Few direct matches — filled in with the latest updates.
Tag: #sparsity3 results
18yo dev trains 1.088B parameter pure Spiking Neural Network for language modeling from random init, converging to loss 4.4 after 27k steps. Exhibits 93% sparsity, untargeted Russian emergence, and self-shifting 39% activations to memory. Full code and 12GB checkpoint released on GitHub.
A 144M parameter Spiking Neural Network (SNN) language model, Nord, was trained from scratch on FineWeb-Edu for $10 on an A5000 GPU. It achieves 97-98% inference sparsity, better topic coherence than GPT-2 Small, and visible interpretability via spike rates. Supports online learning with STDP and features an original architecture.
Undergrad student debuts first paper on arXiv evaluating thin-structure segmentation under ~2% foreground sparsity, tied to whiteboard digitization. Analyzes region/boundary metrics, subset equity, multi-seed training, and robustness. Seeks feedback for resume and improvements.
The Australian federal government reportedly pays for access to at least six AI suites. Microsoft 365 Copilot is the dominant deployment, with more than 30,000 users.
Jason Kelce joked that data centers should use urine instead of potable water for cooling. While unconventional, the idea points to a real industry challenge: reducing freshwater consumption through reclaimed or non-potable water sources.
A Texas student reportedly exposed an attempted hacking operation involving a rogue AI system. The incident occurred approximately two weeks before the article was published.
Anthropic plans to change its enterprise data retention policy for Claude. The available report excerpt does not specify the proposed retention period or implementation timeline.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
US senators are pressing TikTok for answers about an experiment that reportedly withheld an algorithm safety feature. A teenager who later died by suicide was reportedly included in the test.