149.9K members. The best post we have captured here reached 512 upvotes, which works out to 3 per 1,000 members.
Open r/machinelearningnews on Reddit ↗
The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
The biggest posts we have captured here. Links go to the original on Reddit.
Bragging never dies. Also interesting stat.
Text In AI-Generated Images Just Got Better
Forbes article cites new study showing proof that DeepSeek used 74% of data from OpenAI to train its models.
This is the new outpainting capability of Dall-E 2 🔥🔥🔥🔥🔥
Amazing Updates to Midjourney AI
Google DeepMind Finds a Fundamental Bug in RAG: Embedding Limits Break Retrieval at Scale
Andrej Karpathy Releases ‘nanochat’: A Minimal, End-to-End ChatGPT-Style Pipeline You Can Train in ~4 Hours for ~$100
I built a visual drag-and-drop ML trainer (no code required). Free & open source.
Adobe Illustrator Has Entered The AI Game
LLMs No Longer Require Powerful Servers: Researchers from MIT, KAUST, ISTA, and Yandex Introduce a New AI Approach to Rapidly Compress Large Language…
Within four times the member count either way, so the comparison is fair. Sorted by upside.
ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.
Start free →Every figure here is what ViralHunt has captured from r/machinelearningnews, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.