--- title: Lossy self-improvement | daily.dev description: Nathan Lambert argues against the fast takeoff / recursive self-improvement (RSI) narrative, proposing instead the concept of 'lossy self-improvement' (LSI).... canonical: https://daily.dev/posts/lossy-self-improvement-cswsg8ibj twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Lossy self-improvement | daily.dev og:description: Nathan Lambert argues against the fast takeoff / recursive self-improvement (RSI) narrative, proposing instead the concept of 'lossy self-improvement' (LSI).... og:url: https://daily.dev/posts/lossy-self-improvement-cswsg8ibj og:image: https://api.daily.dev/og/posts/cSwSg8Ibj.png og:image:alt: Lossy self-improvement og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Lossy self-improvement **[Interconnects](https://daily.dev/sources/interconnects)** · 12 min read · 0 upvotes · 0 comments ## Summary Nathan Lambert argues against the fast takeoff / recursive self-improvement (RSI) narrative, proposing instead the concept of 'lossy self-improvement' (LSI). While AI models are genuinely becoming core to the AI development loop — automating engineering tasks, optimizing hyperparameters, and running experiments — three key frictions prevent an intelligence explosion: (1) automatable research is too narrow, with agents excelling at single-metric optimization but failing to navigate the multi-dimensional complexity real researchers manage; (2) parallelizing AI agents hits hard diminishing returns governed by Amdahl's law, with human intuition remaining the bottleneck; and (3) resource allocation and organizational politics keep humans in control of compute budgets. Lambert expects AI progress to look more linear than exponential in retrospect, with each wave (GPT-4, reasoning models, agentic workflows) feeling like a step-change but not triggering runaway acceleration. He acknowledges AGI thresholds may be crossed, but argues the complexity brake will prevent paradigm-shifting breakthroughs from emerging autonomously. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Recursive Self-Improvement Edges Closer In AI Labs](https://daily.dev/posts/recursive-self-improvement-edges-closer-in-ai-labs-vhlqfhjap) · IEEE Spectrum · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning) [View this post on daily.dev](https://daily.dev/posts/lossy-self-improvement-cswsg8ibj) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Lossy self-improvement","url":"https://daily.dev/posts/lossy-self-improvement-cswsg8ibj","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/lossy-self-improvement-cswsg8ibj"},"datePublished":"2026-05-31T07:40:59.222Z","dateModified":"2026-05-31T08:24:18.068Z","description":"Nathan Lambert argues against the fast takeoff / recursive self-improvement (RSI) narrative, proposing instead the concept of 'lossy self-improvement' (LSI)....","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c9860ebaa9fcf3043d5d3242a337430b?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/c9860ebaa9fcf3043d5d3242a337430b?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Interconnects","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Interconnects","logo":"https://media.daily.dev/image/upload/s--BshHFZ2M--/f_auto,q_auto/v1780213203/logos/interconnects?_a=BAMAMiWQ0","url":"https://daily.dev/sources/interconnects"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/lossy-self-improvement-cswsg8ibj","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,reinforcement-learning","timeRequired":"PT12M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Interconnects","item":"https://daily.dev/sources/interconnects"},{"@type":"ListItem","position":3,"name":"Lossy self-improvement"}]} ```