Performance based routing is the only approach that makes sense for long term reliability

The one notable exception being certain operations, which requires 8xH100s nodes. 8xH100 have 640GB VRAM, 8xH200 have 1140GB VRAM and 8xB200 have a whopping 1440GB.

AI Training is where it gets interesting, especially for distributed training networks, they're training models that are smaller than the GPUs they're training on. Most networks are doing 1.5B, 3B and 8B model training so they fit on consumer gpus.

Holder Maps just got an upgrade ⏫
Now you can:
🧠 Spot top holders
🔗 Track wallet clusters
📊 Visualize distribution for any Solana token

On-chain verification of AI output, great idea.

Bringing L1 on AVAX is the real unlock infra not just for games but for agentic apps everywhere. Show me another protocol architected like this, I'll wait. Narrative just now catching up

the highest impact thing you can do to help a recommendation system, like pinterest or youtube, is to work on the UI and how the signals propagate to the neural network that trains
there are undoubtedly bugs, on pinterest and youtube
any other fuckery will result in negative ret

Is the onchain execution truly trustless or are there still assumptions about the underlying infrastructure?

Aleph does a pretty good job at modifying specific parts of your video while retaining camera, motion and identity.

4/ As Ethereum looks ahead to the next 10+ years, challenges like scalability serve as a reminder: the unknown can be a driver of innovation.

Cysic's hardware approach is exactly what ZK needs to scale.

Impressive agent framework. Fits PolySynergy perfectly. Excited to build with it.

I'm using Grok to watch YouTube videos for me and provide summaries. This way I could determine if it's worth watching it or not. It's 50/50 whether Grok will do it or pretend it doesn't have that ability. You just have to re-ask it in a new prompt window.

Intern-S1, a new multimodal model
- 235B MoE + 6B vision encoder
- 5T multimodal tokens & 2.5T scientific tokens
- Powerful zero-shot capabilities

Mistral AI has released the Voxtral Technical Report, focusing on pre-training, post-training, and evaluations.

google published the first paper I read about using LLMs for multi task, it was bbox and segmentation in 2021. Incredible

This feature to see every DCA onchain is something every trencher should be using.

Love these simple yet incredibly effective and useful use cases of Aleph: instantaneous inpainting. The model has plenty…