Gemini sounds cool and sci-fi though, and maybe it's a bit easier to localize since it's just straight Latin.
I do not have refined tastes. My b.
> We are not talking here about the rain he brings on each time exercises his vocal cords, but rather about the prevailing atmosphere in the village: when it is time to party, when wild boar are roasting on the spit, you can be sure to find Cacofonix tied hand and feet with a gag in his mouth.
Well, it is one. I wish they'd choose a slightly more unique name but camping on well-known words is a beloved tech tradition.
WTF? Do people normally think about words in this way, utterly divorced from their meaning?
If there are these "Feelings" around these words, how is any sentence correctly taken at face value. How does one communicate to these people the direct and correct meaning of the terms used.
For example, sentence sounds like seance, do they feel like i'm asking the spirits of the dead ?
Correct sounds like wrecked, do they assume that everything is broken in the above sentence.
Is communication with fraught with unknown minefields of unintended emotions and misundestandings ?
(on top of the more obvious references)
> The story concerns [...] an old Bard, a child's computer whose sole function is to generate random fairy tales. The boys download a book about computers into the Bard's memory in an attempt to expand its vocabulary, but the Bard simply incorporates computers into its standard fairy tale repertoire.
> "the little computer knew then that computers would always grow wiser and more powerful until someday—someday—someday—…"
https://blog.gdeltproject.org/llm-infinite-loops-failure-mod...
It's not a text-based LLM that was later adapted to include other modalities. It was designed from the start to seamlessly understand and work with audio, images, video and text simultaneously. Theoretically, this should give it a more integrated and versatile understanding of the world.
The promise is that multimodality baked in from the start, instead of bolting image recognition on to a primarily text-based LLM, should give it superior reasoning and problem-solving capabilities. It should excel at complex reasoning tasks to draw inferences, create plans, and solve problems in areas like math and programming.
I don't know if that promise has been achieved yet.
In my testing so far, Gemini Advanced seems equivalent to ChatGPT 4 in most of my use cases. I tested it on the last few of days worth of programming tasks that I'd solved with ChatGPT 4, and in most cases it returns exactly what I wanted on the first response, compared with the a lengthy back-and-forth required with ChatGPT 4 arrive at the same result.
But when analyzing images Gemini Advanced seems overly sensitive and constantly gives false rejections. For example, I asked it to analyze a Chinese watercolor and ink painting of a pagoda-style building amidst a flurry of cherry blossoms, with figures ascending a set of stairs towards the building. ChatGPT 4 gave a detailed response about its style, history, techniques, similar artists, etc. Gemini refused to answer and deleted the image because it detected people in the image, even though they were very small, viewed from the back, no faces, no detail whatsoever.
In my (limited) testing so far, I'd say Gemini Advanced is better at analyzing recent events than ChatGPT 4 with Bing. This morning I asked each of them to describe the current situation with South Korea possibly acquiring a nuclear deterrent. Gemini's response was very current and cited specific statements by President Yoon Suk-yeol. Even after triggering a Bing search to get the latest facts, the ChatGPT 4 response was muddy and overly general, with empty and obvious sentences like "pursuing a nuclear weapons program would confront significant technical, diplomatic, and strategic challenges".
Each twin had different capabilities. Pollux was a powerful warrior while Castor was an intellectual tactician.
The twins possessed an extraordinary fraternal bond, each loyal and devoted to protecting the other.
Together, they accomplished what they couldn't do individually. Their combined strengths made them far more effective than either could be alone.
Just as text, images, audio and video convey different knowledge, relationships and reasoning than text by itself, their combined strengths in a single model should be more powerful than any model trained on only one modality.