<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Andrey Ashgaliyev — Blog</title><link>https://ashgaliyev.com/blog/</link><atom:link href="https://ashgaliyev.com/blog/feed.xml" rel="self" type="application/rss+xml"/><description>Summaries, translations, bookmarks and the occasional photo.</description><lastBuildDate>Sat, 10 Oct 2026 12:00:00 +0000</lastBuildDate><item><title>Если ваша команда слишком занята «обычной работой», чтобы экспериментировать с ИИ, вы готовите её к замене</title><link>https://ashgaliyev.com/blog/too-busy-to-experiment-with-ai/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/too-busy-to-experiment-with-ai/</guid><pubDate>Sat, 10 Oct 2026 12:00:00 +0000</pubDate><category>ai-and-work</category><category>engineering</category><description>Джеффри Хантли — о том, почему руководителям нужно выделять время на освоение ИИ, как меняются требования к разработчикам и кого нанимать в 2026 году.</description></item><item><title>Моддинг игр с AI</title><link>https://ashgaliyev.com/blog/ai-game-modding/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-game-modding/</guid><pubDate>Fri, 02 Oct 2026 12:00:00 +0000</pubDate><category>games</category><category>generative-ai</category><description>Minecraft в Elden Ring, Человек-паук в Batman и оружие Counter-Strike в мире блоков — безумные игровые кроссоверы эпохи AI.</description></item><item><title>Создание игр</title><link>https://ashgaliyev.com/blog/game-creation/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/game-creation/</guid><pubDate>Thu, 01 Oct 2026 12:00:00 +0000</pubDate><category>games</category><category>generative-ai</category><description>Короткая подборка ресурсов о создании игр с AI — от 3D-ассетов и анимации до готовой браузерной игры.</description></item><item><title>Что теперь вообще считать операционной системой?</title><link>https://ashgaliyev.com/blog/what-even-is-an-os-now/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/what-even-is-an-os-now/</guid><pubDate>Fri, 25 Sep 2026 12:00:00 +0000</pubDate><category>personal-software</category><description>Томас Птачек — о мире, где люди создают приложения для собственных нужд с помощью ИИ, а привычная модель операционных систем и смартфонов перестаёт соответствовать реальности.</description></item><item><title>AI is removing the middle class of software engineering</title><link>https://ashgaliyev.com/blog/ai-removing-middle-class-software-engineering/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-removing-middle-class-software-engineering/</guid><pubDate>Tue, 18 Aug 2026 12:00:00 +0000</pubDate><category>engineering</category><category>ai-and-work</category><description>AI makes implementation cheap while understanding and review remain slow, increasing the value of engineers whose decisions and code can be trusted.</description></item><item><title>How solitude gives fragile ideas time to become good</title><link>https://ashgaliyev.com/blog/solitude-fragile-ideas-henrik-karlsson/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/solitude-fragile-ideas-henrik-karlsson/</guid><pubDate>Sat, 15 Aug 2026 12:00:00 +0000</pubDate><category>thinking</category><description>Henrik and Johanna Karlsson on the private mental state where original questions emerge, through the working notes of Alexander Grothendieck and Ingmar Bergman.</description></item><item><title>Superhuman AI could produce endless mathematics and still make the field worse</title><link>https://ashgaliyev.com/blog/superhuman-ai-math-could-still-stall/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/superhuman-ai-math-could-still-stall/</guid><pubDate>Thu, 13 Aug 2026 12:00:00 +0000</pubDate><category>mathematics</category><description>Daniel Litt&#x27;s deliberately pessimistic scenario for AI mathematics: papers and proofs become abundant while attention, understanding, trust, mentorship, and open exchange collapse.</description></item><item><title>Watching the solar eclipse from Dehesa Boyal</title><link>https://ashgaliyev.com/blog/solar-eclipse-dehesa-boyal/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/solar-eclipse-dehesa-boyal/</guid><pubDate>Wed, 12 Aug 2026 12:00:00 +0000</pubDate><category>dehesa-boyal</category><category>family</category><category>astronomy</category><description>I don&#x27;t remember ever watching a solar eclipse before. Maybe I did a very long time ago when I was a kid, and it just faded from my memory. Wikipedia says th…</description></item><item><title>Type it yourself: a deliberately slow workflow for AI-generated code</title><link>https://ashgaliyev.com/blog/type-it-yourself-llm-generated-code/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/type-it-yourself-llm-generated-code/</guid><pubDate>Mon, 03 Aug 2026 12:00:00 +0000</pubDate><category>engineering</category><description>Ankur Sethi uses an LLM to propose code in chat, then types every edit himself—trading maximal speed for comprehension, taste, and a durable mental map of the codebase.</description></item><item><title>AI development in 2026 is a workflow problem, not a coding problem</title><link>https://ashgaliyev.com/blog/ai-development-2026-tools-workflows-mokevnin/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-development-2026-tools-workflows-mokevnin/</guid><pubDate>Sun, 12 Jul 2026 12:00:00 +0000</pubDate><category>engineering</category><category>ai-tools</category><description>Notes from Kirill Mokevnin on the tools, workflows, metrics, and anti-patterns emerging as companies move from AI-assisted coding toward AI across the software-development lifecycle.</description></item><item><title>Saturday thunderstorm</title><link>https://ashgaliyev.com/blog/saturday-thunderstorm/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/saturday-thunderstorm/</guid><pubDate>Sat, 11 Jul 2026 12:00:00 +0000</pubDate><category>weather</category><description></description></item><item><title>AI agents are easy to demo and hard to make real</title><link>https://ashgaliyev.com/blog/ai-agents-easy-demo-hard-product-karpathy/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-agents-easy-demo-hard-product-karpathy/</guid><pubDate>Fri, 10 Jul 2026 12:00:00 +0000</pubDate><category>ai-agents</category><category>product</category><description>Andrej Karpathy on why OpenAI’s first computer-use agents failed, why model capability had to come first, and why agent builders should think in decades rather than demos.</description></item><item><title>The dead economy: when automation destroys its own customers</title><link>https://ashgaliyev.com/blog/the-dead-economy-theory/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/the-dead-economy-theory/</guid><pubDate>Fri, 10 Jul 2026 12:00:00 +0000</pubDate><category>economics</category><category>ai-and-work</category><description>Owen McGrann’s dark but useful argument that AI automation can be rational for every firm and destructive for the economy they share.</description></item><item><title>Finding your unknowns with Claude Fable</title><link>https://ashgaliyev.com/blog/finding-your-unknowns-with-claude-fable/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/finding-your-unknowns-with-claude-fable/</guid><pubDate>Mon, 06 Jul 2026 12:00:00 +0000</pubDate><category>ai-agents</category><category>engineering</category><description>Notes from Thariq&#x27;s X Article on Claude Fable, unknown unknowns, blind-spot passes, prototypes, interviews, references, implementation notes, and why agentic coding is increasingly about discovering what the human has not specified yet.</description></item><item><title>AI is getting good at math. The hard part is knowing what counts as progress</title><link>https://ashgaliyev.com/blog/ai-math-progress-grant-sanderson/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-math-progress-grant-sanderson/</guid><pubDate>Wed, 01 Jul 2026 12:00:00 +0000</pubDate><category>mathematics</category><description>Notes from Dwarkesh Patel&#x27;s conversation with Grant Sanderson on AI math progress, IMO gold, Millennium problems, conjectures, definitions, Lean, learning, and why the human bottleneck may move from proving theorems to judging which ideas matter.</description></item><item><title>Sunday walk in Dehesa Boyal</title><link>https://ashgaliyev.com/blog/dehesa-boyal-sunday-walk/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/dehesa-boyal-sunday-walk/</guid><pubDate>Mon, 29 Jun 2026 12:00:00 +0000</pubDate><category>dehesa-boyal</category><category>walks</category><description></description></item><item><title>OpenAI Codex and the new shape of product work</title><link>https://ashgaliyev.com/blog/openai-codex-new-shape-product-work/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/openai-codex-new-shape-product-work/</guid><pubDate>Mon, 29 Jun 2026 12:00:00 +0000</pubDate><category>product</category><category>ai-agents</category><description>Notes from Lenny&#x27;s Podcast with Andrew Ambrosino on Codex, cheap implementation, taste, role collapse, dogfooding, product planning, and why the future of work may look less like chat and more like a home base for delegated action.</description></item><item><title>AI as public infrastructure, not just another app</title><link>https://ashgaliyev.com/blog/ai-public-infrastructure-liberman-brothers/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/ai-public-infrastructure-liberman-brothers/</guid><pubDate>Sat, 27 Jun 2026 12:00:00 +0000</pubDate><category>ai-infrastructure</category><category>economics</category><description>Expanded notes from the Forbes interview with the Liberman brothers on AI monopolies, pension-fund capitalism, compute bottlenecks, Gonka, agents, chips, and public AI infrastructure.</description></item><item><title>Slow down to speed up: AI and software engineering</title><link>https://ashgaliyev.com/blog/slow-down-to-speed-up-ai-software-engineering/</link><guid isPermaLink="true">https://ashgaliyev.com/blog/slow-down-to-speed-up-ai-software-engineering/</guid><pubDate>Thu, 25 Jun 2026 12:00:00 +0000</pubDate><category>engineering</category><category>ai-and-work</category><description>Notes from Gergely Orosz&#x27;s talk on why AI makes code generation cheaper, but makes judgment, review, product thinking, and guardrails more valuable.</description></item></channel></rss>