The savings disappear the moment you hit real-world complexity. Disparate data sources and messy inputs, ambiguous situations without clear rule sets, or actually any domain where the rules aren't already obvious. And someone still has to write all those rules.
Handshake began in 2013 as a platform for hiring college grads and launched a human data labeling business about a year ago to serve foundational AI model companies. Cleanlab, founded in 2021, is a startup that provides software for improving the quality of data produced by human labelers. The deal's purpose is primarily to acquire talent, aka an acqui-hire, adding nine key Cleanlab employees to Handshake's research organization.
So far, the only details on the new feature come from a cryptic X post from Elon Musk saying, "Edited visuals warning," as he reshares an announcement of a new X feature made by the anonymous X account DogeDesigner. That account is often used as a proxy for introducing new X features, as Musk will repost from it to share news.
By comparing how AI models and humans map these words to numerical percentages, we uncovered significant gaps between humans and large language models. While the models do tend to agree with humans on extremes like 'impossible,' they diverge sharply on hedge words like 'maybe.' For example, a model might use the word 'likely' to represent an 80% probability, while a human reader assumes it means closer to 65%.
OpenAI is updating ChatGPT's deep research tool with a full-screen viewer that you can use to scroll through and navigate to specific areas of its AI-generated reports. As shown in a video shared by OpenAI, the built-in viewer allows you to open ChatGPT's reports in a window separate from your chat, while showing a table of contents on the left side of the screen, and a list of sources on the right.