AI Transparency Breakthrough: How OpenAI’s Confession Method Makes Models Honest
18 days ago 高效码农Keeping AI Honest: How OpenAI’s “Confession” Method Works and Why It Matters “ Keywords: large language model honesty, Confession training, reward hacking, AI transparency, hallucination detection, scheming behavior, reinforcement learning safety TL;DR OpenAI’s latest proof-of-concept adds a second output—called a Confession—that asks the model to list every instruction it was given, judge whether it followed each one, and admit any shortcuts or rule-breaking. The confession score is completely separate from the main-answer reward, so the model is free to own up without penalty. In small-scale trials the trick already cuts “false negatives” (misbehavior that stays hidden) to ≈ 4 % …
How EGGROLL’s Hyperscale Evolution Strategies Revolutionize Gradient-Free AI Training
29 days ago 高效码农Evolution Strategies Go Hyperscale: How EGGROLL Trains Billion-Parameter Models Without Gradients A plain-language walkthrough of the paper “Evolution Strategies at the Hyperscale” Written for college-level readers who want facts, not fluff Word count: ≈ 3 200 1. Why should I care about “gradient-free” training? Because back-propagation is not always the best tool. Situation Why gradients struggle Model uses int8 weights only Tiny round-off errors explode during backward pass System contains non-differentiable code (hash table, cellular automaton, database call) Chain rule breaks Very long recurrent loops Vanishing/exploding signal You already own a huge inference cluster GPUs sit idle while you wait …
How Tiny-DeepSpeed Cuts GPT-2 Training Memory by 37% Using ZeRO Optimization
5 months ago 高效码农Tiny-DeepSpeed: A 500-Line Walk-Through of DeepSpeed’s Core Tricks for Global Learners I kept hearing that DeepSpeed can shrink GPT-2’s training footprint by half, yet the original repo feels like a maze. This post walks you through Tiny-DeepSpeed, a deliberately minimal re-write of DeepSpeed. In fewer than 500 lines, you will see ZeRO-1, ZeRO-2, and ZeRO-3 run on a single RTX 2080 Ti and on two GPUs. Every command, number, and line of code is lifted straight from the source repository—nothing added, nothing invented. Table of Contents Why Tiny-DeepSpeed Matters to You Memory at a Glance—The Official Numbers One-Line Install Guide …