AI Weekly: Defining, debating and honoring AI innovation


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It’s the start of Satisfaction month. At VentureBeat, it’s additionally the start of a six-week-long deep dive into AI innovation, culminating in our fourth annual AI Innovation Awards to be offered at Remodel 2022 on July nineteenth in San Francisco.

We’re enthusiastic about our superb nominating committee that, together with members of our editorial workers, will assist select our AI Innovation Award nominees in 5 classes this yr.

Innovation, in fact, has many definitions and is available in many types. In the case of AI, unbelievable, jaw-dropping innovation is commonly accompanied by eye-rolling emojis, extra questions than solutions and even an industry-driven problem to Elon Musk.

However AI innovation additionally results in new efforts to implement finest practices to rigorously deploy highly effective know-how, like in the present day’s announcement from Cohere, OpenAI and AI21 Labs that they “have developed a preliminary set of finest practices relevant to any group creating or deploying massive language fashions.”

Let’s dig in.

– Sharon Goldman, senior editor and author

Twitter: @sharongoldman

This week’s AI beat

The idea of innovation, in keeping with Wikipedia, has gone via quite a lot of definitions over the centuries: The Greek thinker and historian Xenophon (430–355 BCE) related it to political motion. The time period was an “early-modern synonym for ‘rise up’, ‘revolt’ and ‘heresy.’” Solely after World Conflict II did the notion of technological innovation develop into tied to the thought of financial development and aggressive benefit — popularized by Austrian-born political economist Joseph Schumpeter.

Immediately, dozens of press releases sail into my inbox each week touting “revolutionary” AI-driven services and products. However, not surprisingly, even essentially the most revolutionary efforts don’t typically take pleasure in a straight-up trajectory, however should naturally transfer via an iterative, collaborative, debate-filled, critique-driven course of — which can or might not result in profitable real-world purposes. Not less than not but.

Take the present competitors for the chief of the AI imagery pack, with Imagen, Google’s new text-to-image generator, taking up OpenAI’s DALL-E 2 final week. Every exhibits off outstanding photo-realism and claims deep-language understanding.

However what to make of this week’s Twitter feather-fluff over some claiming that DALLE-2 has a “secret language?”

The inevitable commentary from “grumpy linguists in NLP” was rapid, adopted by a wave of LOL responses claiming that not solely does DALL-E-2 seemingly not take pleasure in entry to a “secret” language however, for the time being, appears to have a troublesome time with textual content in its imagery usually:

Janelle Shane
My new favorite thing is #dalle messing up corporate logos. Here's #dalle prompted with "the local waffle house"
Randall Munroe
From Canda you can head over the border to the Untes Sates ?? #dalle

All joking apart, at VentureBeat we stay up for honoring the most effective in AI innovation on the AI Innovation Awards at Remodel 2022.

Because of our nominating committee members:

Tonya Custis, director of AI analysis, Autodesk

Seth Dobrin, world chief AI officer, IBM

Andrea Huels, head of AI, Lenovo North America

Di Mayze, world head of knowledge and AI, WPP

Stephanie Moyerman, senior director of threat and belief science, eBay

Shawn Wang, chief AI officer, Anthem

And keep tuned for information in regards to the last nominees and winners!


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