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QSignAI is a production-deployed open-source platform that combines quantum randomness from a Toeplitz two-source extractor with an AI bot on Telegram to generate unique identity signatures, demonstrating a bidirectional relationship between artificial intelligence and quantum science.
This paper analyzes the variance of FID scores across different training and sampling seeds, revealing significant reproducibility issues in image generation evaluation. It proposes a new evaluation protocol with error bars and per-cell optimal guidance tuning.
A technical blog post exploring randomness, Linux entropy, and building a tool called morerandom that uses WASM plugins to feed the system entropy pool.
Researchers at ETH Zurich have demonstrated a method for generating 'perfect randomness' using entangled superconducting qubits, a breakthrough with implications for cryptography and secure communications.
An article exploring the philosophical and practical meaning of randomness, using lava lamps as a metaphor for entropy generation in computing.
Debunks common myths about /dev/urandom and /dev/random, explaining that /dev/urandom is the preferred source of cryptographic randomness on Unix-like systems.
This paper investigates whether probabilistic calibration in language models can be improved through fine-tuning, comparing soft-target and hard-target methods across 12 models. The results show that calibration is a trainable capability, though gains sometimes reduce downstream arithmetic reasoning capabilities.
The paper introduces Diamond Attention, a method for multi-agent reinforcement learning that uses structured randomness to break symmetry and enable role differentiation among homogeneous agents, achieving perfect coordination in symmetric tasks like the XOR game.