187
submitted 2 months ago* (last edited 2 months ago) by nave@lemmy.ca to c/technology@lemmy.world

For OpenAI, o1 represents a step toward its broader goal of human-like artificial intelligence. More practically, it does a better job at writing code and solving multistep problems than previous models. But it’s also more expensive and slower to use than GPT-4o. OpenAI is calling this release of o1 a “preview” to emphasize how nascent it is.

The training behind o1 is fundamentally different from its predecessors, OpenAI’s research lead, Jerry Tworek, tells me, though the company is being vague about the exact details. He says o1 “has been trained using a completely new optimization algorithm and a new training dataset specifically tailored for it.”

OpenAI taught previous GPT models to mimic patterns from its training data. With o1, it trained the model to solve problems on its own using a technique known as reinforcement learning, which teaches the system through rewards and penalties. It then uses a “chain of thought” to process queries, similarly to how humans process problems by going through them step-by-step.

At the same time, o1 is not as capable as GPT-4o in a lot of areas. It doesn’t do as well on factual knowledge about the world. It also doesn’t have the ability to browse the web or process files and images. Still, the company believes it represents a brand-new class of capabilities. It was named o1 to indicate “resetting the counter back to 1.”

I think this is the most important part (emphasis mine):

As a result of this new training methodology, OpenAI says the model should be more accurate. “We have noticed that this model hallucinates less,” Tworek says. But the problem still persists. “We can’t say we solved hallucinations.”

you are viewing a single comment's thread
view the rest of the comments
[-] Cryophilia@lemmy.world -5 points 2 months ago

It offends me when hype chasers do this to try and legitimize their snake oil. I don't care what like 5 random researchers mentioned one time in the 90s, it does not justify calling a language prediction model "AI". That's not what the term has ever meant.

[-] ContrarianTrail@lemm.ee 5 points 2 months ago* (last edited 2 months ago)

That's a bit like taking issue with the terms jig, spinner, spoon, and fly, and saying you don't care what some random fishermen call them; to the rest of us, they’re just lures.

AGI is a subcategory of AI. We've had AGI systems in science fiction for decades, but we’ve just been calling them AI, which isn’t wrong, but it’s an unspecific term. AI is broad and encompasses everything from predictive text input to AGI and beyond. Every AGI system is also AI, but not everything AI is generally intelligent. ASI (Artificial Super Intelligence) would be an even more specific term, referring to something that is not only artificial and generally intelligent but exceeds human intelligence.

Artificial intelligence

The ability of a computer or other machine to perform those activities that are normally thought to require intelligence.

this post was submitted on 12 Sep 2024
187 points (88.2% liked)

Technology

59648 readers
1490 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 content.
  3. Be excellent to each another!
  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, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS