928
Lay them on me
(slrpnk.net)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 23 Mar 2024
928 points (98.7% liked)
Lemmy Shitpost
27166 readers
3085 users here now
Welcome to Lemmy Shitpost. Here you can shitpost to your hearts content.
Anything and everything goes. Memes, Jokes, Vents and Banter. Though we still have to comply with lemmy.world instance rules. So behave!
Rules:
1. Be Respectful
Refrain from using harmful language pertaining to a protected characteristic: e.g. race, gender, sexuality, disability or religion.
Refrain from being argumentative when responding or commenting to posts/replies. Personal attacks are not welcome here.
...
2. No Illegal Content
Content that violates the law. Any post/comment found to be in breach of common law will be removed and given to the authorities if required.
That means:
-No promoting violence/threats against any individuals
-No CSA content or Revenge Porn
-No sharing private/personal information (Doxxing)
...
3. No Spam
Posting the same post, no matter the intent is against the rules.
-If you have posted content, please refrain from re-posting said content within this community.
-Do not spam posts with intent to harass, annoy, bully, advertise, scam or harm this community.
-No posting Scams/Advertisements/Phishing Links/IP Grabbers
-No Bots, Bots will be banned from the community.
...
4. No Porn/Explicit
Content
-Do not post explicit content. Lemmy.World is not the instance for NSFW content.
-Do not post Gore or Shock Content.
...
5. No Enciting Harassment,
Brigading, Doxxing or Witch Hunts
-Do not Brigade other Communities
-No calls to action against other communities/users within Lemmy or outside of Lemmy.
-No Witch Hunts against users/communities.
-No content that harasses members within or outside of the community.
...
6. NSFW should be behind NSFW tags.
-Content that is NSFW should be behind NSFW tags.
-Content that might be distressing should be kept behind NSFW tags.
...
If you see content that is a breach of the rules, please flag and report the comment and a moderator will take action where they can.
Also check out:
Partnered Communities:
1.Memes
10.LinuxMemes (Linux themed memes)
Reach out to
All communities included on the sidebar are to be made in compliance with the instance rules. Striker
founded 2 years ago
MODERATORS
Nah, nobody talks about LLMs. If I approached an average, everyday person about this topic, 99% of them wouldn't know shit about it, while the tech-nerds all would.
It's not mainstream at alllll yet. I introduced a pair of people I game with to openai/gpt3.5 like...a week ago and they were absolutely beside themselves using it.
What I mean is that "back in my day" there were maybe 10 people in the world seriously investigating strong AI
I know some people doing old-school logic-based AI research. They're happy because there's more AI funding in general, and they can present themselves as "what neural networks are missing" or "the next big thing". Or they come up with projects involving hybrid systems.
Symbolic AI? Pretty sure a combo of that and ML would be needed. Pure ML is too unreliable and have limited coherence, and nobody knows how to program useful symbolic AI from scratch. But if you combine them they can cover each other's weak spots.
That's unlikely. What's more likely is that you were not yet exposed to AI research and did not read through the academic reviews and articles of the time. AI is a serious topic in science and engineering since more than half a century.
I was reading papers daily, and there was progress but even in the field of symbolic ai the focus was on weak ai, a range of approaches that try to solve single problems. They were trying to find marketable techniques, not looking for the sparkle of intelligence. Then big data came and people started specialising in techniques that were also useful for ml, and boom.
I remember when Google started running classifiers backwards for the first time to produce the very first generation of generative ML. Very small crowd following it closely.