# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/fable-took-my-job-50053216 # Fable Took My Job 123 points · 134 comments [Full discussion]() [Read original]() Category: [Industry & Society]() ## Skept-o-meter & Hotness Skept\-o\-meter: High\. Estimated from 10 comments\. 12 comments for the summary\. Peak rank: \#5 Time in Top 10: 2\.0 hours Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\. 3 recorded rank observations from 2026\-10\-12T11:02:41\.204022\+00:00 to 2026\-10\-12T13:01:39\.193266\+00:00\. Hotness — latest 3 recorded Hacksnap ranks: 2026\-10\-12T11:02:41\.204022\+00:00: rank \#5 2026\-10\-12T12:00:38\.917178\+00:00: rank \#5 2026\-10\-12T13:01:39\.193266\+00:00: rank \#6 AI did not out\-engineer the author, but its marketed capability gave leadership cover to cut costs; the thread doubts replacement claims while warning that subsidized pricing and executive incentives still drive layoffs\. ## The brief A laid\-off engineer argues frontier LLMs did not outperform him, but their marketed capability gave leadership enough confidence to cut his role and coast toward M&A\. He says models lack product taste and long\-term foresight, yet can copy and port behavior when guided by a careful harness, citing Shopify's native\-app rewrite and Theo's TypeScript\-to\-Rust port\. The essay distinguishes the joy of programming from the joy of delivering results, and warns that AI is changing how money is spent on humans\. - The author was the last engineer; a Fable/Mythos\-tier LLM was cheaper than his compensation, giving leadership confidence to eliminate the role before an M&A\. - He argues frontier models still lack the taste for product decisions and the foresight to predict operating costs, complexity, accessibility and affordability consequences\. - He concedes models can be driven step\-by\-step with a harness to reproduce and port A/B\-tested behaviors, citing Shopify's machine\-coded native apps and Theo's TS\-to\-Rust port that reproduced Go bugs\. - He notes Astra, a rival to Fable, failed at a familiar, well\-documented task, undercutting claims of imminent replacement\. - He says the joy of programming is dying while the joy of delivering results lives on, and speculates frontier lab employees are distressed by the same screens\. ## Discussion themes Analyzed: 2026\-10\-12T11:02:38\.723903\+00:00 Analysis sample: Based on 12 of 19 usable stored comments. Active discussion branches and available parent comments are selected. The analysis input was further shortened to fit its context limit. This sample may omit parts of the full thread. Selected themes do not measure community opinion or how common a view is. ### AI layoffs as executive discipline and cost\-cutting Comments argue AI is used as cover for mass layoffs and to weaken tech\-worker leverage, not solely because models match experienced engineers\. Offshoring precedent and working\-class displacement suggest management prioritizes unit cost, with UBI raised as a possible outcome\. Sources: [Comment 50053774]() · [Comment 50053842]() · [Comment 50053969]() · [Comment 50054056]() ### Operational limits of small AI\-augmented teams A two\-person team plus Opus may ship, but cannot sustain 24/7 on\-call or mitigate bus\-factor risk; FAANG scale persists for operational reasons\. Sources: [Comment 50053633]() · [Comment 50053745]() ### Subsidized token pricing and rug\-pull risk LLM tokens are investor\-subsidized; commenters expect price increases once dependency grows, though open models may constrain incumbents\. Sources: [Comment 50053921]() · [Comment 50053942]() · [Comment 50053974]() ### Moral responsibility of AI leaders One commenter frames the human toll as a moral indictment of AI leaders; replies say it is a price they accept, though not one they pay\. Sources: [Comment 50053659]() · [Comment 50053740]() · [Comment 50053822]() ## Sources & coverage AI-generated summary · 2026\-10\-12T11:02:39\.319623\+00:00 Based on 12 of 19 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. The model input was further shortened to fit its context limit. Article text may also be shortened. Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.