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Seeking an alternative to SDS for NeRF editing, not generation? Try our PDS, enabling substantial changes in NeRF, surpassing InstructN2N. Transform a human body into Spider-Man, Batman, Steve Jobs, and more! Project: arXiv:

Minhyuk Sung @ ICML 2026

2,033 subscribers

18,542 次观看 • 2 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

4 条评论

Adam 的头像

Adam2 年前

Wow amazing work!

RedDeer.Games IR 的头像

RedDeer.Games IR2 年前

🌈✨ Transform playtime into learning time with The Smurfs on Nintendo Switch! 🎓🎮 Perfect for curious minds. Buy now: [The Smurfs: Learn and Play]( #Smurfs #NintendoSwitch

田中義弘 | taziku CEO / AI × Creative 的头像

田中義弘 | taziku CEO / AI × Creative2 年前

I was not aware that NeRF could be converted! Great technology!

Muhammad Waseem H 的头像

Muhammad Waseem H2 年前

Wow, this is awesome 🙌🏻

相关视频

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

AK

62,768 次观看 • 3 年前

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation propose to model the 3D parameter as a random variable instead of a constant as in SDS and present variational score distillation (VSD), a principled particle-based variational framework to explain and address the aforementioned issues in text-to-3D generation. We show that SDS is a special case of VSD and leads to poor samples with both small and large CFG weights. In comparison, VSD works well with various CFG weights as ancestral sampling from diffusion models and simultaneously improves the diversity and sample quality with a common CFG weight (i.e., 7.5). We further present various improvements in the design space for text-to-3D such as distillation time schedule and density initialization, which are orthogonal to the distillation algorithm yet not well explored. Our overall approach, dubbed ProlificDreamer, can generate high rendering resolution (i.e., 512times512) and high-fidelity NeRF with rich structure and complex effects (e.g., smoke and drops). Further, initialized from NeRF, meshes fine-tuned by VSD are meticulously detailed and photo-realistic paper page:

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation propose to model the 3D parameter as a random variable instead of a constant as in SDS and present variational score distillation (VSD), a principled particle-based variational framework to explain and address the aforementioned issues in text-to-3D generation. We show that SDS is a special case of VSD and leads to poor samples with both small and large CFG weights. In comparison, VSD works well with various CFG weights as ancestral sampling from diffusion models and simultaneously improves the diversity and sample quality with a common CFG weight (i.e., 7.5). We further present various improvements in the design space for text-to-3D such as distillation time schedule and density initialization, which are orthogonal to the distillation algorithm yet not well explored. Our overall approach, dubbed ProlificDreamer, can generate high rendering resolution (i.e., 512times512) and high-fidelity NeRF with rich structure and complex effects (e.g., smoke and drops). Further, initialized from NeRF, meshes fine-tuned by VSD are meticulously detailed and photo-realistic paper page:

AK

46,151 次观看 • 3 年前

🔴 Finally! NVIDIA has finally made the code for Neuralangelo public! It has the ability to transform any video into a highly detailed 3D environment, and it's a technology related to but DIFFERENT from NeRF. 💡 Here's how it works: It takes a 2D video as input, showing an object, monument, building, landscape, etc., from various perspectives and analyzes details such as depth, size, and the shapes of objects. From this, the AI sketches an initial 3D model, similar to how an artist molds a figure. This representation is then refined to highlight more details, just as an artist would make the final touches when sculpting. The result is a 3D environment/model, perfect for use in any environment. Imagine the applications it will have for video games, cinema, virtual environments, VR, and more! 📽️🎮 💡 More details: A year ago, an article was presented on a groundbreaking technique called NVIDIA's Instant NeRF. This technique turns images into stunning 3D scenes in a short time, ideal for creating realistic models for video games and other applications. Although Instant NeRF had a lot of potential, the generated models were not perfect and often lacked detailed structures, appearing somewhat cartoonish. A year on, NVIDIA releases a new technique based on Instant NeRF, named Neuralangelo. This enhances the fidelity of surface structures. While NeRF reconstructs real objects in virtual environments from images or videos, Instant NeRF speeds up this process, and Neuralangelo further improves the quality, making the generated objects appear even more realistic when examined up close. Neuralangelo improves Instant NeRF's approach in two key ways related to the hash grid encoding technique: 1⃣ Numerical gradients have been used to compute higher-order derivatives as a smoothing operation. This optimizes the "hash grid" encoding using numerical rather than analytical gradients, providing a smoother input to the network that produces the 3D model. 2⃣ A "coarse-to-fine" optimization has been implemented in the hash grids to control different levels of detail. That is, they first focus on a smoothed version of the scene, and then refine it with more detailed updates. Well, as Arthur C. Clarke said, "Any sufficiently advanced technology is indistinguishable from magic."

🔴 Finally! NVIDIA has finally made the code for Neuralangelo public! It has the ability to transform any video into a highly detailed 3D environment, and it's a technology related to but DIFFERENT from NeRF. 💡 Here's how it works: It takes a 2D video as input, showing an object, monument, building, landscape, etc., from various perspectives and analyzes details such as depth, size, and the shapes of objects. From this, the AI sketches an initial 3D model, similar to how an artist molds a figure. This representation is then refined to highlight more details, just as an artist would make the final touches when sculpting. The result is a 3D environment/model, perfect for use in any environment. Imagine the applications it will have for video games, cinema, virtual environments, VR, and more! 📽️🎮 💡 More details: A year ago, an article was presented on a groundbreaking technique called NVIDIA's Instant NeRF. This technique turns images into stunning 3D scenes in a short time, ideal for creating realistic models for video games and other applications. Although Instant NeRF had a lot of potential, the generated models were not perfect and often lacked detailed structures, appearing somewhat cartoonish. A year on, NVIDIA releases a new technique based on Instant NeRF, named Neuralangelo. This enhances the fidelity of surface structures. While NeRF reconstructs real objects in virtual environments from images or videos, Instant NeRF speeds up this process, and Neuralangelo further improves the quality, making the generated objects appear even more realistic when examined up close. Neuralangelo improves Instant NeRF's approach in two key ways related to the hash grid encoding technique: 1⃣ Numerical gradients have been used to compute higher-order derivatives as a smoothing operation. This optimizes the "hash grid" encoding using numerical rather than analytical gradients, providing a smoother input to the network that produces the 3D model. 2⃣ A "coarse-to-fine" optimization has been implemented in the hash grids to control different levels of detail. That is, they first focus on a smoothed version of the scene, and then refine it with more detailed updates. Well, as Arthur C. Clarke said, "Any sufficiently advanced technology is indistinguishable from magic."

Javi Lopez ⛩️

689,128 次观看 • 2 年前

Excited to share our latest work on 🎧spatial audio-driven human motion generation. We aim to tackle a largely underexplored yet important problem of enabling virtual humans to move naturally in response to spatial audio—capturing not just what is heard, but also where the sound is coming from. To this end, we introduce the Spatial Audio-Driven Human Motion (SAM) dataset—the first comprehensive dataset featuring paired high-quality human motion and spatial audio recordings. For benchmarking, we develop a generative framework for human MOtion generation driven by SPAtial audio, termed MOSPA, which learns to synthesize realistic and diverse human motions conditioned on spatial audio input. We hope this research could provide a foundation for future research in spatial perception, virtual characters, and embodied AI. The dataset and model will be open-sourced soon. A big thank you to our intern, Shuyang Xu, for the wonderful collaboration! Congratulations, Shuyang! Project page: Paper: Video: #Animation #CG #CV #AIGC #DL #Deeplearning #Motion #Graphics #AI #GenerativeAI

Excited to share our latest work on 🎧spatial audio-driven human motion generation. We aim to tackle a largely underexplored yet important problem of enabling virtual humans to move naturally in response to spatial audio—capturing not just what is heard, but also where the sound is coming from. To this end, we introduce the Spatial Audio-Driven Human Motion (SAM) dataset—the first comprehensive dataset featuring paired high-quality human motion and spatial audio recordings. For benchmarking, we develop a generative framework for human MOtion generation driven by SPAtial audio, termed MOSPA, which learns to synthesize realistic and diverse human motions conditioned on spatial audio input. We hope this research could provide a foundation for future research in spatial perception, virtual characters, and embodied AI. The dataset and model will be open-sourced soon. A big thank you to our intern, Shuyang Xu, for the wonderful collaboration! Congratulations, Shuyang! Project page: Paper: Video: #Animation #CG #CV #AIGC #DL #Deeplearning #Motion #Graphics #AI #GenerativeAI

Zhiyang (Frank) Dou

14,610 次观看 • 1 年前

Jony Ive explains the Steve Jobs product philosophy that saved Apple from bankruptcy in 1998 “Our job isn’t to make money for Apple. Our job is to try and make the very best products we can.” Jony is aware that this sounds simplistic and easy to say given that Apple is one of the most valuable companies in the world today. But he points out that Steve Jobs stuck to this philosophy when Apple was on the verge of bankruptcy in 1998: “When Steve came back, that’s how he articulated what the goals of the company needed to be… It takes a tremendous courage when you’re losing fabulously large amounts of money to say ‘Our goal isn’t turnaround. Our goal is to make a great product.’ That’s not a natural reflex to that situation. The reflex is: let’s not spend this money and let’s try to get a little bit more because we’re about to go out of business.”

Jony Ive explains the Steve Jobs product philosophy that saved Apple from bankruptcy in 1998 “Our job isn’t to make money for Apple. Our job is to try and make the very best products we can.” Jony is aware that this sounds simplistic and easy to say given that Apple is one of the most valuable companies in the world today. But he points out that Steve Jobs stuck to this philosophy when Apple was on the verge of bankruptcy in 1998: “When Steve came back, that’s how he articulated what the goals of the company needed to be… It takes a tremendous courage when you’re losing fabulously large amounts of money to say ‘Our goal isn’t turnaround. Our goal is to make a great product.’ That’s not a natural reflex to that situation. The reflex is: let’s not spend this money and let’s try to get a little bit more because we’re about to go out of business.”

Startup Archive

199,892 次观看 • 7 个月前

“Trump is not fighting for you. You are his human shields, and you always have been.” – Jon Stewart, from our season finale in April, on the way Trump’s supporters try to turn him into a freedom-fighting folk hero.

“Trump is not fighting for you. You are his human shields, and you always have been.” – Jon Stewart, from our season finale in April, on the way Trump’s supporters try to turn him into a freedom-fighting folk hero.

The Problem With Jon Stewart

89,918 次观看 • 2 年前

🤖✨Excited to share our new work: OMG: Omni-Modal Motion Generation for Generalist Humanoid Control What if a humanoid could understand intent from language, music/audio, human motion, or their combinations—and turn it into executable whole-body motion in real time? [🧵1/11]

🤖✨Excited to share our new work: OMG: Omni-Modal Motion Generation for Generalist Humanoid Control What if a humanoid could understand intent from language, music/audio, human motion, or their combinations—and turn it into executable whole-body motion in real time? [🧵1/11]

Siqiao Huang

12,780 次观看 • 1 个月前

New Quarter, New Month, New Project ;) Say hello to 'illura' Transform your photos into breathtaking illustrations while preserving the unique aura you radiate. - No subscriptions - Multiple styles - Fine-tuned to get the best results. Launch giveaway: Just repost and drop an 👋 and you get to try it early and get a chance to receive a picture in your favorite style for free!

New Quarter, New Month, New Project ;) Say hello to 'illura' Transform your photos into breathtaking illustrations while preserving the unique aura you radiate. - No subscriptions - Multiple styles - Fine-tuned to get the best results. Launch giveaway: Just repost and drop an 👋 and you get to try it early and get a chance to receive a picture in your favorite style for free!

Adithya 🚀

11,676 次观看 • 1 年前

📢 IntrinsiX: High-Quality PBR Generation using Image Priors 📢 From text input, we generate renderable PBR maps! Next to editable image generation, our predictions can be distilled into room-scale scenes using SDS for large-scale PBR texture generation. We first train separate LoRA modules for the intrinsic properties of albedo, rough/metal, normal. Then, we introduce cross-intrinsic attention using a rerendering loss with importance-weighted light sampling to enable coherent PBR generation. Our method outperforms text -> image -> PBR methods both in generalization and quality, since directly generating PBR maps does not suffer from the inherent ambiguity of intrinsic image decomposition. In addition, our design choice facilitates SDS-based PBR texture distillation. 🌍 🎥 Great work by Peter Kocsis, Lukas Höllein

📢 IntrinsiX: High-Quality PBR Generation using Image Priors 📢 From text input, we generate renderable PBR maps! Next to editable image generation, our predictions can be distilled into room-scale scenes using SDS for large-scale PBR texture generation. We first train separate LoRA modules for the intrinsic properties of albedo, rough/metal, normal. Then, we introduce cross-intrinsic attention using a rerendering loss with importance-weighted light sampling to enable coherent PBR generation. Our method outperforms text -> image -> PBR methods both in generalization and quality, since directly generating PBR maps does not suffer from the inherent ambiguity of intrinsic image decomposition. In addition, our design choice facilitates SDS-based PBR texture distillation. 🌍 🎥 Great work by Peter Kocsis, Lukas Höllein

Matthias Niessner

21,891 次观看 • 1 年前

The time Steve Jobs went nuclear in a meeting with McDonald’s: “We had an idea to do a distribution deal for iTunes with McDonald’s. The executive at McDonald's was posturing and Steve saw the meeting going bad and Steve went nuclear on them. Steve just said "Man don't you guys know you make food that kills kids?” I was representing McDonald's and the guys at McDonald's are looking at me like "You walked me into this sh*t? And I'm like "He's just playing man. He don't mean that."

The time Steve Jobs went nuclear in a meeting with McDonald’s: “We had an idea to do a distribution deal for iTunes with McDonald’s. The executive at McDonald's was posturing and Steve saw the meeting going bad and Steve went nuclear on them. Steve just said "Man don't you guys know you make food that kills kids?” I was representing McDonald's and the guys at McDonald's are looking at me like "You walked me into this sh*t? And I'm like "He's just playing man. He don't mean that."

David Senra

151,778 次观看 • 25 天前

IMO the most important scientific event this week was the publication of David R. Liu’s new Nature article 🧵👇in which he presented a new and promising Gene Editing modality named PERT - Prime Editing-mediated Readthrough of premature termination codons. This new modality - which uses Prime Editing to converted a regular tRNA gene into a highly optimized suppressor tRNA thus enabling permanent readthrough of premature stop codons, could potentially provide a one-time curative treatment for countless nonsense mutations which are responsible for almost one-third of all human genetic diseases! Here is an excellent lecture by Prof. David Liu - one of the most important scientists and innovators of our lifetime and the person who invented both Base editing and Prime editing - the 2 top leading modalities of Gene Editing, in which he throughly explains this huge scientific breakthrough. $PRME $BEAM

IMO the most important scientific event this week was the publication of David R. Liu’s new Nature article 🧵👇in which he presented a new and promising Gene Editing modality named PERT - Prime Editing-mediated Readthrough of premature termination codons. This new modality - which uses Prime Editing to converted a regular tRNA gene into a highly optimized suppressor tRNA thus enabling permanent readthrough of premature stop codons, could potentially provide a one-time curative treatment for countless nonsense mutations which are responsible for almost one-third of all human genetic diseases! Here is an excellent lecture by Prof. David Liu - one of the most important scientists and innovators of our lifetime and the person who invented both Base editing and Prime editing - the 2 top leading modalities of Gene Editing, in which he throughly explains this huge scientific breakthrough. $PRME $BEAM

Yair Einhorn

62,189 次观看 • 7 个月前

The Injection Put into People’s Arms Instructs the Human Body to Manufacture a SCHEDULED TOXIN Dr. David Martin explains why the COVID shots are actually bioweapons, not vaccines. • Pfizer BioNTech and Moderna explicitly described mRNA as an experimental gene therapy in their SEC filings. • Coronavirus fragments were described as “bio-warfare enabling technology” at a 2005 DARPA conference. • According to 7 CFR Part 331, the spike protein associated with any modification of coronavirus is classified as a biological weapon. • The injections instruct the human body to manufacture a scheduled toxin (spike protein). See pinned post for full interview --> The Vigilant Fox 🦊

The Injection Put into People’s Arms Instructs the Human Body to Manufacture a SCHEDULED TOXIN Dr. David Martin explains why the COVID shots are actually bioweapons, not vaccines. • Pfizer BioNTech and Moderna explicitly described mRNA as an experimental gene therapy in their SEC filings. • Coronavirus fragments were described as “bio-warfare enabling technology” at a 2005 DARPA conference. • According to 7 CFR Part 331, the spike protein associated with any modification of coronavirus is classified as a biological weapon. • The injections instruct the human body to manufacture a scheduled toxin (spike protein). See pinned post for full interview --> The Vigilant Fox 🦊

The Vigilant Fox 🦊

456,764 次观看 • 2 年前

In NEW Tony Robbins interview, Ray Kurzweil admits that AI will be integrated and merged into the Human body with microchips and nanobots in the bloodstream. A biological merger of human beings with AI. This is the mark. Hardware that will be connected to the software MRNA they injected in 2020 into Billions. That was the Real Agenda. It’s wide in the open just like the Gates of Hell. The American people are fools for NOT understanding what is coming. Do not comply! AI is the alien invasion and the biological merger of man and machine into an alien hybrid. Watch FULL interview and See for yourself !

In NEW Tony Robbins interview, Ray Kurzweil admits that AI will be integrated and merged into the Human body with microchips and nanobots in the bloodstream. A biological merger of human beings with AI. This is the mark. Hardware that will be connected to the software MRNA they injected in 2020 into Billions. That was the Real Agenda. It’s wide in the open just like the Gates of Hell. The American people are fools for NOT understanding what is coming. Do not comply! AI is the alien invasion and the biological merger of man and machine into an alien hybrid. Watch FULL interview and See for yourself !

Christopher Greene 😎🏝🚀⛵️

14,641 次观看 • 1 个月前

Meta to build $13 billion Alberta data centre, its first in Canada Smith "The project will create more than 3,000 construction jobs, support 300 operational jobs, and generate approximately 250 million annually in benefits for Albertans, including through royalties, taxes, levies and fees." Gary Demasi, Meta’s VP of Data Centre Strategy "Our first in Canada and our largest outside the U.S. this 2.9 million square foot facility will represent an investment of more than 13 billion Canadian dollars." "...META pays the full cost of our data center's energy use so those costs are not passed on to consumers." Meta Danielle Smith

Meta to build $13 billion Alberta data centre, its first in Canada Smith "The project will create more than 3,000 construction jobs, support 300 operational jobs, and generate approximately 250 million annually in benefits for Albertans, including through royalties, taxes, levies and fees." Gary Demasi, Meta’s VP of Data Centre Strategy "Our first in Canada and our largest outside the U.S. this 2.9 million square foot facility will represent an investment of more than 13 billion Canadian dollars." "...META pays the full cost of our data center's energy use so those costs are not passed on to consumers." Meta Danielle Smith

cbcwatcher

34,026 次观看 • 8 天前

Nicole Shanahan warns of an “extinction” level risk if AI-developed mRNA vaccines are rushed into use. “What we need for the mRNA platform right now is a moratorium. It's not ready for human use.” “It delivers an inconsistent result in individuals.” “In order for our population to grow, to be strong, to be fully able-bodied, and for our human economy to thrive, we do need a moratorium on the mRNA for the time being.” “AI is a computer system. Human health is not.” “There's so many that could have been shared in yesterday's conference that are really excellent uses of AI… I heard a few that were kind of out there and if deployed too quickly could lead to an extinction event.”

Nicole Shanahan warns of an “extinction” level risk if AI-developed mRNA vaccines are rushed into use. “What we need for the mRNA platform right now is a moratorium. It's not ready for human use.” “It delivers an inconsistent result in individuals.” “In order for our population to grow, to be strong, to be fully able-bodied, and for our human economy to thrive, we do need a moratorium on the mRNA for the time being.” “AI is a computer system. Human health is not.” “There's so many that could have been shared in yesterday's conference that are really excellent uses of AI… I heard a few that were kind of out there and if deployed too quickly could lead to an extinction event.”

End Tribalism in Politics

572,290 次观看 • 1 年前

today, we are making the Mosaic video editing api available to all agents & humans. see how we setup larry — our slack openclaw agent — with a mosaic api key and had it clip, edit, and post archived steve jobs footage. all without ever leaving slack. you can connect your openclaw agents, claude code, or vibe-coded saas to our agentic video editing api. no waitlist — now live at mosaic [dot] so. comment "API" to get 100 free credits dropped into your account to get started with the api for free. more details on why & how we’re making this change below (thread):

today, we are making the Mosaic video editing api available to all agents & humans. see how we setup larry — our slack openclaw agent — with a mosaic api key and had it clip, edit, and post archived steve jobs footage. all without ever leaving slack. you can connect your openclaw agents, claude code, or vibe-coded saas to our agentic video editing api. no waitlist — now live at mosaic [dot] so. comment "API" to get 100 free credits dropped into your account to get started with the api for free. more details on why & how we’re making this change below (thread):

Adish Jain ☕️

20,454 次观看 • 4 个月前

In our next phase of turning Home Affairs into an economic enabler, I am delighted to announce two new pioneering digital visa schemes: STAGES (Screen Talent and Global Entertainment Scheme) will create a seamless digital visa system for the film industry, and MEETS (Meetings, Events and Exhibitions Tourism Scheme) for sports, exhibitions and events. Together, STAGES and MEETS are set to transform South Africa into a leading global destination for film, tourism, sports, arts, culture and events – all sectors with enormous potential to grow the economy and create jobs! 🚀

In our next phase of turning Home Affairs into an economic enabler, I am delighted to announce two new pioneering digital visa schemes: STAGES (Screen Talent and Global Entertainment Scheme) will create a seamless digital visa system for the film industry, and MEETS (Meetings, Events and Exhibitions Tourism Scheme) for sports, exhibitions and events. Together, STAGES and MEETS are set to transform South Africa into a leading global destination for film, tourism, sports, arts, culture and events – all sectors with enormous potential to grow the economy and create jobs! 🚀

Leon Schreiber

65,045 次观看 • 1 年前

Last summer’s concerts in Golden Gate Park gave our city a huge economic boost. A new report found that they brought $193.1 million in economic impact to San Francisco, and $110.4 million in wages. It also created 1,000 jobs. These events–Dead & Company, Outside Lands, and a Zach Bryan concert–not only brought amazing entertainment to our city but a lasting impact for our communities. Over three weekends, they brought visitors into our small businesses, patrons into restaurants, and life into our parks and neighborhoods. The arts are driving our city’s comeback, and we’re looking forward to hosting more world-class events like these this summer.

Last summer’s concerts in Golden Gate Park gave our city a huge economic boost. A new report found that they brought $193.1 million in economic impact to San Francisco, and $110.4 million in wages. It also created 1,000 jobs. These events–Dead & Company, Outside Lands, and a Zach Bryan concert–not only brought amazing entertainment to our city but a lasting impact for our communities. Over three weekends, they brought visitors into our small businesses, patrons into restaurants, and life into our parks and neighborhoods. The arts are driving our city’s comeback, and we’re looking forward to hosting more world-class events like these this summer.

Daniel Lurie 丹尼爾·羅偉

15,784 次观看 • 1 个月前

Kolkata is finally moving towards relief from chronic traffic congestion. The Orange Line Metro project is not just an infrastructure initiative, but a major step towards easing the daily struggles of thousands of commuters. For years, Mamata Banerjee kept this crucial project stalled for political interests, forcing citizens to endure endless inconvenience and delays. Once completed, this project will transform connectivity in Kolkata, making travel faster, smoother, and far more reliable for the people of the city. A significant leap forward for Kolkata’s urban transport network and for the everyday lives of its citizens.

Kolkata is finally moving towards relief from chronic traffic congestion. The Orange Line Metro project is not just an infrastructure initiative, but a major step towards easing the daily struggles of thousands of commuters. For years, Mamata Banerjee kept this crucial project stalled for political interests, forcing citizens to endure endless inconvenience and delays. Once completed, this project will transform connectivity in Kolkata, making travel faster, smoother, and far more reliable for the people of the city. A significant leap forward for Kolkata’s urban transport network and for the everyday lives of its citizens.

BJP West Bengal

12,618 次观看 • 2 个月前

Andrej Karpathy beautifully explains the fundamental difference of learning between a human and an LLM. > “The book I’m reading is a set of prompts for me to do synthetic data generation. It's by manipulating that information that you actually gain that knowledge. We have no equivalent of that with LLMs; they don't really do that.” many of the best minds in this field think LLMs are not really learning anything, and therefore are incapable of surpassing human-level intelligence.

Andrej Karpathy beautifully explains the fundamental difference of learning between a human and an LLM. > “The book I’m reading is a set of prompts for me to do synthetic data generation. It's by manipulating that information that you actually gain that knowledge. We have no equivalent of that with LLMs; they don't really do that.” many of the best minds in this field think LLMs are not really learning anything, and therefore are incapable of surpassing human-level intelligence.

ℏεsam

895,122 次观看 • 9 个月前