AI-Powered Tools for Everyday Life
At artifocial, we create intelligent apps that make your daily routines smarter, simpler, and more productive. Start with Alarmly, our smart alarm clock that doesn't just wake you up—it prepares you for your day.

Featured App
Meet Alarmly
The smart alarm clock that doesn't just wake you up—it prepares you for your day.

- Morning Briefings
- Wake up informed with AI-generated briefings about your day ahead.
- Voice Commands
- Set alarms naturally using voice. Just say what you need.
- Smart Assistant
- Chat with your morning assistant for motivation and information.
- Reliable Alarms
- Never miss a wake-up call with our intelligent alarm system.
Latest Video
AI Insights & Tutorials
Stay updated with the latest AI news, research papers, and practical tutorials.
Meta Is Back: Inside Muse Spark and the $14B Alexandr Wang Bet | AI News | 2026 Apr 6-12
This week we surveyed the post-transformer architecture landscape for physical AI — state space models (Mamba, S4), recurrent revivals (RWKV, xLSTM), long convolutions (Hyena), and equivariant networks (EGNN, EquiCaps) — and argued that the frontier is already hybrid. We broke down ViT's patch tokenization trick and showed why it's both brilliant and fundamentally limiting for 3D and streaming tasks. On the news side: Meta re-entered the frontier race with Muse Spark under Alexandr Wang's Superintelligence Labs, Anthropic launched Project Glasswing to contain Claude Mythos Preview's cyber capabilities, OpenAI told investors to expect $100B in ad revenue by 2030, MiniMax released a self-evolving agent model (M2.7) under an open-weight (non-commercial) license, and NVIDIA's National Robotics Week opened GR00T N1.7 for commercial licensing. Our W15 beyond-transformers series: - Beyond Attention trend tutorial: https://artifocial.com/blog/post-transformer-architectures-2026-apr-09 - ViT explained: https://artifocial.com/blog/vit-explained-2026-apr-10 - Spatial Architectures: https://artifocial.com/blog/spatial-architectures-landscape-2026-apr-12 - NB 00 — SSM vs. Attention: https://github.com/artifocial/tutorials/blob/main/2026-W15/00_ssm_vs_attention.ipynb - NB 01 — Equivariant vs. Standard: https://github.com/artifocial/tutorials/blob/main/2026-W15/01_equivariant_vs_standard.ipynb
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