andyjohnson0
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I'm a developer. I have a basic working knowledge of classic neural networks. I'd like to learn about genetic algorithms. What books should I be reading? I prefer dead-tree, but pdf suggestions too please.
- Reckoning with the Political Economy of AI (arxiv.org)
- Why People Get the 'Sunday Scaries' (theatlantic.com)
- Supercollider (supercollider.github.io)
- Overview Effect (en.wikipedia.org)
- Ten Months with Copilot Coding Agent in Dotnet/Runtime (devblogs.microsoft.com)
- The Shape of the Thing (oneusefulthing.org)
- Global biodiversity loss, ecosystem collapse and national security [pdf] (assets.publishing.service.gov.uk)
- The Field Guide to Design Futures (designfutures.guide)
- Why won't my team use agents? Meditations on AI agent adoption (12gramsofcarbon.com)
- A Positive Sign for Flying in the Future (fallows.substack.com)
- Oracle's AI Bet Is Facing Its First Stress Test (profgmarkets.com)
- What's the Deal with Birds? [pdf] (chm.bris.ac.uk)
- Oracle shares slide on $15B increase in data center spending (arstechnica.com)
- Shutdown Resistance in Reasoning Models (palisaderesearch.org)
- Agent mode has arrived in preview for Visual Studio (devblogs.microsoft.com)
- Wikihistory (reactormag.com)
- Electromagnetism as a Purely Geometric Theory (iopscience.iop.org)
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I'm a developer - primarily .NET on Windows. I've recently started a new job which, although a senior dev role, is also requiring more Windows IT knowledge than I anticipated: domains, Active Directory, security, group…
- A curious tendency among Western philosophers? (crookedtimber.org)
- A User's Guide to Restructuring the Global Trading System [pdf] (hudsonbaycapital.com)