Google has quietly pushed back the launch of next-gen AI model Gemini until next year, report says::Google, which aimed to have its conversational AI model Gemini launch in November, has quietly pushed back the much-anticipated debut to early 2024.
Google has quietly pushed back the launch of next-gen AI model Gemini until next year, report says::Google, which aimed to have its conversational AI model Gemini launch in November, has quietly pushed back the much-anticipated debut to early 2024.
This is the best summary I could come up with:
The world will have to wait a little longer before we can experience the launch of Google’s most complex artificial intelligence model to date.
Gemini has been described as the next generation of AI and multimodal, meaning it can process multiple types of data and is said to have the capacity to understand and generate text and images as well other types of content — like websites — based on a sketch or written description.
The Information, citing two anonymous sources with knowledge of the decision, reported that previously unannounced launch events — originally scheduled to take place next week in New York, Washington, and California — have been quietly rescheduled for early 2024 over concerns the AI wasn’t reliably up to snuff when responding to some non-English prompts and inquiries.
While it has yet to be released for public use, Gemini has been said to strongly outperform OpenAI’s GPT-4 as it harnesses vastly more computing power than its competitor.
“I’ve seen some pretty amazing things,” Business Insider previously reported Sissie Hsiao, Google’s VP and manager of Bard and Google Assistant, has said about Gemini: “Like, I’m trying to bake a cake, draw me 3 pictures of the steps to how to ice a three-layer cake, and Gemini will actually create those images.”
Though already Google has its own generative AI model called Bard, ChatGPT has so far enjoyed stronger consumer awareness — but analysts argue that could change when Gemini finally launches.
The original article contains 282 words, the summary contains 241 words. Saved 15%. I’m a bot and I’m open source!