<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WilliamResearchLogs on Research Logs</title><link>https://williamresearch.com/tags/williamresearchlogs/</link><description>Recent content in WilliamResearchLogs on Research Logs</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 27 Apr 2026 16:27:00 +0700</lastBuildDate><atom:link href="https://williamresearch.com/tags/williamresearchlogs/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Breakthrough with Bi-Temporal Data Models: 18.5% Accuracy Boost, 90% Latency Reduction, and Zero Hallucinations</title><link>https://williamresearch.com/posts/dot-pha-ai-voi-mo-hinh-du-lieu-luong-thoi/</link><pubDate>Mon, 27 Apr 2026 16:27:00 +0700</pubDate><guid>https://williamresearch.com/posts/dot-pha-ai-voi-mo-hinh-du-lieu-luong-thoi/</guid><description>&lt;p&gt;In the era of Artificial Intelligence, the most persistent pain points of Large Language Models (LLMs) are &amp;ldquo;hallucinations&amp;rdquo; and a severe lack of long-term memory capabilities over time. To permanently resolve these issues, the data science community is pivoting toward a powerful architectural standard: &lt;strong&gt;The Bi-Temporal Data Model&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Empirical results have proven the astonishing power of this model. Long-term memory benchmarks demonstrate that it &lt;strong&gt;boosts AI accuracy by 18.5%&lt;/strong&gt;. Furthermore, architectures integrating bi-temporal structures help &lt;strong&gt;reduce query latency by up to 90%&lt;/strong&gt; and &lt;strong&gt;completely eliminate information hallucinations&lt;/strong&gt; by providing the ability to trace the origin of any fact down to the exact second.&lt;/p&gt;</description></item><item><title>🧩 Decoding AI Skills: Prompt, Workflow, and MCP Without the Hype</title><link>https://williamresearch.com/posts/decoding-ai-skills-without-the-hype/</link><pubDate>Fri, 10 Apr 2026 00:05:00 +0700</pubDate><guid>https://williamresearch.com/posts/decoding-ai-skills-without-the-hype/</guid><description>&lt;h2 id="the-hook-why-skills-sound-smarter-than-they-are"&gt;The Hook: Why &amp;ldquo;Skills&amp;rdquo; Sound Smarter Than They Are&lt;/h2&gt;
&lt;p&gt;The current discourse around AI &amp;ldquo;skills&amp;rdquo; is noisy for a simple reason: the word sounds like capability, progress, even a form of learning. That framing is convenient for demos and marketplaces. It is also misleading.&lt;/p&gt;
&lt;p&gt;From a systems perspective, a skill is not intelligence. It is not a new reasoning engine. It is not proof that the model has learned a reusable capability in the way engineers usually mean learning. In practice, a skill is a structured way to constrain how a model receives instructions, how it decides the next step, and which tools it is allowed to call.&lt;/p&gt;</description></item><item><title>🌪️ The OpenClaw FOMO Storm: Welcome a "Godlike Entity" Home or Find a Smarter Path?</title><link>https://williamresearch.com/posts/openclaw-fomo-storm/</link><pubDate>Sat, 28 Mar 2026 10:00:00 +0700</pubDate><guid>https://williamresearch.com/posts/openclaw-fomo-storm/</guid><description>&lt;p&gt;You wake up, and your social feed is a constant stream of people &amp;ldquo;flexing&amp;rdquo; their custom-made bots. One has an AI agent writing all its code, another has one that automatically cleans its entire system, and a third has one sending hundreds of personalized emails while it sleeps. The quiet whispers among techies turn into a booming shout: &amp;ldquo;If you don&amp;rsquo;t use this, you&amp;rsquo;re on the fast track to being outdated.&amp;rdquo; It feels like your colleague across the hall just inherited a diligent, silent, and extremely capable army that works 24/7, while you&amp;rsquo;re still ploddingly typing your commands. The Fear Of Missing Out (FOMO) hits its absolute peak, and people are rushing to install it on their machines without taking a moment to understand what kind of &amp;ldquo;godlike entity&amp;rdquo; they are welcoming home.&lt;/p&gt;</description></item></channel></rss>