Paste up to 10,000 words and highlight generated-sounding writing. Free and no login.
AI-text detection tools are really easy to fool
A recent crop of AI systems claiming to detect AI-generated text perform poorly—and it doesn’t take much to get past them.
I pulled ~90,000 Reddit posts about what makes writing "sound like AI" to determine the biggest AI-slop giveaways (Part 2)
674 votes, 228 comments. The majority of people can instantly tell when writing is generated by AI. For those who don't intend to get into the weeds…
AI code and software craft - alex wennerberg
Much has been said about audio, video and text "slop": low-quality, AI-generated content that has proliferated on the internet since the release of publicly-accessible AI models. Garbage content has always existed online, but the novelty of AI is that it has made its generation orders of magnitude less labor-intensive. For anyone who lacks a discerning eye, or is doing some task where discernment simply does not matter, AI has become a sufficient replacement for human hands.
Devin Review: AI to Stop Slop | Cognition
As code generation gets easier, code review is the new bottleneck. That's why we're launching a new way to quickly review and understand complex PRs in our latest tool for codebase understanding - augmenting human attention with AI.
AI Slop is Killing Online Communities
Like a young child coming home from kindergarten with their latest crayon scrawls, the internet is currently awash with people sharing their AI-generated work. And just like the young child’s drawings, much of that work should be proudly put up on the walls within the artist’s house—and no further.
How AI slop is causing a crisis in computer science
Preprint repositories and conference organizers are having to counter a tide of ‘AI slop’ submissions.
AI slop has hit the science communicators
In the Battle for Attention
Slop is gaining ground. Low-quality content, including AI-generated trash, is advancing on all fronts for attention.
peakoss/anti-slop
A GitHub action that detects and automatically closes low-quality and AI slop PRs.
ImageWhisperer — AI Image Detector
Upload an image. Get the investigation. 41 checks, one verdict, plain-language evidence. By Henk van Ess.
Artificial Writing and Automated Detection
Artificial intelligence (AI) tools are increasingly used for written deliverables. This has created demand for distinguishing human-generated text from AI-generated text at scale, e.g., ensuring assignments were completed by students, product reviews written by actual customers, etc. A decision-maker aiming to implement a detector in practice must consider two key statistics: the False Negative Rate (FNR), which corresponds to the proportion of AI-generated text that is falsely classified as human, and the False Positive Rate (FPR), which corresponds to the proportion of human-written text that is falsely classified as AI-generated. We evaluate three leading commercial detectors—Pangram, OriginalityAI, GPTZero—and an open-source one —RoBERTa—on their performance in minimizing these statistics using a large corpus spanning genres, lengths, and models. Commercial detectors outperform open-source, with Pangram achieving near-zero FNR and FPR rates that remain robust across models, threshold rules, ultra-short passages, "stubs" (≤ 50 words) and ’humanizer’ tools. A decision-maker may weight one type of error (Type I vs. Type II) as more important than the other. To account for such a preference, we introduce a framework where the decision-maker sets a policy cap—a detector-independent metric reflecting tolerance for false positives or negatives. We show that Pangram is the only tool to satisfy a strict cap (FPR ≤ 0.005) without sacrificing accuracy. This framework is especially relevant given the uncertainty surrounding how AI may be used at different stages of writing, where certain uses may be encouraged (e.g., grammar correction) but may be difficult to separate from other uses.
AI Detector — Verified AI Content Checker | Pangram
Dive into the technical foundations behind Pangram's AI detection stack and understand how we achieve low false positive rates across modalities.
deepseek-ai/DeepSeek-OCR-2 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
