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#rsi#self#agi#why#better#optimization#anyone#point#ais#revolutionary

Discussion (15 Comments)Read Original on HackerNews

gilfoyle_74 minutes ago
I might be wrong but is this really a solution for RSI? I interpret it's as a way to reducing wasted tokens and compute on paths that don't yield better results. It's an optimization. It's a faster way to get to RSI though. what's wrong?
DanMcInerney7 minutes ago
I ended up building a simplified version of this as /self-improve in https://github.com/DanMcInerney/orchflows. History is the state ledger, memory and RSI just cite the history as evidence and can be rewritten. I feel like strong immutable state is the missing piece of the puzzle for most of these memory libraries.
rybosworldabout 1 hour ago
Unless I'm misunderstanding, calling this RSI seems misleading?

This looks like an optimization of current training methods, and a good one, but not "RSI" in the sense of a system that can perpetually improve itself forever.

jephs4 minutes ago
Yeah, this is absolutely not what anyone reasonable is thinking about when they say recursive self-improvement.

I'd say it's much closer to the concept of continual learning, but I'm only a few pages deep and haven't groqued it fully yet.

EthanHeilman11 minutes ago
Does RSI actually mean anything specific anymore? RSI, AGI, at this point seem like buzzwords. Sure AGI has definition that are measurable, say "better than 95% of humans on 95% of intellectual tasks" but if we used that definition we already have AGI and almost no one thinks we have achieved AGI. We use AIs to train AIs which we use to train AIs, why is that not RSI? How much human intervention means that is not RSI?
yanis_tabout 2 hours ago
Would be very glad if anyone explained to me if and why this is revolutionary.
lantryabout 1 hour ago
Here you go:

"Across algorithm engineering, mathematical optimization, and GPU kernel engineering, Dream-RSI achieves competitive or improved discovery quality while substantially reducing discovery cost in several settings."

dgellowabout 1 hour ago
Why would you assume it is revolutionary?
catigula11 minutes ago
Because “recursive self-improvement” is widely understood, even at labs, as having a non-trivial chance of eradicating human life.

This is like asking why a paper called “I discovered God. This is the specific proof.” is revolutionary. Just tedious levels of incredulity.

WarmWashabout 1 hour ago
Probably isn't by virtue of it being publicly released
cmrdporcupineabout 1 hour ago
Fairly certain all the labs are doing this (RSI) at this point. It's a question of how public their proclamations are about it and how they're positioning PR etc.

Even today's lighter weight models know how to write kernels and optimize them. I've had DeepSeek 4.1 Flash tune the crap out custom CUDA kernels on my own codebase and it was entirely competent at it. And cheap.

The innovation pieces will be in the harnesses to support this. Which I guess is partially what's going on here.

suddenlybananasabout 1 hour ago
It's not really RSI if you are just using the AI as a tool to help make it better. It has to be doing it itself, no? Otherwise self-hosted compilers are RSI.
cmrdporcupineabout 1 hour ago
That's my point about the harness.
logicallee39 minutes ago
This is a solid and very interesting paper! The authors were kind enough to publish the complete prompt for it (appendix B.1 on page 18), so anyone can try their approach with any LLM and see the results.
smusamashah17 minutes ago
So its more like a harness (like Codex etc) on top of any existing LLM?