As machines are increasingly used to generate text, human post-editing has emerged as a critical yet underestimated discipline that demands speed, fluency and thoughtful human judgement. It is almost unbelievable to think that we are now talking about human post-editing. Not long ago, human writing, translating and editing were the only ways content could exist. There was nothing to correct but our own work. Today, that reality has shifted. Humans are no longer sole creators.

Exploring trends and recent articles on AI’s language quirks, Joanna from our marketing and design team put ChatGPT to the test with spelling and letter challenges to see just how well it handles the little details. It all started with a viral trend. After reading an article in The Guardian  and watching a few short videos about the uses and limitations of ChatGPT, I noticed people online were setting it playful challenges. One of them caught my eye. Instead of asking it to w

With AI accelerating translation workflows and global expansion happening faster than ever, the temptation to rely solely on tech is strong. But AI doesn’t “read the room”. The hidden cost of "good enough" translation   Most businesses approach international content the same way: get it translated, check it's accurate, push it live. It's efficient and measurable. And it's leaving money on the table.  Because the process misses the fact that a marketing message isn't just a co

Is using AI without human oversight putting brands at risk through mistranslations? Here we examine the pitfalls of cutting humans out of the loop.

As AI and large language models continue to evolve, businesses face mounting ethical dilemmas.

A year after ChatGPT was publicly released, we look at the challenges the technology needs to overcome.

Websters International: we are language scientists