<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Generative Futures, essays &amp; podcasts</title><description>Generative Futures explores the political economy of AI, how democratic societies can steer technology toward a progressive future, instead of being steered by it. Essays and podcasts by Phil Bell.</description><link>https://generativefutures.app/</link><language>en-GB</language><item><title>The radicalism of Positive Alignment</title><link>https://generativefutures.app/posts/the-radicalism-of-positive-alignment/</link><guid isPermaLink="true">https://generativefutures.app/posts/the-radicalism-of-positive-alignment/</guid><description>Positive Alignment makes human flourishing a technical target for AI, breaking from RLHF&apos;s revealed-preference logic. Radical, but does it go far enough?</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>positive alignment</category><category>AI alignment</category><category>RLHF</category><category>human flourishing AI</category><category>revealed preferences AI</category><category>AI safety political economy</category><author>Phil Bell</author></item><item><title>Why LLMs can&apos;t count</title><link>https://generativefutures.app/posts/why-llms-cant-count/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-llms-cant-count/</guid><description>LLMs fail at counting and arithmetic because their architecture pattern-matches rather than reasons. Three technical reasons why, and why chain-of-thought won&apos;t fix it.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><category>why LLMs can&apos;t count</category><category>LLM arithmetic limitations</category><category>System 1 System 2 LLM</category><category>transformer counting failures</category><category>over-squashing</category><category>representational collapse</category><author>Phil Bell</author></item><item><title>Who is building the agent economy?</title><link>https://generativefutures.app/posts/who-is-building-the-agent-economy/</link><guid isPermaLink="true">https://generativefutures.app/posts/who-is-building-the-agent-economy/</guid><description>The AI agent economy&apos;s communication, payment and identity layers are being built right now by rival US and Chinese actors, with a closing window for democratic governance.</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate><category>AI agent economy</category><category>agentic commerce</category><category>Model Context Protocol</category><category>Agent2Agent protocol</category><category>agent payments AP2 x402</category><category>US China AI infrastructure</category><author>Phil Bell</author></item><item><title>How is AI changing our experience of Time?</title><link>https://generativefutures.app/posts/how-is-ai-changing-our-experience/</link><guid isPermaLink="true">https://generativefutures.app/posts/how-is-ai-changing-our-experience/</guid><description>Could AI be the antidote to social media? Nicklas Berild Lundblad on AI as a temporal mediator between human biological time and machine computational time.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate><category>AI and time</category><category>biological vs computational time</category><category>AI temporal mediator</category><category>AI antidote to social media</category><category>autonomy-enhancing technology</category><category>Nicklas Berild Lundblad</category><author>Phil Bell</author></item><item><title>Why is AI shale-shaped?</title><link>https://generativefutures.app/posts/why-is-ai-shale-shaped/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-is-ai-shale-shaped/</guid><description>AI isn&apos;t inevitable, it&apos;s shale-shaped. How GPUs, cheap fracked gas and quantitative easing, not technical optimality, locked in the transformer-scaling paradigm.</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>why is AI shale-shaped</category><category>AI material contingency</category><category>transformers GPU hardware lottery</category><category>shale gas AI energy</category><category>quantitative easing AI funding</category><category>sociotechnical lock-in</category><author>Phil Bell</author></item><item><title>Can Europe Catch Up on AI? with Carl Frey</title><link>https://generativefutures.app/posts/can-europe-catch-up-on-ai-with-carl/</link><guid isPermaLink="true">https://generativefutures.app/posts/can-europe-catch-up-on-ai-with-carl/</guid><description>Carl Benedikt Frey on why progress isn&apos;t inevitable, how institutions shape tech cycles, and whether Europe&apos;s fragmented service markets can catch up on AI.</description><pubDate>Thu, 12 Feb 2026 00:00:00 GMT</pubDate><category>can Europe catch up on AI</category><category>Carl Benedikt Frey</category><category>political economy of technology</category><category>progress is not inevitable</category><category>Europe AI competitiveness</category><category>automation vs enabling technology</category><author>Phil Bell</author></item><item><title>What are Generative Futures?</title><link>https://generativefutures.app/posts/what-are-generative-futures/</link><guid isPermaLink="true">https://generativefutures.app/posts/what-are-generative-futures/</guid><description>AI&apos;s future isn&apos;t inevitable. Generative Futures explains why technologies are malleable, not determined, and how democratic choices can steer AI toward progress.</description><pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate><category>techno-determinism</category><category>political economy of AI</category><category>malleable technology</category><category>future of AI work</category><category>Daron Acemoglu AI</category><category>progressive AI futures</category><author>Phil Bell</author></item><item><title>The Age of Emergency - With Jonathan White</title><link>https://generativefutures.app/posts/the-age-of-emergency-with-jonathan/</link><guid isPermaLink="true">https://generativefutures.app/posts/the-age-of-emergency-with-jonathan/</guid><description>LSE&apos;s Jonathan White on &apos;temporal claustrophobia&apos;, why politics feels like permanent emergency, how it fuels the far right, and how democracy can reclaim the future.</description><pubDate>Wed, 07 Jan 2026 00:00:00 GMT</pubDate><category>temporal claustrophobia</category><category>politics of emergency</category><category>Jonathan White LSE</category><category>future as political idea</category><category>fascism and emergency</category><category>long-termism democracy</category><author>Phil Bell</author></item><item><title>The Post-Transformer Era</title><link>https://generativefutures.app/posts/the-post-transformer-era/</link><guid isPermaLink="true">https://generativefutures.app/posts/the-post-transformer-era/</guid><description>The transformer has become an AI bottleneck. Explore the post-transformer era: text diffusion, Continuous Thought Machines, and Nested Learning (HOPE).</description><pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate><category>post-transformer architecture</category><category>text diffusion models</category><category>Continuous Thought Machines</category><category>Nested Learning HOPE</category><category>transformer bottleneck</category><category>beyond transformers AI</category><author>Phil Bell</author></item><item><title>The History of Progress</title><link>https://generativefutures.app/posts/the-history-of-progress/</link><guid isPermaLink="true">https://generativefutures.app/posts/the-history-of-progress/</guid><description>A review of Carl Frey&apos;s How Progress Ends: why nations need decentralised innovation then centralised scaling, and what it means for the US–China tech race.</description><pubDate>Mon, 22 Dec 2025 00:00:00 GMT</pubDate><category>Carl Frey How Progress Ends</category><category>history of technological progress</category><category>US China tech race</category><category>innovation vs implementation</category><category>decentralisation innovation</category><category>Meiji Japan technology</category><author>Phil Bell</author></item><item><title>Why poetry breaks AI</title><link>https://generativefutures.app/posts/why-poetry-breaks-ai/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-poetry-breaks-ai/</guid><description>Poetry jailbreaks AI: a Rome study bypassed LLM safety 62% of the time using verse. Why larger models are more vulnerable, and why labs lack literary expertise.</description><pubDate>Tue, 16 Dec 2025 00:00:00 GMT</pubDate><category>poetry AI jailbreak</category><category>LLM safety vulnerability</category><category>jailbreaking large language models</category><category>AI guardrails bypass</category><category>Waluigi Effect</category><category>narrative AI safety</category><author>Phil Bell</author></item><item><title>Is China really racing for AGI? with Seán Ó hÉigeartaigh</title><link>https://generativefutures.app/posts/is-china-really-racing-for-agi-with/</link><guid isPermaLink="true">https://generativefutures.app/posts/is-china-really-racing-for-agi-with/</guid><description>Is China racing the US for AGI? Cambridge&apos;s Seán Ó hÉigeartaigh argues the &apos;AGI race&apos; narrative is exaggerated, and serves Western tech deregulation interests.</description><pubDate>Wed, 10 Dec 2025 00:00:00 GMT</pubDate><category>China AGI race</category><category>US China AI competition</category><category>AGI race narrative</category><category>Seán Ó hÉigeartaigh</category><category>AI as normal technology</category><category>AI governance verification</category><author>Phil Bell</author></item><item><title>Why AI can&apos;t learn on the job</title><link>https://generativefutures.app/posts/why-ai-cant-learn-on-the-job/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-ai-cant-learn-on-the-job/</guid><description>AI can&apos;t learn on the job because LLMs can&apos;t update long-term memory after training. Why continual learning is AI&apos;s economic bottleneck, and how nested learning could fix it.</description><pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate><category>AI continual learning</category><category>can AI learn on the job</category><category>nested learning architecture</category><category>HOPE architecture</category><category>catastrophic forgetting</category><category>LLM long-term memory</category><author>Phil Bell</author></item><item><title>Efficiency vs Learning</title><link>https://generativefutures.app/posts/efficiency-vs-learning/</link><guid isPermaLink="true">https://generativefutures.app/posts/efficiency-vs-learning/</guid><description>AI chatbots boost short-term efficiency but undermine learning. A Penn study shows ChatGPT users learn less than search-engine users, and how tool design can change that.</description><pubDate>Mon, 24 Nov 2025 00:00:00 GMT</pubDate><category>efficiency vs learning AI</category><category>does ChatGPT reduce learning</category><category>desirable difficulty</category><category>cognitive offloading AI</category><category>AI tool design</category><category>frictionless learning</category><author>Phil Bell</author></item><item><title>Compute is not the answer to AI sovereignty with Hamish Low</title><link>https://generativefutures.app/posts/compute-is-not-the-answer-to-ai-sovereignty/</link><guid isPermaLink="true">https://generativefutures.app/posts/compute-is-not-the-answer-to-ai-sovereignty/</guid><description>AI sovereignty isn&apos;t won with compute. Hamish Low argues nations like the UK should build AI middleware and strategic interdependence with the US, not rival chips.</description><pubDate>Tue, 11 Nov 2025 00:00:00 GMT</pubDate><category>AI sovereignty</category><category>compute and AI sovereignty</category><category>AI middleware</category><category>UK AI industrial policy</category><category>sovereign AI</category><category>AI export controls</category><author>Phil Bell</author></item><item><title>Teachers won&apos;t be automated</title><link>https://generativefutures.app/posts/teachers-wont-be-automated/</link><guid isPermaLink="true">https://generativefutures.app/posts/teachers-wont-be-automated/</guid><description>Why teachers won&apos;t be automated by AI: teaching is biologically human, deeply social, and largely undocumented. AI will automate teaching tasks, not replace teachers.</description><pubDate>Tue, 14 Oct 2025 00:00:00 GMT</pubDate><category>will AI replace teachers</category><category>AI automation in education</category><category>teaching automation</category><category>natural pedagogy</category><category>tacit knowledge schools</category><category>task-based automation</category><author>Phil Bell</author></item><item><title>What jobs is AI bad at?</title><link>https://generativefutures.app/posts/what-jobs-is-ai-bad-at-tfp-newsletter/</link><guid isPermaLink="true">https://generativefutures.app/posts/what-jobs-is-ai-bad-at-tfp-newsletter/</guid><description>What jobs is AI bad at? A roundup on AI&apos;s uneven job impact: industrial engineers and nurses resist automation, plus research on wages trending toward zero.</description><pubDate>Fri, 03 Oct 2025 00:00:00 GMT</pubDate><category>what jobs is AI bad at</category><category>jobs AI can&apos;t do</category><category>AI job automation study</category><category>OpenAI 44 occupations</category><category>transformative AI total factor productivity</category><category>AI and wages</category><author>Phil Bell</author></item><item><title>Hallucination solutions, China&apos;s AI strategy and AI companions</title><link>https://generativefutures.app/posts/hallucination-solutions-new-chinese/</link><guid isPermaLink="true">https://generativefutures.app/posts/hallucination-solutions-new-chinese/</guid><description>Why AI models hallucinate and OpenAI&apos;s proposed fix, China&apos;s &apos;AI+&apos; plan for ~90% adoption by 2030, and why a third of teens now treat AI as a companion.</description><pubDate>Fri, 12 Sep 2025 00:00:00 GMT</pubDate><category>AI hallucination solutions</category><category>China AI+ strategy</category><category>AI companions teens</category><category>AI hype cycle</category><category>compute threshold regulation</category><category>OpenAI evaluations</category><author>Phil Bell</author></item><item><title>The AI boring law</title><link>https://generativefutures.app/posts/the-ai-boring-law/</link><guid isPermaLink="true">https://generativefutures.app/posts/the-ai-boring-law/</guid><description>The &apos;AI boring law&apos;: as LLMs get more powerful, their outputs and errors converge, making them poor at genuine creativity. How to design AI that resists homogenisation.</description><pubDate>Tue, 02 Sep 2025 00:00:00 GMT</pubDate><category>AI boring law</category><category>LLM homogenisation</category><category>AI and creativity</category><category>generative monoculture</category><category>RLHF convergence</category><category>correlated model errors</category><author>Phil Bell</author></item><item><title>Chinese universities embrace AI, digital taxes and AI bubbles</title><link>https://generativefutures.app/posts/chinese-universities-embrace-ai-new/</link><guid isPermaLink="true">https://generativefutures.app/posts/chinese-universities-embrace-ai-new/</guid><description>China leads AI enthusiasm (80% vs UK 38%, US 25%), why AI may slow expert developers by 19%, the case for data taxes, and AI&apos;s concentrated energy costs.</description><pubDate>Fri, 22 Aug 2025 00:00:00 GMT</pubDate><category>AI developer productivity study</category><category>METR 19% slower</category><category>China AI adoption</category><category>AI bubble</category><category>data tax digital economy</category><category>AI energy consumption</category><author>Phil Bell</author></item><item><title>Why we don&apos;t understand AI models yet</title><link>https://generativefutures.app/posts/why-we-dont-understand-ai-models/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-we-dont-understand-ai-models/</guid><description>AI researcher Lee Sharkey explains mechanistic interpretability, reverse-engineering LLMs, why we grasp only ~1% of how they work, and why it matters for safety.</description><pubDate>Fri, 15 Aug 2025 00:00:00 GMT</pubDate><category>mechanistic interpretability</category><category>understanding LLMs</category><category>sparse autoencoders</category><category>AI safety</category><category>Lee Sharkey</category><category>neural network features</category><author>Phil Bell</author></item><item><title>Why we forgot memory</title><link>https://generativefutures.app/posts/why-we-forgot-memory/</link><guid isPermaLink="true">https://generativefutures.app/posts/why-we-forgot-memory/</guid><description>From Augustine to Anki: why modern information made us a &apos;forgetting society&apos;, and how AI could turn remembering back into a deliberate moral choice.</description><pubDate>Sun, 13 Apr 2025 00:00:00 GMT</pubDate><category>forgetting society</category><category>art of memory</category><category>spaced repetition</category><category>AI and memory</category><category>what do I want to remember</category><category>Borges Funes</category><author>Phil Bell</author></item></channel></rss>