Sun, Oct 6, 2024

• Software 2.0 by Andrej Karpathy. #ai-coding-tools #automation #dev #markdown #prompt-engineering
  • This is fundamentally altering the programming paradigm by which we iterate on our software, as the teams split in two:
    • the 2.0 programmers (data labelers) edit and grow the datasets, while
    • a few 1.0 programmers maintain and iterate on the surrounding training code infrastructure, analytics, visualizations and labeling interfaces.
  • Adaptive UI ideas:
    • Adaptive Fields: Show only required fields based on what the user field so far.
    • Smart Inputs: Dropdowns and auto-complete based on user's context.
    • Smart Themes: Change font size, contrast, theme guessing the user's age and preferences.
    • Dynamic Menus: Show what they might need to do next. Like Nokia's right button, but using LLMs.
    • Smart Tooltips: Check what the user's doing (delays, confusions, previous clicks, current actions) and show relevant tips.
    • Personalized Layout: Show only the relevant sections of the app. E.g. based on what they're doing.
    • Smart Charts: Create the right chart that solve the user's question.
  • Adaptive Back-end
    • Dynamic APIs: Create endpoints on the fly based on user needs
    • Dynamic Indexing: Create & update indices on the fly based on user needs
    • Dynamic Schema: Create & update schema on the fly based on user needs
    • Dynamic Migration: Migrate to a new database or OS or language as required
    • Dynamic Queries: Create SQL/NoSQL queries to solve the user problem
    • Dynamic RBAC: Figure out who needs permissions and why. Add OR REMOVE access as required
    • Dynamic Logging. Log what's required. Explain why it's logged and what's happening. Fix code that raised the error
    • Dynamic Caching. Cache what's likely to be required. Evict what may not be required. Figure out cache keys.

• Aider LLM Leaderboards show which LLMs code better. As of now, #ai-coding-tools #github #llm-ops
  • o1-preview > claude-3.5 sonnet on code editing
  • claude-3-opus > claude-3.5-sonnet on code refactoring
  • deepseek-coder-v
  • gpt-4o-mini sucks.

• OpenAI Evals and Distillation has a clever design. They just convert filtered history to .JSONL files that can be an input to either.

• Speak is a language learning app based on OpenAI's Realtime API. #future #voice-cloning

• OpenAI's Realtime API can be used in a text-to-text chat mode without needing to send the entire context. If the pricing works out right, this can be far cheaper than sending the entire conversation context. Ref #tts

• Matching addresses with just embeddings works well. Combine it with simple hard rules. Source #embeddings

• OpenAI's prompt caching works for images too -- both linked and embedded

• Quotes on Graph RAG from a Generative AI WhatsApp Group. #code-agents
  • "Damn so literally nobody uses Graph RAG yet. Good to know." ~Sumba
  • "A big four consulting firm uses GraphRAG to retrieve related documents and excerpts from governance and compliance docs." ~Vinayak Hegde (Microsoft)
  • "Graph RAG is expensive and unnecessary in most of the cases." ~Utkarsh Saxena

• ChatGPT's advanced mode includes: "...you can use various regional accents and dialects." Ref Source #chatgpt #tts #voice-cloning
  • But the API can "laugh, whisper, and adhere to tone direction." Ref

• Hume API (INR 6/min) is far cheaper than OpenAI's real-time chat (6c/min input + 24c/min output)

• Devika is an open-source clone of Devin. #dev

• Ethan Mollick feels Claude 3.5 Sonnet is better at style and critiquing blog posts than OpenAI's o1 (which is better at reasoning.)

• "You have to put in a lot of work to become productive at AI coding." Simon Willison #ai-coding-tools

• ffmpeg on WASM works but is unstable and hard to use.
  • You can't use it in a CDN without CORS issues, since it loads ffmpeg-core via a worker.
  • It often runs into buffer allocation issues.

• Exotel and Plivo provide voice & SMS services in India (like Twilio). Plivo is more customer friendly.

• Uber's H3, Google's S2, and GeoHash are geocoding systems.
  • H3 offers uniform cell sizes and better distance measurement
  • S2 offers higher precision (factoring in Earth's curvature) for exact location matches
  • GeoHash is the simplest

• There's a movement towards embeddable databases on the cloud. #cloud
  • MotherDuck is hosted DuckDB.
  • Turso is hosted SQLite (with local sync, multi-tenant)
  • StarBase DB is SQLite with an API on top of Cloudflare Durable Objects.

• Jaro-Winkler Distance is a string matching algorithm that weights the start of a string higher.

• Passing the feed of the following to NotebookLLM is a good way to get caught up with news and summaries.
  • A blog / WhatsApp group (e.g. The Generative AI Group, Sithamalli, etc.)
  • A Google Group / mailing list (e.g. genainews, datameet)
  • YouTube channels (e.g. Vertiasium, GitHub)
  • Hacker News top stories
  • Research papers
  • Emails (skipping marketing emails)

• DuckDB runs inside Pyodide #dev

• Hungarian Jews have genetic diseases that increase their IQ. Gaucher’s disease, Torsion dystonia.

• In Singapore Airlines,
  • You can't wear your seatbelt loose
  • You have to keep the laptop in the pocket in front, not on your lap, during takeoff
  • You can't charge during takeoff
  • They verify if you ask for a veg meal and place a sticker on your seat

• Coders are more likely to edit LLM code. Non-coders don't have that bad habit. #ai-coding-tools #code-agents #dev #github #llm-ops #markdown
  • Vaishnavi and Ranjeet edited code
  • Indal and Koustav didn't

• Coders are likely to get more out of an LLM because they know what it can do. But some non-coders will get more out of an LLM because they don't know what it can't do. #llm-ops
  • E.g. Indal trying for a confetti animation, which is hard but do-able