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Not everything is as it seems 🤖 Evolving #GenerativeAI enables scammers to create ultra-realistic human avatars using voice, image, and text manipulation. #ThinkTwice: Verify identities through multiple channels and be cautious of requests, even from "familiar" faces.

INTERPOL

344,398 subscribers

25,493 次观看 • 1 年前 •via X (Twitter)

新闻政治科学技术 #GenerativeAI #ThinkTwice

Anya Rossi• Live Now

Private livecam show

10 条评论

Elora Simpson🇺🇲🦅🇺🇦 🟧 ☮ 的头像

Elora Simpson🇺🇲🦅🇺🇦 🟧 ☮1 年前

@BaddCompani @FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I knew this A.I. BS would be abused and extremely dangerous...and here we are!! 🤦‍♀️🤬

Schorse 的头像

Schorse1 年前

@INTERPOL_Cyber @FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet Look at Globiance…. h t t p s“//„twitter(point)com/i/spaces/1ynJODpXkMWxR

Prabakaran K 🐅 的头像

Prabakaran K 🐅1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet 💯

Madan Lokhande 的头像

Madan Lokhande1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I am always with you sweet friends

유희석/Henry Yoo 的头像

유희석/Henry Yoo1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I see. SQ

Prof. G. Morara Geke-Senior Counsel 的头像

Prof. G. Morara Geke-Senior Counsel1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet There are fellows who have stolen funding from Public Benefit organizations and are now hiding exposing large populations to poverty and insecurity.Please investigate Kepta Ombati(Akiba Uhaki), Houghton Irungu(Amnesty International-Kenya) Ochieng Khairalla(4CS) and Ochanda(ICAD).

Ke Cheng 的头像

Ke Cheng1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet The biggest scammers are the Hong Kong police who have put in prison many innocent people

UNDH 的头像

UNDH1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet cela est mon numéros +2250160698014 pour plus de vérifications . attentions au associations de connectivité.

A.S.Mohamed Ali 的头像

A.S.Mohamed Ali1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet Thank you,

arvind 的头像

arvind1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet HUM ZZZZZ... Unseen whiling Patel creeps perpetrating this....

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"It has come to my awareness that my name is being used falsely, my image and voice are being cloned" Nigerian businesswoman and philanthropist Folorunso Alakija warns Nigerians against AI-generated investment scams using her likeness to deceive the public. As fraudsters increasingly deploy artificial intelligence to create fake videos and voice clones of trusted public figures, Alakija urged the public to verify information through her official Instagram account. #ChannelsTVNews

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Channels Television

50,902 次观看 • 2 个月前

my V2 system is by far the most high quality and most efficient AI video system right now we have perfected: > ultra realistic voice (no robotic AI voice) > ultra realistic visuals > ultra realistic movement and no it doesn't take 1 hour of editing to get a decent result. this video took me 7 minutes to make and costs 50 cents the system is built for scale and quality. there's little to no manual work you're actually doing here. we're using these videos across every industry and seeing insane results. ecom, saas, info, everything...

my V2 system is by far the most high quality and most efficient AI video system right now we have perfected: > ultra realistic voice (no robotic AI voice) > ultra realistic visuals > ultra realistic movement and no it doesn't take 1 hour of editing to get a decent result. this video took me 7 minutes to make and costs 50 cents the system is built for scale and quality. there's little to no manual work you're actually doing here. we're using these videos across every industry and seeing insane results. ecom, saas, info, everything...

Miko

16,434 次观看 • 4 个月前

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video

Higgsfield AI 🧩

462,414 次观看 • 3 个月前

There has been a concerning rise in AI-generated content that impersonates public figures, including myself. These posts, photos, videos, tour announcements and messages may seem convincing, but they are misleading, manipulated, or entirely fabricated. I want to make it clear that if you see AI content being shared online that claims to be from me or about me and my family, band members and management, especially if it’s through an unverified source or seems unusual, it’s not from us. AI technology has made it easier than ever for malicious actors to create realistic simulations of people’s voices, faces, and actions. Unfortunately, this means it’s now more important than ever to verify the authenticity of the content you’re consuming. Please be cautious of websites, social media posts, or videos that appear to use my likeness, voice, or name without official confirmation or verification. I will NEVER ask you for money, offer VIP meet and greets or sob about troubles in private messages or apps and neither will my family or management team. DON’T GET SCAMMED!! BLOCK AND REPORT IT!! I urge my fans and everyone to think critically about what they see online. If it doesn’t come from my official channels or trusted sources, it’s not truly me. Let’s stay vigilant and protect ourselves from misinformation in this ever-evolving digital landscape.

There has been a concerning rise in AI-generated content that impersonates public figures, including myself. These posts, photos, videos, tour announcements and messages may seem convincing, but they are misleading, manipulated, or entirely fabricated. I want to make it clear that if you see AI content being shared online that claims to be from me or about me and my family, band members and management, especially if it’s through an unverified source or seems unusual, it’s not from us. AI technology has made it easier than ever for malicious actors to create realistic simulations of people’s voices, faces, and actions. Unfortunately, this means it’s now more important than ever to verify the authenticity of the content you’re consuming. Please be cautious of websites, social media posts, or videos that appear to use my likeness, voice, or name without official confirmation or verification. I will NEVER ask you for money, offer VIP meet and greets or sob about troubles in private messages or apps and neither will my family or management team. DON’T GET SCAMMED!! BLOCK AND REPORT IT!! I urge my fans and everyone to think critically about what they see online. If it doesn’t come from my official channels or trusted sources, it’s not truly me. Let’s stay vigilant and protect ourselves from misinformation in this ever-evolving digital landscape.

Travis Tritt

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StyleDrop: Text-to-Image Generation in Any Style introduce StyleDrop, a method that enables the synthesis of images that faithfully follow a specific style using a text-to-image model. The proposed method is extremely versatile and captures nuances and details of a user-provided style, such as color schemes, shading, design patterns, and local and global effects. It efficiently learns a new style by fine-tuning very few trainable parameters (less than 1% of total model parameters) and improving the quality via iterative training with either human or automated feedback. Better yet, StyleDrop is able to deliver impressive results even when the user supplies only a single image that specifies the desired style. An extensive study shows that, for the task of style tuning text-to-image models, StyleDrop implemented on Muse convincingly outperforms other methods, including DreamBooth and textual inversion on Imagen or Stable Diffusion. paper page:

AK

56,377 次观看 • 3 年前

The world 🌍 is always evolving and change is always challenging … Ai 🤖 is a profound technology and impacts things as big as what’s in this video .. please friends regardless of what you feel about above ( which I know freaks out many) the thing I want all of you to focus on is not being left behind professionally.. many of you aren’t using ai 🤖 because ultimately you’re scared it may take your job .. when what is more likely to happen over the next decade is a human 🧒👦🏻👵🏼👨🏾‍🦳👨‍🦰🧑🏿‍🦳👱🏽‍♂️ that uses ai 🤖 🤖🦾🤖🦿🦾🤖 is the one who will take your job Pls start using 🤖 ai apps to learn and become adaptable to where we are and where we are going PS: I turn 50 tomorrow :) come join me and register here

The world 🌍 is always evolving and change is always challenging … Ai 🤖 is a profound technology and impacts things as big as what’s in this video .. please friends regardless of what you feel about above ( which I know freaks out many) the thing I want all of you to focus on is not being left behind professionally.. many of you aren’t using ai 🤖 because ultimately you’re scared it may take your job .. when what is more likely to happen over the next decade is a human 🧒👦🏻👵🏼👨🏾‍🦳👨‍🦰🧑🏿‍🦳👱🏽‍♂️ that uses ai 🤖 🤖🦾🤖🦿🦾🤖 is the one who will take your job Pls start using 🤖 ai apps to learn and become adaptable to where we are and where we are going PS: I turn 50 tomorrow :) come join me and register here

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'We call them the soldiers of the vineyards' — A vineyard in South Africa is using a flock of ducks to protect its grapes from snails, bugs, and other pests. And it’s not quack science — it actually seems to be working!

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29,475 次观看 • 3 年前

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Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation paper page: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which provides an intuitive, yet fine-grained, input interface for users. Instead of a single prompt, users can specify a multi-track timeline of multiple prompts organized in temporal intervals that may overlap. This enables specifying the exact timings of each action and composing multiple actions in sequence or at overlapping intervals. To generate composite animations from a multi-track timeline, we propose a new test-time denoising method. This method can be integrated with any pre-trained motion diffusion model to synthesize realistic motions that accurately reflect the timeline. At every step of denoising, our method processes each timeline interval (text prompt) individually, subsequently aggregating the predictions with consideration for the specific body parts engaged in each action. Experimental comparisons and ablations validate that our method produces realistic motions that respect the semantics and timing of given text prompts.

AK

126,612 次观看 • 2 年前

I think AOC is being paid. She seems to be the voice of the democrat party. Something is not right with that communist. I used to think it was complete stupidity and brainwashing. Now I think it's even darker. Soros?!

I think AOC is being paid. She seems to be the voice of the democrat party. Something is not right with that communist. I used to think it was complete stupidity and brainwashing. Now I think it's even darker. Soros?!

Sassafrass84

52,434 次观看 • 10 个月前

🚨Cognitive Citizen Series – Episode 2 📍In today's AI era, not everything you see or hear is real. AI-generated images and videos can spread disinformation in minutes. 👉 Before you believe or share, use Reverse Image Search: ✅ Capture a screenshot of the image or video frame. ✅ Search it using Google Lens or any Reverse Image Search tool. ✅ Check where it first appeared online. ✅ Compare results with trusted and official sources. ✅ Verify before you amplify. 🛡️ Think. Verify. Protect. 👍 Be Aware. Be Cognitive. Be Resilient. #CognitiveCitizen #BeCognitive #DigitalLiteracy

🚨Cognitive Citizen Series – Episode 2 📍In today's AI era, not everything you see or hear is real. AI-generated images and videos can spread disinformation in minutes. 👉 Before you believe or share, use Reverse Image Search: ✅ Capture a screenshot of the image or video frame. ✅ Search it using Google Lens or any Reverse Image Search tool. ✅ Check where it first appeared online. ✅ Compare results with trusted and official sources. ✅ Verify before you amplify. 🛡️ Think. Verify. Protect. 👍 Be Aware. Be Cognitive. Be Resilient. #CognitiveCitizen #BeCognitive #DigitalLiteracy

INDIAN ARMY FACT CHECK

12,689 次观看 • 1 个月前

.Polymath is training world generation models to automate the creation of RL environments. Traditionally, RL environment generation has been bottlenecked by human data. Superintelligence will never be achieved by human data alone. Polymath is building the core technology to enable automated environment generation using far less human effort than traditionally required, and eventually none. This allows for more complex and realistic worlds, and higher quality, scale, and diversity of tasks. This will be essential to unlock RL scaling. The end goal is to create large-scale, long-horizon environments from a text description alone. This will enable the creation of worlds of arbitrary complexity and scale, which is foundational for training & evaluating autonomous, superintelligent AI agents. Congrats on the launch, Dylan Ma and Naren Yenuganti!

.Polymath is training world generation models to automate the creation of RL environments. Traditionally, RL environment generation has been bottlenecked by human data. Superintelligence will never be achieved by human data alone. Polymath is building the core technology to enable automated environment generation using far less human effort than traditionally required, and eventually none. This allows for more complex and realistic worlds, and higher quality, scale, and diversity of tasks. This will be essential to unlock RL scaling. The end goal is to create large-scale, long-horizon environments from a text description alone. This will enable the creation of worlds of arbitrary complexity and scale, which is foundational for training & evaluating autonomous, superintelligent AI agents. Congrats on the launch, Dylan Ma and Naren Yenuganti!

Y Combinator

44,192 次观看 • 6 个月前

They are going to be who they are.. It is we who need to change how we perceive them. Despite everything we have gone through and still going through.. many of us see them as a better choice in business, mate, and even friendship .

They are going to be who they are.. It is we who need to change how we perceive them. Despite everything we have gone through and still going through.. many of us see them as a better choice in business, mate, and even friendship .

kevin blue

32,646 次观看 • 10 个月前

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Ollama 0.2 is here! Concurrency is now enabled by default. This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as: - Handling multiple chat sessions at the same time - Hosting code completion LLMs for your team - Processing different parts of a document simultaneously - Running multiple agents at the same time Run multiple models Ollama now supports loading different models at the same time. This improves several use cases: - Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously. - Agents: multiple versions of an agent can now run simultaneously - Running large and small models side-by-side Models are automatically loaded and unloaded based on requests and how much GPU memory is available.

ollama

219,440 次观看 • 2 年前

Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!

Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!

RoboPapers

27,360 次观看 • 4 个月前

Just collecting manipulation data isn’t enough for robots - they need to be able to move around in the world, which has a whole different set of challenges from pure manipulation. And bringing navigation and manipulation together in a single framework is even more challenging. Enter HERMES, from Zhecheng Yuan and Tianming Wei. This is a four-stage process in which human videos are used to set up an RL sim-to-real training pipeline in order to overcome differences between robot and human kinematics, and used together with a navigation foundation model to move around in a variety of environments. To learn more, join us as Zhecheng Yuan and Tianming Wei tell us about how they built their system to perform mobile dexterous manipulation from human videos in a variety of environments. Watch Episode #45 of RoboPapers today, hosted by Michael Cho - Rbt/Acc and Chris Paxton!

Just collecting manipulation data isn’t enough for robots - they need to be able to move around in the world, which has a whole different set of challenges from pure manipulation. And bringing navigation and manipulation together in a single framework is even more challenging. Enter HERMES, from Zhecheng Yuan and Tianming Wei. This is a four-stage process in which human videos are used to set up an RL sim-to-real training pipeline in order to overcome differences between robot and human kinematics, and used together with a navigation foundation model to move around in a variety of environments. To learn more, join us as Zhecheng Yuan and Tianming Wei tell us about how they built their system to perform mobile dexterous manipulation from human videos in a variety of environments. Watch Episode #45 of RoboPapers today, hosted by Michael Cho - Rbt/Acc and Chris Paxton!

RoboPapers

15,092 次观看 • 9 个月前

Pi pioneers: Pay attention 🚨 Stay away from those who spread rumors and scammers, and don't listen to those streamers who lie 🤥 Look at what Dr. Fan Chengdiao, the founder of #PiNetwork, said last year 😄 Pi has not authorized any third party. Anyone claiming to be officially authorized by Pi is a scammer. Everything is based on official Pi information. From beginning to end, it is not the Pi project that is deceiving people, but some scammers who are using the Pi name to commit fraud, which seriously hinders the progress of the project.⚠️

Pi pioneers: Pay attention 🚨 Stay away from those who spread rumors and scammers, and don't listen to those streamers who lie 🤥 Look at what Dr. Fan Chengdiao, the founder of #PiNetwork, said last year 😄 Pi has not authorized any third party. Anyone claiming to be officially authorized by Pi is a scammer. Everything is based on official Pi information. From beginning to end, it is not the Pi project that is deceiving people, but some scammers who are using the Pi name to commit fraud, which seriously hinders the progress of the project.⚠️

PiNetwork DEX⚡️阿龙

15,596 次观看 • 2 个月前

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,257 次观看 • 11 个月前