this post was submitted on 21 May 2025
299 points (96.9% liked)

Technology

70268 readers
3981 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 2 years ago
MODERATORS
L3s@lemmy.world
enu@lemmy.world
technopagan@lemmy.world
L4s@lemmy.world
L3s@hackingne.ws
L4s@hackingne.ws
299
We did the math on AI’s energy footprint. Here’s the story you haven’t heard. (www.technologyreview.com)
submitted 2 days ago by kalkulat@lemmy.world to c/technology@lemmy.world
148 comments fedilink hide all child comments
 

Absolutely needed: to get high efficiency for this beast ... as it gets better, we'll become too dependent.

"all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,,,"

you are viewing a single comment's thread
view the rest of the comments
[–] Jakeroxs@sh.itjust.works 2 points 2 days ago (1 children)

Advanced Reasoning models came out like 4 months ago lol

[–] msage@programming.dev 4 points 2 days ago (2 children)

Advanced reasoning? Having LLM talk to itself?

[–] theterrasque@infosec.pub 2 points 2 days ago

Yes, which has improved some tasks measurably. ~20% improvement on programming tasks, as a practical example. It has also improved tool use and agentic tasks, allowing the llm to plan ahead and adjust it's initial approach based on later parts.

Having the llm talk through the tasks allows it to improve or fix bad decisions taken early based on new realizations on later stages. Sort of like when a human thinks through how to do something.

[–] Jakeroxs@sh.itjust.works -1 points 2 days ago* (last edited 2 days ago) (1 children)

Lul yes but no, but they are clearly better at many types of tasks.

[–] technocrit@lemmy.dbzer0.com 0 points 2 days ago* (last edited 2 days ago) (2 children)

For example? Citations?

Pretty sure these "tasks" are meaningless metrics made up by pseudo-scientific grifters.

[–] IsaamoonKHGDT_6143@lemmy.zip 3 points 2 days ago

AlphaFold 3 which can help in the prediction of some proteins. Although it has some limitations, it cannot be used in all cases, only in what it can perform without any problem.

[–] Jakeroxs@sh.itjust.works 3 points 2 days ago

Small bits of code, language related tasks, basic context understanding, not metrics I have literally measured simply noticed has improved compared to non reasoning models in my homelab testing. 🤷‍♂️