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Abner Li

technacity

Send tips/talk to abner@9to5mac.com or @technacity (open DMs).

Abner Li has worked at 9to5Google since 2015 and in late 2020 took on the role of editor-in-chief. He is keenly focused on tracking what happens at Google, and is often the first to spot new features in Google’s ever-growing family of applications that are updated on a daily basis, including Search, Assistant, Maps, Workspace, Android, Chrome/OS, Wear OS, and YouTube Music.

To him, what Google does greatly impacts the technology space and modern life. Inside the company, he is particularly interested in the key products mentioned above, as well as services like Google Podcasts and Google Lens. Each are massive platforms that can be unwieldy to grasp, with Abner keenly bent on understanding their philosophy and future direction. He is most excited about Google’s plans for augmented reality glasses.

Abner spearheads the APK Insight program at 9to5Google to chronicle all changes in the company’s Android apps, often finding new features before they are officially announced. This includes redesigns and revamps, launches, and new products.

A big area of interest is Google’s hardware division, including Pixel, Fitbit, and Nest. He detailed all of the Pixel 3’s camera features before launch and scooped the 2nd-generation Nest Hub’s Soli-powered Sleep Sensing capability, including how it would integrate with Google Fit.

Recently, Abner detailed the Pixel Watch’s specs in full before launch, including bands and pricing. He also got wind of the Pixel Tablet’s ultimate form factor.

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No, Bard can’t leak Pixel news, release dates, or anything else about Google products

Large language models (LLMs), like Google Bard, are trained on “trillions of words” to learn how humans talk and predict/generate the next words in a sentence that make for a good response. However, this technology is not actually aware of what’s factually correct. Given the newness of it, some are – understandably – not yet aware of this fact. In the case of Bard, one particular phenomenon that has occurred days, if not hours, after the early access launch is that people are equating its responses with official Google news and announcements. 

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Google has tasked the Assistant team to work on Bard

The conversational aspects of generative AI and large language models (LLMs), like LaMDA, make it ripe for smart assistants. Google specifically mentioned Assistant two years ago as a product where it hopes to incorporate “better conversational features.” That has yet to happen, but the Google Assistant team is helping lead Bard development.

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