Open-sourced ml-intern, Hugging Face's autonomous ML research agent that reads papers, curates data, trains, evaluates, and iterates across science, medicine, and math. Abstract: Hugging Face's ml-intern is an open-source autonomous ML research agent that reads papers, curates datasets, trains on local or cloud GPUs, evaluates results, and iterates improvements. Built on smolagents with CLI and web interfaces, it navigates arXiv/HF Papers, HF Hub, and HF Jobs. Demonstrations span science, medicine, and mathematics, showing end-to-end automation and performance gains.

Korea’s Toss Payments becomes the first company to fully implement post-quantum cryptography, using the NIST-standard algorithm "ML-KEM" to enable hybrid key exchange and enhance security against threats from quantum computers.

IBM researchers collaborate with Signal and Threema to design quantum-resistant messaging systems. Cryptographer Ethan Heilman points out that the quantum risk faced by encrypted messaging platforms is higher than that of Bitcoin. Signal has launched the PQXDH upgrade, Threema is exploring NIST standard ML-KEM algorithms, and they are also focusing on metadata protection.