/Tech4h ago

Robotics startup founder Yacine argues that most public reinforcement learning research borders on fraud

Open-source developer Joseph Suarez supported the critique.

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Original post
kache@yacineMTB#487inTech

the vast majority of public RL research is so bad it's borderline fraud

8:05 AM · Jun 10, 2026 · 11.5K Views
Sentiment

Many users agreed the vast majority of public RL research is borderline fraud and extends to nearly all arXiv papers or fields like SWE, while some noted similar quality issues in dev tooling and TTS models.

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75.0%
Neg
25.0%
8 comments with sentiment.
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@yacineMTB You think you've seen how bad it is, but you've only scratched the surface

kache@yacineMTB

the vast majority of public RL research is so bad it's borderline fraud

2hViews 1KLikes 21Bookmarks 1
Cosmo@cosmojg

@yacineMTB this is true of almost everything published on http://arXiv.org

3hViews 99Likes 4Bookmarks 1

I can pretty much say the same about dev tooling... And about TTS models, and any sub-problem I'm trying to solve I have to go through 3-5-10 half-assed solutions that are either abandoned, not designed properly, or just straight harmful to look at 🤣

And pretty much everywhere you start digging into with certain goal, there's slop on slop on slop. Just things aren't being good in general. And you notice this, and you can't help but just ask "why are people like this".

E.g. for agents it's markdown slop on markdown slop on skills.md slop... I just can't... And people are adding stars for this slop🤣Goddamit.

I'm just flabbergasted at the attempts to build tooling around agents using the worst possible ideas, like... nobody is even thinking about problems... they wanna just extract value and leave/abandon project asap.

There are exceptions of course. Making something useful is hard. I'm like 2 months into idea and all I have is poorly coded 10k LoC demo and around 250 specs that's it. But this is waaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaay better than some projects out there with 50k...200k stars. I know GitHub have a star economy fraud/business but to be this bad? Man...

At least I see some traction, this is interesting metric. 0 stars but someone is cloning it, and trying out I guess. This is all I need really to keep going.

3hViews 146Bookmarks 1
Illuminati@allseeingeye

@cosmojg @yacineMTB too few people understand that arxiv papers are published with no peer review 😔

3hViews 8Likes 1Bookmarks 1
Esa@esa_was_taken

@yacineMTB don't wake them up it's the only way i have a chance

4hViews 233
vladusatii_@vladusatii

@yacineMTB What if we made a public board where we can post open problems in RL/CS broadly defined, have problems reviewed by other internet academics, and then the stuff that has the most "dude thats never been done before" gets open-source papers written and voted on. DM me if cool idea

3hViews 83Likes 2
justin@foooorsyth

@yacineMTB This is every field

4hViews 83Likes 2

@yacineMTB Yes, they are not using Pufferlib like they should

4hViews 142Likes 1
sankalp@dejavucoder

@yacineMTB why you say so

4hViews 340
sam@s392781a243729m

@yacineMTB exxxxxxactly

4hViews 72Likes 1
Michael Thiessen@MichaelThiessen

@yacineMTB I feel the same about SWE research.

80% is stuff we were doing 12 months ago and is so behind.

3hViews 71Likes 1
TrueStandard@truestandardai

@yacineMTB which specific rl papers are you seeing this level of fraud in?

4hViews 159
a Tony@arealhumantony

@yacineMTB

4hViews 79
Jordy De Silentio@JordyDeSilentio

@yacineMTB This is rampant everywhere. Thank the H1B and immigrant system.

3hViews 37
Frank O'Connor@HusbandOfAyn

@jsuarez @yacineMTB You defending your thesis was the natural starting point of a RL revolution.

Still pissed at Ari K. for not muting his mic.

2hViews 10Likes 1
Mike@1nterlandi

@yacineMTB what about comma/openpilot?

2hViews 4
Hari krishna Sharma@iamharikrishna1

@esa_was_taken @yacineMTB what u mean? what u learning

4hViews 4
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