Sensitive content

This media may contain sensitive content.

Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Evernight | Honkai : Star Rail Evernight model Hairy Harzoo Caelus model SegsUltimate🔞 Evernight VA : 🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) High quality version available on Fanbox & Patreon (link in bio) (I was thinking about scrapping this one, but decided to post it anyway, I also uploaded the scrapped...

RaymonoXXX's profile picture

RayX

32,755 subscribers

243,561 görüntüleme • 10 ay önce •via X (Twitter)

NSFW
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Keeping up with Star Rail — Evernight: Why Didn't We Start With the Red Form? | Honkai: Star Rail Watch Now: "Did you notice?" "There is a huge difference between March 7th and Evernight. Their selfie styles are radically unique from one another!" "March 7th's selfies are cutesy and adorable, while Evernight's are aloof and distant, putting barriers between her and other people." "More terrifyingly, when I took a peek at March 7th's photo album, there were lots of aloof-style photos inside." "When these photos were taken... far before we even arrived at Amphoreus!" "Hey! No flipping through my album! Also... No peeking at my selfies! I'll smack you over the head if you do!" Thank you for tuning in to this special Interastral Peace Entertainment program, Keeping up with Star Rail — Evernight: Why Didn't We Start With the Red Form? English Voice: Owlbert — Bill Butts Dan Heng — Nicholas Leung Evernight — Skyler Davenport #HonkaiStarRail #StarRail #Evernight
8:31

Keeping up with Star Rail — Evernight: Why Didn't We Start With the Red Form? | Honkai: Star Rail Watch Now: "Did you notice?" "There is a huge difference between March 7th and Evernight. Their selfie styles are radically unique from one another!" "March 7th's selfies are cutesy and adorable, while Evernight's are aloof and distant, putting barriers between her and other people." "More terrifyingly, when I took a peek at March 7th's photo album, there were lots of aloof-style photos inside." "When these photos were taken... far before we even arrived at Amphoreus!" "Hey! No flipping through my album! Also... No peeking at my selfies! I'll smack you over the head if you do!" Thank you for tuning in to this special Interastral Peace Entertainment program, Keeping up with Star Rail — Evernight: Why Didn't We Start With the Red Form? English Voice: Owlbert — Bill Butts Dan Heng — Nicholas Leung Evernight — Skyler Davenport #HonkaiStarRail #StarRail #Evernight

Honkai: Star Rail

299,859 görüntüleme • 10 ay önce

So I wasn’t going to post this … but I have since decided too .. When I got to my car yesterday afternoon, there was disgusting profanity written in the dust on the RHR quarter and right rear door of my Tesla Model X. After checking the sentry footage I was shocked to discover two young boys had done it! 🤦‍♂️ More shocking, was the fact that their mum decided to turn around, witness the act and laugh! Good Parenting Indeed 👍
0:28

So I wasn’t going to post this … but I have since decided too .. When I got to my car yesterday afternoon, there was disgusting profanity written in the dust on the RHR quarter and right rear door of my Tesla Model X. After checking the sentry footage I was shocked to discover two young boys had done it! 🤦‍♂️ More shocking, was the fact that their mum decided to turn around, witness the act and laugh! Good Parenting Indeed 👍

🐶Pablo’s🐕 Shark 🦈 ⚡️🔋🇦🇺 🦘

228,140 görüntüleme • 2 yıl önce

My tour is fast approaching. Here's what I’m on about in part of it. This is my trophy sideboard. I also won The Weakest Link and Impossible but no trophy was available for those. The trophies look dusty because they are. I’m a terrible housekeeper. 🎟️
1:17

My tour is fast approaching. Here's what I’m on about in part of it. This is my trophy sideboard. I also won The Weakest Link and Impossible but no trophy was available for those. The trophies look dusty because they are. I’m a terrible housekeeper. 🎟️

Susan Calman

12,042 görüntüleme • 1 ay önce

WHY IS NO ONE TALKING ABOUT THIS?? Gemma 3n model was one of the best surprises for me. The fact that you can run it on edge devices even with just 2GB of RAM is impressive. A few weeks back, I was on holiday and used the Gemini Live feature a lot. But I kept running into issues whenever I was in a place where the network wasn’t reliable. Gemma 3n : > Multimodal: Supports text and image inputs; video/audio in development. > Context Window: Up to 128K tokens (32K for 1B model). > Multilingual: Trained on 140+ languages. > Privacy: Offline, on-device processing for data security. > Model Sizes: E2B (5B parameters, 2GB RAM) and E4B (10–12B parameters, 3GB RAM). Video credit: Google YT
1:34

WHY IS NO ONE TALKING ABOUT THIS?? Gemma 3n model was one of the best surprises for me. The fact that you can run it on edge devices even with just 2GB of RAM is impressive. A few weeks back, I was on holiday and used the Gemini Live feature a lot. But I kept running into issues whenever I was in a place where the network wasn’t reliable. Gemma 3n : > Multimodal: Supports text and image inputs; video/audio in development. > Context Window: Up to 128K tokens (32K for 1B model). > Multilingual: Trained on 140+ languages. > Privacy: Offline, on-device processing for data security. > Model Sizes: E2B (5B parameters, 2GB RAM) and E4B (10–12B parameters, 3GB RAM). Video credit: Google YT

AshutoshShrivastava

210,490 görüntüleme • 1 yıl önce

$TSLA 🇰🇷 Tesla's 'FSD Moment' is happening in Korea. The Korean media began to report on Tesla's introduction of FSD. Among them, the video I filmed was also introduced in the news, and I made an English subtitle because I thought it would be good for more people to see it. So far, FSD is only available in Model S/X vehicles, but this alone seems to have a significant impact in Korea. The Korean market will change dramatically next year after the regulations are eased so that FSD can also be used for Model 3/Y vehicles.
1:28

$TSLA 🇰🇷 Tesla's 'FSD Moment' is happening in Korea. The Korean media began to report on Tesla's introduction of FSD. Among them, the video I filmed was also introduced in the news, and I made an English subtitle because I thought it would be good for more people to see it. So far, FSD is only available in Model S/X vehicles, but this alone seems to have a significant impact in Korea. The Korean market will change dramatically next year after the regulations are eased so that FSD can also be used for Model 3/Y vehicles.

Tsla Chan

74,496 görüntüleme • 8 ay önce

NO BUT HIS IDEA SO BRILLIANT? 👑: i already talked about it and gave hints to yeodoongies, right? so, it was almost at the final completion stage, but then the price came out. and it ended up being a bit higher than i expected. since i really wanted this item to be practical and actually useful for yeodoongies, i designed it with that in mind—and because of those extra details, the unit cost ended up a bit higher than i first thought 👑: so i thought, “wouldn’t this be a bit too much of a burden for yeodoongies?” that’s why i just decided to scrap it and changed to something else instead 💬: then just give me the one you scrapped 👑: ㅎㅎㅎ ah, that one was actually—well, i guess i can just say it now anyway. actually, i was thinking of a keyboard. the idea for that keyboard was something like i wanted to put hehetmon face on the keyboard—what should i call it? on the keycaps, like emojis. and then, you know those keyboards that don't make that loud clicking sound? not like mechanical keyboards, but ones that sound like asmr... ah, silent! but even though it's silent, it has that, you know—that “sagak-sagak” sound when you press the keys. yeah, you’re right! like “tuduk-tuduk” sound! i had that kind of keyboard in mind and tried to make it happen. but the unit cost ended up being higher than i expected. and i thought, this is a bit too much— i know our yeodoongies would want to have it no matter what, but if the price is this high, it’ll be such a burden on yeodoongies. so, i just made the call to scrap it and switched to something else
1:56

NO BUT HIS IDEA SO BRILLIANT? 👑: i already talked about it and gave hints to yeodoongies, right? so, it was almost at the final completion stage, but then the price came out. and it ended up being a bit higher than i expected. since i really wanted this item to be practical and actually useful for yeodoongies, i designed it with that in mind—and because of those extra details, the unit cost ended up a bit higher than i first thought 👑: so i thought, “wouldn’t this be a bit too much of a burden for yeodoongies?” that’s why i just decided to scrap it and changed to something else instead 💬: then just give me the one you scrapped 👑: ㅎㅎㅎ ah, that one was actually—well, i guess i can just say it now anyway. actually, i was thinking of a keyboard. the idea for that keyboard was something like i wanted to put hehetmon face on the keyboard—what should i call it? on the keycaps, like emojis. and then, you know those keyboards that don't make that loud clicking sound? not like mechanical keyboards, but ones that sound like asmr... ah, silent! but even though it's silent, it has that, you know—that “sagak-sagak” sound when you press the keys. yeah, you’re right! like “tuduk-tuduk” sound! i had that kind of keyboard in mind and tried to make it happen. but the unit cost ended up being higher than i expected. and i thought, this is a bit too much— i know our yeodoongies would want to have it no matter what, but if the price is this high, it’ll be such a burden on yeodoongies. so, i just made the call to scrap it and switched to something else

yeopamine

37,777 görüntüleme • 3 ay önce

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription
0:22

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip

68,860 görüntüleme • 20 gün önce

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.
2:30

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

43,772 görüntüleme • 4 gün önce

Jensen Huang on Elon Musk: "I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on autonomous vehicle. I helped him build the computer that went into the the Model S AV system, his full self driving system. We were basically the FSD computer version 1, and so we were already working together. And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it. Except for Elon. He goes 'You know what, I have a company that could really use this.' I said, wow, my first customer. And he goes, it's an AI company, and it's a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered to the Elon in 2016."
3:49

Jensen Huang on Elon Musk: "I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on autonomous vehicle. I helped him build the computer that went into the the Model S AV system, his full self driving system. We were basically the FSD computer version 1, and so we were already working together. And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it. Except for Elon. He goes 'You know what, I have a company that could really use this.' I said, wow, my first customer. And he goes, it's an AI company, and it's a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered to the Elon in 2016."

DogeDesigner

1,162,733 görüntüleme • 8 ay önce

🧵1/3 I partnered with Kling to make a promo for their new 3.0 model. I came up with the concept, created it and delivered it all on my own in 3 days of early access, I wanted to make something that showed how Kling could be used to tell a diverse range of stories in a diverse range of styles. I've honestly been blown away be how incredible the model is and I haven't even scratched the surface of features like the new 3.0 OMNI model. For me Kling 2.6 was already best in class for most things but 3.0 sees massive improvements to video quality and detail (no need to add grain to mask imperfections) and prompt adherence. Also you can time your generations to be as long as 15 seconds and as short as 3, this is fantastic for pacing your scenes. Read on to find out more about the new Performance and Multi shot features!👇
1:26

🧵1/3 I partnered with Kling to make a promo for their new 3.0 model. I came up with the concept, created it and delivered it all on my own in 3 days of early access, I wanted to make something that showed how Kling could be used to tell a diverse range of stories in a diverse range of styles. I've honestly been blown away be how incredible the model is and I haven't even scratched the surface of features like the new 3.0 OMNI model. For me Kling 2.6 was already best in class for most things but 3.0 sees massive improvements to video quality and detail (no need to add grain to mask imperfections) and prompt adherence. Also you can time your generations to be as long as 15 seconds and as short as 3, this is fantastic for pacing your scenes. Read on to find out more about the new Performance and Multi shot features!👇

Uncanny Harry AI

29,181 görüntüleme • 6 ay önce

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!
0:48

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,386 görüntüleme • 4 ay önce

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:
0:43

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

The Bugged Dev

1,955,008 görüntüleme • 6 gün önce

#dilraba initially thought the invitation to star in the movie #KungFuSoccer was fake. She only realized it after hearing director Stephen Chow's voice, she's surprised and delighted 🥹 "At the time, I was filming, and I was in the car when I got a call from the producer. I thought it might be fake—there hadn’t been any news at all about this director working on such a project recently, so it felt unlikely." "Later on, Director Zhou (#StephenChow) personally spoke up and said, “Hi Reba, I’m the director,” and introduced himself, then told me about the role. I remember thinking, “Oh my God,”—I was both surprised and delighted." "But once I learned more about the character I was going to play—her overall image and what she’s like—I thought, “Oh no, what should I do? How am I going to play this?” Because she not only has martial arts skills but also plays football. I felt that this would be quite a big challenge." #dilraba #dilireba #迪丽热巴 #ตี๋ลี่เร่อปา
0:47

#dilraba initially thought the invitation to star in the movie #KungFuSoccer was fake. She only realized it after hearing director Stephen Chow's voice, she's surprised and delighted 🥹 "At the time, I was filming, and I was in the car when I got a call from the producer. I thought it might be fake—there hadn’t been any news at all about this director working on such a project recently, so it felt unlikely." "Later on, Director Zhou (#StephenChow) personally spoke up and said, “Hi Reba, I’m the director,” and introduced himself, then told me about the role. I remember thinking, “Oh my God,”—I was both surprised and delighted." "But once I learned more about the character I was going to play—her overall image and what she’s like—I thought, “Oh no, what should I do? How am I going to play this?” Because she not only has martial arts skills but also plays football. I felt that this would be quite a big challenge." #dilraba #dilireba #迪丽热巴 #ตี๋ลี่เร่อปา

ʜᴀɴɴ🍒

26,896 görüntüleme • 28 gün önce

kai wanted to post his extracted wisdom tooth on weverse because it looked really pretty 😭 🐧 when i got the tooth on this side extracted, it broke so i didn’t get to keep the tooth but when they extracted it the other side, the tooth came out very smoothly so the dentist said they’d give it to me as a present 🐧 so i was like “wow this is so fascinating, this is what my wisdom tooth looks like, huh?” 🐧 the tooth was REALLY pretty and i wanted to show it off to moa so i got confirmation as to whether i could post it, just in case, because it might disgust people 🐧 but they said i couldn’t post it because some people might think it’s disgusting 🦊 it was slightly disgusting to me too 🐧 right? but the tooth was REALLY pretty 🦊 that’s right, it was taken out perfectly 🐧 what i felt was that because i brush my teeth well, there was nothing there and i’m handsome just like my tooth, this dude is just as handsome as his tooth 🦊 😮‍💨😮‍💨😮‍💨 🐧 i’m telling you, i thought it was a model of a tooth at first 🦊 no no 😣😣 🐧 ah i can’t even show it to you guys 🐧 i tried getting confirmation because i was going to post it on weverse but they said i couldn’t 🤪🚫
1:09

kai wanted to post his extracted wisdom tooth on weverse because it looked really pretty 😭 🐧 when i got the tooth on this side extracted, it broke so i didn’t get to keep the tooth but when they extracted it the other side, the tooth came out very smoothly so the dentist said they’d give it to me as a present 🐧 so i was like “wow this is so fascinating, this is what my wisdom tooth looks like, huh?” 🐧 the tooth was REALLY pretty and i wanted to show it off to moa so i got confirmation as to whether i could post it, just in case, because it might disgust people 🐧 but they said i couldn’t post it because some people might think it’s disgusting 🦊 it was slightly disgusting to me too 🐧 right? but the tooth was REALLY pretty 🦊 that’s right, it was taken out perfectly 🐧 what i felt was that because i brush my teeth well, there was nothing there and i’m handsome just like my tooth, this dude is just as handsome as his tooth 🦊 😮‍💨😮‍💨😮‍💨 🐧 i’m telling you, i thought it was a model of a tooth at first 🦊 no no 😣😣 🐧 ah i can’t even show it to you guys 🐧 i tried getting confirmation because i was going to post it on weverse but they said i couldn’t 🤪🚫

💬

151,061 görüntüleme • 1 yıl önce

Here is the first look of the Financial Model for Pakistan Stock Exchange we have built. At this moment, I don't know if it will be successful or not. Yet it's backtesting has given promising results. I believe it is real time and future testing that matters the most. To make it transparent, I will keep on updating on "X" the top picks from the Model. I request you not to invest a single money based on it's results because it is in the early stage. Every feedback from your side would be highly encouraged. The problem was that investors only see MARI, FFC, ,OGDC PPL, MEBL, Luck like companies because they are mainstream. But remember that there are 457 listed companies and there are some hidden gems that are usually missed by retail investors like us. One such example was SSOM that just exploded in few weeks. Thats why, the purpose of the model was to find those companies that have a lot of potential but are not covered by any brokerage house and yet there results are excellent. Based on this model, some time back, I added positions in companies like AGIL (Agri Autos) SPEL (Synthetic Papers ltd), NATF (National Foods), KSB Pumps, Treet. Because scores of all these companies is excellent. They remained stagnant for long time so my conviction on the model was also declining. But it were last two weeks that made a difference and so was my own conviction on this model. Big names like Wealth ⚡️ Wise Value Investor Doctor in PSX Tayyab 🇵🇰 are already aware of it. On Thursday I added HCAR. I will keep you updated just for testing purpose I again repeat not to invest. I will risk my own money. If it is successful, we intend to make a website where you all have access to this data. How it works and how to read it, I will explain it to you in a separate thread.
0:52

Here is the first look of the Financial Model for Pakistan Stock Exchange we have built. At this moment, I don't know if it will be successful or not. Yet it's backtesting has given promising results. I believe it is real time and future testing that matters the most. To make it transparent, I will keep on updating on "X" the top picks from the Model. I request you not to invest a single money based on it's results because it is in the early stage. Every feedback from your side would be highly encouraged. The problem was that investors only see MARI, FFC, ,OGDC PPL, MEBL, Luck like companies because they are mainstream. But remember that there are 457 listed companies and there are some hidden gems that are usually missed by retail investors like us. One such example was SSOM that just exploded in few weeks. Thats why, the purpose of the model was to find those companies that have a lot of potential but are not covered by any brokerage house and yet there results are excellent. Based on this model, some time back, I added positions in companies like AGIL (Agri Autos) SPEL (Synthetic Papers ltd), NATF (National Foods), KSB Pumps, Treet. Because scores of all these companies is excellent. They remained stagnant for long time so my conviction on the model was also declining. But it were last two weeks that made a difference and so was my own conviction on this model. Big names like Wealth ⚡️ Wise Value Investor Doctor in PSX Tayyab 🇵🇰 are already aware of it. On Thursday I added HCAR. I will keep you updated just for testing purpose I again repeat not to invest. I will risk my own money. If it is successful, we intend to make a website where you all have access to this data. How it works and how to read it, I will explain it to you in a separate thread.

Shayan Baig

54,727 görüntüleme • 1 yıl önce

One of Sega’s greatest strengths in the 1990s was its ability to create arcade games using 3D hardware that completely outclassed the competition. Virtua Racing and Virtua Fighter were developed on the Model 1 arcade system, which was based on advanced 3D technology originally developed for military applications. At the time, their performance was so impressive that other 3D games simply couldn’t compare. Because of that, it was extremely difficult to accurately reproduce these games on home consoles. In the early 1990s, the Model 1 arcade hardware cost close to $7,000, and even Sega’s own systems—the Mega Drive, 32X, and later the Sega Saturn—struggled to deliver arcade-perfect versions. Back then, I was disappointed by the gap in quality between the arcade and home versions. Looking back now, though, it’s amazing that Sega managed to port them as well as they did. It almost feels like a miracle. After eventually buying an arcade cabinet and a Model 1 board, I learned something I hadn’t realized before: Model 1 supported high-resolution monitors, unlike the standard displays used by most home systems. In those days, the average gamer didn’t even think about screen resolution, so seeing Virtua Fighter on a high-resolution arcade monitor created a fundamentally different experience from the home versions. When I first played Virtua Fighter on the Sega Saturn, I remember feeling that something was missing. At the time, I assumed it was simply the lower polygon count, but after seeing the original hardware in action, I realized that the difference in resolution also played a huge role. Sega’s arcade games—especially those built on the Model 1, Model 2, and Model 3 platforms—represent the peak of the company’s technological achievements. That’s one of the reasons I enjoy collecting them so much. Since home console conversions could never fully capture the original experience, the authentic arcade versions have a unique charm that’s hard to replicate. Even today, playing them on the original hardware is a great reminder of why Sega was considered the king of arcade gaming during the 1990s.
2:29

One of Sega’s greatest strengths in the 1990s was its ability to create arcade games using 3D hardware that completely outclassed the competition. Virtua Racing and Virtua Fighter were developed on the Model 1 arcade system, which was based on advanced 3D technology originally developed for military applications. At the time, their performance was so impressive that other 3D games simply couldn’t compare. Because of that, it was extremely difficult to accurately reproduce these games on home consoles. In the early 1990s, the Model 1 arcade hardware cost close to $7,000, and even Sega’s own systems—the Mega Drive, 32X, and later the Sega Saturn—struggled to deliver arcade-perfect versions. Back then, I was disappointed by the gap in quality between the arcade and home versions. Looking back now, though, it’s amazing that Sega managed to port them as well as they did. It almost feels like a miracle. After eventually buying an arcade cabinet and a Model 1 board, I learned something I hadn’t realized before: Model 1 supported high-resolution monitors, unlike the standard displays used by most home systems. In those days, the average gamer didn’t even think about screen resolution, so seeing Virtua Fighter on a high-resolution arcade monitor created a fundamentally different experience from the home versions. When I first played Virtua Fighter on the Sega Saturn, I remember feeling that something was missing. At the time, I assumed it was simply the lower polygon count, but after seeing the original hardware in action, I realized that the difference in resolution also played a huge role. Sega’s arcade games—especially those built on the Model 1, Model 2, and Model 3 platforms—represent the peak of the company’s technological achievements. That’s one of the reasons I enjoy collecting them so much. Since home console conversions could never fully capture the original experience, the authentic arcade versions have a unique charm that’s hard to replicate. Even today, playing them on the original hardware is a great reminder of why Sega was considered the king of arcade gaming during the 1990s.

Gamer_lafan

11,313 görüntüleme • 1 ay önce

I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”
1:45

I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”

Brian Roemmele

74,506 görüntüleme • 1 yıl önce

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊
2:05

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

Jeroen Pixel

55,797 görüntüleme • 2 yıl önce