this post was submitted on 19 Sep 2026
220 points (81.2% liked)

Technology

88183 readers
2582 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots

founded 3 years ago
MODERATORS
L3s@lemmy.world
enu@lemmy.world
technopagan@lemmy.world
L4s@lemmy.world
L3s@hackingne.ws
220
AI staff 'genuinely frightened' for humanity's future, ex-Anthropic researcher tells BBC (www.bbc.com)
submitted 2 days ago* (last edited 2 days ago) by Return_of_Chippy@lemmy.world to c/technology@lemmy.world
250 comments fedilink hide all child comments
 

I'm not an AI techie and I'm not well educated on LLMs/AI in general. The issue I'm having is the dichotomy between how people talk about it. I've heard completely opposite ends of the spectrum. From AI is quickly becoming advanced enough to threaten human society, all the way to its a glorified dictionary/search engine that can't really do much of anything. I know Lemmy has a steep anti-AI slant. But, can someone talk about this in a way I can wrap my head around why the divide seems so big?

you are viewing a single comment's thread
view the rest of the comments
[–] DrunkenPirate@feddit.org 1 points 1 day ago

Fraction of costs for deployment (no heavy safety, no design phase, less weight and momentum), overall costs, different gripper, train a new use case in around 4,000 hrs video material.

Think of it as a progression of collaborative robots such as cobot Sawyer. And for most new use case, you don’t need millimeter accuracy, high payload or speed to answer your potential remarks.

It most likely will move into a sort of dual-arm humanoid for stationary use cases (such as Jaka K1). Mobile will likely specialize to fit use cases (wheel, legs)