Crazy Guy on a Bike

Source: The Adventures of Blake | Tags: bike, self-reflection, travel | Published: 2026-04-16 | Novelty: 47%

The author describes their journey cycling from Worcester to Boston, reflecting on the challenges and choices they are making during a bike trip across New England. They discuss balancing personal goals with social media promotion, questioning whether their decisions are driven by a desire for validation or a genuine commitment to lifestyle advocacy as outlined in their book 'The Crazy Guy on a Bike.'

Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

Source: Simon Willison's Weblog | Tags: ai-models, benchmark, illustration | Published: 2026-04-16 | Novelty: 41%

The article compares illustrations of pelicans and flamingos riding bicycles generated by Qwen3.6-35B-A3B and Claude Opus 4.7, with Qwen3.6 emerging as the winner due to its more accurate depiction. The author suggests that while these benchmarks may not accurately reflect model capabilities, they can be useful for specific tasks like generating illustrations.

AI-generated synthetic neurons speed up brain mapping

Source: The latest research from Google | Tags: ai, connectomics, neuroscience, synthetic-neurons | Published: 2026-04-14 | Novelty: 37%

Google Research developed MoGen, a Neuronal Morphology Generation model that uses PointInfinity point cloud flow matching to create synthetic neuronal shapes. Integrating these synthetic neurons into the training pipeline of their AI reconstruction model PATHFINDER reduced reconstruction errors by 4.4%, equivalent to saving 157 person-years of manual proofreading for a complete mouse brain map. This represents the first use of modern generative AI in connectomic reconstruction and showcases potential for further improvements.

The PR you would have opened yourself

Source: Hugging Face - Blog | Tags: model-porting, open-source, skill, test-harness | Published: 2026-04-16 | Novelty: 31%

The article introduces a Skill and test harness designed to help port models from the transformers library to mlx-lm, an open-source project. The Skill, developed with Claude Code, handles much of the heavy lifting, producing high-quality PRs that reviewers can easily verify. Notable features include per-layer comparisons between transformers and MLX implementations, and a non-agentic test harness to ensure reproducibility and accuracy.

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AI cybersecurity is not proof of work ]( http://antirez.com/news/163 )

Source: | Tags: ai, cybersecurity, models, proof-of-work | Published: 2026-04-16 | Novelty: 30%

The article argues that AI cybersecurity will not rely on the 'more GPU wins' model of proof-of-work but instead prioritize better models and faster access to them. It uses the OpenBSD SACK bug as an example, noting that even running a weak model for an infinite number of tokens cannot find the true issue due to its inability to understand the underlying problem, whereas stronger models hallucinate less and thus are less likely to claim there is no bug when one exists.

datasette.io news preview

Source: Simon Willison's Weblog | Tags: claude, datasette, preview, yaml | Published: 2026-04-16 | Novelty: 30%

The article describes the development of a custom preview UI for editing news.yaml files on datasette.io, which simplifies error checking and showcases how changes will appear on the homepage. This tool leverages Claude's capabilities to clone repositories and render content.

datasette 1.0a27

Source: Simon Willison's Weblog | Tags: api, datasette, sqlite | Published: 2026-04-15 | Novelty: 26%

Datasette 1.0a27 introduces several enhancements, including the removal of Django-style CSRF form tokens and the introduction of a new RenameTableEvent that triggers when a table is renamed during a SQLite transaction. Notable changes also include a new actor= parameter for datasette.client methods to facilitate automated tests, and improvements in handling temporary databases to avoid locking issues.

Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

Source: Hugging Face - Blog | Tags: embeddings, finetuning, multimodal, reranking, sentence-transformers | Published: 2026-04-16 | Novelty: 24%

The article showcases how task-specific finetuning on a 2B model outperforms an 8B general-purpose model for visual document retrieval, with the best performance maintained down to truncated embeddings of 512 dimensions. Notable code includes using Matryoshka training to create multi-dimensional models and finetuning cross-encoder rerankers for multimodal tasks.

datasette-export-database 0.3a1

Source: Simon Willison's Weblog | Tags: datasette, release | Published: 2026-04-15 | Novelty: 17%

This beat by Simon Willison discusses the release of datasette-export-database version 0.3a1, highlighting a new feature or improvement not specified in the brief excerpt.