 2025

eva2000 said:
It really depends on how invested the user is in reading/revisiting the threads. Does the user lose interest in reading every post in a thread at 100 posts? 200 posts? 300 posts? Do they read the first 20 posts and skip every post in between, only to read the last 10 posts? On very large post count threads, that's how I usually read them - the first few pages I can follow, but skip a few hours or days, and there are 100s of new posts added to a thread. I usually just skip to the last page and read the previous few pages before it. I miss everything in between.

I refined my per-thread page summaries and tried on a real thread that is 34 pages long with 660+ posts https://xenforo.com/community/threads/uk-online-safety-regulations-and-impact-on-forums.227661/

or-cli.py large thread post processing example https://github.com/centminmod/or-cli/blob/master/examples/example-xenforo-summary-large-thread-1.md with full 34 page per page summaries

Below I snipped off pages 21-34 per page summaries to fit post character limit. See the full output here

----- Assistant Response -----

Overall Summary of the Xenforo Forum Discussion Thread:

This Xenforo forum thread discusses the implications of the UK's Online Safety Act (OSA) on forum owners, particularly those with UK users. The discussion begins with lazy llama introducing the regulations, which come into effect on March 17, 2025, and highlighting key requirements such as age verification and content scanning.

Key Concerns and Topics:

Scope of the OSA: The regulations apply to all forums with links to the UK, including those accepting UK users.

Age Verification: The need for "strong" age verification is a major point of concern, with discussions on methods, costs, and practicality.

Content Scanning: The requirement to scan content for illegal material, including private messages, raises privacy issues and technical challenges.

Risk Assessments: Forum owners must conduct mandatory risk assessments, identifying potential illegal content and harm to users.

Compliance Costs: Concerns are raised about the financial burden of compliance, especially for small, volunteer-run forums.

Free Speech vs. Censorship: The discussion touches on the balance between free speech and the need to remove illegal and harmful content, with some users expressing strong views on freedom of expression.

Practical Implementation: Members discuss various strategies, including blocking UK users, disabling private messages, using AI-powered moderation tools, and implementing age verification systems.

Uncertainty and Ambiguity: Many members express frustration with the lack of clarity in the regulations and the evolving nature of the requirements.

Forum Closures: Some forums, such as LFGSS and Microcosm, have announced closures due to the perceived burdens and risks associated with the OSA.

User Sentiments:

lazy llama: Initiates the discussion, provides links to relevant resources, and seeks clarification on various aspects of the regulations.

Iggy: Expresses concern about the potential for data scanning and the impact on private web communities.

alfaNova: Suggests the need for automated search and reporting tools and shares information from GPT about the OSA's requirements.

JamesBrown: Believes the reaction to the regulations is an overreaction, citing the closure of a bike forum as an example.

MentaL: Acknowledges the "big brother" aspect but emphasizes the need to adapt, suggesting region and age restrictions.

ForumFan: Strongly opposes the regulations, stating they block UK and EU users due to the "insane" legal requirements and their commitment to free speech.

Mr Lucky: Questions the necessity of drastic measures, seeks clarification on specific requirements, and emphasizes the importance of moderation.

frm: Discusses CSAM detection and the challenges of finding affordable solutions, suggesting lawfare as a tactic.

zappaDPJ: Highlights the potential for the Act to be weaponized by disgruntled users and questions the practicality of compliance.

eva2000: Creates and shares a forum guideline template based on the OSA.

Alpha1: Suggests improved functionality for reporting and moderating illegal content, including AI-based solutions.

chillibear: Explores age verification options, discusses content scanning, and emphasizes the need for risk assessments.

Suzanne O: Mentions that her fourm already has rules in place that cover most of the requirements.

MySiteGuy: Argues that blocking UK users is unnecessary and that Section 230 protects US forums.

RoyalRumble: Shares experience with the AddonsLab Perspective API for content moderation.

Anthony Parsons: Finds the Perspective API add-on to be ineffective.

webbouk: Points out that the UK has "Freedom of Expression" rather than "Free Speech," with responsibilities attached.

eaststandboy: Expresses hope that the scope of the regulations will be changed to exclude smaller communities.

hdrcweb: Shares concerns about the burden of compliance for a large bike club forum.

Arantor: Notes that the legislation is published, but the guidance is still missing, and expects further revisions.

Lee: Suggests that most forums are already doing what's required, just without formal documentation.

smallwheels: Discusses challenges in defining misinformation and disinformation, as well as the business model of many platforms.

Sim: Mentions similar legislation in Australia and the challenges of age verification.

mjda: Asks about blocking UK users using Cloudflare.

rogerl: Shares links to Ofcom guidance documents and expresses concerns about age verification requirements.

Smartea: Criticizes the regulations and expresses frustration with bureaucracy.

Slavik: (XenForo moderator) States that the guidance hasn't been published yet, leading to overblown concerns.

Andylaser: Plans to create a risk assessment template and questions the definition of "small operation."

Jon12345: Expresses concern about the cost of age verification for a large forum with many dormant accounts.

Dixie McCall: Asks about the liability of US-based forums for content posted by UK members.

Summary of Actions and Suggestions:

Blocking UK Users: Some members, like ForumFan, choose to block users from the UK and EU to avoid compliance issues.

Disabling Private Messages: Several members suggest disabling or restricting private messages to mitigate risks.

Age Verification: Discussions focus on the need for "highly effective" age verification, with suggestions for third-party services and potential integration with XenForo.

Content Moderation Tools: Members discuss the use of AI-powered tools, such as the Perspective API, and suggest improvements to XenForo's reporting and moderation features.

Risk Assessments: Members emphasize the importance of conducting and documenting risk assessments, with some sharing templates and resources.

Contacting MPs: Some members suggest contacting Members of Parliament to express concerns about the impact of the regulations.

Waiting for Further Guidance: Many members adopt a "wait and see" approach, hoping for further clarification and guidance from Ofcom.

Xenforo Addons: Several addons are mentioned that may be helpful, but it is noted that none of them are complete solutions.

Overall, the forum thread reveals a mix of concern, frustration, and uncertainty among forum owners regarding the UK's Online Safety Act. While some members advocate for proactive measures, others express skepticism and resistance to the regulations, highlighting the challenges of compliance and the potential negative impact on online communities.

***

Per Page Summary:

Page 1:

lazy llama introduces the UK's Online Safety Act (OSA) and its implications for forums.

Concerns are raised about age verification, content scanning, and the burden on forum owners.

Some forums announce closures due to the regulations.

Members discuss the scope of the regulations and potential strategies for compliance.

ForumFan states they block UK and EU users due to the legal requirements.

Page 2:

Discussion continues on the potential consequences of the OSA, including arrests for online comments.

Members discuss CSAM detection and the challenges of finding affordable solutions.

The liability of forum owners for user-generated content is debated.

ForumFan reiterates their stance on free speech and blocking users from countries with restrictive laws.

alfaNova shares information from GPT about the OSA's requirements.

Page 3:

Debate continues on free speech vs. censorship, with ForumFan defending their position.

Members discuss the practicality of complying with the regulations, including corporate structures and liability.

The potential for AI-powered moderation tools is raised.

eva2000 shares a forum guideline template based on the OSA.

JamesBrown states that he sees the level of hysteria building, and compares the situation to the introduction of GDPR.

RoyalRumble shares experience with the AddonsLab Perspective API for content moderation.

Anthony Parsons finds the Perspective API add-on to be ineffective.

Page 4:

Discussion continues on the definition of "hate speech" and the challenges of moderation.

Members debate the responsibility for content in private messages.

The retroactive application of the law is questioned.

Alpha1 suggests improved functionality for reporting and moderating illegal content, including AI-based solutions.

mjda asks about blocking UK users using Cloudflare.

Page 5:

eva2000 continues to update the forum guideline template.

Members discuss the practicality of various moderation strategies, including profanity filters.

JamesBrown states that he will ignore the legislation.

Lee states that the main requirements seem to be to carry out a risk assessment and apply content moderation.

Mr Lucky states that he couldn't find where it says what you actually need to do.

Iggy states that the legislation is about money and control.

Page 6:

Members continue to debate the requirements and implications of the OSA.

Age verification services and their costs are discussed.

Slavik (XenForo moderator) states that the guidance hasn't been published yet, leading to overblown concerns.

rogerl shares links to Ofcom guidance documents and expresses concerns about age verification requirements.

Page 7:

Members continue to debate the interpretation of the regulations and the need for record-keeping.

eva2000 shares links to their forum owner's template guide and the full Act.

The practicality of complying with the complaints process is questioned.

Mr Lucky states that he has used the information from alfaNova to create an addendum to the forum rules.

Page 8:

Members discuss the challenges of defining "misinformation" and "disinformation."

The potential impact of the OSA on social media platforms with end-to-end encryption is raised.

rogerl shares a list of Ofcom guidance documents.

Arantor states that the full guidance is not yet published, and expects it to be a "total grit show".

Page 9:

Members discuss the possibility of disabling private messages as a risk mitigation technique.

lazy llama clarifies the requirements for risk assessments and nominated individuals.

The potential for disgruntled users to weaponize the regulations is raised.

smallwheels states that the requirements of GDPR led to many forums closing down.

Page 10:

ForumFan reiterates their stance on blocking EU/UK users due to GDPR and similar laws.

Members discuss the challenges of complying with GDPR and the potential for complaints.

Arantor states that he is waiting for the actual guidance to finish coming out before making any decisions.

Page 11:

eaststandboy states that there has been no update from OFCON since December.

hdrcweb states that his bike club forum may have to shut down due to the new legislation.

Alpha1 shares links to articles about Meta and Musk pushing back against the OSA.

Mr Lucky states that he can't find anywhere in the requirements that states how long a risk assessment has to be.

Page 12:

rogerl links to newly released age verification details.

Members discuss the implications of the age verification requirements and the challenges of implementing them.

chillibear shares information about age verification services and their costs.

Page 13:

Members discuss the practicality of using AI to monitor content and comply with the regulations.

Arantor clarifies that age checks are primarily for sites with adult content.

alfaNova messages a developer about the possibility of integrating content checks into an AI addon.

Page 14:

Members discuss the challenges of defining "harmful content" and the subjectivity of moderation decisions.

eaststandboy shares a link to an event explaining the Online Safety Act.

eva2000 updates their template with age check information.

smallwheels criticizes the regulations as ridiculous and impractical.

Arantor suggests that Ofcom is likely to be flexible in its enforcement.

Page 15:

ForumFan and smallwheels debate the definition of "hate speech" and the cultural differences between the US and Europe.

zappaDPJ states that they still don't know what they need to do to comply with the regulations.

Alpha1 shares links to Ofcom complaint forms.

Page 16:

Members discuss the potential for AI-powered moderation tools and the challenges of age verification.

chillibear shares information about age verification services and their costs.

Suzanne O suggests using a "working with children check" as a way of signing up to the forum.

Dixie McCall asks about the liability of US-based forums for content posted by UK members.

Mr Lucky states that there is no such thing as "word police".

Page 17:

Members continue to debate the practicality of age verification and the potential for privacy breaches.

Alpha1 shares a method for banning underage accounts until they reach adulthood.

smallwheels criticizes ForumFan's views on government and free speech.

Mr Lucky states that the main concern is the cost of reputable age verification services.

Page 18:

Members discuss the potential for using AI to scan the content of private messages.

Andylaser suggests an automated system to block users under 18 and their IP addresses.

smallwheels discusses the challenges of implementing age verification systems.

chillibear states that the main issue is age re-assurance.

Page 19:

eaststandboy shares an app that uses OpenAI to check for harmful content.

Members discuss the costs and practicality of using AI for content moderation.

zappaDPJ shares a link to an interactive tool from Ofcom to help understand compliance with the rules.

Paul B · Mar 23, 2025

tl;dr

Lee · Mar 25, 2025

Summary like this?

TCG2007 · Mar 25, 2025

I think summaries would be great but I would almost prefer to be able to summarize a single member's post in a thread. For example, we have a lot of automotive build threads on my site and being able to summarize all the OP's content would be amazing.

TCG2007 · Mar 25, 2025

Lee said:
Summary like this?

View attachment 320756

what is THIS

Alpha1 · Mar 25, 2025

Lee said:
Summary like this?

View attachment 320756

Nice! Something like that would be great.

Gemma · Mar 25, 2025

Lee said:
Summary like this?

Looks great Lee, might see if I can get someone with more brains than me to create me something similar. I could definitely use something like that in certain forums on my site.

AI generated Thread Summary, Tags, Prefix, SEO Meta, Thread cover, etc.

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