5.5K members. The best post we have captured here reached 375 upvotes, which works out to 69 per 1,000 members.
Open r/newAIParadigms 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.
The biggest posts we have captured here. Links go to the original on Reddit.
Richard Sutton launches Oak Lab - "Our holy grail: A trillion-parameter agent that learns and plans in real-time with 20 watts of energy"
The Hope architecture: Google's 1st serious attempt at solving continual learning
Transformer Co-Inventor: "There are already architectures that have been shown in the research to work better than Transformers. But to replace such …
Neuroscientists uncover how the brain builds a unified reality from fragmented predictions
A "new" way to train neural networks could massively improve sample efficiency: Backpropagation vs. Prospective Configuration
LeWorldModel, the first breakthrough from Yann LeCun’s new lab aiming to unlock the JEPA architecture
New AI architecture SpikingBrain delivers promising results as an alternative to Transformers
DeepMind veteran David Silver raises $1B, bets on radically new type of Reinforcement Learning to build superintelligence
Neuroscientist: The bottleneck to AGI isn’t the architecture. It’s the reward functions: a small set of innate drives that evolution wired to learned…
Ilya on the mysterious role of emotions and high-level desires in steering the brain's learning
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/newAIParadigms, 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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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.