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Daemonic night visit part two 👤Character models by RyanReos IceDev 🗣️Soundpack by OpenNSFW ⭐Gemini Starsign⭐🔞🎙

NineSix

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80,002 views • 1 year ago •via X (Twitter)

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We’ve fully revamped our LlamaCloud integration with n8n.io as part of the LlamaParse v2 + new LlamaCloud SDK launch. What’s new: ✅ Fully stable nodes for LlamaParse, LlamaExtract, and LlamaCloud Index 🆕 Two new services: LlamaClassify and LlamaSheets 📘 A complete step-by-step setup guide Automating your document workflows has never been easier: parse → classify → extract → retrieve, just by plugging in a few nodes! ⭐ Find the repo on GitHub: 📚 Get started with our guide: 🦙 Sign up to LlamaCloud:

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LlamaIndex 🦙

13,010 views • 7 months ago

A clip is left in my draft tweet with unfinished trans. But today is a good day so.. 😂 Nanon's night owl behaviour 🦉 #TheJungleSeries #mynameisnanon 🪐: There was a scene I played a true swindler. My acting was so scary even for myself and I was confident I did really well. 😎 All: Ohhhh ⭐: How many take did you shoot? 🪐: One. 🐿️: Nanon mostly needed only one take for each scene. 🪐: In that scene I... 🦁: You utilize your real personality? 🪐: No no. It's because the filming condition met my standard. The timing was around 11am-noon so I was properly 'awake' , the perfect condition for filming. 🐰: His body was ready to function. 🪐: Yeah. Physically ready to film. 🐆: (For me) before meal time works best. I'd be fully awake. All: ??? 🪐: You mean before lunch, right? 🐆: Yes. After lunch was not so good.. 🐿️: Luke, are you awake now 😂? 🐆: Now? I guess so.. All: 🤣🤣🤣 🪐: Our pair *point at Punpun* has opposite lifestyle. In real life, it's impossible for us to be together. It's like we live in different time zone. 🐿️: You (Nanon) use US time zone. 🪐: She (Punpun) lives in Thailand time zone, and I, US time zone. ⭐: Totally opposite. 🪐: We're opposite. 🗣️: You mean if I visit the filming set in early morning to see Nanon.. ⭐: He'd be sleeping. 🐿️: You'd meet only his body, like a corpse. ⭐: He always slept in his chair with his neck pillow and headphone on. 😴 🪐: *demonstrate 😴* 🐿️: A body without soul. Not until after 6pm that he would fully wake up. 🐰: And become super energetic. ⭐: Talking non-stop. 🪐: No way. How can you say that? Who is the real non-stop talking one? ⭐: 😮 ----------- Please don't fight. Everyone knows you two are both super talkative. 😂

A clip is left in my draft tweet with unfinished trans. But today is a good day so.. 😂 Nanon's night owl behaviour 🦉 #TheJungleSeries #mynameisnanon 🪐: There was a scene I played a true swindler. My acting was so scary even for myself and I was confident I did really well. 😎 All: Ohhhh ⭐: How many take did you shoot? 🪐: One. 🐿️: Nanon mostly needed only one take for each scene. 🪐: In that scene I... 🦁: You utilize your real personality? 🪐: No no. It's because the filming condition met my standard. The timing was around 11am-noon so I was properly 'awake' , the perfect condition for filming. 🐰: His body was ready to function. 🪐: Yeah. Physically ready to film. 🐆: (For me) before meal time works best. I'd be fully awake. All: ??? 🪐: You mean before lunch, right? 🐆: Yes. After lunch was not so good.. 🐿️: Luke, are you awake now 😂? 🐆: Now? I guess so.. All: 🤣🤣🤣 🪐: Our pair point at Punpun has opposite lifestyle. In real life, it's impossible for us to be together. It's like we live in different time zone. 🐿️: You (Nanon) use US time zone. 🪐: She (Punpun) lives in Thailand time zone, and I, US time zone. ⭐: Totally opposite. 🪐: We're opposite. 🗣️: You mean if I visit the filming set in early morning to see Nanon.. ⭐: He'd be sleeping. 🐿️: You'd meet only his body, like a corpse. ⭐: He always slept in his chair with his neck pillow and headphone on. 😴 🪐: demonstrate 😴 🐿️: A body without soul. Not until after 6pm that he would fully wake up. 🐰: And become super energetic. ⭐: Talking non-stop. 🪐: No way. How can you say that? Who is the real non-stop talking one? ⭐: 😮 ----------- Please don't fight. Everyone knows you two are both super talkative. 😂

Demiane 🫧🎼

40,666 views • 3 years ago

"Lewis Burwell "Chesty" Puller (June 26, 1898 – October 11, 1971) was a United States Marine Corps officer. Beginning his career fighting guerillas in Haiti and Nicaragua as part of the Banana Wars, he later served with distinction in World War II and the Korean War as a senior officer. By the time of his retirement in 1955, he had reached the rank of lieutenant general. Puller was a distant cousin to U.S. Army General George S. Patton.[34]He was an Episcopalian and parishioner of Christ Church Parish in Saluda and is buried in the historic cemetery there next to his wife, Virginia Montague Evans. Decorations and awards Puller received the second-highest U.S. military award six times (one of only two persons so honored): five Navy Crosses and one U.S. Army Distinguished Service Cross. He was the second of two U.S. servicemen (after U.S. Navy submarine commander Roy Milton Davenport) to ever receive five Navy Crosses." Source: Wikipedia I was off by one month to the day on his birthday. Meant to be a surprise to honor your beloved Chesty. He was a distant cousin to Gen. George Patton. I hope you all enjoy this - please drop a heart if you said nightly, "Good night, Chesty, wherever you are." @UnsinkableDolly The Veterans Conductress Dolly4Vets Team #DD214 #USAF Cherished Friend and Partner 💞 𝔀𝓱𝓲𝓼𝓹𝓮𝓻 💞 ( ‏𝓐𝓵 ) 😘 U.S. Marine Veterans Cajun Jarhead Bill Kelly Charles B Cryn Dennis Haub🇺🇸 graceland Hey Marine! KWSUSMC 🇺🇲 America First Lastwolf1098 Walter F. Conner Sr. MVZ Explorer Nywrecker Rick McGachey 🇺🇸 LeatherNeck🇺🇸⭐🇺🇸⭐🇺🇸⭐ Phrog Chief 46 𝕃𝕚𝕖𝕦𝕥𝕖𝕟𝕒𝕟𝕥 ℂ𝕠𝕝𝕠𝕟𝕖𝕝 ℙ 🪖 tommy hernandez

"Lewis Burwell "Chesty" Puller (June 26, 1898 – October 11, 1971) was a United States Marine Corps officer. Beginning his career fighting guerillas in Haiti and Nicaragua as part of the Banana Wars, he later served with distinction in World War II and the Korean War as a senior officer. By the time of his retirement in 1955, he had reached the rank of lieutenant general. Puller was a distant cousin to U.S. Army General George S. Patton.[34]He was an Episcopalian and parishioner of Christ Church Parish in Saluda and is buried in the historic cemetery there next to his wife, Virginia Montague Evans. Decorations and awards Puller received the second-highest U.S. military award six times (one of only two persons so honored): five Navy Crosses and one U.S. Army Distinguished Service Cross. He was the second of two U.S. servicemen (after U.S. Navy submarine commander Roy Milton Davenport) to ever receive five Navy Crosses." Source: Wikipedia I was off by one month to the day on his birthday. Meant to be a surprise to honor your beloved Chesty. He was a distant cousin to Gen. George Patton. I hope you all enjoy this - please drop a heart if you said nightly, "Good night, Chesty, wherever you are." @UnsinkableDolly The Veterans Conductress Dolly4Vets Team #DD214 #USAF Cherished Friend and Partner 💞 𝔀𝓱𝓲𝓼𝓹𝓮𝓻 💞 ( ‏𝓐𝓵 ) 😘 U.S. Marine Veterans Cajun Jarhead Bill Kelly Charles B Cryn Dennis Haub🇺🇸 graceland Hey Marine! KWSUSMC 🇺🇲 America First Lastwolf1098 Walter F. Conner Sr. MVZ Explorer Nywrecker Rick McGachey 🇺🇸 LeatherNeck🇺🇸⭐🇺🇸⭐🇺🇸⭐ Phrog Chief 46 𝕃𝕚𝕖𝕦𝕥𝕖𝕟𝕒𝕟𝕥 ℂ𝕠𝕝𝕠𝕟𝕖𝕝 ℙ 🪖 tommy hernandez

@UnsinkableDolly The Veterans Conductress

62,255 views • 1 month ago

👤: Hey, while you were living together (in LA), did you never fight? Not even once? 🐨: We did fight. One night after drinking, getting all melancholy and stuff. 👤: Who got the angriest? You, right? You again? You got mad again? 🐨: Ah, I didn't get mad! 👤: Who fought with whom? Who fought with whom? And SUGA broke it up. 🐨: Because we had to work again the next day, because we were always doing song camp. So I was like, "Hey. Let's clean this up a bit now, this situation..." and then- 👤: Oh, this is the highlight part right now, isn't it? 🐨: "Hyung, shouldn't you also not say that to Taehyung like that either?" This is what happened. 🐱: No but, I was right there beside them listening, and then suddenly the guys were getting heated, so I called Jimin over and I said, "What's this about?" But since they were all drunk they didn't really know exactly what it was about. But they were all like (huff huff) and then it became like this- 🐨: "No, but still, Hyung, you can't talk to a member like that!" 🐨: "Me? Why? What did I do?” 🐨: And then Taehyung suddenly went, "Exactly, I was disappointed too..." like that. 🐱: No, the two of them were suddenly bawling their eyes out. 👤: All of a sudden the two of them were on the same side. 🐨: Yes! All I said was let's call it a night and then I became some kind of... 👤: You became the bad guy. To Jimin, you were the bad guy. 🐨: I mean, I was less drunk than the two of them. So they followed me to my room and for 3 hours both of them were like "I'm so disappointed" like this. 👤: So what exactly is he disappointed by? 🐱: I was just watching from the side and I kept saying, "Hey, why?" 👤: That's so in character for you. 🐱: Why? Seriously, why? This doesn't seem like the time to fight right now? 👤: Then what about J-Hope? 🐨: Well, Hobi just went in early / went to sleep early. He doesn't drink much. 👤: That's so Hobi-like too. You probably still kind of hear it sometimes even now. 🐨: I do hear it! "A member is having a hard time"

👤: Hey, while you were living together (in LA), did you never fight? Not even once? 🐨: We did fight. One night after drinking, getting all melancholy and stuff. 👤: Who got the angriest? You, right? You again? You got mad again? 🐨: Ah, I didn't get mad! 👤: Who fought with whom? Who fought with whom? And SUGA broke it up. 🐨: Because we had to work again the next day, because we were always doing song camp. So I was like, "Hey. Let's clean this up a bit now, this situation..." and then- 👤: Oh, this is the highlight part right now, isn't it? 🐨: "Hyung, shouldn't you also not say that to Taehyung like that either?" This is what happened. 🐱: No but, I was right there beside them listening, and then suddenly the guys were getting heated, so I called Jimin over and I said, "What's this about?" But since they were all drunk they didn't really know exactly what it was about. But they were all like (huff huff) and then it became like this- 🐨: "No, but still, Hyung, you can't talk to a member like that!" 🐨: "Me? Why? What did I do?” 🐨: And then Taehyung suddenly went, "Exactly, I was disappointed too..." like that. 🐱: No, the two of them were suddenly bawling their eyes out. 👤: All of a sudden the two of them were on the same side. 🐨: Yes! All I said was let's call it a night and then I became some kind of... 👤: You became the bad guy. To Jimin, you were the bad guy. 🐨: I mean, I was less drunk than the two of them. So they followed me to my room and for 3 hours both of them were like "I'm so disappointed" like this. 👤: So what exactly is he disappointed by? 🐱: I was just watching from the side and I kept saying, "Hey, why?" 👤: That's so in character for you. 🐱: Why? Seriously, why? This doesn't seem like the time to fight right now? 👤: Then what about J-Hope? 🐨: Well, Hobi just went in early / went to sleep early. He doesn't drink much. 👤: That's so Hobi-like too. You probably still kind of hear it sometimes even now. 🐨: I do hear it! "A member is having a hard time"

bts memeories⁷

500,822 views • 5 months ago

Clint Eastwood explains why he chose "Play Misty for Me" (1971) as his directorial debut: "Eastwood: It was the subject. I had lived through a similar experience, though it was less dramatic. The character played by Jessica Walter, which was suggested to Jo Heims by an acquaintance of hers, was also familiar to me. It’s someone who fantasizes a love relationship. For my character, the disc jockey, it’s a one-night stand, but for her it’s a devouring passion. This misunderstanding interested me: exactly when do you become involved in a love affair? To what extent are we responsible for the relationship we establish? Interviewer: Weren’t the people you were talking to at Universal surprised that you chose a story in which the dominant character is a woman? Eastwood: Yeah, sure. They kept asking me, “Why are you so eager to make a picture where the woman has the best part?” Their second argument was that the situation wouldn’t be believable: “How could a big strong guy like you be threatened physically by a weak young woman?” I thought, on the contrary, that the obsessive dimension of the relationship would only make the dynamic between the two more interesting and would actually work out better. Besides, it is a type of behavior that you can observe in either sex. I’ve known men who were as possessive as women about the object of their passion." (Clint Eastwood's interview with Michael Henry Wilson, 1984) P.S: Happy 96th birthday, Clint Eastwood!

Clint Eastwood explains why he chose "Play Misty for Me" (1971) as his directorial debut: "Eastwood: It was the subject. I had lived through a similar experience, though it was less dramatic. The character played by Jessica Walter, which was suggested to Jo Heims by an acquaintance of hers, was also familiar to me. It’s someone who fantasizes a love relationship. For my character, the disc jockey, it’s a one-night stand, but for her it’s a devouring passion. This misunderstanding interested me: exactly when do you become involved in a love affair? To what extent are we responsible for the relationship we establish? Interviewer: Weren’t the people you were talking to at Universal surprised that you chose a story in which the dominant character is a woman? Eastwood: Yeah, sure. They kept asking me, “Why are you so eager to make a picture where the woman has the best part?” Their second argument was that the situation wouldn’t be believable: “How could a big strong guy like you be threatened physically by a weak young woman?” I thought, on the contrary, that the obsessive dimension of the relationship would only make the dynamic between the two more interesting and would actually work out better. Besides, it is a type of behavior that you can observe in either sex. I’ve known men who were as possessive as women about the object of their passion." (Clint Eastwood's interview with Michael Henry Wilson, 1984) P.S: Happy 96th birthday, Clint Eastwood!

DepressedBergman

62,601 views • 3 months ago

Reporter: Do you think you two can be role models for the younger actors? 🐨 Maybe… not yet 😅. I mean I can be a little bit of an acting example. But if it’s about real life… yeah no please don’t follow me 😭. 🐰 I think after seeing us in the dressing room earlier the juniors probably don’t trust us anymore 😂. It’s like “wow these two are pretty… pretty but kinda weird though” 🤣. 🐰 Even yesterday when we met P’Namtaan and Film, we were talking and since me and Lookmhee are super close right? Then I turned around and saw Film’s face like this 👉😐😳 Like “huh!?” she was probably confused why we talk like this. We joke around way too much 😂. Reporter: Because you two are funny 🤭. You’ll be funny in the third project too. 🐨 How do you know that!? 👀 Reporter: That must be what you two wanted, right? 🐨 After this? We’ll just be like this. Our real selves. One hundred percent. Full score ⭐. Reporter: If it’s one hundred percent… Won’t the whole show be funny? 🐨 Okay okay fifty percent then 🤣. Or else it’ll be too funny and no drama part left. Reporter: Probably no drama though. 🐰 I read it already and Sonya feels like there is drama 👀. 🐨 Hey hey don’t say too much 😭. Okay okay. 🐰 January twenty-eight, okay? Project three. She’s cool. She’s cooler ( 👉 Lookmhee 😌✨) Not many outfits. Not glam anymore. Just everyday vibe. Down to earth 🫶. Reporter: But Lookmhee and Sonya, being this funny… are you actually in character for the third project? 🐨 This isn’t the real me 🤣. I’m acting. I’m doing the character. 🐰 Yes yes. Character mode. Still acting 🎭. Reporter: Please promote your series. 🐨 Yes! Please support us on January twenty-eight 💗. 🐰 Yes! You’ll get to see the whole Change2561 lineup for next year. So many series coming. Not just Lookmhee Sonya — lots of juniors too. Next year Change is packed 💥. Reporter: Like which ones? (teasing them to spill the new shows) 🐰 Nope. I’m leaving 🚶‍♀️💨. Ending. There’s I Wanna Be Sup’tar, one project. And maybe another one fans are guessing… one more match… And then there will be— 🐰 Okay stop! I’m gonna accidentally say it 😭. I Wanna Be Sup’tar, please support it ✨. Reporter: She already said the title! (pretends to shout to the CEO) 😂 🐨 I didn’t say it! I didn’t!! 😭 (waving hands at the CEO like crazy👋) Oh my gosh I’m gripping this mic so tight. 🐰 P’Pear, you saw that right? Watch for it okay 😌. You’ll see. Okay we’re leaving now. Bye bye 💖👋 #ลูกหมีซอนญ่า #LMSY

Reporter: Do you think you two can be role models for the younger actors? 🐨 Maybe… not yet 😅. I mean I can be a little bit of an acting example. But if it’s about real life… yeah no please don’t follow me 😭. 🐰 I think after seeing us in the dressing room earlier the juniors probably don’t trust us anymore 😂. It’s like “wow these two are pretty… pretty but kinda weird though” 🤣. 🐰 Even yesterday when we met P’Namtaan and Film, we were talking and since me and Lookmhee are super close right? Then I turned around and saw Film’s face like this 👉😐😳 Like “huh!?” she was probably confused why we talk like this. We joke around way too much 😂. Reporter: Because you two are funny 🤭. You’ll be funny in the third project too. 🐨 How do you know that!? 👀 Reporter: That must be what you two wanted, right? 🐨 After this? We’ll just be like this. Our real selves. One hundred percent. Full score ⭐. Reporter: If it’s one hundred percent… Won’t the whole show be funny? 🐨 Okay okay fifty percent then 🤣. Or else it’ll be too funny and no drama part left. Reporter: Probably no drama though. 🐰 I read it already and Sonya feels like there is drama 👀. 🐨 Hey hey don’t say too much 😭. Okay okay. 🐰 January twenty-eight, okay? Project three. She’s cool. She’s cooler ( 👉 Lookmhee 😌✨) Not many outfits. Not glam anymore. Just everyday vibe. Down to earth 🫶. Reporter: But Lookmhee and Sonya, being this funny… are you actually in character for the third project? 🐨 This isn’t the real me 🤣. I’m acting. I’m doing the character. 🐰 Yes yes. Character mode. Still acting 🎭. Reporter: Please promote your series. 🐨 Yes! Please support us on January twenty-eight 💗. 🐰 Yes! You’ll get to see the whole Change2561 lineup for next year. So many series coming. Not just Lookmhee Sonya — lots of juniors too. Next year Change is packed 💥. Reporter: Like which ones? (teasing them to spill the new shows) 🐰 Nope. I’m leaving 🚶‍♀️💨. Ending. There’s I Wanna Be Sup’tar, one project. And maybe another one fans are guessing… one more match… And then there will be— 🐰 Okay stop! I’m gonna accidentally say it 😭. I Wanna Be Sup’tar, please support it ✨. Reporter: She already said the title! (pretends to shout to the CEO) 😂 🐨 I didn’t say it! I didn’t!! 😭 (waving hands at the CEO like crazy👋) Oh my gosh I’m gripping this mic so tight. 🐰 P’Pear, you saw that right? Watch for it okay 😌. You’ll see. Okay we’re leaving now. Bye bye 💖👋 #ลูกหมีซอนญ่า #LMSY

𝓕𝓸𝓷☂︎₉₁₆

32,891 views • 9 months ago

‼️🚨🔵PRESSER🔵🚨‼️ 🎙 Liam Rosenior’s Full Pre-Napoli Press Conference – Part 1/2 🔹 Liam Rosenior on coming up against Conte: “Huge respect for him, firstly as a player 👏. He went on to have an incredible career. His passion as a player transmits to his teams now 🔥. He’s gone on to prove what an incredible manager he is.” 🧠⚽ 🔹 Liam Rosenior on if Palmer is in the squad: “He’s here.” ✅ 🔹 Liam Rosenior on if Palmer is untouchable and happy: “Yes and yes 👍. Cole is an incredible player ⭐. I’m not surprised at the timing — a new manager comes in and a player is unsettled. It’s not true.” ❌🗣️ 🔹 Liam Rosenior on Sterling update: “Not for now.” ⏳ 🔹 Liam Rosenior on if he’s spoken to Anselmino: “I’m due to have a conversation with Aaron 📞. He is due back on Thursday or Friday. I need to have a conversation with him about our future plans.” 🔮 🔹 Liam Rosenior on Conte being last manager to win Premier League with Chelsea — is that too long for the Blues?: “I think for a club of Chelsea’s stature, every year that goes by, you want to win in every year 🏆. The difficulty for any club is that there are loads of good teams that are competing. That’s the aim for us.” 🎯 🔹 Liam Rosenior on Napoli’s recent form: “This is a very, very strong team 💪. They have been unfortunate in the recent games. We know it will be a very difficult game in a special atmosphere 🏟️🔥. It doesn’t change my plans at all.” #CFC | #Chelsea | #UCL | #Interviews 📲 CFC_ChelseaFC via Telegram 📹Beanymansports via Youtube ⬇️⬇️

‼️🚨🔵PRESSER🔵🚨‼️ 🎙 Liam Rosenior’s Full Pre-Napoli Press Conference – Part 1/2 🔹 Liam Rosenior on coming up against Conte: “Huge respect for him, firstly as a player 👏. He went on to have an incredible career. His passion as a player transmits to his teams now 🔥. He’s gone on to prove what an incredible manager he is.” 🧠⚽ 🔹 Liam Rosenior on if Palmer is in the squad: “He’s here.” ✅ 🔹 Liam Rosenior on if Palmer is untouchable and happy: “Yes and yes 👍. Cole is an incredible player ⭐. I’m not surprised at the timing — a new manager comes in and a player is unsettled. It’s not true.” ❌🗣️ 🔹 Liam Rosenior on Sterling update: “Not for now.” ⏳ 🔹 Liam Rosenior on if he’s spoken to Anselmino: “I’m due to have a conversation with Aaron 📞. He is due back on Thursday or Friday. I need to have a conversation with him about our future plans.” 🔮 🔹 Liam Rosenior on Conte being last manager to win Premier League with Chelsea — is that too long for the Blues?: “I think for a club of Chelsea’s stature, every year that goes by, you want to win in every year 🏆. The difficulty for any club is that there are loads of good teams that are competing. That’s the aim for us.” 🎯 🔹 Liam Rosenior on Napoli’s recent form: “This is a very, very strong team 💪. They have been unfortunate in the recent games. We know it will be a very difficult game in a special atmosphere 🏟️🔥. It doesn’t change my plans at all.” #CFC | #Chelsea | #UCL | #Interviews 📲 CFC_ChelseaFC via Telegram 📹Beanymansports via Youtube ⬇️⬇️

Miki Djan

20,646 views • 7 months ago

A 24-YEAR-OLD CHINESE DEVELOPER FROM HANGZHOU TURNED RTX 4090 / 3090-CLASS GPU RACKS INTO HIS OWN PRIVATE AI CLOUD. HIS $740/MONTH AI BILL DROPPED TO $31 IN ELECTRICITY he got tired of paying for chatgpt, claude, cursor, openai api credits and every “pro” tool that quietly turns into another monthly tax. long context runs, codebase scans, document parsing, agent loops. every workflow ended with a new invoice so he built a local llm rack instead. used server hardware, RTX 4090 / 3090-class GPU boxes, ollama for automation, lm studio for testing models, llama.cpp for heavier local runs. around $6,200 upfront, but after that the cost is mostly power and maintenance now his scripts hit localhost instead of a cloud api. code reviews, private docs, chinese contracts, sql cleanup, support replies and research tasks stay inside the room. no token panic, no rate-limit wall, no sensitive files leaving his own machines the funny part is that he did not replace claude completely. he just stopped using frontier models for dumb volume work. 65% of daily ai tasks do not need the smartest model alive. they need cheap tokens, privacy and a machine that can run all night cloud ai is still the brain. local ai is the engine room. once he separated those two, his monthly ai stack stopped looking like subscriptions and started looking like infrastructure by 2027, owning your own local ai rack will not look extreme. it will look like the moment people realized renting intelligence forever was the expensive option.

A 24-YEAR-OLD CHINESE DEVELOPER FROM HANGZHOU TURNED RTX 4090 / 3090-CLASS GPU RACKS INTO HIS OWN PRIVATE AI CLOUD. HIS $740/MONTH AI BILL DROPPED TO $31 IN ELECTRICITY he got tired of paying for chatgpt, claude, cursor, openai api credits and every “pro” tool that quietly turns into another monthly tax. long context runs, codebase scans, document parsing, agent loops. every workflow ended with a new invoice so he built a local llm rack instead. used server hardware, RTX 4090 / 3090-class GPU boxes, ollama for automation, lm studio for testing models, llama.cpp for heavier local runs. around $6,200 upfront, but after that the cost is mostly power and maintenance now his scripts hit localhost instead of a cloud api. code reviews, private docs, chinese contracts, sql cleanup, support replies and research tasks stay inside the room. no token panic, no rate-limit wall, no sensitive files leaving his own machines the funny part is that he did not replace claude completely. he just stopped using frontier models for dumb volume work. 65% of daily ai tasks do not need the smartest model alive. they need cheap tokens, privacy and a machine that can run all night cloud ai is still the brain. local ai is the engine room. once he separated those two, his monthly ai stack stopped looking like subscriptions and started looking like infrastructure by 2027, owning your own local ai rack will not look extreme. it will look like the moment people realized renting intelligence forever was the expensive option.

Gipp 🦅

21,320 views • 2 months ago

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Ricardo

50,564 views • 3 months ago

I've been building an animated short film from scratch using AI tools, no studio, no team, just me figuring it out one shot at a time. The project is called "Don't Judge a Bark by Its Bite", a 3-5 minute animated short. 7 characters. A real story. A real script. Real stakes. Here's what nobody tells you about AI filmmaking: The tools are incredible. And they will humble you daily. I started with a locked screenplay, 7 character design sheets, 3 environments, and a 24-shot list. I thought the hard part was behind me. Then I started generating.Shot 1 alone took 6 attempts. Background dogs with glitchy paws. Characters appearing out of nowhere. A ball that kept deflating mid-shot. An engine that kept making my lead look angry when he was supposed to look warm. I switched video models entirely halfway through production. Rebuilt my entire workflow from scratch. I learned that "soaking wet" triggers NSFW filters. That circular pipe openings cause problems I won't describe here. That getting a small dog to look stuck, actually stuck, in a drainage pipe took 11 separate prompts over two sessions. But then it works. And when it works it's genuinely cinematic. A dog painting a portrait of his friend in a sunny park. Two dogs bumping into each other at a fence line. A little dog choosing kindness when she didn't have to. None of this is finished. But it's real. And it's getting better every session. If you're building something hard and slow and worth it, I see you. More to come. 🐾

I've been building an animated short film from scratch using AI tools, no studio, no team, just me figuring it out one shot at a time. The project is called "Don't Judge a Bark by Its Bite", a 3-5 minute animated short. 7 characters. A real story. A real script. Real stakes. Here's what nobody tells you about AI filmmaking: The tools are incredible. And they will humble you daily. I started with a locked screenplay, 7 character design sheets, 3 environments, and a 24-shot list. I thought the hard part was behind me. Then I started generating.Shot 1 alone took 6 attempts. Background dogs with glitchy paws. Characters appearing out of nowhere. A ball that kept deflating mid-shot. An engine that kept making my lead look angry when he was supposed to look warm. I switched video models entirely halfway through production. Rebuilt my entire workflow from scratch. I learned that "soaking wet" triggers NSFW filters. That circular pipe openings cause problems I won't describe here. That getting a small dog to look stuck, actually stuck, in a drainage pipe took 11 separate prompts over two sessions. But then it works. And when it works it's genuinely cinematic. A dog painting a portrait of his friend in a sunny park. Two dogs bumping into each other at a fence line. A little dog choosing kindness when she didn't have to. None of this is finished. But it's real. And it's getting better every session. If you're building something hard and slow and worth it, I see you. More to come. 🐾

Devin

15,070 views • 2 months ago

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

Ricardo

217,196 views • 7 months ago

RAMBO III starring Sylvester Stallone hit theaters on this day in 1988. I was there opening night with my dad. Great memories! _DavidMorrell who introduced the world to Rambo with the publication of FIRST BLOOD in 1972, wrote a novelization of an early script of RAMBO III as he did with RAMBO: FIRST BLOOD PART II. The RAMBO III novelization is a must for fans of David Morrell and his iconic character. You can find it in paperback and in a stunning hardcover limited edition from Gauntlet Press. Interesting lines from Mousa in the film: “This is Afghanistan. Alexander the Great try to conquer this country, then Genghis Khan, then the British, now Russia. But Afghan people fight hard, they never be defeated. Ancient enemy make prayer about these people...It says, ‘May God deliver us from the venom of the cobra, teeth of the tiger, and the vengeance of the Afghan.’” In the novelization by David Morrell the dialogue is similar: “Over two thousand years of war. Afghan never defeated. Hard country. Hard people...Alexander the Great and Genghis Khan, the Persians, the Mongols, the British, now the Russians, all have tried to conquer my country. They will not do this...There is a famous prayer... ‘Deliver us from the venom of the cobra, the claws of the tiger, and the vengeance of the Afghan.’” Who has seen the films AND read the books? And for extra credit, who can tell me what watch Stallone is wearing in the movie? Hint, I’ve posted a photo of it before...

RAMBO III starring Sylvester Stallone hit theaters on this day in 1988. I was there opening night with my dad. Great memories! _DavidMorrell who introduced the world to Rambo with the publication of FIRST BLOOD in 1972, wrote a novelization of an early script of RAMBO III as he did with RAMBO: FIRST BLOOD PART II. The RAMBO III novelization is a must for fans of David Morrell and his iconic character. You can find it in paperback and in a stunning hardcover limited edition from Gauntlet Press. Interesting lines from Mousa in the film: “This is Afghanistan. Alexander the Great try to conquer this country, then Genghis Khan, then the British, now Russia. But Afghan people fight hard, they never be defeated. Ancient enemy make prayer about these people...It says, ‘May God deliver us from the venom of the cobra, teeth of the tiger, and the vengeance of the Afghan.’” In the novelization by David Morrell the dialogue is similar: “Over two thousand years of war. Afghan never defeated. Hard country. Hard people...Alexander the Great and Genghis Khan, the Persians, the Mongols, the British, now the Russians, all have tried to conquer my country. They will not do this...There is a famous prayer... ‘Deliver us from the venom of the cobra, the claws of the tiger, and the vengeance of the Afghan.’” Who has seen the films AND read the books? And for extra credit, who can tell me what watch Stallone is wearing in the movie? Hint, I’ve posted a photo of it before...

Jack Carr

14,862 views • 3 months ago

Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it. 4 of the most cited AI researchers alive walked out of Google in a single afternoon. Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone. That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade. The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind. But turns out that's completely wrong, because the numbers underneath tell a completely different story: Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it. Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic. Now look at the other number. By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business. Google understood that the frontier race is the expensive part while selling the shovels is the profitable part. And the customers buying those shovels include Google's own rivals. Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product. Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top. The researchers leaving is the symptom of a company that already decided models are not where it wins. Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests." Read that from Google's side: The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest. Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over. None of that reads as failure once you see the strategy. Yet Wall Street is pricing this as Google losing. The parallel that should worry the frontier labs: If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running. Google is the first giant to admit that. The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship. Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it. The model business is actually just a race where everyone loses. Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic. Who will go bankrupt first?

Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it. 4 of the most cited AI researchers alive walked out of Google in a single afternoon. Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone. That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade. The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind. But turns out that's completely wrong, because the numbers underneath tell a completely different story: Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it. Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic. Now look at the other number. By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business. Google understood that the frontier race is the expensive part while selling the shovels is the profitable part. And the customers buying those shovels include Google's own rivals. Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product. Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top. The researchers leaving is the symptom of a company that already decided models are not where it wins. Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests." Read that from Google's side: The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest. Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over. None of that reads as failure once you see the strategy. Yet Wall Street is pricing this as Google losing. The parallel that should worry the frontier labs: If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running. Google is the first giant to admit that. The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship. Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it. The model business is actually just a race where everyone loses. Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic. Who will go bankrupt first?

Ricardo

241,927 views • 23 days ago