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FLAIR launches embodied AI validation hub in Hong Kong

FLAIR, under the Hong Kong Productivity Council, launched Hong Kong's first Embodied AI International Applications Hub for training, validation and real-world deployment of humanoid robotics. The hub initially brings together seven technology partners and eight international scenarios to move embodied AI from lab to industrial scale.

Vietnam Investment Review - VIR ·

ICLR Reviewer Laments Desk Rejections

A reviewer spent four hours reviewing an ICLR paper and scored it 3/4, only to learn it was desk rejected. The poster says many colleagues face similar outcomes and has heard of people using multiple accounts to bypass the 20-paper limit, with their papers then desk rejected.

r/MachineLearning ·

Reflection releases 501B open model Beam

New US lab Reflection released Beam, its first open model, on Hugging Face. The MoE model has 501B total parameters (23B active per token), a 1M-token context window, and an Apache 2.0 license. Aimed at coding and agentic use, it has day-0 support in transformers, SGLang and vLLM plus a Rust harness.

Hugging Face Blog ·

Chico State students protest Cal State's $13M OpenAI contract

About 12 Chico State students protested the California State University system's renewed $13 million-a-year OpenAI contract, which gives campuses access to ChatGPT Edu. Protesters said most students don't use the tool and demanded that faculty and students be consulted. The rally was part of a week of anti-AI actions and followed Gov. Gavin Newsom's call for public input on AI policy.

mynspr.org ·

Researcher Without Institution Seeks arXiv Endorsement for VELM Paper

An independent researcher says he invented VELMs (validated expert language models), combining small pretrained models with hot-swappable LoRA expert modules and a validator toolchain, with a whitepaper posted online. Because arXiv and ResearchGate require endorsers or reviewers, he is asking on Reddit for published researchers to endorse the paper or join as co-author.

r/MachineLearning ·

Data scientist seeks resources for production-grade Python

A data scientist with strong stats and ML fundamentals asked r/MachineLearning for resources on writing production-grade Python. They can build well-tuned models but work only in Jupyter notebooks and struggle to understand their team's productionized, highly organized repo.

r/MachineLearning ·
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