this post was submitted on 21 May 2025
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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,,,"

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[–] Jakeroxs@sh.itjust.works 3 points 20 hours ago (1 children)

Advanced Reasoning models came out like 4 months ago lol

[–] msage@programming.dev 3 points 19 hours ago (2 children)

Advanced reasoning? Having LLM talk to itself?

[–] theterrasque@infosec.pub 2 points 10 hours 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 0 points 19 hours ago* (last edited 19 hours ago) (1 children)

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

[–] technocrit@lemmy.dbzer0.com -1 points 17 hours ago* (last edited 17 hours 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 16 hours 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 16 hours 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. 🤷‍♂️