# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/49836579 # How I changed teaching after AI managed to do all my homework assignments 73 points · 41 comments [Full discussion]() [Read original]() Category: [Industry & Society]() ## Skept-o-meter & Hotness Skept\-o\-meter: Low\. Estimated from 5 comments\. 5 comments for the summary\. Peak rank: \#9 Time in Top 10: 20\.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\. 216 recorded rank observations from 2026\-09\-26T12:01:57\.347893\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\. Hotness — latest 168 recorded Hacksnap ranks: 2026\-09\-30T18:03:34\.83179\+00:00: rank \#171 2026\-09\-30T19:02:02\.291882\+00:00: rank \#171 2026\-09\-30T20:02:49\.392147\+00:00: rank \#172 2026\-09\-30T21:03:42\.990832\+00:00: rank \#173 2026\-09\-30T22:02:11\.294387\+00:00: rank \#174 2026\-09\-30T23:01:52\.722953\+00:00: rank \#174 2026\-10\-01T08:02:24\.797064\+00:00: rank \#174 2026\-10\-01T09:01:35\.899477\+00:00: rank \#177 2026\-10\-01T10:01:12\.485692\+00:00: rank \#177 2026\-10\-01T11:00:47\.508128\+00:00: rank \#177 2026\-10\-01T12:00:42\.477917\+00:00: rank \#176 2026\-10\-01T13:00:51\.124852\+00:00: rank \#176 2026\-10\-01T14:00:59\.01153\+00:00: rank \#177 2026\-10\-01T15:00:51\.048047\+00:00: rank \#178 2026\-10\-01T16:00:53\.034654\+00:00: rank \#179 2026\-10\-01T16:36:37\.180071\+00:00: rank \#180 2026\-10\-01T17:00:23\.382263\+00:00: rank \#180 2026\-10\-01T18:01:44\.046011\+00:00: rank \#181 2026\-10\-01T19:01:47\.420738\+00:00: rank \#182 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2026\-10\-07T23:01:17\.452894\+00:00: rank \#240 2026\-10\-08T08:03:55\.083808\+00:00: rank \#240 2026\-10\-08T09:03:58\.68898\+00:00: rank \#241 2026\-10\-08T10:04:05\.364235\+00:00: rank \#242 2026\-10\-08T11:02:04\.410307\+00:00: rank \#241 2026\-10\-08T12:02:36\.39618\+00:00: rank \#241 2026\-10\-08T13:03:09\.206401\+00:00: rank \#241 2026\-10\-08T14:03:30\.113384\+00:00: rank \#242 2026\-10\-08T15:02:54\.444758\+00:00: rank \#241 2026\-10\-08T16:03:13\.067807\+00:00: rank \#241 2026\-10\-08T17:03:47\.92465\+00:00: rank \#241 2026\-10\-08T18:01:50\.360431\+00:00: rank \#241 2026\-10\-08T19:02:55\.719274\+00:00: rank \#242 2026\-10\-08T20:01:36\.359022\+00:00: rank \#242 2026\-10\-08T21:03:34\.000719\+00:00: rank \#244 2026\-10\-08T22:01:13\.459732\+00:00: rank \#244 2026\-10\-08T23:01:25\.318392\+00:00: rank \#244 2026\-10\-09T08:01:53\.314021\+00:00: rank \#245 2026\-10\-09T09:02:59\.93426\+00:00: rank \#246 2026\-10\-09T10:02:22\.652527\+00:00: rank \#246 2026\-10\-09T11:02:04\.807282\+00:00: rank \#246 2026\-10\-09T12:02:16\.769295\+00:00: rank \#246 2026\-10\-09T13:02:30\.35034\+00:00: rank \#248 2026\-10\-09T14:01:34\.215134\+00:00: rank \#248 2026\-10\-09T15:01:27\.564392\+00:00: rank \#248 2026\-10\-09T16:02:06\.561056\+00:00: rank \#249 2026\-10\-09T17:03:06\.673648\+00:00: rank \#251 2026\-10\-09T18:01:02\.851052\+00:00: rank \#251 2026\-10\-09T19:01:11\.250291\+00:00: rank \#252 2026\-10\-09T20:01:32\.91907\+00:00: rank \#252 2026\-10\-09T21:02:08\.376144\+00:00: rank \#254 2026\-10\-09T22:01:19\.253075\+00:00: rank \#256 2026\-10\-09T23:01:31\.990912\+00:00: rank \#256 2026\-10\-10T08:01:00\.593376\+00:00: rank \#255 2026\-10\-10T09:01:45\.527975\+00:00: rank \#258 2026\-10\-10T10:00:53\.799353\+00:00: rank \#258 2026\-10\-10T11:00:35\.65851\+00:00: rank \#257 2026\-10\-10T12:01:11\.169647\+00:00: rank \#257 2026\-10\-10T13:00:54\.008377\+00:00: rank \#257 2026\-10\-10T14:01:43\.208766\+00:00: rank \#259 2026\-10\-10T15:01:24\.825188\+00:00: rank \#259 2026\-10\-10T16:01:10\.213328\+00:00: rank \#258 2026\-10\-10T17:00:48\.84189\+00:00: rank \#257 2026\-10\-10T18:00:57\.55132\+00:00: rank \#257 2026\-10\-10T19:00:52\.379463\+00:00: rank \#257 2026\-10\-10T20:00:21\.993912\+00:00: rank \#257 2026\-10\-10T21:01:10\.657738\+00:00: rank \#259 2026\-10\-10T22:00:50\.433569\+00:00: rank \#260 2026\-10\-10T23:01:00\.95027\+00:00: rank \#261 The discussion is less about whether AI belongs in courses than about how assessment and scale must change: instructors see traditional homework as compromised, oral or interactive checks as promising but costly, and evaluation—not teaching—as the main bottleneck\. ## The brief Christian Kästner describes how he redesigned his upper\-level Machine Learning in Production course after AI agents became capable of completing all his homework assignments\. He keeps learning goals centered on engineering tradeoffs, risk mitigation, and teamwork, permits AI use except in written and oral exams, and shifts assessment toward in\-person TA check\-ins, oral interactions, video demos, and a larger exam share\. He also uses LLM\-as\-a\-judge autograding and feedback bots, scales assignments to larger codebases, and acknowledges that AI undermines several evidence\-based teaching practices while making learning outcomes hard to measure\. - Kästner says AI agents can now do all assignments in his ML in Production course, prompting a broad redesign even though the core learning goals around engineering tradeoffs, risk mitigation, and teamwork have barely changed\. - He permits AI use in all settings except written and oral exams, arguing that policing AI is infeasible and that students need to learn responsible use of these technologies\. - Written reflections and reading quizzes were replaced or de\-emphasized in favor of 15\-minute in\-person TA conversations, lab check\-ins, video demos, and more grade weight on exams and classroom activities\. - AI undermines evidence\-based practices such as frequent low\-stakes assessment, penalty\-free resubmissions, and in\-class discussion; he added a 10% resubmission penalty and keeps some low\-stakes interactions despite abuse\. - LLM\-as\-a\-judge autograding and Slack feedback bots cut TA grading time by 50–80%, but human review is still required before point deductions, and assignments were scaled to larger codebases like Zulip (\>500k LOC) to exceed single\-step agent capability\. - He reports that students accept the changes, but he lacks evidence on learning outcomes; strategies decay as models improve, requiring semester\-by\-semester adaptation, and he addresses AI subscription equity concerns through a textbook\-cost analogy and institutional support\. ## Discussion themes ### Traditional homework and assessment are seen as undermined nfrankel says project\-based homework and in\-session exams are now 'moot' in the age of AI, and that oral exams can reveal whether a student has integrated concepts but do not scale\. a57721 describes homework losing meaning, grading LLM output as wasteful, and students bringing LLM\-generated exam guides to tests and asking the instructor to explain them\. Sources: [Comment 49853947]() · [Comment 49854079]() ### Flipped classroom proposed, with preparation and cost caveats helsinkiandrew suggests the flipped classroom as an alternative, where students prepare before class and class time becomes interactive\. raphman cautions that this only works with intrinsically motivated students or verification that everyone actually prepared, otherwise unprepared students can create a vicious cycle; helsinkiandrew also notes it is more expensive than a large lecture\. Sources: [Comment 49854017]() · [Comment 49854113]() ### Dispute over whether teaching or evaluation got harder vjk800 argues that teaching has actually improved because LLMs are a new teaching tool, while evaluation became harder because students can use the same tools to cheat in traditional assessment\. The comment criticizes conflating teaching with evaluating\. Sources: [Comment 49854259]() ### Scaling and resource constraints dominate practical objections Across the comments, oral exams, in\-person check\-ins, and flipped classrooms are treated as pedagogically promising but difficult to scale or resource\. nfrankel notes oral exams do not scale, helsinkiandrew notes flipped classrooms cost more than large lectures, and raphman adds that preparation verification is a major dependency\. Sources: [Comment 49853947]() · [Comment 49854017]() · [Comment 49854113]() ## Sources & coverage AI-generated summary · 2026\-09\-26T12:01:54\.64465\+00:00 Based on 5 of 5 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened. Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.