September 2025

Jakub and Szymon

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AI has gotten remarkably better in recent years; ChatGPT can do amazing things that we take for granted. This is as it should be, and is the story of human progress. But behind the blinking circle, nicely abstracted away, is the greatest story of human ingenuity I have ever seen. A lot of people have worked unbelievably hard to discover how to build something that most experts thought was impossible on this timeframe, and to build a company […]

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Joscha Bach: How a Spiritual Worldview Explains Consciousness

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Josha Bach reinterprets animism through the lens of computer science as “cyber animism,” where life itself is self-organizing software—spirit as code—running on biological hardware. This living software grants organisms agency, coherence, and experience, revealing that the ancient intuition of a world alive may have been technically correct all along.

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Simplifying book discovery with ML-powered visual autocomplete suggestions

Simplifying book discovery with ML-powered visual autocomplete suggestions

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Simplifying book discovery with ML-powered visual autocomplete suggestions Audible’s ML algorithms connect users directly to relevant titles, reducing the number of purchase steps for millions of daily users. Search and information retrieval Mao Sheng Liu Zelin Li Gemma Comellas September 02, 11:29 AM September 02, 11:48 AM Every day, millions of customers search for books in various formats (audiobooks, e-books, and physical books) across Amazon and Audible. Traditional keyword autocomplete suggestions, while helpful, usually require several steps before […]

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Pierre Teilhard de Chardin: Reflections on the Scientific Probability and the Religious Consequences of an Ultra-Human

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Evolution as a cosmic drama: matter rising through life into reflective humanity, converging toward a planetary mind. Teilhard says this “ultra-human” destiny fuses science and spirit, where God is not above but ahead—emerging as love at the core of creation, and igniting the world into a conscious fire.

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What exactly does word2vec learn?

What exactly does word2vec learn?

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What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. In our new paper, we finally provide such a theory. We prove that there are realistic, practical regimes in which the learning problem reduces to unweighted least-squares matrix […]

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