GoKawiil
Tech News
Pangram, an AI-detection service, has released a new integration for Gmail that scans incoming messages and flags those it believes were written by artificial intelligence. The tool aims to help users quickly identify AI-generated 'slop' mixed in with genuine human correspondence.
Pangram has built a text and image classifier that determines whether content was authored by a human or generated by AI. The system tokenizes input text, converts tokens into vector embeddings, and passes them through a neural network with a classifier head that outputs a human, AI, or AI-assisted label. The model was trained on roughly one million documents combining publicly licensed human writing with AI-generated samples from GPT-5 and other frontier models.
Tools such as Pangram and Originality.ai are being used to identify AI-generated writing, offering some clarity for educators, publishers and employers trying to spot machine-authored content. However, these detectors remain imperfect, producing errors that limit how much confidence users should place in their results.
Pangram co-founder and CEO Max Spero appeared on TechCrunch's Equity podcast to discuss the complexities of detecting AI-generated content. The startup recently raised $9 million, partnered with Substack to flag AI-written newsletters, and launched a new tool for detecting AI-generated images.
Pangram, a 24-person AI-detection startup that raised $13 million, has flagged high AI-generated percentages in several notable works, including a Hachette-acquired novel that was subsequently canceled, a New York Times Modern Love column, and prize-winning fiction. Substack recently integrated Pangram's detection tool so readers can check content for AI involvement.
LinkedIn introduced a feature letting users flag posts they suspect are low-quality AI-generated content, and more than a million people used it within the first two weeks. Chief product officer Hari Srinivasan said member views of flagged AI content have dropped 40% since the tool launched, though he acknowledged more work remains.
Billionaire investor Stanley Druckenmiller published a Wall Street Journal op-ed criticizing Treasury Secretary Scott Bessent, and readers quickly flagged telltale AI-generated phrasing using detection tools like Pangram. Druckenmiller confirmed he used AI to draft the piece, comparing it to using a calculator, and WSJ opinion editor Paul Gigot backed the decision not to disclose AI assistance, calling AI use a 'fact of modern life.'
Pangram, a commercial AI-text detector built by New York start-up Pangram Labs, is being adopted by scientific publishers, computer-science conferences and universities to flag undisclosed AI-generated content. The American Association for Cancer Research uses it to catch peer reviewers who submit AI-written reports without disclosure, while NeurIPS rejected 18% of paper submissions after running them through the tool, and arXiv preprints can now be checked via a mirror site called alphaXiv.
LinkedIn revealed that its feedback button letting users flag suspected AI-generated posts has been used more than a million times since debuting July 30. The company says combining these reports with updated detection systems has reduced views of flagged 'AI slop' content by 40% in recent weeks, and it now notifies authors when their posts draw such flags.