Tukey and Data Exploration
Having learnt it the hard way recently, one thing I'm NOT going to outsource to AI is data exploration. And this is based on an idea from a 1977 book by John Tukey!
Pertinent Observations
This started life at skthewimp.livejournal.com and then moved to WordPress at noenthuda.com . This is the successor state of that
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Latest posts
The slippery slope of avoiding AI-like writing
People will continue to remove "AI tells" from their writing. AI models will evolve to "write less like AI". New AI quirks appear, which people will distance from. And the cycle goes on...
How LLMs help me think better
They remind me of old (documented) thoughts, and can sometimes develop surprisingly good connections between them
Claude helped me buy coffee
In all my experiments I kept buying suboptimal coffee, so got Claude to build a recommendation system to help me shop better
Abundance and attention
With AI, it is easy to be abundant in your production, but the user's attention is still limited. So the creator's job is to curate, and direct the user on where to pay attention
Open source is a flex
I bring together Thinking Machines (the AI company), Databricks and Taaza Thindi (a South Bangalore restaurant) to talk about how open source can be a massive flex.
Speed of thought and mode of communication
How you choose to write - with pen on paper, or on a computer, or use a scribe, or use voice typing - depends on your speed of thought generation for whatever you're looking to write.
LLMs, Brahma, and one-way doors
Maybe because they are so verbose, only LLMs can read LLM-authored documents or code
Why GLP-1 drugs have a traction problem in India
Indians look down on "taking the easy way out" which is exactly what GLP-1s are seen as. And they are also "artificial, Western innovations", which doesn't help
Human context rot
What I used to call "Bayesian recognition" is, I realise, a special case of "human context rot". And we can use our understanding of LLMs to understand our own thinking better!