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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

#301

This is an impressive product, well done Google. There is a PM in there somewhere who knows what they are doing, kudos to you. Prediction: they get to 6-7 digit number of paying customers, decide it is peanuts for them (~$20M/mo) and instead decide to push the free version with ads with full force as the future of search.

I take it for granted that all these services are going to be free. They are a goldmine for behavioral and persuasion engineers. I just hope we end up with at least a duopoly this time instead of monopoly

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

#302
post #271

Gemini Ultra seems better on logic than GPT4. Still messing around testing but here's a prompt Ultra nailed but GPT4 completely botched: Tabitha likes cookies but not cake. She likes mutton but not lamb, and she likes okra but not squash. Following the same rule, will she like cherries or pears https://i.imgur.com/KW6gQbc.jpeg https://i.imgur.com/OSHSvLp.png

Please anyone correct me if I'm wrong: LLMs cannot solve this kind of riddle. This has nothing to do with their capabilities for logical reasoning, but with the way words are represented as tokens. While they might know that "apples" has two syllables because that is mentioned somewhere in their training data, if you make up a fruit "bratush" a human will see that as two syllables, but this might be 1 to 7 tokens to…

ChatGPT knows how to answer this question, but how I don't know. Perhaps it's programmed to answer that question?

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

#303

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…

bard(RIP) was powered by gemini which was powered by palm2 or something, which was powered by deepmind which was powered by google which was powered by alphabet or sth

Let s hope the name sticks for more than 2 months

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

#304
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…

Question for you - > better at incorporating search results in its answer vs gpt-4 bing How are you getting it to incorporate search results in its answers? I can't for the life of me get it to find any real-time external data except for the 5 official 'extensions' under settings, which are for Flights/Hotels/Maps/Workspace/YouTube. Did you mean that, or have you found a workaround to get Bard to actually search on G…

I got it quickly with the question: > what is the difference between polyptyton and antaclanasis

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

#306
post #271

Gemini Ultra seems better on logic than GPT4. Still messing around testing but here's a prompt Ultra nailed but GPT4 completely botched: Tabitha likes cookies but not cake. She likes mutton but not lamb, and she likes okra but not squash. Following the same rule, will she like cherries or pears https://i.imgur.com/KW6gQbc.jpeg https://i.imgur.com/OSHSvLp.png

Please anyone correct me if I'm wrong: LLMs cannot solve this kind of riddle. This has nothing to do with their capabilities for logical reasoning, but with the way words are represented as tokens. While they might know that "apples" has two syllables because that is mentioned somewhere in their training data, if you make up a fruit "bratush" a human will see that as two syllables, but this might be 1 to 7 tokens to…

Well I tried it out in GPT4 with made up words-

Tabitha likes bratush but not zot. She likes protel but not kig, and she likes motsic but not pez. Following the same rule, will she like tridos or kip

Given the examples, one speculative pattern could be that Tabitha likes words with at least two syllables or a certain complexity in structure. Therefore, following this speculative rule, Tabitha might like “tridos” more than “kip.”

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

#307

I'm surprised that it generates wrong english words, I never saw it with ChatGPT. "Approach: Atemplating language designed specifically for generating JSON data structures (which can then be easily converted to YAML for Kubernetes)." "Atemplating".

Text watermarking? /s

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

#308

This is an impressive product, well done Google. There is a PM in there somewhere who knows what they are doing, kudos to you. Prediction: they get to 6-7 digit number of paying customers, decide it is peanuts for them (~$20M/mo) and instead decide to push the free version with ads with full force as the future of search.

Generally with these things FAANG companies do everything all at once. The "free" version in development is Google search + GenAI results + ads that's live right now and getting better every day.

The real product isn't is this particular interface, the real product is the Gemini infrastructure that is being integrated into every Google product.

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

#309

Gemini Ultra seems better on logic than GPT4. Still messing around testing but here's a prompt Ultra nailed but GPT4 completely botched: Tabitha likes cookies but not cake. She likes mutton but not lamb, and she likes okra but not squash. Following the same rule, will she like cherries or pears https://i.imgur.com/KW6gQbc.jpeg https://i.imgur.com/OSHSvLp.png

If we want to test these beasts in logic, we should probably start using actual formalized logic, rather than English. In just one test, Gemini flopped hard, while GPT-4-Turbo nailed it. Here is my prompt: Below is a well-typed CoC function: foo : ∀(P: Nat -> *) ∀(s: ∀{n} -> ∀(x: (P n)) -> (P (n + 1))) ∀(z: (P 0)) (P 3) = λP λs λz (s (s (s z))) Below is an incomplete CoC function: foo : ∀(P: Nat -> *) ∀(f: ∀{n} -> ∀(…

Gemini destroyed by facts and logic.
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