---
title: "Dylan Hogg (@dylanhogg) | Hashnode"
description: "ML, AI, Maths, Software and the future. Read the latest articles by Dylan Hogg on Hashnode."
url: "https://hashnode.com/@dylanhogg"
---

@dylanhogg

# Dylan Hogg

@dylanhogg · Sydney, Australia · Joined September 2026

ML, AI, Maths, Software and the future.

### [Why AI automated maths early, and how mathematicians are reacting](https://infocruncher.hashnode.dev/why-ai-automated-maths-early?utm_source=hashnode&utm_medium=feed)

How mathematicians responded to OpenAI's October 2026 maths release, and what their responses suggest about the order in which AI automates different kinds of work. 1. Why AI automated maths early In

9 min read · [infocruncher.hashnode.dev](https://infocruncher.hashnode.dev/why-ai-automated-maths-early?utm_source=hashnode&utm_medium=feed)

[Oct 12](https://hashnode.com/posts/why-ai-automated-maths-early/6accd2bf50f656ff9197c6ff)

### [Static embeddings: a practical guide to model2vec](https://infocruncher.hashnode.dev/practical-guide-to-model2vec?utm_source=hashnode&utm_medium=feed)

Sentence-transformer embeddings work well, but they are slow on a CPU. For a few thousand texts, the speed doesn't matter. When you embed millions of texts, or need embeddings within a tight latency b

8 min read · [infocruncher.hashnode.dev](https://infocruncher.hashnode.dev/practical-guide-to-model2vec?utm_source=hashnode&utm_medium=feed)

[Sep 25](https://hashnode.com/posts/practical-guide-to-model2vec/6ab5dcb4e7fbb1e913b733eb)

### [Open alternatives to Jev](https://infocruncher.hashnode.dev/open-alternatives-to-jev?utm_source=hashnode&utm_medium=feed)

The open System One models you can run yourself Jev is a week old and has been hard to avoid since launch. TypeSafe's "System One" model is built to be called by software. You post one state plus a ma

33 min read · [infocruncher.hashnode.dev](https://infocruncher.hashnode.dev/open-alternatives-to-jev?utm_source=hashnode&utm_medium=feed)

[Sep 23](https://hashnode.com/posts/open-alternatives-to-jev/6ab39098ccd3f40836d6fa2e)

### [Lecture summary: Trends in AI by Jeff Dean](https://infocruncher.hashnode.dev/lecture-summary-trends-in-ai-by-jeff-dean?utm_source=hashnode&utm_medium=feed)

Jeff Dean, Chief Scientist for Google Research and Google DeepMind presents his talk "Important Trends in AI: How Did We Get Here, What Can We Do Now, and Where are We Headed?" as part of the Princeto

11 min read · [infocruncher.hashnode.dev](https://infocruncher.hashnode.dev/lecture-summary-trends-in-ai-by-jeff-dean?utm_source=hashnode&utm_medium=feed)

[Sep 23](https://hashnode.com/posts/lecture-summary-trends-in-ai-by-jeff-dean/6ab32e96e9c3c80f473386fb)

### [Embedding model dimensions for image search: what the published evidence shows](https://infocruncher.hashnode.dev/embedding-model-dimensions-for-image-search-what-the-published-evidence-shows?utm_source=hashnode&utm_medium=feed)

Publicly published results suggest that embedding vectors often add cost without meaningfully improving image-search quality, so smaller dimensions are worth evaluating. 1. Two common assumptions abou

14 min read · [infocruncher.hashnode.dev](https://infocruncher.hashnode.dev/embedding-model-dimensions-for-image-search-what-the-published-evidence-shows?utm_source=hashnode&utm_medium=feed)

[Sep 23](https://hashnode.com/posts/embedding-model-dimensions-for-image-search-what-the-published-evidence-shows/6ab3277d55c4c2e0b287824c)