AI & Machine Learning

AI & Machine Learning

How to Measure the "Speed" of AI Development? Anthropic Proposes New Metrics for Frontier Labs

Based on a new research proposal by Anthropic, this beginner-friendly overview explains how to observe the rate at which AI accelerates AI research.
AI & Machine Learning

OpenAI Academy Expands Role-Based Learning Paths: How to Structure Corporate AI Training

An overview of OpenAI Academy's new role-based learning paths from the perspective of corporate AI education design.
AI & Machine Learning

GPT-Live-1 comes to the API: Analyzing full-duplex voice AI through architecture and per-minute pricing

A practical evaluation of OpenAI's GPT-Live-1 API announcement from the perspectives of voice architecture, interruptions, backend delegation, and per-minute costs.
AI & Machine Learning

Google Expands Multilingual AI Research: Verification Methods to Avoid Judging Solely on 'Can Translate'

Organizes Google's multilingual AI research announcements to connect them with methods for verifying corporate translation quality, terminology, numbers, and negative expressions.
AI & Machine Learning

Gemini 3.8 Live Released: Key Design Points to Verify in Real-Time Voice AI

A practical overview of Gemini 3.8 Live, covering interruptions, latency, tool usage, and when to choose Extended Thinking.
AI & Machine Learning

Sponsored Agents in ChatGPT Ads: What Changes with Conversational Advertising?

An overview of OpenAI's announced Sponsored Agents from the practical perspectives of ad operations, product information, CRM integration, and user disclosure.
AI & Machine Learning

Preventing AI Character Drift: Creating and Testing a Character Sheet from a Single Image

You try to generate the same character with generative AI, but the face changes slightly every time. I tried a practical method of creating a Character Sheet from a single image, designating papanda925 as the official reference, and changing only the expressions, poses, and scenes.
AI & Machine Learning

How Do Filter Bubbles Form? — Running a Simple Model of “Narrowing Recommendations” in PowerShell

We explore the concept of filter bubbles through an educational model in PowerShell consisting of recommendation -> click -> interest estimate update -> candidate reduction.
AI & Machine Learning

Don’t Just sudo AI-Generated Commands — A 5-Step Pre-Execution Checklist

This guide outlines a 5-step checklist to verify the purpose, target, permissions, changes, and recovery methods before running Linux commands suggested by AI. Essential practical rules to read before typing sudo.
AI & Machine Learning

Checking General Availability of GPT-6 Astra in GitHub Copilot from Official Information

This article is a technical commentary and implementation example created using AI. The code and procedures presented ar...