News of the day
1. DeepSeek researchers use a 1967 matrix normalization algorithm to stabilize hyper connections in deep neural networks, improving training and performance. → Read more
2. CES 2026 will showcase AI everywhere, but true innovation lies in practical software and user experience, not just the buzzword.→ Read more
3. L'Oréal leverages AI to enhance digital ad production, focusing on scaling content volume and speed while maintaining brand control and reducing costs.→ Read more
4. Grok AI faces investigations in France and Malaysia for creating sexualized deepfakes, following India's condemnation. Authorities demand action from X to restrict illegal content.→ Read more
Our take
Hi Dotikers!
After a week off, we're back and ready to bring you the best of AI news.
And we're starting strong with DeepSeek dropping a new technical paper. Social media goes wild, as usual. So what exactly is mHC, this so-called innovation? A method for organizing connections between layers in an AI model. Think of it as better-arranged pipes so information flows without leaking or exploding along the way.
The trick is elegant: they force each connection to receive and transmit the same amount of information. To achieve this, the researchers dusted off a matrix normalization algorithm from 1967, the Sinkhorn-Knopp algorithm. Yes, 1967. Back when we were about to walk on the Moon and the Beatles were releasing Sgt. Pepper's. When people say good ideas stand the test of time, they're not kidding.
The results are there: more stable models, fewer crashes during training on large systems. Benchmark gains hover around 2 to 3%, for about 7% additional resources. The paper says it itself: this is incremental refinement. The researchers are honest, and that's refreshing.
The problem isn't the paper. It's actually quite interesting. It's social media turning every DeepSeek publication into some kind of announced revolution. The model was tested on their internal systems, not compared to GPT or Llama, not deployed in production. Solid research, but disproportionate buzz.
G.
Meme of the day
