LLM-assisted math self-study: lead with the payoff, not dry exposition
doodlestein · x · 2026-09-06
doodlestein describes his "self-directed, intuition-guided, LLM-assisted recreational math learning" method:
- The opening prompt is critical, and you should use the strongest frontier model you have (he prefers Fable)
- Never let the model slip into dry, Wikipedia-style regurgitation
- Make it lead with the payoff — even a near-clickbait "one weird trick" question — or you'll tune out
The core: have the LLM hook you like a storyteller before teaching, instead of summarizing knowledge.
Related event: A Self-Directed, LLM-Assisted Approach to Learning Math(2 posts)→
More from Apps
- asc CLI 5.0.0 ships, largely Astra-driven: 76 command groups for App Store automation — rudrank · 2026-09-06
- Claude launches Blender connector to debug scenes and batch-edit objects — ns123abc · 2026-09-06
- Qwen app launches Autohome-powered car advisor agent "Cheese Car Butler" — 千问APP · 2026-09-06
- Prompt tip: if you ask AI to "think strategically," define what strategic means — annetgriffin · 2026-09-06
- web-to-app: build Android APKs from web projects entirely on your phone — tom_doerr · 2026-09-06
- Abacus AI's SuperComputer adds 3D mode to build games and apps from text prompts — bindureddy · 2026-09-06