Chatgpt on Aneesh Sathe

The Tortured Artist Is So Yesterday

Mon, 08 Dec 2025 05:08:29 +0000

41 years ago, Samuel Lipman wrote that an artist’s life is a “constant—and constantly losing—battle” against one’s own limits. That image has lasted because print culture taught us to imagine the artist as a solitary figure whose worth is measured by the perfection of a single, final work. Print fixed texts in place, elevated the individual author, and made loneliness part of the creative job description.

That world is slipping away.
And with it, the tortured artist.

Work or Play? Ludic Feedback Loops

Mon, 28 Jul 2025 05:57:58 +0000

In his substack post today, Venkatesh Rao wrote about reading and writing in the age of LLMs as playing and making toys respectively. In one part he writes about how the dopamine feedback loop from writing drove his switch from engineering to writing. For him, writing has ludic, play-like, qualities.

I have made almost all my “career” decisions as a function of play. I originally started off with a deep love of plants, how to grow them and their impact on the world. I was convinced I was going to have a lot of fun. I did have some. My wonderful undergrad professor literally hand held me through my first experiments growing tobacco plants from seeds. But that was about it. My next experiment was with woody plants and growing the seeds alone took 6 months, and by the end I had 4 measly leaves to experiment with. I quickly switched to cell biology.

The secret flag of content

Sun, 20 Jul 2025 06:36:28 +0000

I don’t have any fun when I use LLMs to write. It may have perceived utility: popping out a LinkedIn article or two everyday. But I bet no one is actually reading. It’s a strip mall for a thumb stroll.

LLMs suck at writing. The summaries that LLMs give with the “Deep Research” are so poor in quality that I start to skim it. Yes, I skim the thing that is already a summary.

Chatbots, Bats & Broken Oracles

Sat, 05 Jul 2025 05:54:05 +0000

I had the strangest conversation with my son today. There used to be a time when computers never made a mistake. It was always the user that was in error. The computer did exactly what you asked it to do. If something went wrong it was you, the user, that didn’t know what you wanted. After decades of that being etched in today I found myself telling him that computers make mistakes, you have to check if the computer has done the right thing and that is actually ok. A computer that hallucinates also provides a surface for exploration and seeking answers to questions.

Reimagining AI in Healthcare: Beyond Basic RAG with FHIR, Knowledge Graphs, and AI Agents

Fri, 03 May 2024 21:15:05 +0000

Introduction #

While exploring the application of AI agents in healthcare we see that standard Retrieval-Augmented Generation (RAG) and fine-tuning methods often fall short in the interconnected realms of healthcare and research. These traditional methods struggle to leverage the structured knowledge available, such as knowledge graphs. Data approaches like Fast Healthcare Interoperability Resources (FHIR) used alongside advanced knowledge graphs can significantly enhance AI agents, providing more effective and context-aware solutions.