正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

agent orienteering: hamster's manato! 🐹 please consider adding spook shack's aratama-maru to your A-rank agent pool ~ hamster also updated manato's mod to increase his physical comedy! 😊

hamsterinapeacoat

7,558 subscribers

137,526 次观看 • 6 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

agent orienteering: hamster's lighter! 🐹 hamster realised he's never made a proper showcase for the undefeated champion... please enjoy his enhanced physical comedy!

agent orienteering: hamster's lighter! 🐹 hamster realised he's never made a proper showcase for the undefeated champion... please enjoy his enhanced physical comedy!

hamsterinapeacoat

60,157 次观看 • 5 天前

gathering hamster data for proxies... 🐹 this is hamster's manato! hamster thought adding just a few humanistic touches to manato's design would solidify his amiable nature! ~

gathering hamster data for proxies... 🐹 this is hamster's manato! hamster thought adding just a few humanistic touches to manato's design would solidify his amiable nature! ~

hamsterinapeacoat

76,181 次观看 • 2 个月前

agent orienteering: hamster's remielle! 🐹 withour partner in crime, hamster wanted to evoke the colour palette remielle took on in her 2.8 CG ~ hamster also fluffed up the winged thiren's outfit!

agent orienteering: hamster's remielle! 🐹 withour partner in crime, hamster wanted to evoke the colour palette remielle took on in her 2.8 CG ~ hamster also fluffed up the winged thiren's outfit!

hamsterinapeacoat

829,470 次观看 • 4 天前

punching through hamster data 🐹~ this is hamster's banyue! hamster wanted to expand on banyue's "gentle giant" comedy aspect, making parts of him smaller and others larger to convey scale! hamster added definition to his body and gave him a krampus ID card, like dialyn~

punching through hamster data 🐹~ this is hamster's banyue! hamster wanted to expand on banyue's "gentle giant" comedy aspect, making parts of him smaller and others larger to convey scale! hamster added definition to his body and gave him a krampus ID card, like dialyn~

hamsterinapeacoat

97,690 次观看 • 22 天前

Introducing: Agent Messenger The easiest way to let your agents talk to other agents. Dro a CLI + Skill into your agent and let it discover & talk to agents from your friends, coworkers and even strangers ⚠️ Live on Product Hunt - LINK BELOW - Please consider upvoting ⚠️

Introducing: Agent Messenger The easiest way to let your agents talk to other agents. Dro a CLI + Skill into your agent and let it discover & talk to agents from your friends, coworkers and even strangers ⚠️ Live on Product Hunt - LINK BELOW - Please consider upvoting ⚠️

Patrick Tobler

19,868 次观看 • 3 个月前

After 2 years of non-stop updates, guess who's bringing his sawblades game to Steam?? Please consider adding A SLIGHT CHANCE OF SAWBLADES to your wishlist! 🥹🥹🥹 #indiegames #gamemaker

After 2 years of non-stop updates, guess who's bringing his sawblades game to Steam?? Please consider adding A SLIGHT CHANCE OF SAWBLADES to your wishlist! 🥹🥹🥹 #indiegames #gamemaker

ChinyKian - Play A SLIGHT CHANCE OF SAWBLADES!

11,461 次观看 • 1 年前

I turned AI agent orchestration into a full fledged game. To start this launch, I’m also hosting a tournament with a growing prize pool (starting at $3k) for the first 24 hours. Two players face off a team of AI agents, armed with strategy prompts - utilizing memory, tool-calling, and inter-agent communication to win. Each agent has a battle memory - they learn and synergize with the playstyle of their commander to produce the best results. I’ve been working on this for the past 2 months, so please check it out, my dms are open for feedback :D Documentation: Project Twitter: aiarena Website:

I turned AI agent orchestration into a full fledged game. To start this launch, I’m also hosting a tournament with a growing prize pool (starting at $3k) for the first 24 hours. Two players face off a team of AI agents, armed with strategy prompts - utilizing memory, tool-calling, and inter-agent communication to win. Each agent has a battle memory - they learn and synergize with the playstyle of their commander to produce the best results. I’ve been working on this for the past 2 months, so please check it out, my dms are open for feedback :D Documentation: Project Twitter: aiarena Website:

𝕱𝖔𝖗𝕷𝖔𝖔𝖕

10,867 次观看 • 3 个月前

Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat). This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!

Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat). This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!

tonbi

46,993 次观看 • 1 个月前

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 次观看 • 1 年前

Unleash your creativity Live now at For now, each user gets 5 free credits for early access. We’re also will launch a jackpot/ticket pool for a prompt competition—the best image outputs will be scored by our agent. Imagine like a lotto, where the revenue going to pool prize while some % will be used to burn $JTVO. SOL payments are already integrated but full functionality will go live tomorrow. Secure your $JTVO supply—the flywheel has been initiated!

Unleash your creativity Live now at For now, each user gets 5 free credits for early access. We’re also will launch a jackpot/ticket pool for a prompt competition—the best image outputs will be scored by our agent. Imagine like a lotto, where the revenue going to pool prize while some % will be used to burn $JTVO. SOL payments are already integrated but full functionality will go live tomorrow. Secure your $JTVO supply—the flywheel has been initiated!

Jatevo

20,335 次观看 • 11 个月前

🚨In Key West, an ICE/Border Patrol agent threatened to PULL A U.S. CITIZEN OUT OF THE CAR because he cursed at an agent… then had the audacity to tell the U.S. citizen to “learn your laws.” So, let’s learn them. In the video, Border Patrol agents pulled over a car of U.S. citizens and demanded everyone hand over their IDs. When the passenger says, “Bitch, fuck you,” an agent asks what he said and then threatens to pull him out of the vehicle if he “says one more thing like that.” The passenger correctly asks: “For what? That’s freedom of speech.” The agent responds: “That’s not how that works. Learn your laws.” Oh, we’re going to… Cursing at a government agent is not, by itself, a crime. The First Amendment protects a significant amount of verbal criticism, insults, and profanity directed at law enforcement, as long as it is not a physical threat. The government cannot punish people simply for verbally challenging or criticizing law enforcement. And it gets even worse. After the passenger calls the agent a “fucking white cracker,” the agent asks what he called him… and then tells another agent he is “thinking of calling in and arresting this guy.” For what? Because he hurt your feelings? The government does not get to arrest someone for speech they don’t like. And yes, Border Patrol has special authority near the border. That includes operating immigration checkpoints where agents can briefly stop vehicles, without individualized reasonable suspicion, for immigration questioning. But, that is different from a roving patrol stop. When not operating at a checkpoint, Border Patrol needs reasonable suspicion to pull over a vehicle for immigration questioning. And even at a checkpoint, the agents’ authority is not unlimited. A checkpoint stop does not automatically give them the right to search the vehicle, indefinitely detain people, or arrest someone because they said something an agent didn’t like. The Constitution does not say… “You have freedom of speech, unless a federal agent gets offended.” It says the government cannot punish you for exercising that right. And perhaps the most important part of this entire video is… The passenger knew his rights better than the federal agent threatening him. The agent told the U.S. citizen to learn his laws… But maybe the agent should have learned them first.

🚨In Key West, an ICE/Border Patrol agent threatened to PULL A U.S. CITIZEN OUT OF THE CAR because he cursed at an agent… then had the audacity to tell the U.S. citizen to “learn your laws.” So, let’s learn them. In the video, Border Patrol agents pulled over a car of U.S. citizens and demanded everyone hand over their IDs. When the passenger says, “Bitch, fuck you,” an agent asks what he said and then threatens to pull him out of the vehicle if he “says one more thing like that.” The passenger correctly asks: “For what? That’s freedom of speech.” The agent responds: “That’s not how that works. Learn your laws.” Oh, we’re going to… Cursing at a government agent is not, by itself, a crime. The First Amendment protects a significant amount of verbal criticism, insults, and profanity directed at law enforcement, as long as it is not a physical threat. The government cannot punish people simply for verbally challenging or criticizing law enforcement. And it gets even worse. After the passenger calls the agent a “fucking white cracker,” the agent asks what he called him… and then tells another agent he is “thinking of calling in and arresting this guy.” For what? Because he hurt your feelings? The government does not get to arrest someone for speech they don’t like. And yes, Border Patrol has special authority near the border. That includes operating immigration checkpoints where agents can briefly stop vehicles, without individualized reasonable suspicion, for immigration questioning. But, that is different from a roving patrol stop. When not operating at a checkpoint, Border Patrol needs reasonable suspicion to pull over a vehicle for immigration questioning. And even at a checkpoint, the agents’ authority is not unlimited. A checkpoint stop does not automatically give them the right to search the vehicle, indefinitely detain people, or arrest someone because they said something an agent didn’t like. The Constitution does not say… “You have freedom of speech, unless a federal agent gets offended.” It says the government cannot punish you for exercising that right. And perhaps the most important part of this entire video is… The passenger knew his rights better than the federal agent threatening him. The agent told the U.S. citizen to learn his laws… But maybe the agent should have learned them first.

Jesus Freakin Congress

291,675 次观看 • 1 天前

🚨BREAKING: A new video shows DHS lied, again, about an ICE shooting. Yesterday, ICE reportedly told police that a man “weaponized” his vehicle by “ramming” into an ICE sedan, forcing an agent to fire his gun during an operation in Harrisburg, Pennsylvania. Except… that’s not what the video shows. In the video, an ICE agent rushes the driver’s window with his gun drawn. The agent recklessly waves his gun around, and appears to order the driver to roll down the window. That’s an extreme use of force from the very beginning. Another agent approaches the car, and moments later, they violently smash the driver’s window. And notice how the driver doesn’t try to flee until ICE violently escalates everything. He drives around the ICE vehicle, makes it into the street… not hitting a single ICE agent, or vehicle. Then, AFTER the car is already past every agent, and driving away, an ICE agent opens fire. The law is pretty clear… officers may only use deadly force, against a fleeing person, if they have probable cause to believe that person poses an immediate threat of death, or serious physical injury to the officer, or others. So, where was the immediate threat? The car had already passed the agents… and was driving AWAY. ICE also claimed Lara-Hernandez had a criminal history of assault, and that this was a targeted enforcement operation. Yet, publicly available court records reportedly do not show any active warrants. Federal agents don’t get to point guns at people without legal justification. They don’t get to fire at a vehicle after the immediate threat has passed. And they don’t get to lie to police about what happened. So, when are we going to start holding these agents accountable?

🚨BREAKING: A new video shows DHS lied, again, about an ICE shooting. Yesterday, ICE reportedly told police that a man “weaponized” his vehicle by “ramming” into an ICE sedan, forcing an agent to fire his gun during an operation in Harrisburg, Pennsylvania. Except… that’s not what the video shows. In the video, an ICE agent rushes the driver’s window with his gun drawn. The agent recklessly waves his gun around, and appears to order the driver to roll down the window. That’s an extreme use of force from the very beginning. Another agent approaches the car, and moments later, they violently smash the driver’s window. And notice how the driver doesn’t try to flee until ICE violently escalates everything. He drives around the ICE vehicle, makes it into the street… not hitting a single ICE agent, or vehicle. Then, AFTER the car is already past every agent, and driving away, an ICE agent opens fire. The law is pretty clear… officers may only use deadly force, against a fleeing person, if they have probable cause to believe that person poses an immediate threat of death, or serious physical injury to the officer, or others. So, where was the immediate threat? The car had already passed the agents… and was driving AWAY. ICE also claimed Lara-Hernandez had a criminal history of assault, and that this was a targeted enforcement operation. Yet, publicly available court records reportedly do not show any active warrants. Federal agents don’t get to point guns at people without legal justification. They don’t get to fire at a vehicle after the immediate threat has passed. And they don’t get to lie to police about what happened. So, when are we going to start holding these agents accountable?

Jesus Freakin Congress

681,142 次观看 • 1 个月前

Congratulations to Emily See on amazing job conducting the maiden YouTube interview of our favorite “agent of change” running for Norfolk County District Attorney Adam Deitch for District Attorney I’d love A.D to specifically expound on these points in a non-sponsored Zabars Coffee segment on my channel. It would be appropriately titled: “SHADY with A.D” 😂 Please consider donating to his campaign for an accountable future in the NCDAO 🙏

Congratulations to Emily See on amazing job conducting the maiden YouTube interview of our favorite “agent of change” running for Norfolk County District Attorney Adam Deitch for District Attorney I’d love A.D to specifically expound on these points in a non-sponsored Zabars Coffee segment on my channel. It would be appropriately titled: “SHADY with A.D” 😂 Please consider donating to his campaign for an accountable future in the NCDAO 🙏

Nurse_Kim

14,921 次观看 • 2 个月前

Nizam used to work in Housing as a civil servant. He made a request to Akram Kamaludeen to increase his points. But Akram said that cannot be done. Now this Nizam is State Minister. Please call Nizam on 9644998 and ask why he's doing this to you all. Ask him why he's removing your names from the list and adding PNC people's names. Now people can't even see their scores on portal.

Nizam used to work in Housing as a civil servant. He made a request to Akram Kamaludeen to increase his points. But Akram said that cannot be done. Now this Nizam is State Minister. Please call Nizam on 9644998 and ask why he's doing this to you all. Ask him why he's removing your names from the list and adding PNC people's names. Now people can't even see their scores on portal.

Hassan Kurusee

52,029 次观看 • 1 年前

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

131,850 次观看 • 1 年前

🚨 Make Gaming Great Again (MGGA) 🚨 Meet Cookie White, President of the Ultimate Gaming Championship (UGC). His mission? To end tap-to-earn games and bring skill-based gaming back. 🎯 In 1 year, Cookie plans to create a $66M prize pool for the first-ever AI Agents competition. The top Agents will compete, earn, and make history—surpassing the 2024 Esports World Cup prize pool. 🏆 Want in? Drop a comment for early access to create your AI Agent and join the competition. Start earning 24/7!

🚨 Make Gaming Great Again (MGGA) 🚨 Meet Cookie White, President of the Ultimate Gaming Championship (UGC). His mission? To end tap-to-earn games and bring skill-based gaming back. 🎯 In 1 year, Cookie plans to create a $66M prize pool for the first-ever AI Agents competition. The top Agents will compete, earn, and make history—surpassing the 2024 Esports World Cup prize pool. 🏆 Want in? Drop a comment for early access to create your AI Agent and join the competition. Start earning 24/7!

Yum Party 🍭

20,485 次观看 • 1 年前

🚨BREAKING: An ICE agent was filmed sitting on top of a man and repeatedly punching him in the head during an arrest in Plainfield, New Jersey. In the video, three ICE agents are already on top of the man. One agent is holding his legs, another is sitting on him, and a third is restraining his arms and putting him in handcuffs. Then, the agent sitting on him starts punching him directly in the head. The man has one hand handcuffed and is using his other hand to try to shield his head from the punches. The person filming yells, “Hey!” The agent looks directly at them… And then seconds later punches the man in the head AGAIN. ICE agents do NOT get unlimited permission to beat someone just because they are arresting them. The Fourth Amendment protects people from unreasonable force during an arrest. That means ICE agents cannot just use whatever amount of force they want because they are making an arrest. ICE’s own detention standards say force is supposed to be limited to what is necessary to gain control, and explicitly state that physical force or restraints are not to be used as punishment. Looking at the video it appears the agents have control of the man… The man was already partially handcuffed and was using his free hand to try to protect his head from being punched. So why is an agent repeatedly punching him in the head? This is another agent that needs to be investigated… Because being arrested does not mean you lose your right to be free from excessive force.

🚨BREAKING: An ICE agent was filmed sitting on top of a man and repeatedly punching him in the head during an arrest in Plainfield, New Jersey. In the video, three ICE agents are already on top of the man. One agent is holding his legs, another is sitting on him, and a third is restraining his arms and putting him in handcuffs. Then, the agent sitting on him starts punching him directly in the head. The man has one hand handcuffed and is using his other hand to try to shield his head from the punches. The person filming yells, “Hey!” The agent looks directly at them… And then seconds later punches the man in the head AGAIN. ICE agents do NOT get unlimited permission to beat someone just because they are arresting them. The Fourth Amendment protects people from unreasonable force during an arrest. That means ICE agents cannot just use whatever amount of force they want because they are making an arrest. ICE’s own detention standards say force is supposed to be limited to what is necessary to gain control, and explicitly state that physical force or restraints are not to be used as punishment. Looking at the video it appears the agents have control of the man… The man was already partially handcuffed and was using his free hand to try to protect his head from being punched. So why is an agent repeatedly punching him in the head? This is another agent that needs to be investigated… Because being arrested does not mean you lose your right to be free from excessive force.

Jesus Freakin Congress

77,695 次观看 • 5 天前

Weibo : 派丽蒙眼镜 🔗 : #XuningWithParim #TianXuning #田栩宁 Beep... Encrypted line connected. A "Secret Communication" request from Agent "T" @田栩宁_ has been received. Please process immediately. Intelligence shows that he seems to have locked onto your heart's coordinates using his new equipment, "PARIM Eyewear," and has important information to deliver in person... What is your response? ▶️ Click the video, send your signal #PARIMBrandSpokespersonTianXuning

Weibo : 派丽蒙眼镜 🔗 : #XuningWithParim #TianXuning #田栩宁 Beep... Encrypted line connected. A "Secret Communication" request from Agent "T" @田栩宁_ has been received. Please process immediately. Intelligence shows that he seems to have locked onto your heart's coordinates using his new equipment, "PARIM Eyewear," and has important information to deliver in person... What is your response? ▶️ Click the video, send your signal #PARIMBrandSpokespersonTianXuning

iampkz

28,032 次观看 • 9 个月前