CoderSupreme

joined 2 years ago

Mine too but I don't want to spend the time adapting it for every thing I use so I'm willing to compromise.

 

Is there also a way to find out which are the most popular dark themes besides slant.co and reddit.com ?

 

For example, I know that sites like duck.ai let you use LLMs for free, but they limit input to 16,000 characters, so you can't actually leverage models like Llama 4 Scout, which supposedly has a 10 million token context window. Are there any platforms or tools (preferably without a paywall or input cap) where I could use models with context windows in the millions, as advertised? Or are all the free tools similarly restricted by much smaller limits?

https://eqbench.com/creative_writing.html

[–] CoderSupreme@programming.dev 2 points 2 months ago (1 children)

I'm asking how to browse reddit on a reddit community. Where else would I ask?

 

Have you ever wondered why so many religions share themes of death, resurrection, and renewal? One fascinating connection lies in the Sun and its behavior during the winter solstice.

Around December 21, the Sun reaches its lowest point in the sky (in the Northern Hemisphere) and appears to "stand still" for three days. Then, on December 25, it begins to rise higher again, marking its "rebirth." Ancient cultures noticed this phenomenon and interpreted it as the death and resurrection of the Sun—a powerful symbol of hope and renewal.

This solar cycle influenced many religious traditions. For example:

  • Pagan Religions: Sun worship was central to many pre-Christian belief systems. Festivals like Saturnalia celebrated the return of light after the darkest days of winter.
  • Mithraism: Followers of Mithras, a god associated with the Sun, celebrated his birth on December 25, symbolizing light's triumph over darkness.
  • Christianity: Early Christians adopted similar themes. Jesus' resurrection after three days mirrors this solar pattern. He is even referred to as the "Sun of Righteousness" (Malachi 4:2) and "the light of the world." Coincidence? Maybe not.

The symbolic "three days" is also worth noting. Across cultures, three days often represent transformation or renewal—whether it's Jesus in the tomb or the Sun's pause before its upward journey.

It’s fascinating (and a bit ironic) how much modern religions owe to ancient astronomical observations. The Sun’s predictable cycles became a powerful metaphor for life, death, and rebirth—one that still resonates today, even if its origins are rooted in natural phenomena rather than divine intervention.

What do you think? Are these parallels just coincidence, or do they reveal how human beings have always looked to the cosmos for meaning? Let’s discuss!

[–] CoderSupreme@programming.dev 4 points 8 months ago* (last edited 8 months ago)

In an auditorium with everyone shouting you don't get to hear anything. In Twitter you get to see what you want instead of what most people want like on reddit and Lemmy. I much prefer that to other people deciding for me. At least that way I can see something other than shitposts and US politics.

[–] CoderSupreme@programming.dev 12 points 8 months ago

It's venture capital. Eventually it will stop being open source and will enshitify just like every other platform. So nothing is changing long term in my opinion.

 

I remember using an app that blocked spam calls using a collaborative database. The one I use now is Truecaller, but it's always trying to get me to subscribe. I liked the one I used before better. What is the best caller ID app that can block spam that you know about?

 

Imagine being able to travel back in time and have a conversation with your younger self. What words of wisdom or advice would you share? What experiences or lessons learned would you want them to know about?

 

The ones I buy contain lemon for preservation, but I don't like the acidic taste of lemon in tomato sauce.

[–] CoderSupreme@programming.dev 1 points 9 months ago* (last edited 9 months ago) (1 children)

Oh, so it’s mostly a side effect, but they are still primarily being trained to predict the next word.

[–] CoderSupreme@programming.dev 2 points 9 months ago* (last edited 9 months ago)

And the only solution to the dead internet theory is scanning our eyeballs for Worldcoin. There doesn’t seem to be any non-dystopian timelines in our future.

 

I've been reading about recent research on how the human brain processes and stores memories, and it's fascinating! It seems that our brains compress and store memories in a simplified, low-resolution format rather than as detailed, high-resolution recordings. When we recall these memories, we reconstruct them based on these compressed representations. This process has several advantages, such as efficiency, flexibility, and prioritization of important information.

Given this understanding of human cognition, I can't help but wonder why AI isn't being trained in a similar way. Instead of processing and storing vast amounts of data in high detail, why not develop AI systems that can compress and decompress input like the human brain? This could potentially lead to more efficient learning and memory management in AI, similar to how our brains handle information.

Are there any ongoing efforts in the AI community to explore this approach? What are the challenges and benefits of training AI to mimic this aspect of human memory? I'd love to hear your thoughts!

[–] CoderSupreme@programming.dev 1 points 9 months ago* (last edited 9 months ago)

I agree, but that might complicate things. Instead of votes we could also use time spent reading posts as the engagement metric.

How about something like this?

Quality Engagement Score (QES)

QES = (PCM * AVU) / MAU, where:

  • PCM = Posts + Comments per Month
  • AVU = Average Votes per User (total monthly upvotes / MAU)
  • MAU = Monthly Active Users

PCM measures raw activity, while AVU factors in community approval.

[–] CoderSupreme@programming.dev 0 points 9 months ago* (last edited 9 months ago) (3 children)

I appreciate your perspective, but my focus is on enhancing our measurement of community activity; if you have a more effective metric in mind, I’d love to hear it instead of just pointing out flaws.

 

Hey fellow Lemmings,

I've been thinking about how we measure the liveliness of our communities, and I believe we're missing the mark with Monthly Active Users (MAU). Here's why I think Posts + Comments per Month (PCM) would be a superior metric:

Why PCM is Better Than MAU

  1. Quality over Quantity: MAU counts lurkers equally with active participants. PCM focuses on actual engagement.

  2. Spam Resistance: Creating multiple accounts to inflate MAU is easy. Generating meaningful posts and comments is harder.

  3. True Reflection of Activity: A community with 1000 MAU but only 10 posts/comments is less vibrant than one with 100 MAU and 500 posts/comments.

  4. Encourages Participation: Displaying PCM could motivate users to contribute more actively.

  5. Easier to Track: No need for complex user tracking. Just count posts and comments.

Implementation Ideas

  • Show PCM in the community list alongside subscriber count
  • Display PCM in each community's sidebar
  • Use PCM for sorting "hot" communities

What do you think? Should we petition the Lemmy devs to consider implementing this? Let's discuss!

[–] CoderSupreme@programming.dev 1 points 9 months ago

There are 16M comments per day according to the observer website.

[–] CoderSupreme@programming.dev 4 points 9 months ago* (last edited 9 months ago) (5 children)

30k communities and 9M posts per day. I find the number of posts per day very hard to believe. Each community would have an average of 300 posts per day, and most communities are abandoned. Maybe it's the bot communities that repost all the Reddit posts that inflate the number so high.

 

Yeah because first of all, content had to be spread out across 562826 different communities for no reason other than that reddit had lots of communities, after growing for many many years. It started with just a few.

Then 99% of those were created on Lemmy.world, and every new user was directed to sign up at Lemmy.world.

I guess a lot of people here are younger than me and didn’t experience forums, but we had like 30 forum channels. That was enough to talk about anything at all. And I believe it’s the same here, it would have been enough. And then all channels would have easy to find content.

source

Hey everyone! I'm curious about the number of communities on Lemmy and the activity levels within them. Specifically, is there a reliable source where I can check the total number of communities and the average number of posts per month? It seems like the number of communities might be quite high, but I wonder how low the post activity is across most of them. Any insights or links to resources would be greatly appreciated!

 

I often find myself browsing videos on different invidious instances or posts on various lemmy instances, and I would love to be able to create a "watch later" list or a "favorite" list that works across all of them. I don't want to have to manually import and export these lists between different instances, either, like I have to do on lemmy, invidious, etc.

I'm currently using a single bookmarks folder to keep track of everything, but I don't like this because it's a mess. I'd like to be able to create two or three different lists for different groups of websites, so that I can easily find what I'm looking for. For example, a favorite list for reddit, tumblr, etc, another favorite list and a watch for later list for invidious instances, and other lists for other sites.

Is there any way to achieve this? I'm open to using browser extensions, third-party apps, or any other solutions that might be out there. I would prefer a free solution, but I'm willing to consider paid options as well.

A bookmark can only exist in one folder at a time, whereas I want to be able to add a single item to multiple lists (e.g., both "favorites" and "watch later").

I believe the closest to what I'm looking for are Raindrop.io, Pocket, Wallabag, Hoarder, etc.

https://github.com/hoarder-app/hoarder?tab=readme-ov-file#alternatives

I use Manjaro Linux and Firefox.

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