Absolute shit. Comparing it to Sonnet 3.7 is an insult. # Is Eiffel Tower or a soccer ball bigger ? > A soccer ball is bigger than the Eiffel Tower! Here's a breakdown: > Eiffel Tower: Approximately 330 meters (1,083 feet) tall. > Soccer Ball: A standard soccer ball has a circumference of about 68-70 cm (27-28 inches). > While the Eiffel Tower is very tall, its base is relatively small compared to its height. A socce…
Gemma 3n preview: Mobile-first AI
161–170 of 179 posts
Re: Gemma 3n preview: Mobile-first AI
#162Earlier quoted context omitted.
>anything redolent of interaction with intelligence compared to what you are used to right? I know it's elitist but most people My circle of people I talk with during the day has changed since I took on more charity which consists of fixing up old laptops and installing Ubuntu on them; I get them for free from everyone and I give them to people who cannot afford, including some lessons and remote support (which is ea…
> but most people This is incorrect, IQ tests are normally scaled such that average intelligence is 100, and such that they are approximately normally distributed so that most people will be somewhere between 85-115 (66% on average).
85 is special housing where I live... LLMs are far beyond that now.
Re: Gemma 3n preview: Mobile-first AI
#163Earlier quoted context omitted.
There's a 7B mentioned in the chat arena ELO graph, I don't see any other references to it though.
Hi! The model is 8B if you also load the vision and audio components. We just used the text model in LMArena.
Re: Gemma 3n preview: Mobile-first AI
#164Earlier quoted context omitted.
They earn from in-app purchases too!
Not anymore! Only half joking. I really do think the majority of that revenue will be going away.
Re: Gemma 3n preview: Mobile-first AI
#165Earlier quoted context omitted.
Thank you, that helped a bit, although it's still not clear what exactly those parameters _are_. "Per-Layer Embedding (PLE) parameters that are used during model execution to create data that enhances the performance of each model layer." is too vague, and I can't find any other reference to "per-layer embedding parameters" in literature.
A layer is a transformer block / layer (basically the building block of the modern LLM architectures) - maybe Gemini can help you: https://gemini.google.com/share/cc58a7c6089e
Re: Gemma 3n preview: Mobile-first AI
#166Earlier quoted context omitted.
>anything redolent of interaction with intelligence compared to what you are used to right? I know it's elitist but most people My circle of people I talk with during the day has changed since I took on more charity which consists of fixing up old laptops and installing Ubuntu on them; I get them for free from everyone and I give them to people who cannot afford, including some lessons and remote support (which is ea…
> but most people This is incorrect, IQ tests are normally scaled such that average intelligence is 100, and such that they are approximately normally distributed so that most people will be somewhere between 85-115 (66% on average).
You both are saying the same thing.
IQ is defined such that both average and mean would be equal 100. The combination of sub-100 and exactly-100 would be more people than above-100, hence "most people <=100 iq".
Re: Gemma 3n preview: Mobile-first AI
#167Earlier quoted context omitted.
> but most people This is incorrect, IQ tests are normally scaled such that average intelligence is 100, and such that they are approximately normally distributed so that most people will be somewhere between 85-115 (66% on average).
> but most people > average intelligence is 100 You both are saying the same thing. IQ is defined such that both average and mean would be equal 100. The combination of sub-100 and exactly-100 would be more people than above-100, hence "most people <=100 iq".
Re: Gemma 3n preview: Mobile-first AI
#168Earlier quoted context omitted.
> but most people This is incorrect, IQ tests are normally scaled such that average intelligence is 100, and such that they are approximately normally distributed so that most people will be somewhere between 85-115 (66% on average).
Yep and those people can never 'win' against current llms, let alone future ones. Outside motorcontrol which I specifically excluded. 85 is special housing where I live... LLMs are far beyond that now.
Re: Gemma 3n preview: Mobile-first AI
#169Earlier quoted context omitted.
> but most people > average intelligence is 100 You both are saying the same thing. IQ is defined such that both average and mean would be equal 100. The combination of sub-100 and exactly-100 would be more people than above-100, hence "most people <=100 iq".
Both average and mean, you say.
Re: Gemma 3n preview: Mobile-first AI
#170Earlier quoted context omitted.
People say nonsense all the time. LLMs also don't have this issue all the time. They are also often right instead of saying things like this. If this reply was meant to be a demonstration of LLMs not having human level understanding and reasoning, I'm not convinced.
Not people, some people. But a LLM is sometimes the genius and sometimes the idiot. That doesn’t happen often if you always talk to the same person
But for LLMs these kinds of illogical statements are common.
LLMs don't think; what they do cannot be in good faith called "thinking" by any definition.