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I noticed many were people were having problems finding where to voice your response to the Open Source AI Regulation request by the NTIA. I have provided a link below. Click on "comments" and provide your message.

It is important that we provide a well reasoned and thoughtful response to counter the flood of fearmongers.

Please do so as open source AI will depend upon it.

https://www.regulations.gov/document/NTIA-2023-0009-0001

This would be a good opportunity to provide a thoughtful, sane, and coherent response to voice your opinion on the future regulation policies for AI to counter the fearmongering.

How to submit a comment: https://www.regulations.gov/document/NTIA-2023-0009-0001

All electronic public comments on this action, identified by Regulations.gov docket number NTIA–2023–0009, may be submitted through the Federal e-Rulemaking Portal. The docket established for this request for comment can be found at www.Regulations.gov, NTIA–2023–0009. To make a submission, click the ‘‘Comment Now!’’ icon, complete the required fields, and enter or attach your comments. Additional instructions can be found in the “Instructions” section below, after “Supplementary Information.”

What free resources do you know on the internet that everyone should use?

Potential Category Ideas

• FOSS Software
• Quality of Life
• Public Services
• Other List of Lists
• Personal Finance
• Github Awesome Repositories
• Firefox Addons
• Free Research/Books
• Piracy Sites & Lists
• Real Life Resources

Links and Resources

• Github - Awesome
• Lemmy - What are some useful links everyone should know?
• Reddit - Mirror Post
• Wikipedia - FOSS List

What are your favorite mathematics channels/videos on YouTube?

There are tons of great videos on YT, but I'll list some resources from 3Blue1Brown's SoME3 contest if you want to discover more math explainers.

SoME3 Resources

• YouTube - 25 Math explainers you may enjoy
• YouTube - SoME3 424 Video Playlist
• 3Blue1Brown - Summer of Math Exposition (Non-videos)

This is a continuation to my original "What are the most mindblowing things in mathematics?" post.

Additional Resources

• YouTube - 3Blue1Brown Channel
• Lemmy - What are the most mindblowing things in mathematics?
• YouTube - PBS Infinite Series
• YouTube - Numberphile

It is becoming near impossible to find relevant information from search engines. Duckduckgo, SearXNG, Bing, Google, and so many more mainstream engines have a significantly high noise to signal ratio, and it is getting worse.

Here are a collection of the best search engines I know, please add more to the list.

• Forum Search Engine: https://crowdview.ai/
• Non-commercial Search: https://search.marginalia.nu/
• Libre Meta Search Engine: https://librey.devol.it/
• Golden Age Search Engine: https://www.wiby.org/
• Yandex: https://yandex.com/

If no more high quality search engines exist, would it be possible to host your own?

EDIT: Some new discoveries. The addon uBlacklist and filters can block super SEO sites from appearing in search.

• https://addons.mozilla.org/en-US/firefox/addon/ublacklist/
• https://github.com/rjaus/awesome-ublacklist
• https://github.com/NotaInutilis/Super-SEO-Spam-Suppressor

It is becoming near impossible to find relevant information from search engines. Duckduckgo, SearXNG, Bing, Google, and so many more mainstream engines have a significantly high noise to signal ratio, and it is getting worse.

Here are a collection of the best search engines I know, please add more to the list.

• Forum Search Engine: https://crowdview.ai/
• Non-commercial Search: https://search.marginalia.nu/
• Libre Meta Search Engine: https://librey.devol.it/
• Golden Age Search Engine: https://www.wiby.org/
• Yandex: https://yandex.com/

If no more high quality search engines exist, would it be possible to host your own?

EDIT: Some new discoveries. The addon uBlacklist and filters can block super SEO sites from appearing in search.

• https://addons.mozilla.org/en-US/firefox/addon/ublacklist/
• https://github.com/rjaus/awesome-ublacklist
• https://github.com/NotaInutilis/Super-SEO-Spam-Suppressor

Feel free to post multiple suggestions for different genres. For example, atmospheric, sci-fi, adventure-like, etc.

I wanted to make this post so we can share all the resources we have with each other on anything machine learning related.

Please feel free to add all of your resources as well even if they are duplicates.

PS: The best way to grow a lemmy community is to produce high quality posts.

Some ideas of things you could share:

• What people do you follow for AI? Such as on YT, Twitter, etc.
• What other social media forums provide great information?
• What GUI do you use for local LLMs?
• What parameters are "best"?
• Is there a Wiki you use?
• Where do you go to learn about LLMs/AI/Machine Learning?
• How do you find quality models?
• What Awesome github repositories do you know?
• What do you think would be useful to share?

General Information - Awesome

• Awesome-LLM: https://github.com/Hannibal046/Awesome-LLM
• Awesome Jailbreaks: https://github.com/0xk1h0/ChatGPT_DAN
• Awesome Prompts: https://github.com/f/awesome-chatgpt-prompts
• Prompt-Engineering-Guide: https://github.com/dair-ai/Prompt-Engineering-Guide
• AI Explained (Great channel for AI news): https://piped.video/channel/UCNJ1Ymd5yFuUPtn21xtRbbw
• Lex Fridman (In depth podcasts): https://piped.video/channel/UCSHZKyawb77ixDdsGog4iWA

LLM Leaderboards:

• LLM Logic Tests: https://docs.google.com/spreadsheets/d/1NgHDxbVWJFolq8bLvLkuPWKC7i_R6I6W/edit#gid=2011456595
• llm-leaderboard: https://github.com/LudwigStumpp/llm-leaderboard
• Chat leaderboard: https://chat.lmsys.org/?leaderboard
• Gotzmann LLM Score v2.4: https://docs.google.com/spreadsheets/d/1ikqqIaptv2P4_15Ytzro46YysCldKY7Ub2wcX5H1jCQ/edit#gid=0
• LLM Worksheet: https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4/edit#gid=0
• CanAiCode Leaderboard: https://huggingface.co/spaces/mike-ravkine/can-ai-code-results
• AlpacaEval Leaderboard https://tatsu-lab.github.io/alpaca_eval/
• Measuring Massive Multitask Language Understanding: https://github.com/hendrycks/test
• Awesome-LLM-Benchmark: https://github.com/SihyeongPark/Awesome-LLM-Benchmark

Places to Find Models

• Discovery the LLMs: https://llm.extractum.io/
• Open LLM Models List: https://github.com/underlines/awesome-marketing-datascience/blob/master/llm-model-list.md
• OSS_LLMs: https://docs.google.com/spreadsheets/d/1PtrPwDV8Wcdhzh-N_Siaofc2R6TImebnFvv0GuCCzdo/edit#gid=0
• OpenLLaMA: An Open Reproduction of LLaMA: https://github.com/openlm-research/open_llama
• open-llms: https://github.com/eugeneyan/open-llms

Training & Datasets

• Uncensored Models: https://erichartford.com/uncensored-models
• LLMsPracticalGuide: https://github.com/Mooler0410/LLMsPracticalGuide
• awesome-chatgpt-dataset: https://github.com/voidful/awesome-chatgpt-dataset
• awesome-instruction-dataset: https://github.com/yaodongC/awesome-instruction-dataset

There are still many more resources out there I'm sure. Please share what you use to try to keep up with the fast pace of AI development.

I hope some of my resources have helped you! I'm eager to hear what other resources are out there!

I wanted to make this post so we can share all the resources we have with each other on anything machine learning related.

Please feel free to add all of your resources as well even if they are duplicates.

PS: The best way to grow our lemmy community is to produce high quality posts.

Some ideas of things you could share:

• What people do you follow for AI? Such as on YT, Twitter, etc.
• What other social media forums provide great information?
• What GUI do you use for local LLMs?
• What parameters are "best"?
• Is there a Wiki you use?
• Where do you go to learn about LLMs/AI/Machine Learning?
• How do you find quality models?
• What Awesome github repositories do you know?
• What do you think would be useful to share?

General Information - Awesome

• Awesome-LLM: https://github.com/Hannibal046/Awesome-LLM
• Awesome Jailbreaks: https://github.com/0xk1h0/ChatGPT_DAN
• Awesome Prompts: https://github.com/f/awesome-chatgpt-prompts
• Prompt-Engineering-Guide: https://github.com/dair-ai/Prompt-Engineering-Guide
• AI Explained (Great channel for AI news): https://piped.video/channel/UCNJ1Ymd5yFuUPtn21xtRbbw
• Lex Fridman (In depth podcasts): https://piped.video/channel/UCSHZKyawb77ixDdsGog4iWA

LLM Leaderboards:

• LLM Logic Tests: https://docs.google.com/spreadsheets/d/1NgHDxbVWJFolq8bLvLkuPWKC7i_R6I6W/edit#gid=2011456595
• llm-leaderboard: https://github.com/LudwigStumpp/llm-leaderboard
• Chat leaderboard: https://chat.lmsys.org/?leaderboard
• Gotzmann LLM Score v2.4: https://docs.google.com/spreadsheets/d/1ikqqIaptv2P4_15Ytzro46YysCldKY7Ub2wcX5H1jCQ/edit#gid=0
• LLM Worksheet: https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4/edit#gid=0
• CanAiCode Leaderboard: https://huggingface.co/spaces/mike-ravkine/can-ai-code-results
• AlpacaEval Leaderboard https://tatsu-lab.github.io/alpaca_eval/
• Measuring Massive Multitask Language Understanding: https://github.com/hendrycks/test
• Awesome-LLM-Benchmark: https://github.com/SihyeongPark/Awesome-LLM-Benchmark

Places to Find Models

• Discovery the LLMs: https://llm.extractum.io/
• Open LLM Models List: https://github.com/underlines/awesome-marketing-datascience/blob/master/llm-model-list.md
• OSS_LLMs: https://docs.google.com/spreadsheets/d/1PtrPwDV8Wcdhzh-N_Siaofc2R6TImebnFvv0GuCCzdo/edit#gid=0
• OpenLLaMA: An Open Reproduction of LLaMA: https://github.com/openlm-research/open_llama
• open-llms: https://github.com/eugeneyan/open-llms

Training & Datasets

• Uncensored Models: https://erichartford.com/uncensored-models
• LLMsPracticalGuide: https://github.com/Mooler0410/LLMsPracticalGuide
• awesome-chatgpt-dataset: https://github.com/voidful/awesome-chatgpt-dataset
• awesome-instruction-dataset: https://github.com/yaodongC/awesome-instruction-dataset

There are still many more resources out there I'm sure. Please share what you use to try to keep up with the fast pace of AI development.

I hope some of my resources have helped you! I'm eager to hear what other resources are out there!

What concepts or facts do you know from math that is mind blowing, awesome, or simply fascinating?

Here are some I would like to share:

• Gödel's incompleteness theorems: There are some problems in math so difficult that it can never be solved no matter how much time you put into it.
• Halting problem: It is impossible to write a program that can figure out whether or not any input program loops forever or finishes running. (Undecidablity)

The Busy Beaver function

Now this is the mind blowing one. What is the largest non-infinite number you know? Graham's Number? TREE(3)? TREE(TREE(3))? This one will beat it easily.

• The Busy Beaver function produces the fastest growing number that is theoretically possible. These numbers are so large we don't even know if you can compute the function to get the value even with an infinitely powerful PC.
• In fact, just the mere act of being able to compute the value would mean solving the hardest problems in mathematics.
• Σ(1) = 1
• Σ(4) = 13
• Σ(6) > 10^10^10^10^10^10^10^10^10^10^10^10^10^10^10 (10s are stacked on each other)
• Σ(17) > Graham's Number
• Σ(27) If you can compute this function the Goldbach conjecture is false.
• Σ(744) If you can compute this function the Riemann hypothesis is false.

Sources:

• YouTube - The Busy Beaver function by Mutual Information
• YouTube - Gödel's incompleteness Theorem by Veritasium
• YouTube - Halting Problem by Computerphile
• YouTube - Graham's Number by Numberphile
• YouTube - TREE(3) by Numberphile
• Wikipedia - Gödel's incompleteness theorems
• Wikipedia - Halting Problem
• Wikipedia - Busy Beaver
• Wikipedia - Riemann hypothesis
• Wikipedia - Goldbach's conjecture
• Wikipedia - Millennium Prize Problems - $1,000,000 Reward for a solution

An Internet Portal is an information hub connecting you a much wider portion of the internet.

For example:

• Wikipedia's Content Portal: https://en.wikipedia.org/wiki/Wikipedia:Contents/Portals
• Github's List of Awesome: https://github.com/topics/awesome
• Wikipedia's List of list of lists: https://en.wikipedia.org/wiki/List_of_lists_of_lists
• Wikipedia Internet Forums List: https://en.wikipedia.org/wiki/List_of_Internet_forums

What Internet Portals do you know of that you would like to share?