<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Business on Aneesh Sathe</title><link>https://aneeshsathe.com/tags/business/</link><description>Recent content in Business on Aneesh Sathe</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 11 Jan 2026 08:28:42 +0000</lastBuildDate><atom:link href="https://aneeshsathe.com/tags/business/index.xml" rel="self" type="application/rss+xml"/><item><title>The Kernel and the Ark</title><link>https://aneeshsathe.com/the-kernel-and-the-ark/</link><pubDate>Sun, 11 Jan 2026 08:28:42 +0000</pubDate><guid>https://aneeshsathe.com/the-kernel-and-the-ark/</guid><description>&lt;h3 id="i-the-wall-and-the-infinite"&gt;
I. The Wall and the Infinite
&lt;a href="#i-the-wall-and-the-infinite" class="heading-anchor"&gt;#&lt;/a&gt;
&lt;/h3&gt;
&lt;p&gt;It is possible that the history of the modern West hinges on a single, melancholic misreading of Voltaire. When Candide, exhausted by the Lisbon earthquake and the brutalities of the Seven Years’ War, finally withdraws to the banks of the Propontis to utter his famous dictum—&lt;em&gt;“Il faut cultiver notre jardin”&lt;/em&gt;—he is not proposing a program of agricultural management. He is issuing a plea for containment. To cultivate a garden, in the shadow of such overwhelming chaos, is an act of stoic resignation. It is an admission that the world is too vast, too violent, and too unintelligible to be governed by reason. One builds a wall against the infinite, and within that limited circumference, one tends to the soil. The garden is a refuge from nature.&lt;/p&gt;</description></item><item><title>Work or Play? Ludic Feedback Loops</title><link>https://aneeshsathe.com/work-or-play-ludic-feedback-loops/</link><pubDate>Mon, 28 Jul 2025 05:57:58 +0000</pubDate><guid>https://aneeshsathe.com/work-or-play-ludic-feedback-loops/</guid><description>&lt;p&gt;In his substack post today, &lt;a href="https://substack.com/home/post/p-169315273"&gt;Venkatesh Rao wrote&lt;/a&gt; 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.&lt;/p&gt;


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&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>On Protocols, Wagons, and Associated Acrobatics</title><link>https://aneeshsathe.com/on-protocols-wagons-and-associated-acrobatics/</link><pubDate>Sun, 27 Jul 2025 07:03:32 +0000</pubDate><guid>https://aneeshsathe.com/on-protocols-wagons-and-associated-acrobatics/</guid><description>&lt;p&gt;Years ago, maybe a decade even, I fell in love with this software called Scrivener. I could never justify buying it because I didn’t actually write. But having that software would represent a little bit of the identity I would like to have, a writer. The Fourth of July long weekend gave me a running start. The plan was to write every day for a month. If I did, I would buy Scrivener. This was going quite well, then I couldn’t write for two days.&lt;/p&gt;</description></item><item><title>Briefing: The State of Explainable AI (XAI) and its Impact on Human-AI Decision-Making</title><link>https://aneeshsathe.com/briefing-the-state-of-explainable-ai-xai-and-its-impact-on-human-ai-decision-making/</link><pubDate>Thu, 24 Jul 2025 06:10:10 +0000</pubDate><guid>https://aneeshsathe.com/briefing-the-state-of-explainable-ai-xai-and-its-impact-on-human-ai-decision-making/</guid><description>&lt;hr&gt;
&lt;p&gt;This post is a sloptraption, my silk thread in the &lt;a href="https://aneeshsathe.com/the-cloister-web-reshaping-the-political-maidan/"&gt;CloisterWeb&lt;/a&gt;. The post was made with the help of NotebookLM. You can chat with the essay and the sources here: &lt;a href="https://notebooklm.google.com/notebook/253b6f3a-4a24-4061-815b-66cdbd496a4c"&gt;XAI NotebookLM Chat&lt;/a&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="i-executive-summary"&gt;
I. Executive Summary
&lt;a href="#i-executive-summary" class="heading-anchor"&gt;#&lt;/a&gt;
&lt;/h3&gt;
&lt;p&gt;The field of Explainable AI (XAI) aims to make AI systems more transparent and understandable, fostering trust and enabling informed human-AI collaboration, particularly in high-stakes decision-making. Despite significant research efforts, XAI faces fundamental challenges, including a lack of standardized definitions and evaluation frameworks, and a tendency to prioritize technical &amp;ldquo;faithfulness&amp;rdquo; over practical utility for end-users. A new paradigm emphasizes designing explanations as a &amp;ldquo;means to an end,&amp;rdquo; grounded in statistical decision theory, to improve concrete decision tasks. This shift necessitates a human-centered approach, integrating human factors engineering to address user cognitive abilities, potential pitfalls, and the complexities of human-AI interaction. Practical challenges persist in implementation, including compatibility, integration, performance, and, crucially, inconsistencies (disagreements) among XAI methods, which significantly undermine user trust and adoption.&lt;/p&gt;</description></item><item><title>AI: Explainable Enough</title><link>https://aneeshsathe.com/ai-explainable-enough/</link><pubDate>Wed, 23 Jul 2025 05:50:31 +0000</pubDate><guid>https://aneeshsathe.com/ai-explainable-enough/</guid><description>&lt;p&gt;They look really juicy, she said. I was sitting in a small room with a faint chemical smell, doing one my first customer interviews. There is a sweet spot between going too deep and asserting a position. Good AI has to be just explainable enough to satisfy the user without overwhelming them with information. Luckily, I wasn’t new to the problem.&lt;/p&gt;


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&lt;p&gt;Coming from a microscopy and bio background with a strong inclination towards image analysis I had picked up deep learning as a way to be lazy in lab. Why bother figuring out features of interest when you can have a computer do it for you, was my angle. The issue was that in 2015 no biologist would accept any kind of deep learning analysis and definitely not if you couldn’t explain the details.&lt;/p&gt;</description></item><item><title>My Road to Bayesian Stats</title><link>https://aneeshsathe.com/my-road-to-bayesian-stats/</link><pubDate>Tue, 22 Jul 2025 06:32:55 +0000</pubDate><guid>https://aneeshsathe.com/my-road-to-bayesian-stats/</guid><description>&lt;p&gt;By 2015, I had heard of Bayesian Stats but didn’t bother to go deeper into it. After all, significance stars, and p-values worked fine. I started to explore Bayesian Statistics when considering small sample sizes in biological experiments. How much can you say when you are comparing means of 6 or even 60 observations? This is the nature work at the edge of knowledge. Not knowing what to expect is normal. Multiple possible routes to a seen a result is normal. Not knowing how to pick the route to the observed result is also normal. Yet, our statistics fails to capture this reality and the associated uncertainties. There must be a way I thought.&lt;/p&gt;</description></item><item><title>The secret flag of content</title><link>https://aneeshsathe.com/the-secret-flag-of-content/</link><pubDate>Sun, 20 Jul 2025 06:36:28 +0000</pubDate><guid>https://aneeshsathe.com/the-secret-flag-of-content/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>What do platforms really do?</title><link>https://aneeshsathe.com/what-do-platforms-really-do/</link><pubDate>Sat, 19 Jul 2025 05:51:44 +0000</pubDate><guid>https://aneeshsathe.com/what-do-platforms-really-do/</guid><description>&lt;p&gt;In 1986, David S. Landes wrote the essay, &amp;lsquo;What Do Bosses Really Do?’. He argues that the historical role of the &amp;lsquo;boss&amp;rsquo; was an essential function for organizing production and connecting producers to markets. Digital platforms have become the new bosses. Platforms have the same functions of market creation, labor specialization, and management, but they have replaced the physical factory floor with &lt;em&gt;algorithmic management&lt;/em&gt;. While their methods are novel, platforms are the direct descendants of the merchant-entrepreneurs and factory owners Landes described, solving the same historical problems of production in remarkably similar ways.&lt;/p&gt;</description></item><item><title>Hack, Hacky, Hacker</title><link>https://aneeshsathe.com/hack-hacky-hacker/</link><pubDate>Fri, 18 Jul 2025 06:21:48 +0000</pubDate><guid>https://aneeshsathe.com/hack-hacky-hacker/</guid><description>&lt;p&gt;A few days ago I wrote about the beauty of &lt;a href="https://aneeshsathe.com/divine-documentation/"&gt;great documentation&lt;/a&gt;; this is the evil twin post.&lt;/p&gt;
&lt;p&gt;The spectrum of meaning across the words &lt;em&gt;hack, hacky, and hacker&lt;/em&gt; form a horseshoe when thinking about postures toward life. On either ends are the most difficult options. Being either a hack or a hacker requires dedication and both approaches narrow your world. Being hacky, taking imperfect shortcuts, in the world is immensely satisfying. It is play disguised as problem solving.&lt;/p&gt;</description></item><item><title>Divine Documentation</title><link>https://aneeshsathe.com/divine-documentation/</link><pubDate>Wed, 16 Jul 2025 05:20:46 +0000</pubDate><guid>https://aneeshsathe.com/divine-documentation/</guid><description>&lt;p&gt;Dad was about my age when he said that reading the manual was better than hypothesis driven button pressing. For teenage me, that took too long. Sure, I may have crashed a computer or two but following my gut got me there. Of course my gut isn&amp;rsquo;t &lt;em&gt;that&lt;/em&gt; smart. In the decades preceding, devices had converged on a common pattern language of buttons. Once learned, the standard grammar of action would reliably deliver me to my destination.&lt;/p&gt;</description></item><item><title>The Plato Plateau</title><link>https://aneeshsathe.com/the-plato-plateau/</link><pubDate>Tue, 15 Jul 2025 06:58:53 +0000</pubDate><guid>https://aneeshsathe.com/the-plato-plateau/</guid><description>&lt;p&gt;This post started off as a joke. I was attempting to snow clone the Peter Principle for philosophy. It led to a longer thread of thoughts. But first, the snow clone:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Plato Plateau:&lt;/strong&gt; People philosophize to the level of their anxiety.&lt;/p&gt;


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&lt;ol&gt;
&lt;li&gt;Anxiety is the realization that you have absolute choice over life – Kierkegaard. Anxiety, in this context is not nervousness. It is a positive thing when harnesses. We harness it everyday.&lt;/li&gt;
&lt;li&gt;Anxiety is a generative. Anxiety creates identity by locating stable places to launch exploration.&lt;/li&gt;
&lt;li&gt;Action, exploration, and anxiety are a motor. Anxiety → exploration → action → refreshed identity. Inaction leads to identity death&lt;/li&gt;
&lt;li&gt;Realizing you are radically free to choose can also lead to a forest of perceived signals. These can be an overwhelming inbox or simply overloaded ambition.&lt;/li&gt;
&lt;li&gt;When anxiety overwhelms it becomes difficult to tell signal from noise.&lt;/li&gt;
&lt;li&gt;Tools like GTD crash anxiety. When overwhelmed, GTD works well. When there is too little anxiety identity becomes ephemeral.&lt;/li&gt;
&lt;li&gt;GTD isn’t a means to nirvana: GTD integrates 10k, 30k foot views to reintroduce future anxiety.&lt;/li&gt;
&lt;li&gt;When your identity is smeared across too many anxieties you declare anxiety bankruptcy and crash your identity in some safe spot. Journals, sabbaticals, quitting.&lt;/li&gt;
&lt;li&gt;Like the parable of the rock soup, vaporized anxiety needs a &lt;em&gt;place&lt;/em&gt; to condense onto. Ideally something disposable but sufficient to let your identity create an “ordered world of meaning”&lt;/li&gt;
&lt;li&gt;Life examination occurs with identity crashes. Philosophy provides just enough of a toehold in the abstract to spur action in the actual.&lt;/li&gt;
&lt;li&gt;Philosophy is a way to spur action absent anxiety/identity. We pick the philosophy depending on the degree of identity loss.&lt;/li&gt;
&lt;li&gt;Philosophy can be broadly sorted as:
&lt;ol&gt;
&lt;li&gt;Survival - laws and tactics oriented&lt;/li&gt;
&lt;li&gt;Social Cohesion- harmony, virtue ethics, etiquette&lt;/li&gt;
&lt;li&gt;Systems level order - algorithms and protocols oriented&lt;/li&gt;
&lt;li&gt;Self Knowledge and Meaning - reflecting on existing and consciousness&lt;/li&gt;
&lt;li&gt;Meta-systems - theorizes about theories&lt;/li&gt;
&lt;/ol&gt;
&lt;/li&gt;
&lt;li&gt;Most scientists and builders work best at level 3 systems level order. Going lower, i-ii, for environmental crises and higher, iv-v, for internal crises.&lt;/li&gt;
&lt;li&gt;Complexity of selected philosophy is not superiority. A rung’s usefulness matches your identity state and environment, not some civilizational high score.&lt;/li&gt;
&lt;li&gt;Philosophy as Periodic Maintenance: Crashing and philosophy sampling are maintenance actions on the place called identity.&lt;/li&gt;
&lt;/ol&gt;</description></item><item><title>On Being Good vs. Knowing Good: Perspectives on AI</title><link>https://aneeshsathe.com/being-good-vs-knowing-good-ai/</link><pubDate>Mon, 22 Jan 2024 19:41:07 +0000</pubDate><guid>https://aneeshsathe.com/being-good-vs-knowing-good-ai/</guid><description>&lt;figure &gt;
 










 
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&lt;p&gt;In this &lt;a href="https://youtu.be/iGJcF4bLKd4?si=sehYAGqoKw-HUyFc"&gt;video&lt;/a&gt;, Stephen Fry narrates Nick Cave&amp;rsquo;s letter, which argues that using ChatGPT as a shortcut to creativity is detrimental. Surprisingly, I found myself in agreement. Having been involved in the AI industry for over a decade, I&amp;rsquo;ve always viewed AI positively. As an entrepreneur who pitches AI to investors and customers, I liken AI to technologies like spreadsheets: they eliminate tedious tasks, but you still need to understand what you&amp;rsquo;re doing.&lt;/p&gt;</description></item><item><title>Strategy sits on a pyramid of hearts</title><link>https://aneeshsathe.com/strategy-sits-on-a-pyramid-of-hearts/</link><pubDate>Fri, 08 Dec 2023 23:00:47 +0000</pubDate><guid>https://aneeshsathe.com/strategy-sits-on-a-pyramid-of-hearts/</guid><description>&lt;figure &gt;
 










 
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&lt;p&gt;There is a fetishism around management artifacts, handbooks, spreadsheets, memos and more. People who like the idea of being a leader but lack experience look at these artifacts and think that whatever goes into the artifacts is how the world will function. This micromanagement flavour of command and control forgets that there are people involved. Leaders must remember that the people who you are leading are just like you and, crucially, that they are closer to the problem. Strategies crumble when they leave out the team’s intelligence, insight, and input. Therefore, building a culture of mutual trust and an intuitive mode of operation is crucial for success. Winning hearts is not trivial.&lt;/p&gt;</description></item></channel></rss>