If you’ve used AI tools, you know that they aren’t always accurate. A new study even highlighted that data-analytics-id=”inline-link” href=”https://www.tomsguide.com/ai/study-finds-chatgpt-5-is-wrong-about-1-in-4-times-heres-the-reason-why” data-before-rewrite-localise=”https://www.tomsguide.com/ai/study-finds-chatgpt-5-is-wrong-about-1-in-4-times-heres-the-reason-why”>ChatGPT is actually wrong 25% of the time. And while some big tech data-analytics-id=”inline-link” href=”https://www.tomsguide.com/ai/anthropic-ceo-claims-ai-will-cause-mass-unemployment-in-the-next-5-years-heres-why” data-before-rewrite-localise=”https://www.tomsguide.com/ai/anthropic-ceo-claims-ai-will-cause-mass-unemployment-in-the-next-5-years-heres-why”>CEOs believe AI will cause mass unemployement, it seems like for now AI is only dragging us down.
Companies acrosss the board are deploying AI, but the gains are less than satisfactory. Turns out, much of what these tools produce is useless junk that experts are calling “workslop.” Not to be confused with “AI slop,” which is all the…
