CWM

By the time the developing world has pianos in public hospital foyers, the developed world will have eradicated the need for hospitals.

My life is… Mathematics for Computer Science. Information Theory. Computer Networks. Computer Programming. And I’m loving every second of it. Everything is computer now. ❤️

“Healthcare is still deeply siloed, both within organizations and across the many tools they rely on. AI has mostly been used as isolated point solutions, but growing connectivity between analog and digital systems, structured and unstructured data, and decentralized platforms is creating a path toward unified AI layers. The real opportunity is to connect these fragmented systems so patients and critical information no longer fall through the cracks. It’s a difficult problem and far from solved, but advances in healthcare focused AI tools, APIs, models and agents are opening the door to far greater impact across the healthcare system.” Thoughts from Dr. Nate Gross on The OpenAI Podcast: Building AI for better healthcare

“When I was in medical school, the newsfeed came out, the iPhone came out, Twitter came out, the App Store came out. And so comparing the technology that we had as doctors, which was fax machine, clipboard, paper binder, the beginnings of electronic health records to like what my friends had or what the patients had in the waiting room was pretty profound.” Thoughts from Dr. Nate Gross on The OpenAI Podcast: Building AI for better healthcare

Journal Entry 2026/03/16 Classic cat behavior 🤣

Journal Entry 2026/03/16 I’ve made up my mind. Long term plan is to emigrate to 🇵🇹 . Finish my computer science degree and specialize in AI engineering.

‘Physics advances through a productive tension between theory and experiment. Theorists and experimentalists often frustrate each other—experimental results can ruin elegant theories, while theorists can annoy experimentalists—but that conflict is actually valuable. Even wrong theories can push experimentalists to build new experiments, sometimes leading to discoveries they would never have made otherwise. Progress in physics depends on this rough back-and-forth: theory challenges experiment, experiment tests theory, and both sides keep each other skeptical. That is why there’s a healthy distrust on both sides, captured in the jokes that a theorist is the only one who believes their paper, while an experimentalist is the only one who doesn’t believe theirs, and that people should not trust an experimental result until theory can explain it.’ Thoughts from Prof Max Tegmark on The Into The Impossible podcast with host Prof Brian Keating

Journal Entry 2026/03/15 Helloooo Universe… anyone there? It’s been a while since I’ve been greeted by the quiet wink of a synchronicity.

As our computational tools advance, what we can do with a single bit evolves.

Taken from 𝕏 account ‘Reads With Ravi’

The Byzantine Generals Problem is a mathematical and computer science problem about how independent actors can reach consensus when some messages or messengers may be unreliable, deceptive, or corrupted. As AI makes it easier to generate convincing falsehoods at scale, verifying what is true becomes harder regardless of the source. Any technology that could robustly solve trust, verification, and consensus under those conditions would be priceless.

Politics is the devil’s social experiment. A useful toolkit for planting seeds of evil in the fertile ground of the naive mind.

Science, medicine, and law are among the core pillars of a developed modern society. These professions are compensated in proportion to the value they contribute to human well-being, order, and progress. As technology reshapes civilization, the meaning of what is considered “modern” evolves with it.

Wars are too often fought by the young over decisions made by old men whose lives have already passed their peak.

When machine learning begins uncovering the unknown unknowns, it will mark a profound technological rupture. Our current paradigm of reality may not survive it, and whatever comes next will redefine the world as we know it. Hopefully for the better.

“Real innovation works like evolution. First, you collect stepping stones, then build on them over time. With the right evolutionary framework, language models can become powerful tools for scaling discovery. The real breakthrough will come not just from optimizing solutions, but from evolving both the problems and the solutions together, creating more diverse pathways and unlocking a truly open-ended process of innovation.” Thoughts from Robert Lange, founding researcher at Sakana AI on The Machine Learning Street Talk podcast discussing ways how AI will make real scientific progress.

“We’re at a critical moment. Language has long been seen as a defining line between humans and other animals, yet even in humans, verbal self-report is not always a reliable window into true understanding. That problem is even greater with LLMs. Just because a model gives a human-like answer does not mean it truly understands. To know what is happening under the hood, we need more careful, systematic ways of testing LLMs, drawing not only from human psychology, but also from animal cognition and comparative behavior research.” Prof Erica Cartmill on The Mindscape podcast when asked about understanding how LLMs communicate.

200 days of consecutive playing ♟️ 🥂

The greatest blessing bestowed upon any human being is the opportunity to bring another human life into the universe. When done virtuously, guided by the highest form of human intelligence which is the ability to express and receive Love, it becomes one of the most challenging and rewarding endeavors a person can undertake in all of conscious existence.

What a cosmic coincidence that the birthday of one of the greatest minds in human history falls on the same day we celebrate one of the most profound and mysterious ideas in mathematics. Happy π Day. 🫶