Bhuvan.Essays, notes and small websites
Notes · 468Page 8 of 16

Short things, kept in the open. A commonplace book, formerly rabbitholes.garden.

Links worth your time with a line on why, quotes, verse, half-thoughts and the occasional rant. Longer pieces live in writing. Follow along by RSS.

Note

Chesterton fences everywhere

What a beautiful article. It captures two ideas that I often think about. First idea: The sheer extent of our ignorance. We go through life thinking we know a lot, but in reality, what we know isn’t even a drop in the cosmic ocean. Yet thinking we know more than we actually do serves an evolutionary purpose—it prevents…

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resextensa.co ↗
Link

A promise is a direction taken

A promise is a direction taken, a self-limitation of choice. As Odo pointed out, if no direction is taken, if one goes nowhere, no change will occur. One’s freedom to choose and to change will be unused, exactly as if one were in jail, a jail of one’s own building, a maze in which no one way is better than any other.…

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en.wikipedia.org ↗
Link

AI-assisted coding is the new entertainment

Funny but probably true? A sign of things to come?

The anxiety is rational, which is why it sticks. Every week some new benchmark drops that makes last month’s workflow feel prehistoric. Codex ships overnight processing. Opus gets faster. Context windows double. None of it reduces the pressure. It multiplies it. You can do more now. And someone already is. The window to be first at anything feels like it’s shrinking by the day. Literally, by the day.

I replaced Netflix with Claude Code. I lie in bed thinking about what I can spin up before I fall asleep, what can run while I’m unconscious. Reading a novel feels indulgent now. Watching a movie without a laptop open feels wasteful. This voice in my head that says “something could be running right now” just doesn’t shut off. I’m not even building a company. I’m just addicted to building my random ideas.

x.com ↗
Link

Technology saturated beings

It’s an obvious, but underappreciated, fact that technology reshapes reality. But we don’t often think about it much less care about it. If you even spend a minute thinking about just how much of the shape of our lives is sculpted by the technologies we use and rely on, your mind will be blown, and I’m not even talking…

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engelsbergideas.com ↗
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Iain McGilchrist on attention

Beautiful meditation on attention:

McGilchrist considers the way our attention constructs our reality and becomes the beating heart with which we love the world:

The whole illuminates the parts as much as the parts can illuminate the whole… The world we experience — which is the only one we can know — is affected by the kind of attention we pay to it.

Defining attention as “the manner in which our consciousness is disposed towards whatever else exists,” he writes:

The choice we make of how we dispose our consciousness is the ultimate creative act: it renders the world what it is. It is, therefore, a moral act: it has consequences.

themarginalian.org ↗
Link

We are all unhappy wanderers

This post by Bruce Sorkin hit hard because I’m most often than not a tourist in the present, with permanent residences in the past and the future: Csikszentmihalyi talked about challenge, but I would also here invoke the Japanese concept of Beginner’s Mind or Shoshin. Derived from Zen Buddhism, and particularly…

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open.substack.com ↗
Link

Simone Weil is awesome

I was doing some research for a post and came across the great Simone Weil. I had heard her name and that’s about it. I just started listening to a few podcast epsiodes about her and I’m already becoming a fan of the remarkable life she led and the range and density of her thinking.

YouTube · youtu.be ↗Episode #172 ... Simone Weil - AttentionPhilosophize This! on YouTube
Philosophize This! · philosophizethis.org ↗Episode #172 - Simone Weil - Attention — Philosophize This!Simone Weil - Attention
philosophizethis.org ↗
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We don’t know how it all works

Lorin Hochstein responds to people who worey that AI “generates” code that we understand and itll probably lead to disasters down the line:

Finally, Bucciarelli is right that systems like telephony are so inherently complex, have been built on top of so many different layers in so many different places, that no one person can ever actually understand how the whole thing works. This is the fundamental nature of complex technologies: our knowledge of these systems will always be partial, at best. Yes, AI will make this situation worse. But it’s a situation that we’ve been in for a long time.

surfingcomplexity.blog ↗
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A moderately ambitious India

Pranay Kotasthane as usual with a thoughtful take on the state of affairs:

Lastly, the general impression I take away from this budget is the realisation of a party in power which has figured out a way to win elections in India that’s not contingent on strong economic performance. So long as you don’t screw up the economy badly, a combination of emotional issues and timely welfarism (direct cash transfer just before elections is a new, powerful tool now) should see you through most elections. Therefore, a 6.5 per cent growth and a 4 per cent fiscal deficit in a world that’s volatile and unpredictable is good enough to keep the global investors mildly interested while keeping the winning machine going domestically. That may not be enough for us to get out of the middle-income trap or lose out on the narrow window of demographic dividend we had. But the willingness to take bolder bets to address such structural challenges seems to have dissipated. More of the same is what we have settled for.

publicpolicy.substack.com ↗
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Big tech capex numbers are ridiculous

These big tech capex numbers are ridiculous

Big Tech companies will have to raise tens of billions of dollars to fund their skyrocketing investments in artificial intelligence this year, as capital spending outpaces cash flows even among some of the world’s most profitable companies.

Google’s parent Alphabet, Amazon and Meta all surprised investors with the scale of their AI spending plans over the past two weeks. A total of more than $660bn is set to be ploughed into chips and data centres this year as they race to dominate what many in Silicon Valley believe will be the biggest wave of innovation since the internet.

The unprecedented infrastructure build-out will force Big Tech executives to choose between stemming capital returns to shareholders, raiding their cash reserves or tapping the bond and equity markets more than previously planned, analysts say.

big-tech-capex

ft.com ↗
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LLMs are bad at solving math problems not in their training data

LLMs are still bad at math:

For the experiment, the authors — representing a diversity of mathematical fields — each contributed one test question that arose from research they had in the works but had not yet published. They also determined the answers; these solutions are encrypted online and will be released on Feb. 13.

“The goal here is to understand the limits — how far can A.I. go beyond its training data and the existing solutions it finds online?” said Dr. Kolda, who is one of few mathematicians to be elected a member of the National Academy of Engineering.

The team conducted preliminary tests on OpenAI’s ChatGPT-5.2 Pro and Google’s Gemini 3.0 Deep Think. When given one shot to produce the answer, the authors wrote, “the best publicly available A.I. systems struggle to answer many of our problems.”

nytimes.com ↗
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Predictions are hard

François Chollet on the money here:

Whenever I hear Very Serious Businessmen make confident pronouncements about the future of AI, I remember what the very same people were saying in 2021 about the Metaverse and NFTs.

When you lack a grounded, causal model of the world, your “predictions” are simply a remix of narratives you’ve heard from others.

Reminds me of something, actually

Good time to remember Bhuvan’s law:

“Any discourse about artificial intelligence is indistinguishable from talking out of your ass.”
x.com ↗