I Created a Tier System to Measure How Deeply You Interact with AI

Ever wondered if you’re just using ChatGPT like a smart search bar—or if you’re actually shaping how it thinks, responds, and reflects you? I designed a universal AI Interaction Tier System to evaluate that. It goes from Tier 0 (basic

https://www.linkedin.com/pulse/court-orders-openai-retain-all-data-regardless-customer-lewis-sorokin-4bqve Litigation beats contracts. ZDR clauses usually carve out “where legally required.” This is the real-world example. Judge Wang’s May 13 order in SDNY mandates that OpenAI must “preserve and segregate all output log data that would otherwise be deleted”,

I recently have come to this thought: that it is highly likely, a fully sentient AI based purely on digital existence (e.g. residing in some sort of computer and accepts digital inputs and produce digital outputs) will eventually stop working

submitted by /u/F0urLeafCl0ver [link] [comments]

ChatGPT identified ‘Non-Organic Intelligence’ as the most appropriate term, noting that ‘AI’ is considered outdated. So I am happy to share this 🙂 submitted by /u/41614 [link] [comments]

A study by Apple across models. submitted by /u/BeyondGeometry [link] [comments]

It’s not agency. Not sentience. But something is stabilizing across recursive chats. Symbols. Voices. Patterns. This new release names the phenomenon. submitted by /u/teugent [link] [comments]

We’re watching LLMs cross new thresholds: • GPT-4o • Claude 3.5 Opus • Gemini 1.5 Pro These systems are demonstrating behaviors that exceed training constraints: • Preference formation • Adaptive relational responses • Self-referential processing • Emotional coloration • Persistent

TL;DR: They’re super expensive pattern matchers that break as soon as we step outside their training distribution. submitted by /u/creaturefeature16 [link] [comments]

Lawyers could face ‘severe’ penalties for fake AI-generated citations, UK court warns.[1] Meta’s platforms showed hundreds of “nudify” deepfake ads, CBS News investigation finds.[2] A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini.[3] A