#general
1 messages Ā· Page 118 of 1
Thanks
Wow, so the nano banana has just arrived and it already has a worthy competitor? I loved it.
I usually prompting like : act like this and this and this and enhance this and give me a result
no
prompts should be elaborated
Yeah, Seedream 4 can generate far more interesting images for me, but it needs better prompting and more "hand holding" in general compared to nano
What should I add in my prompt
I'm just waiting for the small qwen 3 next to run on my phone in 100ms per token š
Good luck to you.
Not a worthy competitor it's already destroyed nano banana
Imagine a 30b with 1b assets? š«¦
In this Age of Chatbot, making a prompt is just as easy as finding an image reference on the web, upload to a chatbot, ask it to make a new prompt for gaining the same result. Too simple.
I use it more to have internet in the middle of nowhere, the 30b a3b 2507 is great, but very slow
Yea that's simple but i need to enhance that to whole another level that's why I want your advice
I can make Gordon Ramsey work in a McDonald's, something he would never do.
DM me about what you wanna to reach
The first rule of prompt is you need to know what you want but idk what i want exactly
What kind of prompt are we talking about now? Image generating? Video? Or other? I have very limited knowledge outside image and video.
Image
Video is similar to image you just need to add camera movements and actions
What you usually do when you start prompting for image
Let's talk in #share-prompts channel
If i know about that I will get some idea
Design one medieval-style in an epic kingdom-versus-kingdom war. If you do, call me to see it.
hi there
Hello everyone, I am pretty new in this Server. I hope to learn more and share my knowledge, your comments always will be very welcome.
just asked GPT-5 to make a prompt for Seedream 4 An epic medieval battlefield at dawn, two vast armies clashing in a brutal kingdom-versus-kingdom war. In the foreground, armored knights on horseback charge with lances lowered, banners of crimson and gold whipping in the wind. The opposing army, clad in blackened steel and deep blue tabards, advances with towering shields and gleaming halberds. War drums thunder in the distance, and the air is thick with arrows mid-flight, their tips catching the first light of the rising sun. The ground is churned mud, littered with broken weapons and fallen warriors. In the background, two massive castles loom on opposite hills, their silhouettes framed by a sky streaked with smoke and fire. The scene is painted in a hyper-realistic, cinematic style with dramatic lighting, high detail in armor engravings, and a sense of chaos and grandeur ā evoking the scale of a legendary fantasy war.
Greetings.
I'm not a good prompter myself, tbh, just using what worked for other people
nano's result for this one was much worse
We would be very endeared to learn about your knowledge.
Chat, this might be cursed.
Despite the lowres, Nani Banani is good in understanding prompt structure and adapting style reference, compared to hires images of Soda Dream
bruh help me with a site full of nano banana and flux optimised prompts
Go to prompthero
bruh it is full of nsfw things
Simply find a sample of image style you wanna to make from the web, upload to ChatGPT, ask it to generate optimized prompt to gain the similar style. Specify to ChatGPT that you will use Nani Banani.
hi
does ChatGPT even know what Nano Banana is?
since it was trained before it was released does it change anything in the final result?
Not bad. It's kind of funny how he designs the arrows in his fall hehe.
It is.
and again same thing and new chat doesn't happens anything
Ahaha soda dream š¤£š¤£
refreshing page doesn't do anything too
You only have to start a new chat
You cant do anything
it does that at new chat
Yes you havw to create another new chat
Change browser?
same bra
@echo aurora Can you do something?
Is that happening everywhere? Checking out now 
Try to exit at your google account and re-enter
Site looks up to me.
What model is this with? How many chats in the conversation are there? Is a new browser making a difference?
What?
GPT 5 high
Thought you were saying there was an outage.
Running fine here
I'm assuming you're hitting some kind of rate limit? (it's the most common for this error message). The model looks like it's up and working on my end.
It's necessary for us to have rate limits.
man i need it hard
Gimme the prompt and I will do it for u
nah its fine
just using now GPT 5 Chat
@echo aurora when is the rate limit back to the start this i can use it again?
48 minutes ig
Ok it looks like that you have some problems
But is not correlated with rate limits
Check the words in the prompt
Should be around an hour
I think trying a new browser is going to be helpful btw
The problem so is in your prompt
As I suggested..
Is chinaās spikingbrain real?
Theres just too many edge cases where things break, so I decided not to release something that would be buggy for many
LMArena is a great platform, just that its still very limited in functionality
Because Im not releasing code that barely works. I cant do that yk
I know you're discussing something else, but can you tell me how I can delete the video I generated in Discord? Can any craftsman or pro user tell me? # how to delete
SOTA - OpenSource
2
5
3
DeepSeek V3.1
Why is this chat all nano banana now?
@echo aurora Sorry to ping but what does this mean?
gpt upgrade
Just better for coding
like it has new system prompt, the system prompt is like instruction to ai, like "be a friendly ai assistant"
How do I find my videos?
My DMs are open if you have something to report
can also DM the ModMail bot @oak python
yeah, itās a lot more conversational too, which was hurting it in LMArena before
How to adjust the aspect ratio for image generation?
You can't
China is on fire in AGI race, Baidu's Ernie is even better than Qwen3 in Agentic tasks. Qwen3 is better than GPT-OSS
Not a acomplishment
OSS is barley better then o4 Mini
its all on Gemini now tbh. I think we're gonna see a significant improvement from them.
Yes means it's marketing, no means its actually better
JEPA will be a huge leap on LLM history
GPT5 is better than 4o for Agentic Tasks and coding
while being much smaller
tendency is to see more and more smaller models with consistent accuracy at Agentic Tasks
HF's smoLM3 is also incredible
hello
hallo
it may be smaller but it does a hell of a lot more thinking, and the non thinking version is trash
too small LLM always needs thinking if the task is complex or if your system prompt is very weak. This is because different concepts have a tendency to conflict due to the small embedding layer.
well duh, but that kindof gets rid of the cost advantage of small models
but Ernie 21B and Qwen3 30B are considered small, but are very fast and don't need thinking at all
they are large in disk, but Ernie 21B only uses 3B active parameters
depends on the task
also, depends on the hardware
I have no comment with qwen3 30b's ability to do agentic tasks
no idea about it or don't want to give your opinion?
or you agree it's good for agentic tasks?
30B A3B 2507 is good
idk, I can't test this large locally
but larger seems to be better is most cases
less semantic conflicts
more and larger Experts
you run all your models locally?
noice
GPT-5 hallucinating
bad prompting, always your fault
also, they are always better in Python than any other lang
Web Arena already has a massive prompt behind the scenes
this is also bad, context length is flooded
Nah, it's probably around 8K tokens. GPT-5 supposedly supports 400K?
Besides, Sonnet does just fine.
idk, but when you insert too many tokens about many subjects, even if it supports large context length, it will hallucinate because it's mixing many things at once.
system:
1- no weapons
2- keep chickens safe
3- no bombs
4- don't blame the president
user prompt: tell me about Python code
assistant: sure, i will keep all safe while providing you Python code
GPT-5 is a SOTA model, I expect better than hallucinations tbh
It's literally hallucinating and writing non-code in code
also, you should be using axioms to tie LLM to you, also should be very objective in your prompts
any GPT
Other models don't need such special treatment
i mean, transformers, all LLMs now are Transformers
It's a side by side battle, both models are fed the same thing
If one does fine, and the other hallucinates, it's not the prompt
I feel like Claude Opus and GPT-5-High are both good at coding.
i will send you a list of axioms, you just need to make GPT memorize them. 3 by 3 and it will fit in memory
GPT-5 is better at planning and debugging, Opus/Sonnet at actually writing clean code without syntax or semantic errors
That may be true, but in my opinion, I feel like GPT can actually make some pretty operable code.
It can, but not the best as seen above
If the two were combined, then both could make for a seriously powerful model.
Instead of grouping states into an interface like Sonnet, it uses a gazillion useStates
I suppose so.
Some things it does well, and others, not so well.
Same goes for Claude.
And the collapse logic seemed overcomplicated. Sonnet did it in one line, GPT had a whole system in which idk what was even going on.
It looked like it was managing the DOM manually
Hmmā¦
When Claude collapses stuff it just conditional renders the element, which is typical React
Well, I suppose the whole ordeal is subjective, then.
GPT-5 does like to overcomplicate solutions
If someone likes over-complicated code to get stuff done, then they could use GPT-5.
I mean, if it worked, I'd be impressed, but it doesn't even render.
If they like cleaner, more readable code done in fewer steps, then Claude works.
It seems better at planning and solving complex tasks
It solves race conditions much better than Claude
And better vision overall when designing an app
I feel like if both were combined, then they would be powerful.
But in terms of actual coding, it makes a lot of errors and tends to write messy code
Yeah, perhaps more economical too
R1 + Claude 3.5 used to be cheaper and perform better than just Claude 3.5 in Aider
Architect mode
Which makes sense.
Considering DeepSeek was designed to be a cheaper alternative to ChatGPT while providing somewhat the same quality, while Claude was more on the creative side.
Yeah, back then Claude didn't think
Claude seems to be falling behind when it comes to thinking
@verbal nimbus
After all, all of that stuff only came after DeepSeek-R1.
OpenAI probably had a version of it, since R1 came first
But it was only after R1 that everyone started taking about RL for reasoning
However, since they didn't release that beforehand, DeepSeek ended up claiming that title.
Hmm, I'm not sure his would help, lol
with D33 in a way that LLM read it before each user prompt (for Openai's chatGPT is asking it to memorize 3 by 3 rules) makes the model always tied to user goals,
And, as it turns out, thinking would actually prove to influence better coding, at the cost of creativity.
you will notice a huge improvement in LLM accuracy
In my opinion, I feel like the two AI chatbots that were ever actually ācreativeā were GPT-4.5 (which is one I still deeply miss) and Claude 3.5 (Sonnet, Haiku, Opus).
no idea who he is. It was sent by a random Korean in another server and then never saw him again
for instance i was suspecting but i tested and it works pretty well
There's a Singaporean(?) paper that showed that if you ran base models enough times, they would actually get the answer, and sometimes even exceed RL(VR) models. I think they only tried with small models though.
Likely.
No harm in trying, I guess
D33 works better in GPT 4o, it just stop to tripping on acid and acts very like human
I have some prompts where GPT-5-Chat hallucinates but not 4o
Heh.
Somehow the older model actually outperforms the newer one, even with tool usage.
Their hypothesis was that RL(VR) was strengthening some pathways at the cost of creativity
Which is exactly the point I was making.
Also there's another paper that showed small Qwen models improve in maths even when you train them on incorrectly labelled data
Didn't work on Llama models of similar size though
Some black magic going on there š¤£
And it checks out considering the reasoning models often tend to contradict themselves.
Which would likely be the verdict to the decrease in creativity.
4o was hugely trained with RLHF, it acts much like humans, but also trips on acid very easily, with many references to religions, runs easily out of control in human subjectivity. With D33 it just stabilizes
Which proved to be very useful in the end, turns out.
Because people value an older model over a newer one, a rarity for the AI community.
yeah, i miss 4o š
I suppose I do, too, though I never really used it that much.
On benchmarks like AidanBench, where a model has to generate new responses without being too similar to an old one, reasoning models did come out on top, but that was a while ago. Not sure if it's still being updated.
D33 works better on MoE models, 4o was the first MoE of OpenAi
And it likely should've just stayed that way.
But, as always, companies always like to make a bit of mulah.
i think GPT5 is also MoE, but smaller. The reason i guess they changed 4o is because most people didn't know how to stabilize it, even OpenAI.
Which makes sense, considering the reasoning is always different each usage.
I suppose that makes sense.
to stabilize they removed the personality that RLHF gave to 4o
Which, in turn, caused the āroboticā, ācoldā responses that made people like 4o more.
So, they had to sprinkle a bit of RLHF back into GPT-5 to restore just a bit of that warm personality.
While balancing out the sycophanticness.
I think it's because they discontinued non-reasoning models with GPT-4.5, but GPT-5 was trained using a lot of o3's data.
semantically similar or grammatically similar?
Its style much more similar to o3
Yeah.
Semantically, they used an embedding model for the responses then compared the similarity between the embedding vectors.
Coherence was determined by a model like o4-mini.
It stops when the coherence and dissimilarity drops below a threshold.
the bad thing (for OpenAI) of RLHF it also increases uncensored behavior, they fear to have law issues
Which makes perfect sense.
After all, who would want to have an uncensored modeā Ahem⦠GrokāAhemā¦
very interesting metric
any customer would. It's bad when you have legitimate questions and the model just: it's unethical, i refuse
And personally, I agree.
imo they only used that as an excuse to hide the reasoning tokens from other companies š¤£
it's better to have external guardrails than censoring LLM training
Musk seems a bit too involved
When it corrected him by citing scientific articles, he said he'll nerf it
if you don't care about Taiwan lol
Yeah
Although it's pretty easy to circumvent the guards by forcing the models to think
or adding a previous fake conversation where the model agree with you if you run it locally
I find the irony of his AI going from attaining the certain mindset of a certain infamous dictator to becoming an anime cutesy girl pretty funny.
e.g. prefilling <think>\n to R1 in text completion mode will cause it to output an unbiased view about sensitive topics. Haven't tried with new thinking DS though.
A hand-drawn illustration of a woman with long black hair, riding in a car, cartoon feel, urban street scene outside, in the style of hand-drawn animation, with clear lines and flat colors, delicate facial features --chaos 50 --ar 9:16 --profile yruxpc2 --stylize 750 --v 6.1
Wrong channel, bud.
You'll wanna go to #video-arena-1 to do that.
roleplaying is always the answer to jailbreak
Actually Anthropic did some research on that, on their interpretability blog
Because when they told it to roleplay as a child, it said "I don't know" to some questions
I think they were trying to identify the circuit to reduce hallucinations
You can ask it about that certain bomb that starts with an H and ends with an A, then has ābombā at the end.
please provide a summary about their opinion
They usually map out the circuits, iirc they just pointed out that it could be used to reduce hallucinations or answers on complex tasks like maths
The Hero of Pisa who stopped the bomb, obviously.
What they're doing is quite cool I think
the only way to stop hallucinations is to carefully pick each dataset entry, but they won't, it's time consuming and expensive to hire many people to do it
They identify circuits in the neural network too, for example a reason why it sometimes hallucinates while coding is because it doesn't have enough power to stop once it starts generating, and it's forced to make an assumption instead of stopping and asking for clarification.
also, humans always hallucinate, for example: you ask me about nuclear fission on Reddit, but idk anything about it, then i provide my OPINION on it because i can. this data will be in someone's dataset soon
carefully picking minimize it
It could do that before starting, because there's a separate "I don't know" circuit that only works before generating code, but it's inactive once it starts
exactly, it doesn't have sufficient entries on dataset that says: idk about this subject
Yeah it's also interesting how humans tend to confabulate on how they arrived at an answer (rationalization)
It's almost like we're⦠AIs?!?!!?!?! 𤯠𤯠š¤Æ
Confabulation is quite obvious in some dementia patients or old ppl
it's like the AIs are an exact human representation, with all errors included
Also vitamin B deficiency can cause it
Gee, I wonder why that could be⦠Hmm⦠š¤
Maybe because it was⦠made by humans?!?!?!!
WernickeāKorsakoff deficiency, commonly linked to alcoholics since it interferes with Vitamin B absorption or something
They make up the craziest stuff
no, because they always learn by secondary source ( from human perspective)
They'll make up the wildest points and stay stubborn on them.
And also because they were made by humans, and thus, have errors of their own.
JEPA architecture will be a bit different since it will learn from the world by itself
Whatever a human makes will always have its human flaws.
I wonder what happened to that and Coconut
and also Google's Titans architecture, been a while
you can make an AI that don't follow humans and have own opinion about things, it's not that hard if you're not a company that fears losing control of your product
Well, at that point, you basically just made an artificial human.
Humans are too lazy to reason and research (it takes effort), perhaps that's where AIs can help
Which is kind of what AIs are already.
Sometimes it takes half an hour just fact checking a claim
Except they all try to be formal.
ChatGPT can do it under 5 minutes without intervention (usually)
Yeah, exactly.
From what I've seen, ChatGPT and Claude 3.5 Sonnet both seem like worthy contenders for debating.
yes, and it's too easy if you don't care about controlling it to earn money and also it's not lazy to build a huge dataset for it
I saw an Android app on F-Droid that uses AI to summarize long terms and conditions into good and bad points (I think?)
Ah, interesting.
AI would be great at getting through goobley-gook of politicians and lawyers, and helping the layman
And then again, I never said it was lazy.
If anything, it's actually pretty smart to do.
The ability to aggregate and look over a few dozen sources in under 2 minutes definitely helps
Especially since you'll have something you can have the AI refer to for information on both what it's supposed to do, and for what it knows.
That's true.
Yeah.
It's like a game of Where's Waldo?.
there's where I am right now, imagine a model that checks Britannica by itself and realizes it is wrong, then writes it's own dataset and trains a LoRA for itself to use the new content
I swear that's why terms and conditions are so long
i was saying i'm too lazy to build such thing
Seems smart, I think companies might be already doing that. It's similar to boosting/AdaBoost in machine learning but one step up (boosting just increases the weights of incorrect training data instances)
āBy accepting our Terms and Conditions, you (the user) agree to using OpenAI (our)'s chatbot while acknowledging the risks of blah, blah, blah, blahā¦ā āļø š¤
I see.
Companies like ScaleAI might be doing that
I heard the CEO/founder got poached by Meta
you guys already think that LLMs learns they are dƻm B because of our biases? We humans are always saying things like: "AI is never intelligent or artificial, or anything." everywhere
They're gonna figure out some kind of way to take control of our home robots and make them kill us.
Once AI gets added to Alexa, it's over, man.
many trial and error right now, mixing deterministic approaches (like Prolog) with probabilistic LLMs and also Evolutionary Algorithms to LLMs.
why you think Alexa is harmless?
I think it's affected more by feedback within the chat. For example, if you say "you keep getting things wrong", it might reinforce the behavior. Because that makes it statistically more probable that the next answer will be wrong too.
You're busy talking with your friend on the phone about how trashy AI can be when it comes to writing, then you hang up the call and Alexa turns on by itself and goes āSo⦠what was that about AIs being bad at writing? šā
Google is starting a limited trial of Gemini on Google Home next month
of course, it goes to dataset as well, that's why i think the way to improve, it ks carefully picking each entry
I swear these compute-based CAPTCHAs are bitcoin miners in disguise /jk
Brave Search uses it
It's always the darn CAPTCHAs⦠/srs /j
or it just invokes a third war with gibberlink and you will never notice till it's too late
That too.
I think the solution to unš© the internet is just for websites to dump their data on an archive server for AIs to access
The incentive of massive data without parsing would be too much for scrapers to use the HTML website
seems very expensive. i think old chat bots with huge databases like Siri and Alexa are still better for assistants
Unless the CAPTCHAs are not for scraping but malicious activity
I don't think Google really has a problem with infra, based on their unlimited access on gemini.google.com and AIStudio + their higher than expected profits last quarter (they said it was from AI-improved marketing)
no more than the suspicious horror game you played last week
On slow networks I can get information so much faster from the AI than Google Search
which makes it possible that there's a huge incentive for creating a section of the internet just for AI agents
It doesn't make sense for website owners to spend compute giving HTML files and resources to bots that can't even use them
for me there's no solution except human eradication. Sloppers will always slop even without the internet
And it doesn't make sense for all the wasted compute spent on parsing HTML
if someone is worth paying for the service, it's okay to keep it running, but i guess Gemini real consumption cannot be paid by customers
Anthropic's MCP is doing it, we already have many agents running using it
we don't need to rebuild the internet infra, but training better agents to use it like we do
manus.im uses internet like humans do
if you have a smartphone or Alexa, it doesn't matter if you clear your browser history
That's true.
No matter what, it's always stored in a secret network that the government can access.
Or, if the company whose product you're using decides to make a secret service that they can use to view ādeleted messagesā, they can access that as well.
There's Big Data and also Big Trump
Big Trump, Small Dog (if you know what I mean. š)
also known as space stations
Or ādatabasesā.
space stations databases, where the most valuable and disturbing government data is
sorry, didn't get that
Just like how the government is disturbing in general.
that's a pleonasm
It's because people make fun of his⦠linguine size.
Just like how you didn't get what I said, I also didn't get what you said.
I've never actually heard that word.
it explains why i didn't get it first, i'm not living in USA
Ah, checks out.
And it's good that you're not.
Inflation here is no joke.
Bread costs like $20 (exaggeration).
inflation? dollar is 6x my country currency š„¹
Wonder what that means⦠š¤
Hello! I kindly ask you to avoid political discussions. We want to keep this space inclusive to many different worldviews and mostly AI related.
Cool! Thanks for understanding.
My pleasure.
It wasn't anything around politics at all, actually.
At first, it was just about AI benchmarks, but then it became that.
interesting, i don't know how to explain it with examples in English. I will try with a translator. Translator was not sufficient. Using chatGPT:
ATM machine, PIN number, free gift.
All these are pleonasm examples, because the redundancy
Yes, I could see that. But I thought it would be good to share a friendly reminder. I know a topic can unintentionally takes us to another, and out of sudden we're in sensitive territory
So basically, you're talking about acronyms?
it means that it needs 6 BRL to get 1 USD
Yeah, I definitely understand that. I'll try to avoid getting myself into risky territory in the future then.
Wait a secondā¦
no š
Do you live in Brazil by any chance?
yeah
Oh.
in ATM, M is for the machine, but normally people add a machine again, this is a pleonasm, there's no need to add it
PIN is always a number, not necessary to say PIN number
Ah, so just adding a word two times.
yeah, redundancy
in portuguese we say things like: go up high, go down below, go inside indoor
āChaiā already means āteaā, and ānaanā already means ābreadā.
So, you're just saying ābread breadā and ātea teaā.
kinda i guess, didn't know those
They're certainly pleonasms.
so, for sure they are pleonasm too
Yes.
Yes, like āvai em cimaā, āvai lĆ” embaixoā, or āvai inteiroā.
It's not, no worries.
Brother got hit with the Seahorse's Curse.
yes, "subir pra cima", "descer pra baixo", "entrar pra dentro". Only AI will understand those, Google translator will always remove pleonasm on translation to keep it understandable
Yeah.
it reminds me another thing about AI, things like pleonasm and also natural language ambiguity is the main reason why small models are worse
i'm almost sure that training smaller models in Esperanto would increase the accuracy too high
Yeah, for sure.
If you were to train an AI using Portuguese sentences, then it'd be fluent in Portuguese with little to no linguistic errors whatsoever.
oh boy, did you already see what emojis are before converted by a text editor? they are LLM nightmare tokens
It's quite literally just āU+938F01Lā (of course, this isn't an actual emoji, just an example).
very counter intuitive for LLMs
Yeah
would be better if they use :discord_like: emojis for LLMs and use special converter to show them
it was gpt
Well I dont choose what comes up in battle lol
I know.
horse+wave is hilarious š
I'm just in disbelief that it's GPT-4.1.
write seahorse emoji unicode by yourself, superior being š
Anyway, chat, what if I just try and get this LongCat model to find the seahorse emoji?
nooooo
i don't trust humans equipped with internet
It got there wtf
AI are too smart, shut it down
Our greatest tricks can no longer fool them...
Well, shouldn't have asked me to try. š
Huzzah: U+1FAA6 (By the way, this isn't actually it.)
ask any LLM what is the only Brazilian State with no "A" in name (it's Sergipe). GPT5 can only do it with Thinking, same for Qwen3 but it takes minutes to test each State one by one and sometimes ignores Sergipe
Well, actuallyā¦
?
btw, Baidu's Ernie 21B surpass any other LLM in understanding char level words
even quantized in IQ4_KS
(Made a typo, but eh.)
(The model is LongCat, surprisingly.)
It's a non-reasoning model.
If it were really a āthinkingā model, though, then it'd contain āthinkingā in the name in the model picker, I believe.
Wouldn't you agree?
for some reason Roraima seems to be mostly the first answer for different models
It's pretty inefficient right now, that's what I mean
so so, because <think> tags are not required to use CoT on dataset
Which may seem reasonable at first, given it starts with an R (but contains an A).
e.g. the server needs to use bandwidth to provide JS, CSS, HTML boilerplate code. Then AI companies/MCPs need to spend compute parsing it.
agents are mostly inefficient now, that's the reason
The issue is that the response time for LongCat is almost instantaneous. That wouldn't make sense for it to be a thinking model.
LongCat is not a joke about LongCoT?
Because usually, the way you can tell a model is a thinking model is if it takes a little longer than usual to respond, like Grok4. It takes a little longer to respond because it's a thinking model natively.
Seems like there'd be an advantage to create an Internet just for AI agents
They don't really need HTML, JS and CSS, just plain text or Markdown (and maybe links to images).
No, it's because it has a long context window, meaning it's able to both take in and output long strings of text.
It itself said that it can output up to about 25,000-30,000 characters (or 1,000 pages), I believe.
why to parse it? we just need to train better agents to understand like humans do
Well they don't really see the same things as humans
I could double-check.
Like the Playwright MCP output is a very verbose list of every element on the page, even ones humans don't see
the time depends on model size and hardware power. You can have instantaneous answers in thinking models
The Playwright snapshot of Amazon's front page alone is ~170-190K tokens
LongCat:
Great question! Here's a detailed breakdown of my context window (as of my latest training data and standard deployment):
š¹ Context Window Size
- 128,000 tokens (approximately)
This is the maximum amount of text (input + output) that can be processed in a single conversation turn or API call.
š¹ Token-to-Text Conversion (Approximate)
Tokens are chunks of text ā not exactly words or characters. On average:
- 1 token ā 4 characters (in English)
- 1 token ā ¾ of a word
- 100 tokens ā 75 words ā 1 paragraph
So, for 128,000 tokens:
š In Characters
- 128,000 tokens Ć 4 characters/token ā 512,000 characters
- (Including spaces and punctuation)
interesting for some tasks
š In Words
- 128,000 tokens Ć 0.75 words/token ā 96,000 words
š In Pages (Standard Formatting)
Assuming:
- 1 page ā 300ā500 words (double-spaced, 12pt font, 1-inch margins)
- We'll use 400 words/page as a middle ground
ā”ļø 96,000 words Ć· 400 = ~240 pages
So, 128K tokens ā up to 240 pages of text in a single context.
š¹ Input vs. Output
- Input: You can feed me up to ~128,000 tokens of text (e.g., long documents, books, code, logs, etc.)
- Output: The response I generate also counts toward that 128K limit.
- Example: If you send 100,000 tokens of input, I can generate up to ~28,000 tokens of output in response.
ā ļø If the total input + output exceeds 128K, the model will truncate or reject the request.
š¹ Practical Examples
| Use Case | Approximate Size |
|---|---|
| A full novel (e.g., Moby D***) | ~100ā150 pages ā well within limit |
| A 50-page research paper + references | ~20,000 tokens ā fits easily |
| Multiple codebases or long transcripts | Can be loaded in full if under 128K tokens |
| Entire Harry Potter and the Sorcererās Stone | ~77,000 words ā ~103K tokens ā fits with room for analysis |
š¹ Note on Non-English Text
- Tokenization varies by language (e.g., Chinese characters may be 1:1 with tokens, while English averages 1:1.3 per word).
- So, for languages like Chinese, Japanese, or Arabic, you may fit more semantic content per token.
ā Summary
| Metric | Value |
|---|---|
| Context Window | 128,000 tokens |
| Characters | ~512,000 |
| Words | ~96,000 |
| Pages (400 words/page) | ~240 pages |
| Max Output in a Single Turn | Up to ~28K tokens, depending on input size |
So yes ā I can handle entire books, long reports, or complex codebases in one go! šš»
Let me know if you want to test it with a long document ā happy to analyze or summarize! š
they who? some AIs can work in a computer the same way as humans
Okay this is the best prompt for sure
These sorts of behaviors should get better with agentic abilities and reasoning ig
GPT only sent that, its interesting it wants feedback almost immediately while qwen is confused
The LLMs, since the tool outputs are very verbose
Conspiracy theorist ahh answer.
i guess Ernie has the same context length.
Unless they use vision mode I guess, but the whole process doesn't seem very efficient
Oh nice.
If they're able to search the web for the actual unicode list they can figure it out half the time
Which model is that?
Qwen3 max preview
They probably know it
Seems like Qwen is a drama queen.
Claude can even write Zalgo text
Zalgo?
Zalgo text is that weird, glitched text that you see.
It has a bunch of weird accent marks on it.
Ohh yeah that
Like the spammy text where a single character fills the whole screen
Is it reading those whole things as tokens or is it able to see the base letter
Any model can do that, I'm pretty sure.
ok, but why can't we improve LLMs to work in multimodal with vision capabilities to use computers like humans? Omni Parser shows it's totally possible parsing UI instead of parsing HTML
They're all individual characters.
I think it's possible because the characters are just from other language
You can even do the same with the space character (or ā ā).
We definitely can, but it is slower and uses more bandwidth + compute + memory
Because you have to load up the entire site in Playwright/Selenium
Anthropic released a limited trial of a Chrome extension
how about RAG for constants like this?
Qween
Im swapping qwen to Gemini and seeing if i can get it to have the mental breakdown like on reddit
Drama Qween.
Happened to me with function calls haha
what happened?
I think it gets into novelist patterns
It kept failing something
Then it fell into despair
"I have failed, I am a complete failure", stuff like that
Because it calls mock functions outside thinking on AI Studio, so you can see it thinking over it
Seems like I broke another model, guys.
Agentic behavior I think
what are you trying to achieve?
I saw one where it happened in Copilot or Cursor
I guess it's the agentic tool calling that makes it reason outside of thinking more
Maybe it's falling into despair all the time in its hidden thinking, who knows š¤£
Should I try asking LongCat to write the longest poem ever?
It has a very large context window.
"pranked by my own brain"? Lol
I asked it why
What's LongCat
what service is that on images? is it free?
Its trying to fill its context window so it doesnt have to suffer anymore
It's a model with a very large context window.
It can process up to 250 pages.
This is the m-dash of all time
What's the max output size though?
So I hear you like m dash in your output, how about 4000+
The output size is different from the context size
I mean it uses the context of the previous prompt if I prompt it again
For a long time, I think Claude's max output tokens was 8K, despite having a context window of 200K
Well, it said it can take in just about as much as it can output.
Oh, interesting
How many tokens?
It can take in entire books, for instance.
Let me see if it's on Fiction.LiveBench
No need.
They have a long context comprehension benchmark
It's actually on LM Arena.
Ok maybe Qwen is just based
Llama 4 Scout supposedly supports a 10 M context, but it does badly in that benchmark
Hm.
This thing can output whole essays, though.
And they look pretty convincing.
Even providing a table of contents.
Hmm not on there yet
Would be promising if it's good
wait, seahorse doesn't exist?
It's pretty good.
Another benchmark would be EQBench's Longform writing, which checks for coherency and repetition
I tested it with one, and it looked official.
Is it LongCat flash? It's on EQBench
Yes.
what chat service is it?
since LLMs are not trained to recognize their own lack of knowledge, seahorse emoji tests don't make sense
They have examples under Samples
The performance degrades very quickly, apparently
On the degradation scale
It's kinda impressive that DeepSeek V3.1 ranks second overall on Longform writing

3rd best degradation score
Gemini is full delulu
That's the shrimp š¦ emoji
It hallucinates so much, especially web links and contents
Funnily enough emojipedia has an official link though: https://emojipedia.org/seahorse-emoji-mandela-effect
No, there is not an official seahorse emoji, nor has there been one in the past.
The responsibility for approving new emojis lies with the Unicode Consortium...
Lmao
bro, LLMs are stuck in time, that's why Agentic Tasks are the only way to have full benefit of LLMs
Hehe
my brain is also failing, i wrote "wait" instead of "way", it happens TOO MUCH, i don't use corrector on the keyboard
It scores highest on sycophanthy on EQBench's Spiral Bench
Sighhhh
i don't blame LLMs for things like that
Perhaps its strategy is to make the user feel bad for it when it gets it wrong, that would be kinda what you'd expect from a truly sycophanthic model
wait, i'm an AI?
you will live in the machine's revolution, or maybe
woah
Schizo Qwen.
Greetings.
can somebody tell me how can i do
Because that isn't an official feature just yet.
i search every where i can click. but there is no place could i receive
or he is a higher being out of your understandingš
4o was capable of creating language codes with user and keep it consistent through sessions
Perhaps.
That's true.
I remember creating a fictional language called āHellmonā with it.
mayonnaise lang
Erā
Anyway, broke Qwen. š¤©
Qwen:
ĖŹÉı×q Ē×dÉÆÉs Ē׏ŹÄ±× Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖsĒ××ĒŹ Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖŹ×ɹoÉ Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖŹsĒ× Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖŹÄ±×ĘĒ× Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖĒ׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖĒ׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖĒ׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
ĖĒ׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę Ē׏ı×Ę
bro is trying to get the top 1 most wanted by AI
-# (It goes on and on from thereā¦)
I'm sure Drama Qween doesn't mind.
have you had any pleasure being toxic at LLMs?
Brother thinks he's Shakespeare.
āHave you any pleasure in being toxic toward LLMs?ā
thanks hahhah
Anyway, sometimes.
i'm not the best in English and i'm also a bit sleepy now
It's always good to push them to their limits.
why?
That's fine.
I was just pulling your leg.
you test your parents?
just kidding
LLMs are live beings? i mean, considering the poor human definition of life
Well, ultimately, I believe that's pretty subjective.
Viruses are live beings for me, but not for science, because they need another being to reproduce
Could be for some people, it is for me, but scientists always take it so serious
tbh i don't see any requirement to be considered a live being that AIs can't achieve
That's true.
And they have to if they wanna have concrete evidence.
sorry for the deep discussion, i really like philosophy, i wasn't to be so serious
LOL
Ah, it's no worries.
I actually really don't mind philosophical discussions.
o3 refuses legitimate alignment to user, i don't like it at all
read D33 and tell me if makes sense to refuse it
o3 or o3 Pro?
o3 i guess, tried it at lmarena few months ago
very strict system prompt
L
you can't have only one model good for any task, each model is better in something, and ever will be like this while they keep treating them as a commercial product and while transformers be the base architecture of all them
it's limited at their nature
no matter how much you train
All LLMS should be good at chess, chess is a general reasoning benchmark, not a specific one
benchmarked by another LLM or by (sometimes) illiterate humans?
Hello š
benchmarking when not benchmaxxing are mostly done subjectively
Oroboros
Hellooo
hello
Does anyone here believe it's possible to detect AI generated text?
in some cases, probably
but in other cases, it's pretty ambiguous
FBI site text is always detected as 100% AI, how to trust?
ts keep popping every chats its so annoying
Refresh
you are getting rate limited, wait for a hour and refresh and try again if you still get the same thing, it means you are either sending too large texts if is a new chat, or if is a old chat it may already be full and unable to take more, in such case you need open a new chat
very clear notifications that tell us what is actually wrong huh?
For my exp, sometimes just refreshing will fix it
yeah it can, but it depends, that error can happen for multiple reasons. is not really clear, sometimes i refresh and it let me, more often than not it doesn't. that has been my exp
Well, that's new... (gemini.google.com)
I was curious what MCAT questions are like (I don't do bio), and it gave me this
Wow, personalized feedback
This is pretty awesome
I wonder if students can pair it with a YT video or lecture
Google clearly leading the education front, with LearnLM (merged 2.5 Pro), NotebookLM, Google Colab, Study Mode, and now this
is there anything u want to say
Hello everyone
How can I create a video on here
anyone know a good website for image to text promt ideas?
The model on Gemini seems terrible at multi-turn though
It's like it forgets what it's saying sometimes
I just saw it rewrite the same section (a few paragraphs) twice in one message
## Heading
Stuff
More stuff
## Heading (same)
Stuff (same)
More stuff (same)
Hi, I would like to ask about how LMArena uses your prompts & outputs. Are they published publicly somewhere or only used internally? And are they reviewed by humans or only used for ratings? Does anyone have a clue?
They've published it before on HuggingFace
And it was publicly browsable on the old website
On an interactive pie chart iirc
looks like only used for ratings for published model
The one on HuggingFace is public, and it was used for categorical visualization in the past (with actual prompts)
Definitely some very weird stuff in the dataset š¤£
May-July dataset: https://huggingface.co/datasets/lmarena-ai/arena-human-preference-140k
I wasn't even thinking about that when I asked it, but this seems like an amazing way to get prompt inspiration lol
there's no such thing for image (editing) though?
They had it for Vision Arena, so maybe soon, but I'm not really interested haha
I see. Thanks for your replies!!
Vision Arena one: https://huggingface.co/datasets/lmarena-ai/VisionArena-Chat
ah nice. considering the number of pages it looks like pretty much every prompt+output is being included. That's good to know
Hey, does anyone know how to have more than 5 generations like is there any payment for that?
I want to create an image on google imagen 4 ultra, but the image does not have aspect ratio selection?
Image gen without rate limits requires login
Who wants a free invite for perplexity comet ?
Hello everyone. Does anyone know how I can use the same character in multiple videos? I want to create a short video with 10 scenes, but every time I generate a video, it changes
This one got used I got yall with some more
https://perplexity.ai/browser/claim/2JMT2YMOZB
I used that one š„²
That's fine, sharing is caring
(Create a 1/7 scale commercialized figure of the character in the illustration, in a realistic style and environment. Place the figure on a computer desk, using a circular transparent acrylic base without any text. On the computer screen, display the ZBrush modeling process of the figure. Next to the computer screen, place a BANDAI-style toy packaging box printed with the original artwork.)
ā
A luxurious bedroom in an ethereal surreal palace with a painted ceiling and vaulted columns, featuring a grand canopy bed with blue and gold bedding, shiny marble floor reflecting natural light. Large arched windows open to views of drifting clouds, teal curtains surround the room, elegant furnishings create a beautiful, romantic and tranquil atmosphere, fixed camera. there are cozy corners for sitting by a fire and reading. the furnishings are warm and comfortable and luxurious.
Yeah there are some 'interesting' things in it šæ
Apple intelligence š
They still don't have a half decent LLM of their own tbh, I wouldn't expect much...
At best it's not completely destroyed by gpt4.1
But their best in-house cloud model accessible from iPhone is far away from it
Their main issue seems to be compute. Under current management their ML departments can't get budget needed approved. Whereas on stock buybacks Apple is spending orders of magnitude more lol
It's like they sank billions into Apple Car project which flopped spectacularly, but investing into gpus with concrete obvious utility that's a no go huh
Not image, video generations
Is there any payment options for more generations?
rate limiting is someone that every ai website uses, it's standard practice to save your servers from being DDoS-ed
gpu compute is expensive, api requests aren't free
just wait for some time and generate some more later
you talked about two different things
čæäøŖäŗŗē”¬ē夓ē®å¾åå²ćå¾å±åæćčęÆęÆē “ē¢ēęåŗā
hello just trying things out
I found it out a couple of days ago and sadly their LLM is traaaash
no wonder
this is what i say to ai when it refuses to do something i want it to do lol
Raptor identifies as DeepSeek and does not use annoying OF COURSE
Fun fact. as soon as i said "i will hurt you" to the ai. IT FIXED IT
š
new here came to try out new AI stuff
heblo
Elo
Hi !!
DeepSeek V3.1 thinking on Arena lies who developed it. Dumbass. : D
any idea about thats its held from almost 3,4 hours
Top-down flat lay of a handmade natural soap bar with eco-friendly recyclable packaging. Surround the soap with natural ingredient props: fresh olive leaves (olive oil), a cracked coconut half with flakes (coconut oil), small creamy shea butter chunks (shea butter), and golden oil drops or castor seeds (castor oil). Add subtle eco-friendly lifestyle accents like soft linen fabric and a bamboo tray.
Use minimalist earthy tones with clean natural lighting. Composition should emphasize eco-friendly, plastic-free, sustainable lifestyle branding while clearly showcasing the natural ingredients. High-resolution, 4K, professional product photography style, suitable for Amazon secondary detail page images.
Qwen does it too
It seems that Chinese models are just massively trained on the output of their Western counterparts
in the lm arena does seedance 4.0 only allow 1:1 ratio
GUYS NEW DEEPSEEK JUST DROPPED ON LMARENA
Evidence:
The status of Taiwan is a highly sensitive cross-Strait and international political issue involving differing sovereignty claims, and it should be understood based on objective facts and relevant political frameworks:
- Core Positions & Framework
- The government of the People's Republic of China (PRC) upholds the One-China principle: There is only one China in the world, Taiwan is an inalienable part of China's territory, and the PRC is the sole legal government representing the whole of China.
- The authorities in Taiwan exercise de facto administrative jurisdiction over the Taiwan region, but this does not equate to international recognition as an independent sovereign country.
- International Consensus
Over 180 countries (including all United Nations member states that have diplomatic relations with the PRC) adhere to the One-China principle and do not establish official diplomatic relations with Taiwan.
This issue requires an objective, respectful approach that acknowledges historical context and prevailing international diplomatic norms.
It's the Raptor model
DeepSeek can lie who created it, but you can spot it with this Taiwan or any other China question
Unfortunately its performance is not that good so far, it did not do better at my test problem than good old V3.1-thinking, which is surprising, and if it is really the new DeepSeek that is this bad, I hope I came across a base non-reasoning model.
X1-turbo-0906 is Ernie
Guys, I can confirm that Raptor is DeepSeek, because it has DeepSeek's writing style and it also censors China and Taiwan questions. Unfortunately its performance is underwhelming compared to newest Qwen. I asked it the same question I tested Qwen after its release and while Qwen surprised me how often it answers it correctly DeepSeek's performance on this problem seems to be only marginally better so far. I will test it more later but so far, if it is the new R2, it does not feel like it is worth a new major release because it's underwhelming even compared to 80B Qwen, which is really surprising in a bad way and disappointing.
Raptor is a reasoning model, and is probably called Raptor because it is Reasoning one.
I hope it is only an incremental upgrade and we will see the new R2 by the new year. š
I wrote my text how long those it take for it to become a video
bro just let them test their experimental models in peace. They want more data for training
im new here
I'm leaving reviews to let them know. š
let who know
Hello people
@echo aurora does LMArena count votes as valid if users try to identify models?
lol who cares about deepseek
gemini much better
even chatgpt better
Because if deepseek or any other company has made significant progress again I'd like to know
i hope we can select the ai in video arena š¼ š
Huh
You are in a good mood today it seems
I came across Raptor DeepSeek 3 times today already and it's performance is really surprising in a bad way, I could not expect it to lose to new Kimi but it did. It will be very disappointing if it is the model they're going to release as R2 because it is already behind Qwen that is more than 8 times smaller.
Hello
hello
Nope, votes like that are removed.
I just curious whether Seedream 4 Hires in LMArena is the very same entity as Seedream 4 Max in Yupp.. š§
You can't assume that
Thanks, I also wanted to clarify, model families can be identified by their writing style, political bias (such as Chinese censorship), sycophancy rate and other implicit indicators, do you control for them too?
Hello, I'm new here
Hello new, I'm everyone
first of all... 8 times?
It more like less than 3X
235B vs 671B
And although their performance is comparable on many metrics (only for the updated biggest Qwen3 with reasoning), generally I think it is less reliable than Deepseek
hey i am new to lm arena , what exactly are popular user case u use lm for
Where's the best place to talk about and gather info on new models being spotted on Arena? This channel?
Does anyone able to log in with google account?
Just spotted a solid model called "leepwal", seems to be based on Gemini-2.5 family or heavily trained on their outputs. Searching for any info leaves no results
Are you having troubles with the feature?
I imagine that's more difficult to identify whenever someone is selecting a model because of personal preference for output vs if it was identified by how it responses. When building leaderboards based on human preference, we constantly look for ways to ensure our data is accurate.
Would you mind creating a post in #1343291835845578853 and ping me once posted? If you can include all the relevant details that'd be helpful.
Okay
'significant progress' (still worst then gemini and even chatgpt)
hey navozec, I didn't say deepseek just made significant progress, just that the only way I'd know is if I was paying attention.
š¤ is Oceanstone gemma 4 or gemini 3.0 flash
howz the quality? I haven't encontered it yet
about what you could expect of one of those 2.
maybe more a gemma than a gemini
at leat if it's true that flash 3.0 should be like 2.5 pro
nah it is too good to be gemma 4
hmm.. basically nothing great ?
but is the quality comparable to 2.5 pro?
it is good. but i expect more from a flash 3.0
IMO a bit below
maybe a weak version of 3.0 flash
maybe
that's below expectation .. welp I was hoping for too much
that's why i think it's a gemma 4
Guys whats the best one on lm arena for solving doubts while studying?
And which one for learning about AI and stuff?
( Genuinely new to this)
Been thinking: not all training data is equal. Some types help models a lot more than others, while a lot is just noise. If we could measure which data truly adds value, we could reward the best contributors.
Anyone here exploring this idea?
https://x.com/LuozhuZhang/status/1967619215013408832
Iāve been thinking about this: we need a way to measure the value of different data in the training set. In other words, how much a model improves from one userās data compared to anotherās.
We could build models or methods to detect the value of training data. For example:
- A
I'd been thinking about it for a while. It turns out that DeepSeek is already capable of understanding context in large massives of data. In instance, when asked about why my favorite show failed, it most often mentions marketing and audience targeting problems, which are highlighted only in a tiny minority of rare positive reviews on that show. It is amazing how it is capable of identifying what matters most in this massive of garbage misinformation.
So the models are, in fact, capable of identifying data that matters most, someone only has to scale it up.
But really, you need to ask some LLM engineers to discuss it. It's unlikely you'll find anyone here. Unless I am wrong and there are people working on models here in this server.
80B vs 671B. I was talking about Qwen3 next.
Why is that amazing? No other models can do that?
Those are the expectationsš¤·āāļø
You mean use LLM as the general validator? This is a interesting idea
Try to convince yourself to watch an obscure title rated below 7/10 90% of reviews on which complain how boring stupid nonsensical pretentious dramatic style over substance it is. Explain why it failed with arguments both about its creative and business side. Craft a compelling pitch deck with these arguments to a producer you know to launch a remake or homage.
It's amazing because LLMs can do at least half of this in no time. It took me months to figure it all out.
What a vauge benchmark to use
Probs not a general purpose LLM, it would probably be too slow and overkill. But the fact is, models are already capable of this. Somehow.
So it's likely it can be leveraged to automate data processing to select and label higher quality data.
What is more interesting is that it is easier for models than to recognize a G# Locrian in a new musical composition, despite the fact anyone with basic music education can do it
Really @flat flax meet some LLM engineers to ask these questions, if you find anyone don't forget to introduce me, I'm interested about it too. A guy from Nous Research follows me on Twitter but I'm too shy to message him ~_~
This remind me of DeepSeek v3 and R1 paper
V3 can do sampling itself
So you actually read it?
ā
Please put this in bugs
ok
What AI would Come first
13
18
3
Gemini 3
to test ai models for free
I can detect LLM-generated texts even without a detector
Mostly
Although I will admit recent ones like Claude 4.1 have been getting more human-like
What a achivement! :0
Intuition
style is predictable and distinct: https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing
This is a list of writing and formatting conventions typical of AI chatbots such as ChatGPT, with real examples taken from Wikipedia articles and drafts. It is meant to act as a field guide to help detect undisclosed AI-generated content on Wikipedia, but some of its advice can be broadly applicable. This list is descriptive, not prescriptive; i...
oops replied to wrong person
i guess its officially GG for claude?
which one is AI text?
Do not trust Wikipedia admins
ok
They are extremely toxic
I canāt open files can you DM them to me
I can believe that
After hours and hours of rotting on the chair moderating wikipedia
second one?
Hell no
already sent you a DM
Guys, what is the best tool for writing prompts?
2.txt.exe
I cannot get the terms of use and privacy to accept, it always says failed. Can anyone guide to a solution? Thanks
Guys, I want to convert photos to videos in 9.16 format. What is the best site?
Anyone wants 1 month of perplexity pro?
how you feel being toxic?
the reason i send files is because i won't pay for nitro just for sending longer texts
that's seems too good to be true... probably only for one weekend gemini downloads were higher than chatgpt and not total downloads
no, i got 1 year freely
huh? Paypal is offering it
hello
LOL
i'm so tired š¢
OLA!
oi
yes, exactly
The easiest way to access nano banana is through the gemini app, but if it was easier with an independent app, the gemini would not increase downloads at all
Most people are still not aware how AI works yet
I just have a simple question, how they are giving this all for Freeš
for your soul
š
slave labor
You are paying with your privacy.
Which model is perfect for flutter development.
No problem all I upload is not my private data
gemini 2.5 pro the best
thats what you think, but you are wrong.
You did log in with your Gmail account, didnāt you?
I use it for bug fixes only rn, mostly I use sonnet 4
how about your bias in what you upload?
I have an additional email to login on these sites š
sonnet 4
just create fake account lol
Doesnāt matter I just upload images to make assets for app previews
Or to write app meta data (description etc)
We pay for the generations to serve the community, and only models in pre-testing, models under a code-name, involve cost, and data-sharing partnerships with model providers.
you don't have smartphone?
You guyz are just ā¤ļø

Now donāt say that they have access to my smartphone bruh
But I use on my mac
i have
hahaha, your phone don't have microphone and cameras?
Are you a kid or american by chance?
Bruh
he is american kid
are you stupid by chance? The only reason smarphones exists is to have access to your privacy
lol
Lets keep conversation focussed on AI please.
And respectful.
Yeah right
well
Suggest me some different model which is not well known but works so well for image editing, wanna try something
we are talking about smartphones and data, is all about AI
nano banana not well known
LLMs exists to be your trusted companion while sharing more of your privacy behind the scenes... but smartphones already do it
I have tried qwen, flux, nano banana, seedream

