If you sent someone a message, would you want them to think that you wrote it or that an AI chatbot did?
Sleuthy online users are calling out any traces of AI they find. Currently, many people are concerned that most of what they see online is artificially generated. People, companies, and even online platforms are issuing restrictions against AI-generated content. Even online communities are banning authentic humans just for being accused of using AI.
According to Google’s latest spam policy, websites that use generative AI tools to generate pages or content may be considered spam and can result in a penalty that lowers the website’s ranking. YouTube is also restricting certain types of AI content. Even Anthropic, a gen AI company known for making the “Claude” app, says using AI is NOT allowed when submitting a job application to their company.
The current sentiment is loud and clear: If you’re going to post anything online, even your own content, it better not smell like AI.
People are turning to online detection tools. There is also a growing trend of people associating certain words, phrases, and formatting styles with chatbot writing.
Last year, computer scientist Paul Graham tweeted about a cold email he received from someone proposing a new project. But there was one major problem. Graham noticed the word “delve” in the email, which he says is a sign of chatbot writing.
Graham isn’t alone, as many people online feel the same way. One Reddit post titled “what are the most common words chatgpt says?” received numerous responses from people saying words like ‘delve,’ ‘tapestry,’ and others were among the chatbot’s favorite words. The latest claim is that the em dash (—) proves that someone used AI. Now, they’re calling it the “ChatGPT dash.”
So what’s happening exactly? People are developing beliefs, either consciously or unconsciously, that certain words or phrases (ChatGPT’s perceived lexicon) are strong indicators of AI-generated authorship. That bias causes them to overlook or underweight other possibilities (e.g., a human writer simply chose words organically). But there’s another method people use to spot AI-written content.
If you’re plugged into the AI space, you’ve probably heard about AI detectors—tools that use text analysis aiming to spot patterns of artificially generated text content.
AI detection is widely used in academia, with services such as essay turn-in detectors scanning over 70 million student papers annually. The problem is that text detection isn’t perfect yet. Since the first detectors popped up in 2023, students have come out to say they were falsely accused of using AI to write. Ironically, AI chatbots are trained on millions of real writers, so if you’re a human who happens to write similarly to ChatGPT, you could be accused of having used it.
A story on the BBC investigated writers getting paid to rewrite AI content to make it sound more human. It should be clear by now that the AI scare extends beyond teachers preventing students from using AI to write their essays. Attempts to call out and quash artificial content are rippling across creative and professional sectors alike.
A negative sentiment is growing in the public towards anything people see as ‘AI-generated.’
The current climate of suspicion — authentic work being flagged and genuine creators penalized — inevitably forces a response.
Faced with the risk of false accusations, damaged reputations, or lost opportunities, people are actively seeking ways to protect their content and ensure it passes muster, regardless of how it was originally written.
For some, this means painstaking manual editing. Writers find themselves consciously avoiding words or phrasing patterns they fear might trigger biased human readers or flawed detection algorithms. Terms like ‘delve’ or ‘tapestry,’ or even the humble em dash deemed literary pariahs— once pure, now adulterated vagabond words, sparking people to deny the probity of any place they’re found dwelling.
Given the limitations and anxieties associated with manual edits, many are turning to technical solutions — specifically “AI-humanizers.” Humanizers are similar to paraphrasers. They rewrite a given piece of text, but unlike paraphrasers, they use special algorithms to identify and rewrite words flagged as AI-generated in a way that makes them appear human.
Platforms like Undetectable AI have emerged as prominent players in the humanizer category. On one hand, the existence and effectiveness reveal a significant challenge to the already struggling AI detection industry. On the other side, some see these tools as insurance against unfair AI accusations or penalties.
According to a spokesperson from Undetectable AI, “A big part of our mission is providing access to something that stops people from getting unfairly penalized, whether they used [AI] or not.” While services like Undetectable AI can help honest people protect the integrity of their work, they can also be used to generate swarms of AI-generated content that appears human-made.
But honest users see what they’re doing as restoring the intended authenticity of communication while treading systems that might otherwise block it.
The adoption of new AI tools is also a clear symptom of the underlying problem: the pressure and potential harm caused by the pervasive climate of suspicion surrounding online content. As AI advances, authenticity has become a prized commodity; writers are taking extra steps to ensure their work appears genuinely human.
These days, one specific word typed —or em dash placed— can literally make or break your prose. Beyond the public, the eyes of algorithms will be watching.
The first wave of the GLP-1 era in the U.S. was defined by scarcity. Patients often waited for backlogged prescriptions, pharmacies rationed supply, and demand outpaced what manufacturers could deliver. That period is largely over. Tirzepatide and semaglutide are now regularly available, the range of clinical options has widened, and platforms such as Mochi Health offer structured care pathways that may include medications like compounded tirzepatide and compounded semaglutide where a licensed provider determines it clinically appropriate. The conversation has shifted toward what quality of care accompanies that access and whether it is thorough enough to produce lasting results.
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As fall and winter roll in with cooler weather, people are adapting to changes in temperature in real time. You might be utilizing smart thermometers in your home, capitalizing on smart home features that act on predetermined schedules, or even using simpler methods, such as placing a smart hand warmer in your pocket.
NordLayer has launched NordLayer AI Scout, a new AI visibility and security solution that shows companies which AI tools employees are actually using across web and desktop, including services that were never formally approved.
The product brings sanctioned and unauthorized AI use into one view, tracks how different tools are being used, and can inspect and help control what employees type into AI prompts. It also maps the connections used by AI agents, giving IT teams a clearer picture of what those systems can reach once they are running.