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Muyang Volunteer Application System is a tool built by an individual developer with zero coding experience in half a day. Based on three years of historical admission data for colleges and majors, it provides score matching, cutoff prediction, and recommendations for safe, stable, and reachable schools. It is open-sourced on GitHub.
A Twitter thread sharing 10 lessons learned from working at startups, emphasizing thoughtful prioritization, data-driven decisions, and customer focus.
Conno Christou, a data-driven founder, was diagnosed with a rare aggressive lymphoma after a chance discovery. He used his quantitative approach—including AI-powered health tracking—to gather multiple medical opinions and choose the most effective treatment, treating his chemotherapy like a startup marathon.
Lerobot SO-101 is a framework that transforms robot learning from messy lab magic into a clean, reproducible software pipeline, enabling structured data collection, policy training, and deployment, similar to what PyTorch did for deep learning.
A measured 7.8% productivity gain from AI across hundreds of engineers contradicts the 10x hype, with many gains fading, fueling backlash over benefits not being shared with workers.
This paper presents a scalable heterogeneous graph neural network workflow for data-driven optimal power flow surrogate modeling, using distributed training on supercomputers and demonstrating improvements via fine-tuning pretrained models.
This article presents treating ARPG buildcraft as a compiler pipeline, where authored content is compiled into runtime data to avoid special-case code for skill-support interactions, using Zig-based examples.
Judea Pearl argues that there are mathematical limitations to learning solely from data, citing the inability to infer causation from correlation. The article prompts discussion on whether pure data-driven learning is sufficient.
This paper introduces Data-Driven Variational Basis Learning (DVBL), a non-neural framework that learns basis functions directly from data through variational optimization, offering interpretability and mathematical transparency compared to neural networks.
Adomate is a product that helps turn data into winning ads at scale.
Holiday Extras, a European travel extras provider, is using AI to build a data-driven and efficient culture, addressing challenges like multilingual marketing and improving data fluency across technical and non-technical teams.