How Can These New Technologies Help You?
These new features introduced by Google based on AI technology, include new ways to generate, summarize and discuss AI texts in Docs, similar to what is done in ChatGPT. In that case, if you want to write about some topic in Gmail or Google Docs, you can type that topic in and a draft will be created in no time.
From there, you’ll be able to edit it and make the changes you deem necessary to fit the text into your original idea. This is a way to make writing easier for users through quick features for creating and editing drafts that streamline the writing process.
In addition to these features, updates to generate complete emails in Gmail based on user short tags, allow marketers to perform brainstorming and copywriting tasks on Google Cloud and the ability to generate and produce AI images, audio and video to illustrate slideshows.
Some people I know have already started using these tools out of sheer curiosity, just poking around to see what’s possible. There’s this odd urge to test boundaries—can AI draft a convincing customer apology, or maybe churn out a poem about last night’s leftovers? It’s both fun and a little unnerving, honestly. But after the playful experimenting, it’s clear these features actually save time, especially for anyone who stares at a blinking cursor more than they’d care to admit. Not everything that comes out is gold, but it gets you moving.
It’s interesting to notice the shift in office conversations too. Now, it’s not “who’s stuck writing the report,” but “which AI prompt gives us the least cringe-worthy outline.” That change alone, subtle as it seems, has nudged some teams to collaborate differently. Instead of guarding their individual approaches, folks swap AI tricks—almost like trading recipes. Makes work feel a little less isolating, which I didn’t expect from a technology supposedly replacing people.
In parallel with Google’s releases, OpenAI did not stay behind and released the long-awaited GPT-4, the company’s new language model that can receive image and text inputs. According to the company, “GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses.”
The company said it is also 40% more likely than its predecessor (GPT-3.5) to produce factual responses and 82% less likely to respond with “disallowed content”.
As mentioned above, GPT-4 can parse the content of an image and connect the information to a written question, generating text outputs.
How does this work in practice?
The New York Times made a demo where GPT-4 shows you the inside of a refrigerator and asks what meals can be made based on the ingredients in the photo. So, based on the image, GPT-4 presents some examples, both savory and sweet.
However, like all new technology, GPT-4 also has some limitations. One is that it can make mistakes in reasoning and “fantasize” facts, in addition to the fact that GPT-4 does not know about events after September 2021, which can lead to out-of-context or even incorrect answers.
What will happen going forward?
Well, both Google and OpenAI have already opened their APIs for integrating tools with third-party applications. This makes super well-known companies, such as Duolingo, use this integration to maximize the resources offered to their customers, managing to gain a competitive advantage in their market niche through AI technologies.
Companies are committed to making AI accessible to everyone, so it’s important to stay tuned for the next steps of these tech giants. I believe that many new features can emerge soon to make life easier for users and bring agility to the daily lives of professionals who work with the Internet, as is the case with Bing Image Creator, which has just been launched and generates images based on user descriptions.
The AI race still has a long way to go and those companies that manage to transform these technologies into something natural and digestible will be successful.
