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Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

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Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#382
post #316

Did I get this right? Bard – old name of their generative AI service, to be called Gemini Duet AI – old name for their generative AI in Google Workspace, to be called Gemini Gemini – three things: 1. the name of their models (like GPT). 2. the new name of their free service (like ChatGPT), gives access to Pro 1.0 but not Ultra 1.0. 3. the new name of the Generative AI tools in Google Workspace. Gemini Advanced – the…

Gemini is four things: The new mobile app is also called Google Gemini. Except on iOS, where Gemini is integrated into the Goople app instead. Also, while Gemini Advanced is supported in , this list is not the same as the the Google Gemini app is supported in on the Play Store. Make sure you check this before you spend money on your upgraded Google One subscription.

> The new mobile app is also called Google Gemini.

Only in the U.S. for now.

The Gemini app initially will be released in the U.S. in English before expanding to the Asia-Pacific region next week, with versions in Japanese and Korean. https://www.independent.co.uk/news/google-ap-chatgpt-san-fra...

Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#383
post #334

Earlier quoted context omitted.

It’s sad that a company of very smart people can’t figure out coherent naming. Can you imagine Apple causing confusion like this? I know it’s not a like-for-like comparison, but everything Apple does it seems like they have a grand strategy that’s clear for everyone to see. Things build up in a modular way to fit a big puzzle. Google, on the other hand, constantly makes up things on an ad hoc basis.

> Messy branding is now par for the course at Apple. The iPad line alone is something out of a Dell catalog: iPad, iPad 10thgen, iPad Air, iPad Mini, iPad Pro. a comment from another thread this morning- https://news.ycombinator.com/item?id=39300741

I mean, Air, Mini, and Pro are all distinct form factors. It's confusing only to the extent that you might not know which one is "best" from a CPU/memory/storage POV. But Apple has succeeded for iOS products at least at making that distinction mostly meaningless: pick the form factor you want, then pick the storage capacity and sometimes the color, you're done.

Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#384
post #334

Earlier quoted context omitted.

It’s sad that a company of very smart people can’t figure out coherent naming. Can you imagine Apple causing confusion like this? I know it’s not a like-for-like comparison, but everything Apple does it seems like they have a grand strategy that’s clear for everyone to see. Things build up in a modular way to fit a big puzzle. Google, on the other hand, constantly makes up things on an ad hoc basis.

naming things is hard is one of the cultural difference between a computer-first logical mindset contrasted with the mathematics-first mindset the mathematics first mentality does not properly recognize the importance and the difficulty of having good names for things, whereas the computological view recognizes both: the importance and the difficulty

How many mathematicians do you know? All the mathematicians I know are interested in both notational and linguistic clarity.

Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#385
post #358

Earlier quoted context omitted.

Maybe not quite the same, but I will point out that “Apple TV” and “Apple TV+” are not just two distinct products, but are in fact entirely different categories of product. One is a piece of hardware akin to a Roku. The other is a streaming service akin to Netflix.

I use both and I haven’t found it too confusing, to be honest. I just think of it as Apple TV (streaming device) gives access to Apple TV+ (streaming service).

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Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#386
post #82

In the 20 minutes of experimentation, I'm really impressed with the quality of Bard Advanced (Gemini Ultra). The results are as good as GPT-4, and in some cases is better. So far: pros: - better at translation (tried Chinese and Japanese idioms to English) - better at incorporating search results in its answer vs gpt-4 bing cons: - slightly worse at coding - censorship is more annoying (have to ask multiple times abo…

so I have done a lot of transcripts, coding, one versus the other (gpt4 vs ultra). Often simple prompts like refactor this code or convert this python to typescript.

My experience is that Gemini ultra understands the code better, but doesn’t always give me as complete of results (they seem to limit output length more)

Beyond that it is very smart. I’ve had to tell me this code packs 12 bit integers into different parts of an array using the following encodinv. Which most people would not figure out from the code as written. It then will say you can actually do that with this neat little translate function that you never knew about.

It will then get the code very slightly wrong. if I tell it not to use the cool function, it will actually get the code, right.

GPT4 has no idea what the code is doing but can clean it up a bit.

so it’s like ultra is too clever by half sometimes.

That said, I have fed thousands of lines of code into both of them and asked them to refactor it, and neither one of them made more than one error. All code otherwise compiled and worked first try.

this is code that can’t possibly be in their training sets, it’s basically handwritten python that was written, based on an old x86 binary that nobody has the source to anymore. so the code is basically garbage, and what it is doing doesn't, say, appear on GitHub in a nicer form.

Both gpt4 and Gemini ultra were able to make the code, look like clean, idiomatic, python, or typescript without any work on my part. except for the one bug each. which, for 8000 to 10,000 lines of code is not bad.

The GPT4 inserted bug was more insidious. It changed (the equivalent of) (uint8)'a' to (uint8)'a' - '0' for no reason when converting some code to typescript. Not sure if that is representative of anything

if I do the same with any of the other “top” models ( from can ai code, etc), most of them can’t even generate correct working code for all the input, let alone good code. Most aren't even close.

Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#388
post #336

Earlier quoted context omitted.

You should check out the rabbit hole of Google's various payment systems/apps. GPay, Google Pay, Google Wallet, Android Pay, etc. All the different the ways those brands (and more?) were used to describe multiple services and apps that had wildly different capabilities, sometimes varying by region, with several instances of them bringing back a previously used name for something completely different.

There for a while, Google had two different applications called "Google Messenger"

They also had an app called duo. And an app called Meet. And then Duo was renamed to "Meet", and Meet was renamed to "Meet (original)"

Re: Bard is now Gemini, and we’re rolling out a mobile app and Gemini Advanced

#389

Earlier quoted context omitted.

Such a weird test. 99.9% of humans wouldn't even understand the question, let alone be able to formulate a coherent answer for it.

Being able to answer these questions is a pre-requisite for AGI. After all, there ARE humans capable of doing that, so, if the AI can't do it no matter how hard it tries, then that means there ARE human capabilities that the AI can't replicate (thus, it isn't an AGI). And it seems like no LLM is making any progress at all in that kind of prompt, which is why I use it as a core benchmark on my "AGI-meter".

Though humans aren't able to do it in a chat session. Being able to work on the problem in the background for a couple days may be a prerequisite for AI to solve these problems. And such would require money from the asker.
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