<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Sang's Blog</title><link>https://sangtd.net/tags/ai/</link><description>Recent content in Ai on Sang's Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 14 Jun 2026 00:00:00 +0700</lastBuildDate><atom:link href="https://sangtd.net/tags/ai/rss.xml" rel="self" type="application/rss+xml"/><item><title>Tokenmaxxing and the price of a token</title><link>https://sangtd.net/tokenmaxxing-and-the-price-of-a-token/</link><pubDate>Sun, 14 Jun 2026 00:00:00 +0700</pubDate><guid>https://sangtd.net/tokenmaxxing-and-the-price-of-a-token/</guid><description>The term &amp;ldquo;tokenmaxxing&amp;rdquo; entered the tech vocabulary sometime in 2025, born from a peculiar practice: companies publishing leaderboards of how many AI tokens each employee consumed, tying performance reviews to token burn, and sometimes spending more on API calls than on salaries. The reaction was predictable. The tech press called it Tulip Mania. Executives defended it as necessary to force adoption. Engineers called it the stupidest metric ever devised. Both sides had evidence for their position, and neither was entirely wrong.</description></item><item><title>Lack of Self-Reliance on AI Models Is a Disaster</title><link>https://sangtd.net/lack-of-self-reliance-on-ai-models-is-a-disaster/</link><pubDate>Sat, 13 Jun 2026 00:00:00 +0700</pubDate><guid>https://sangtd.net/lack-of-self-reliance-on-ai-models-is-a-disaster/</guid><description>On 10 June 2026, Anthropic released Fable 5, their most powerful model yet. Three days later, the Trump administration imposed export controls, forcing Anthropic to stop providing Fable 5 and Mythos 5 to users worldwide. This marked the first instance in history where the United States restricted the export of a commercially deployed AI model — not chips or hardware, but software. The government cited a security breach that could threaten national security.</description></item><item><title>AI Models Are Compression Engines, and Memory Is the Workaround</title><link>https://sangtd.net/ai-models-are-compression-engines-and-memory-is-the-workaround/</link><pubDate>Sun, 19 Apr 2026 00:00:00 +0700</pubDate><guid>https://sangtd.net/ai-models-are-compression-engines-and-memory-is-the-workaround/</guid><description>Ask an AI model about the history of the Roman Empire and it will give you a lecture spanning centuries. Ask it about quantum mechanics and it will walk you through wave functions and Bell inequalities. But ask it what you told it yesterday about your project, and it stares back blankly. It knows everything and remembers nothing. This is not a bug. It is the direct consequence of what these models actually are: compression engines.</description></item></channel></rss>