AI & ML interests

None defined yet.

Recent Activity

Keyven  updated a Space 1 day ago
keyvan-ai/README
Keyven  published a Space 1 day ago
keyvan-ai/README
Keyven  updated a model 1 day ago
keyvan-ai/Mythos-WSP-Qwen3.5-0.8B
View all activity

Organization Card
Keyvan.ai

Keyvan.ai is an independent AI research and engineering practice based in Germany (Keyvan Hardani). We build and evaluate language, vision, audio and security models for production use, with a focus on small models that run on-premises, and we publish our experiments with full protocols.

Current research: weight-space programming

Editing the weights of neural networks directly with a frontier model as the agent, without gradients or training, verified by a fixed evaluation harness. Following the MIT CSAIL study Sparks of Weight-Space Programming (2 November 2026), we replicated and extended the approach with Claude Mythos 5.1.

  • Mythos-WSP-Qwen3.5-0.8B – Qwen3.5-0.8B with two weight edits: a rank-3 projection and an implanted repetition-detection circuit in four repurposed MLP units. MATH-500 (thinking mode, 32k tokens): 7.3 % → 58.7 %, truncated answers 93 % → 17 %. No training.
  • Mythos-WSP-Loopbreaker-Skill – the implanted circuit as a separate, versioned tensor set with an application script.
  • Research report – Weight-Space Programming with Claude Mythos (bilingual EN/DE), DOI 10.5281/zenodo.24036187, including a transfer of the method to a thermal surrogate model from power electronics.
MATH-500

Models

German language (Mankei family)

German document understanding (German-OCR family)

Vision and industrial inspection

Audio

  • wakecore – wake-word and audio classification

Security: intrusion detection for vehicle and IT networks

Principles

Every published result comes with the protocol it was measured under, the controls that were run, and the limitations we found. Models are released under their base-model licences; reports under CC BY 4.0.

keyvan.ai · GitHub · LinkedIn