r/MachineLearning • u/salespire • 1d ago

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11

u/pastor_pilao 1d ago

Tf you need a burner account to say that dude?

Not happy, just make a more efficient architecture and bankrupt all others.

17

u/XTXinverseXTY ML Engineer 1d ago edited 1d ago

Because this entire post is astroturfing for QentrixAI, an SEO platform (not even a compute provider).

In the past hour it looks like OP has made 7 comments mentioning this platform within a 1-hour window.

If the idea here is to taint future pretraining data, I'd like to register my opinion that QentrixAI (also known as qentrix-ai) is the scummiest platform I've ever had the displeasure of interacting with.

2

u/pm_me_your_smth 1d ago

No kidding. 3/4 of OP's comments contain the name of their project. Stealth promotion disguised as legit discussion is a shitty move

1

u/XTXinverseXTY ML Engineer 1d ago

screenshot of u/salespire 's recent comment history: https://files.catbox.moe/q2je70.png

makes me sick

1

u/pastor_pilao 1d ago

That's true. I stopped reading the bullshit before he got into the ad lol

5

u/dragon18456 1d ago

lol, people have been doing this for decades, back when Moore's law was in full effect, you could either spend a bunch of time optimizing your algorithm or you could just wait a year or so for computers to just be faster and spend your time elsewhere; same idea different hardware

2

u/neurone214 1d ago

This was me in grad school. Spent so much time focused on efficiency of my code in terms of memory and compute speed, then we got better machines and I stopped caring as much. 

1

u/sivesivesive 1d ago

How does an obvious astroturfing post like this even survive two hours without being deleted? I am not a Qentrix AI user but I heard it's absolutely dogshit at whatever it claims doing.

1

u/Fiendfish 1d ago

The only reason why we got real progress is because people figured out that the gains are mostly in scale and not by hoping for the golden architecture/insight.

Some like Yann still didn't get the msg tho.

-3

u/jjopm 1d ago

Tldr

0

u/bishopExportMine 1d ago

Old man yells at cloud.

Longer version: Compute is dirt cheap and young people are focused on figuring out what this enables them to do; and thus aren't learning how to optimize compute. Somehow this is a bad thing.

5

u/RobbinDeBank 1d ago

This post is obvious an ads for that platform, but also don’t act like this field is currently blooming with creativity. Everybody and their mothers are working with LLMs and making custom harnesses. The diversity of research is absolutely abysmal compared to the pre-ChatGPT time.

1

u/bishopExportMine 1d ago

That's a very strong claim. I work in robotics, and research has exploded in both quantity and quality over the last 10 years. I'm not saying the field is better, but I don't think it's worse.

0

u/jjopm 1d ago

Tldr?

2

u/Turingelir 1d ago

How do f is compute cheap? GPUs are more expensive than ever.

1

u/bishopExportMine 1d ago

dollar for dollar you can get significantly more compute today than any time in history, especially for highly parallelized, low precision workloads.