Wonder how the survey was sent out and whether that affected sampling.

Regardless, with -3-4k responses, that’s disappointing, if not concerning.

I only have a more personal sense for Lemmy. Do you have a source for Lemmy gender diversity?

Anyway, what do you think are the underlying issues? And what would be some suggestions to the community to address them?

hm, I think I’ve been doing it wrong then …

someone should make an alternate history tv show where the ship made it. bonus if it’s of a parody kind.

If you suspect that it’s been modified, try going to places like the internet archive or archivetoday to check. The claims you’ve made seem big, so back them up with sources.

Daredevil (the design and music is sick) and The Morning Show (the animation is very captivating to me)

If you’re not already aware, take a look at tree pod burial, depending on country/states.

for example, look at https://www.greenmatters.com/p/tree-pod-burials

this article from the same site lists the availability in different states in US: https://www.greenmatters.com/sustainable-living/what-states-allow-green-burials

sounds like a missing episode of iZombie.

what are the other alternatives to ENV that are more preferred in terms of security?

yeah I guess maybe the formatting and the verbosity seems a bit annoying? Wonder what the alternatives solution could be to better engage people from mastodon, which is what this bot is trying to address.

edit: just to be clear, I’m not affiliated with the bot or its creator. This is just my observation from multiple posts I see this bot comments on.

I’m curious, why is this bot currently being downvoted for almost every comment it makes?

Thanks for the suggestions! I’m actually also looking into llamaindex for more conceptual comparison, though didn’t get to building an app yet.

Any general suggestions for locally hosted LLM with llamaindex by the way? I’m also running into some issues with hallucination. I’m using Ollama with llama2-13b and bge-large-en-v1.5 embedding model.

Anyway, aside from conceptual comparison, I’m also looking for more literal comparison, AFAIK, the choice of embedding model will affect how the similarity will be defined. Most of the current LLM embedding models are usually abstract and the similarity will be conceptual, like “I have 3 large dogs” and “There are three canine that I own” will probably be very similar. Do you know which choice of embedding model I should choose to have it more literal comparison?

That aside, like you indicated, there are some issues. One of it involves length. I hope to find something that can build up to find similar paragraphs iteratively from similar sentences. I can take a stab at coding it up but was just wondering if there are some similar frameworks out there already that I can model after.

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In short, there is no way to see everything, and there is no one true view

I thought viewing on the browser without logging in may show everything? Is that not true?

this is an interesting story but for those who prefer to read, here the article linked in the video description:

https://thefourth.media/apartments/

I also ran this through smmry to summarize. Below is the result:

The Apartments With No Entrance A shady land sale has left the residents of Sea Park Apartments locked in a decades-long land dispute, with no control over their own homes.

These apartments are “Enclosed” in more ways than one: The original developer of the apartments sold the apartment’s carpark and common areas - which surround the apartment blocks - to an individual, leaving residents in the unusual position of having their homes completely encircled by someone else’s private land.

Built in the 70s and completed in the early 80s, Sea Park Apartments is one of the earliest apartments in Petaling Jaya, if not the earliest, constructed at a time when most residential developments in the area still involved landed properties.

This meant residents had no way to access their homes without first trespassing on private property, and no control over the common facilities sited on that private land.

The individual who purchased the disputed lands is Yap Say Tee, who once managed a hotel owned by the developer, and was earlier approached by the developer to manage the car park at Sea Park Apartments.

With the developer’s sale of these lands to Yap, the rules of the game changed: The developer is no longer the registered owner of the disputed lands nor responsible for addressing the remonstrations of the residents, which reached a peak in 2013.

With the facilities on private land, access road on private land, the property value will go down, and residents will have no agency.

I’m quoting the page that I linked from privacyguides warning

These messengers do not have Forward Secrecy, and while they fulfill certain needs that our previous recommendations may not, we do not recommend them for long-term or sensitive communications. Any key compromise among message recipients would affect the confidentiality of all past communications.

Based on privacyguides suggestion page itself, SimpleX chat would be the next in line you can try.

Briar is only for Android AFAIK. Matrix/Element does offer E2EE chat/vid but, based on the page, it’s not recommended for long term sensitive use.

Regardless, with the current situation against encryption, any app that stays will be subject to similar conundrum about leaving/abiding the law like Signal. The ones abiding may need more scrutiny, of course.

I think many have also been wondering about version control of legislation/law documents for some time as well. But I never understand why it’s not realized yet.