Sun, May 11, 2025 | Anand S - Things I Learned

snapdom is a fast, light, element capture alternative to html2canvas but doesn't work well with non-CORS images or iframes. #document-conversion #html

Tofu Yakitori is a Japanese dish. It's like a dhokla. Marinated tofu cubes brushed with that sweet‑savory tare (soy, mirin, sake, a hint of sugar), then grilled until caramel‑charred. One of the better (tasty + different) dishes I've had recently. I used ChatGPT to remind me of the dish name.

⭐ When writing notes, summarize at the end of the day the learnings and next steps. #future #markdown #lesson #write

GitHub does not let you control the cache duration, but there are many creative workarounds. ChatGPT #cloud #github #hosting
- HTML meta tags: <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate">
- Use a service worker (blog)
- Proxy through a CDN. Cloudflare, Netlify
- Move to another static host: S3 + CloudFront, Heroku, Vercel, Surge, Firebase Hosting

Vibe coding is like getting others' code to work, which is exactly what most devs do. Simon Willison #ai-coding #code-agents #dev #github

Trust, attitudes and use of artificial intelligence surveyed ~1,000 people across 47 countries on their views on AI. PDF #future
- Emerging economies trust and use AI more. It's an opportunity to leapfrog.
- 26% of students use AI daily (vs 17% employees). Efficiency is the main benefit.

Gemini APIs now have automatic caching for 75% cost reduction if message is >1K (Flash) or >2K (Pro) tokens. Ref

YOLO is much better than Gemini at object detection. Use for pro-processing. Ref #gpu

Using [[n]] is probably the best citation format for inline search references in RAG. ChatGPT #github

⭐ Double-checking is surprisingly efficient since LLM hallucinations are mostly uncorrelated. LLMs perform human tasks (e.g. classifying customer support messages) at ~85% accuracy. This might be unacceptable. But by asking 2 moderately correlated LLMs and double-checking discrepancies, we reduce automation by ~20% but reduce errors to 0.25%. Triple-checking reduces automation by ~25% but errors to under ~0.01%! Ref #automation #code-agents #llm-ops