Tag: handwriting

Categories
Living Writing

The Loop and the Pixel

There is a distinct muscle memory associated with the 1950s classroom. It smells of chalk dust and floor wax, but mostly, it feels like the cramping of a small hand wrapped around a pencil. We didn’t just learn to write; we were initiated into the discipline of the loop. The Palmer Method or Zaner-Bloser weren’t suggestions—they were rigorous architectures of communication. We made endless rows of O’s and l’s, tilting the paper just so, learning that language required flow, connectivity, and a certain deliberate grace.

Then, the world sped up.

By the 1990s, the loops began to unravel. As keyboards clattered their way into dominance, the efficiency of the printed letter—and eventually the typed pixel—took precedence over the artistry of the connected script. By 2010, the erasure was formalized; cursive was dropped from federal education standards (Common Core) to make room for “electronic literacy.” We traded the unique signature for the standardized font. We gained speed, certainly, but I often wonder what we lost in the translation.

“New Jersey this week joined a list of more than 20 states slanting in favor of bringing cursive instruction back to classrooms. Lessons on the looping letters were dropped from federal education standards in 2010, part of a shift toward focusing on electronic literacy.” — The New York Times

It seems the pendulum is swinging back. Proponents argue for its utility—the ability to read historical texts or a grandmother’s birthday card—but I believe the resurgence touches on something deeper.

In an increasingly digital world, cursive is an act of resistance. Typing is percussion; it is staccato and disconnected. Cursive is string; it is continuous and fluid. When we write in cursive, we are physically connecting thoughts, linking one letter to the next without lifting the pen. It forces the brain to slow down and the hand to dance.

As we stare into screens that demand our instant reaction, perhaps we are realizing that we crave the friction of pen on paper. We are bringing the loops back not because they are faster, but because they are human.

Categories
AI AI: Large Language Models Investing

From Ink to Insight

There is a distinct friction that exists between the analog world and the digital one. For years, analog notebooks have been the graveyard of good intentions—lists of books to read, article ideas to write, and companies to investigate, all trapped in the amber of my barely legible handwriting.

I recently found myself looking at one of these lists: a scrawl of company names I had jotted down while reading an article discussing possible companies for investment in 2026. Usually, this is where the work begins—taking my handwritten notes, typing them out one by one, searching for tickers, opening tabs, etc. It is low-value administrative work that often kills any spark of curiosity before it can turn into useful analysis.

“The barrier to entry for deep research drops to the time it takes to snap a photo.”

On a whim, I snapped a photo and uploaded it to Gemini 3 Pro. “Transcribe this,” I asked. “Give me the tickers.”

I expected errors. My handwriting is, to put it mildly, not easy to read (even for me!).

Instead, the AI didn’t just perform Optical Character Recognition (OCR); it performed contextual recognition. It understood that the scribble resembling “Apl” in a list of businesses was likely Apple, and returned $AAPL. It deciphered the intent behind the ink.

But the real shift happened when I asked Gemini to pivot immediately into research. Within seconds, I went from a static piece of paper to a dynamic analysis of P/E ratios, recent news, and market sentiment. The friction was gone.

This experience wasn’t just about productivity; it was about the fluidity of thought. We are moving toward a reality where the interface between the physical world and digital intelligence is becoming permeable. When the barrier to entry for deep research drops to the time it takes to snap a photo, our curiosity is no longer limited by our patience for data entry. We are free to simply think.