Most individuals will bear in mind Sergey Brin for his iconic (and brave) demo of Google Glass throughout the firm’s I/O developer convention in 2012. 12 years later, the Google co-founder is again at I/O, however to speak about different issues… kind of.

Following the opening day keynote, in a quite intimate Q&A session with members of the press, Brin shared his ideas on Mission Astra, Gemini Professional 1.5, and his primary use case with AI.

Mission Astra, Google’s multimodal imaginative and prescient of “clever programs that present reasoning, planning, and reminiscence,” was arguably essentially the most formidable AI announcement throughout the day’s two-hour keynote. The naming, very like Mission Starline, says all of it. Fittingly, the conversational tech was demoed with the digital camera app on a cellphone and a pair of sensible glasses.

“It is humorous as a result of it is like the right {hardware},” Brin responded when requested about Mission Astra and the way its potential wearable kind issue compares to the now decade-old Google Glass. “It is just like the killer app now, 10 years later. (I simply want I) had timed {that a} bit higher,” the Google co-founder added.

Whereas the rise and fall of Google Glass is a narrative in and of itself, the imaginative and prescient of the product has made a dramatic comeback lately because of AI and the pursuit of discovering one of the best {hardware} to go well with it — whether or not that be glasses, lapel pins, or orange squares. Brin’s choice? One thing that is hands-free, wearable, and not a cellphone.

Past the {hardware}, what actually excites Brin — and was the first motive for his return to Google after retiring in 2019 — is AI. Since rejoining the corporate in 2023, as reported by The Wall Avenue Journal, Brin has been integral in creating Google AI merchandise like Gemini, which continues to increase as the final mannequin spine of varied Google units and companies.

At I/O this 12 months, Google unveiled an up to date Gemini Professional 1.5 mannequin, able to being fed two million tokens (up from a million) to be able to maintain longer conversations and course of larger-sized paperwork. Essentially the most spectacular half, to Brin, is the generalizability of the AI mannequin, from with the ability to pull summaries from a number of Gmail messages to coding, the co-founder’s favourite AI use case. 

“Being a pc scientist, I wish to part of that (AI),” mentioned Brin. “I am unable to think about a greater time to be a pc scientist than now.”