this post was submitted on 09 Aug 2026
23 points (81.1% liked)

Technology

87417 readers
3849 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
23
ARC-AGI-3 news: In the past two weeks multiple groups have scored at least 99% on the public challenges at relatively low costs. (arcprize.org)
submitted 1 week ago* (last edited 1 week ago) by brianpeiris@lemmy.ca to c/technology@lemmy.world
5 comments fedilink hide all child comments
 

The top three solutions come from independent researchers. The best solution was built by a group of PhDs and professors, who released a corresponding paper. They all make use of some form of world-model.

I've generally been a skeptic, and I still am, but this news surprised me because I expected ARC-AGI-3 to remain difficult for a long while.

Note that the scores are self-reported and need to be independently verified. The solutions have not been tested against the larger private test set.

Primer on ARC-AGI-3:

ARC-AGI-3 is an interactive reasoning benchmark which challenges AI agents to explore novel environments, acquire goals on the fly, build adaptable world models, and learn continuously.

A 100% score means AI agents can beat every game as efficiently as humans.

Instead of solving static puzzles, agents must learn from experience inside each environment—perceiving what matters, selecting actions, and adapting their strategy without relying on natural-language instructions.

you are viewing a single comment's thread
view the rest of the comments
[–] eestileib@sh.itjust.works 4 points 1 week ago

We are getting closer to AGI the way the harmonic series gets closer to infinity.