The common thread I’ve seen online is this:

• Google’s search algorithm sucks. I always append reddit.com to get good forum results
• Reddit’s search algorithm sucks.

These two tools are quickly becoming coupled for Google-Fu expert users. The historical forum history that goes back 3-5 years on Reddit is their goldmine. You can’t just make a new subreddit overnight when a sub gets paywalled. All of that historical data will be lost and paywalled.

I think a paywall could be an effective money maker for Reddit because they’ve basically become their own Google - in that each subreddit acts like a unique website with real, human, responses. The only problem is that reddit has a god awful search algorithm that they refuse to improve. So people use Google to essentially search reddit. The “whales” so-to-speak are the only people they need to capture. People like myself (frugal people) aren’t in their peripherals. But the people that think “I’ll pay each month for NYT” or “it’s just a few dollars for the WSJ” are going to use the same logic for Reddit: “it’s a small amount of money to have access to high quality forums on X, Y, and Z”.

In addition, this might bolster Reddit’s content even further. Since paywalled subs will automatically reduce the amount of AI content spammed on them, they will inherently increase the legitimacy of each forum.

Lastly, this will give them a path towards monetization for moderators which doesn’t require them skimming off of their own pay checks to achieve it.

Do I like this? No. Is this fair? Also no. People contributed to Reddit under the impression that their data would be available and accessible to anyone with an Internet connection. That implicit guarantee is being violated. It’s an afront to the hard working individuals that have developed these communities brick by brick.

But does this “solution” make a lot of business sense? Possibly. As long as they survive the changeover in the short term, I think they’ll thrive from this choice for the reasons I stated above.

Again, it’s going to give them a pathway for:

• Monetization
• Reduce AI spam (a big fear of all forums)
• They could make even more money off the back of this

I’m pretty much over Reddit anyways. Lemmy has been my backup social media for a while now. The Internet is still free - for now. I just hope we can all find better search engines and forums in the future. Google has been degrading. Reddit has been locking things down. We obviously need to pivot to other platforms. Or maybe just go back to the old days where you find niche forums hosted by some dude in his basement. Nothing wrong with that.

Well I’m guessing they actually did testing on local AI using a 4GB and 8GB RAM laptop and realized it would be an awful user experience. It’s just too slow.

I wish they rolled it in as an option though.

I think it makes sense. I like ChatGPT and I appreciate having easy access to it. What I really wish is the option to use local models instead. I realize most people don’t have machines that can tokenize quickly enough but for those that do…

Why didn’t you like Hashicorps Vault? I want to know for my own edification.

Obviously don’t pet service dogs. Just to be clear. This photo was intentionally photoshopped to make it appear as though the airport was saying “Travel Advisory: when traveling don’t pet dogs”. As in, when in the UK never touch a dog. I thought it was funny/cutesy. I didn’t intend on sparking a big debate about the ethics of petting dogs or the rules about service dogs.

Don’t touch service dogs.

Pet dogs if you know them or are introduced to them.

Basic dog rules people. Teach your children

How do they prove your age? Non-technical savvy people probably just give their kids a phone and don’t do much to lock it down.

It’s Gerrymandering. That’s the answer to the question: why?

Nah it’s literally a waste of physical resources. Crypto currency is a waste of fossil fuels. AI has its functions at least.

Yeah the majority do it and I think it’s bad.

Thermostats are easy to change out. So this isn’t a huge deal. But I don’t love the idea that tech isn’t built to be self-hosted or maintained in any meaningful way. If you’re not shipping an open source version of your software when you close up, you’re an asshole.

Yeah, self hosting isn’t for most lay people if it’s just a GitHub repo. But GitHub repos quickly become adopted by nerds like me who build tooling around it that eventually let lay people self host software with the click of a button.

That rich mofo was born in a manger and had three kings visit him. Plus I don’t trust zombies.

I think this article does a good job of asking the question “what are we really measuring when we talk about LLM accuracy?” If you judge an LLM by its: hallucinations, ability analyze images, ability to critically analyze text, etc. you’re going to see low scores for all LLMs.

The only metric an LLM should excel at is “did it generate human readable and contextually relevant text?” I think we’ve all forgotten the humble origins of “AI” chat bots. They often struggled to generate anything more than a few sentences of relevant text. They often made syntactical errors. Modern LLMs solved these issues quite well. They can produce long form content which is coherent and syntactically error free.

However the content makes no guarantees to be accurate or critically meaningful. Whilst it is often critically meaningful, it is certainly capable of half-assed answers that dodge difficult questions. LLMs are approaching 95% “accuracy” if you think of them as good human text fakers. They are pretty impressive at that. But people keep expecting them to do their math homework, analyze contracts, and generate perfectly valid content. They just aren’t even built to do that. We work really hard just to keep them from hallucinating as much as they do.

I think the desperation to see these things essentially become indistinguishable from humans is causing us to lose sight of the real progress that’s been made. We’re probably going to hit a wall with this method. But this breakthrough has made AI a viable technology for a lot of jobs. So it’s definitely a breakthrough. I just think either I finitely larger models (of which we can’t seem to generate the data for) or new models will be required to leap to the next level.

I like playing newer games which all require pretty beefy rigs. I have a weak GPU so I can’t play most new games but it does make me sad.

Rittenhouse was invited to speak at Wednesday’s event by the university’s Turning Point USA (TPUSA) chapter. Founded in 2012, the non-profit promotes conservative politics at schools and college campuses.

I feel like that would be a great idea!

500+ people for a videogame is insane. That’s kind of cool - despite the problems they faced. I feel like these games don’t reflect the number of people being hired for them. I’m not sure it should linearly scale (probably not), but they seem like they scale down rather than up with an increase in staff.

I feel like modern producers are missing the forest for the trees. Games are not successful for being infinitely large. Skyrim is small by today’s standards. So is Oblivion. So are hundreds of other contemporary indie games that have captured the hearts of thousands.

It’s not about more content. It’s about content that feels deeper. Depth over breadth. Baldurs Gate 3 proves that out. I don’t think you can expect these large groups of 500 people to all work towards a deeper game without major changes in roles. I’m no expert by any means, but I am a software engineer with some side-hobby game development experience. I think games are flat because mechanics aren’t growing with the power. We’re getting graphics, dialogue, and places. But the places aren’t any more “deep” than 5 years ago. The dialogue isn’t more interesting. The graphics are nice - but hardly why people buy games. I want to capture the “anything is possible” feeling when I hop into a game. BG3 recaptured that illusion for me for a long time.

/Rant

TL;Dr developers can’t throw more bodies at this problem. It’s an artistic and structural problem. They need to reframe how they create the art. It can’t be mass produced without ending up flat.

I guess I’ll be holding onto my Toyota 2004 Camry until the day I die.

I hate this kind of sneaky behavior. I hope GM and/or LexisNexis gets torn asunder during the civil litigations. Google has had this data for years… I must assume they aren’t providing it to insurance companies yet.

(͡•_ ͡• )