I think AI training is way more accessible than people realize

Reddit r/artificial / 5/24/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis

Key Points

  • The author argues that AI training has become more accessible because many people can rent GPUs and use existing AI tools to run experiments.
  • They claim that some users rely on AI tools to find datasets without thoroughly inspecting data quality or contents, which leads to poor training outcomes.
  • The piece criticizes the practice of feeding random internet data into training, warning that it burns compute and produces unreliable or nonsensical results.
  • The author highlights limitations of AI-assisted dataset search, such as token limits, access limits, and incomplete context, yet notes that users still place blind trust in the output.

What i have felt from my posts cus its all about AI so :-

now it feels like almost everyone just rents some GPUs, opens a bunch of AI tools, and tries to train an AI using another AI People even use AI to search for datasets for them without actually checking what’s inside the data.

Then they throw random datasets straight into training and wonder why the results are terrible while burning money on compute. A lot of people just want quick answers from a model trained on random internet garbage instead of understanding the data first.

The funniest part is when the AI helping them find datasets can’t even properly read or understand the full dataset itself because of token limits, access limits, or incomplete context, but people still trust it blindly and keep feeding everything into training. So instead of building something useful they just end up generating random nonsense because nobody actually looked at the quality of the data going in.

submitted by /u/Raman606surrey
[link] [comments]