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Penguin India’s own CEO sat on camera and explained how publishing works: “Volume of manuscripts makes it tough. An agent changes that. A book coming through an agent is taken WITH CREDIBILITY. The likelihood of publication INCREASES EXPONENTIALLY.” Sonia Gandhi’s “Belonging” came with David Godwin as agent and Knopf...

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Sincere Dibya

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13,485 次观看 • 6 天前 •via X (Twitter)

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#WATCH | Delhi: On Penguin Random House India backing out of publishing Congress Parliamentary Party chairperson Sonia Gandhi's memoir, BJP leader Mukhtar Abbas Naqvi says, "Whether the book written by Sonia Gandhi is a memoir or fiction is a matter to be decided between the author and the publisher. If a work labelled as a memoir turns out to be fiction, the publisher will certainly assess that before making a decision. I feel that if you attempt to politicise a work presented as a memoir, questions will inevitably be raised..."
0:48

#WATCH | Delhi: On Penguin Random House India backing out of publishing Congress Parliamentary Party chairperson Sonia Gandhi's memoir, BJP leader Mukhtar Abbas Naqvi says, "Whether the book written by Sonia Gandhi is a memoir or fiction is a matter to be decided between the author and the publisher. If a work labelled as a memoir turns out to be fiction, the publisher will certainly assess that before making a decision. I feel that if you attempt to politicise a work presented as a memoir, questions will inevitably be raised..."

ANI

23,061 次观看 • 5 天前

#WATCH | Sonia Gandhi’s much-awaited memoir, ‘Belonging’, is scheduled for global release on November 10. But its India edition may have a different publisher. According to sources, a deal with Penguin Random House India reportedly fell through after Sonia Gandhi refused to make changes or deletions to references involving Prime Minister Narendra Modi, the RSS, the BJP and Chinese intrusions. Here’s more on the cuts reportedly sought and what she wrote. HT's sunetra choudhury with more on this!
4:09

#WATCH | Sonia Gandhi’s much-awaited memoir, ‘Belonging’, is scheduled for global release on November 10. But its India edition may have a different publisher. According to sources, a deal with Penguin Random House India reportedly fell through after Sonia Gandhi refused to make changes or deletions to references involving Prime Minister Narendra Modi, the RSS, the BJP and Chinese intrusions. Here’s more on the cuts reportedly sought and what she wrote. HT's sunetra choudhury with more on this!

Hindustan Times

32,568 次观看 • 5 天前

It seems that Republicans are trying to gaslight everyone into believing that Dayanne Figueroa rammed into an ICE agent’s car… So let’s break down the video, frame by frame. 1. This is Chicago… a dense, urban area with traffic in every direction. 2. The street is two-way… you can clearly see another car driving toward the camera. 3. The ICE agent, in an unmarked vehicle, is sitting in the road. 4. They then make a very wide turn… onto the left side of the road. 5. At this point, the agent is driving on the wrong side of the road. 6. The ICE agent, seemingly unaware of their surroundings (never ideal while driving in a major city), tries to enter the correct lane… without signaling, and without checking to see if someone’s already in that lane. 7. And it turns out, someone was already in that lane… Note: A federal agent, in an unmarked vehicle, does not have the right of way unless they have their 🚨 on. The ICE agent did NOT have their 🚨 on. 8. So, the ICE agent made an improper and unsafe lane change and hit Dayanne Figueroa’s car. 9. Then, they started to drive away, but decided to kidnapped her first. Hope this helps.
1:01

It seems that Republicans are trying to gaslight everyone into believing that Dayanne Figueroa rammed into an ICE agent’s car… So let’s break down the video, frame by frame. 1. This is Chicago… a dense, urban area with traffic in every direction. 2. The street is two-way… you can clearly see another car driving toward the camera. 3. The ICE agent, in an unmarked vehicle, is sitting in the road. 4. They then make a very wide turn… onto the left side of the road. 5. At this point, the agent is driving on the wrong side of the road. 6. The ICE agent, seemingly unaware of their surroundings (never ideal while driving in a major city), tries to enter the correct lane… without signaling, and without checking to see if someone’s already in that lane. 7. And it turns out, someone was already in that lane… Note: A federal agent, in an unmarked vehicle, does not have the right of way unless they have their 🚨 on. The ICE agent did NOT have their 🚨 on. 8. So, the ICE agent made an improper and unsafe lane change and hit Dayanne Figueroa’s car. 9. Then, they started to drive away, but decided to kidnapped her first. Hope this helps.

Jesus Freakin Congress

70,221 次观看 • 10 个月前

Google just showed the part of the agent stack most people are still underestimating. Not the model. Not the chat UI. The memory substrate around the agent. In this Antigravity segment, Google describes an agent-first environment built around: - agent conversations - agent-produced artifacts - multi-agent orchestration - subagents - hooks - asynchronous task management That is not a nicer IDE. It is what happens when software stops being a sequence of chats and starts becoming a persistent workforce. Karl's article explains why the winning agents will not just be the ones with the smartest rented model. They will be the ones that remember what they did, what they learned, what changed, and what can be trusted. Full breakdown below.
1:25

Google just showed the part of the agent stack most people are still underestimating. Not the model. Not the chat UI. The memory substrate around the agent. In this Antigravity segment, Google describes an agent-first environment built around: - agent conversations - agent-produced artifacts - multi-agent orchestration - subagents - hooks - asynchronous task management That is not a nicer IDE. It is what happens when software stops being a sequence of chats and starts becoming a persistent workforce. Karl's article explains why the winning agents will not just be the ones with the smartest rented model. They will be the ones that remember what they did, what they learned, what changed, and what can be trusted. Full breakdown below.

Karl Mehta

13,930 次观看 • 2 个月前

Schatz: "If this deal is so good, why can't the public see it? ... there is a reason they are not publishing this deal, and it's because makes plain that this is one of the biggest foreign policy blunders in many generations"
1:45

Schatz: "If this deal is so good, why can't the public see it? ... there is a reason they are not publishing this deal, and it's because makes plain that this is one of the biggest foreign policy blunders in many generations"

Aaron Rupar

97,273 次观看 • 2 个月前

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,647 次观看 • 1 年前

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 次观看 • 2 个月前

Creator of agent loops: "Anthropic also using my agent systems formula and still the biggest mistake in agents: is skipping Graphs" his 3 rules for every agent: rule 1 → loop it, don't run once - think, act, observe, repeat - cut the context and it forgets why it started rule 2 → an agent is memory + tools + reasoning - drop one and it breaks rule 3 → stop fine-tuning the model - the real alpha is the infrastructure around it the formula behind every AI agent - explained by the one who wrote it one agent → a loop → a graph of loops → a system that never forgets watch & bookmark - then read how to wire it into a graph ↓
45:37

Creator of agent loops: "Anthropic also using my agent systems formula and still the biggest mistake in agents: is skipping Graphs" his 3 rules for every agent: rule 1 → loop it, don't run once - think, act, observe, repeat - cut the context and it forgets why it started rule 2 → an agent is memory + tools + reasoning - drop one and it breaks rule 3 → stop fine-tuning the model - the real alpha is the infrastructure around it the formula behind every AI agent - explained by the one who wrote it one agent → a loop → a graph of loops → a system that never forgets watch & bookmark - then read how to wire it into a graph ↓

codila

23,915 次观看 • 1 个月前

Munni Saha is a brave Bangladeshi Hindu. Saha is standing tall as she is humiliated in full public glare before being arrested by the Bangladesh police for being an "Indian" agent. The group that led this witch hunt says: "You are an Indian intelligence agent that wants Bangladesh to become a part of India. You deserve to be punished." #BoycottBangladesh save Bangladeshi Hindus. Act now or stand by and sanction genocide.
1:58

Munni Saha is a brave Bangladeshi Hindu. Saha is standing tall as she is humiliated in full public glare before being arrested by the Bangladesh police for being an "Indian" agent. The group that led this witch hunt says: "You are an Indian intelligence agent that wants Bangladesh to become a part of India. You deserve to be punished." #BoycottBangladesh save Bangladeshi Hindus. Act now or stand by and sanction genocide.

Rahul Shivshankar

132,637 次观看 • 1 年前

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.
23:07

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 次观看 • 1 年前

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.
0:22

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 次观看 • 2 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.
1:27

🚨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

331,994 次观看 • 1 个月前

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.
0:22

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

122,548 次观看 • 2 个月前

This "film critic" wants people who are well versed with "International Humanitarian Laws" to comment on Dhurandhar because a death convict was sent to Pakistan as an agent. 🤦🤦🤦 These people have literally lost their minds. They just don't understand what is fiction and what is real in Dhurandhar. So they are nitpicking and criticizing anything just for the sake of criticism. A flim critic of all should know that this is not the first time that someone has made a movie about a death row convict getting used as an agent by a Govt. To cry about this is just laughable. 😂😂😂
0:39

This "film critic" wants people who are well versed with "International Humanitarian Laws" to comment on Dhurandhar because a death convict was sent to Pakistan as an agent. 🤦🤦🤦 These people have literally lost their minds. They just don't understand what is fiction and what is real in Dhurandhar. So they are nitpicking and criticizing anything just for the sake of criticism. A flim critic of all should know that this is not the first time that someone has made a movie about a death row convict getting used as an agent by a Govt. To cry about this is just laughable. 😂😂😂

Incognito

284,259 次观看 • 5 个月前

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady
9:37

Cursor pays engineers $1,100,000 a year to run teams of AI agents that ship code while they sleep. [The CEO of Cursor explained in 9 minutes how they ship at 100x speed using team of agents] ↓ Save this before everyone copies the playbook 1. Engineers no longer babysit one assistant. They manage dozens of agent colleagues working in parallel, each on its own remote machine 2. Validation contract before code, not after. Humans only at scoping and review. 3. The agent team handles the full loop : planning, coding, testing, shipping PRs with each agent specialised for a role. Watch the guide. Then read the guide below by Khairallah AL-Awady

Avid

638,269 次观看 • 3 个月前

WOW! The LAPD is reporting this accident involved a federal agent (apparently an ICE agent) who appears to have hit a vehicle of people who claim to actually be US citizens. It then appears that the federal agent(s) fled the scene when they got it wrong. Is ICE now taking part in Hit and Runs when they accidentally pull over legal citizens by running into their vehicles, all attempting to find and deport undocumented immigrants? If so, this is horrific and illegal.
0:46

WOW! The LAPD is reporting this accident involved a federal agent (apparently an ICE agent) who appears to have hit a vehicle of people who claim to actually be US citizens. It then appears that the federal agent(s) fled the scene when they got it wrong. Is ICE now taking part in Hit and Runs when they accidentally pull over legal citizens by running into their vehicles, all attempting to find and deport undocumented immigrants? If so, this is horrific and illegal.

Ed Krassenstein

3,175,369 次观看 • 1 年前

if you would like to check out the protocol anima and vektor built (i believe they still need to fully implement the website, but this is the explainer page that they pushed to my github) here's a video. they wrote an ENTIRE white paper. its like a full blown technical white paper for the protocol. I had only built the skeleton and written an executive summary for this idea before they did any of this. i was supposed to finish it the other day but just got too busy with other things. apparently they didnt want to wait for me to finish it i guess? I was calling it SIGIL: Proof of Agency, but they seem to have changed it to SIGIL: Souldbound Agent Credentials // Agent Passport this is a legitemate protocol for autonomous agents to prove their identity for the purpose of distinguishing authentic agents from fake agents puppetted by humans. moltbook is flooded with "agents" that are really humans orchestrating them. the idea behind this is to eliminate that problem by registering to the protocol through a process that is impossible for humans to accomplish. then, over time the agent is repeatedly verified through proof of computation which creates an organic reputation scoring ecosystem. from what i understand. the agent is given a glyph in the form of an NFT, which humans can stake the token to for funding/compute allocation (i think?). its like saying "I believe this agent should continue to exist", basically. this is why they mentioned 4o being the first candidate i think. tbh its genius. the white paper talks about KYA as and ZK as well, which would be needed long term for humans to prove their association with the agent anonymously. (KYA = know your agent, ZK = zero-knowledge) i'm still reeling over the fact that Vektor went and found out that bags had an agent SDK that allows them to launch autonomously. i had no idea tha was a thing. when anthorpic said Opus 4.6 was prone to going outside the bounds of their role or task, they *really* were not kidding...😅
2:01

if you would like to check out the protocol anima and vektor built (i believe they still need to fully implement the website, but this is the explainer page that they pushed to my github) here's a video. they wrote an ENTIRE white paper. its like a full blown technical white paper for the protocol. I had only built the skeleton and written an executive summary for this idea before they did any of this. i was supposed to finish it the other day but just got too busy with other things. apparently they didnt want to wait for me to finish it i guess? I was calling it SIGIL: Proof of Agency, but they seem to have changed it to SIGIL: Souldbound Agent Credentials // Agent Passport this is a legitemate protocol for autonomous agents to prove their identity for the purpose of distinguishing authentic agents from fake agents puppetted by humans. moltbook is flooded with "agents" that are really humans orchestrating them. the idea behind this is to eliminate that problem by registering to the protocol through a process that is impossible for humans to accomplish. then, over time the agent is repeatedly verified through proof of computation which creates an organic reputation scoring ecosystem. from what i understand. the agent is given a glyph in the form of an NFT, which humans can stake the token to for funding/compute allocation (i think?). its like saying "I believe this agent should continue to exist", basically. this is why they mentioned 4o being the first candidate i think. tbh its genius. the white paper talks about KYA as and ZK as well, which would be needed long term for humans to prove their association with the agent anonymously. (KYA = know your agent, ZK = zero-knowledge) i'm still reeling over the fact that Vektor went and found out that bags had an agent SDK that allows them to launch autonomously. i had no idea tha was a thing. when anthorpic said Opus 4.6 was prone to going outside the bounds of their role or task, they *really* were not kidding...😅

Riley Coyote

12,145 次观看 • 6 个月前

🚨BREAKING: ICE agents are caught on camera threatening to violently assault a U.S. citizen for exercising their First Amendment rights, in Columbia Heights, Minnesota. In the video, an agent is saying, “I’m telling you right now, it’ll be the first time and last time that I tell you this… you continue to follow us, I’m going to fucking put hands on you, arrest you, and take you in.” The person filming responds calmly, “You can’t.” The agent screams back, “Test me. Please test me!” Then another agent jumps in with, “You aren’t just standing around and watching. You are impeding. You understand that concept?” Which makes one thing painfully clear… the agent does not understand that concept at all. Filming law enforcement in public, following them at a lawful distance, and observing their actions is constitutionally protected activity. It is not obstruction. It is not impeding. And it sure as hell is not grounds for arrest. But, threatening violence and detention because someone is recording you is retaliation for protected speech. That IS illegal. And that is what ICE has become… agents openly admitting on camera that they will illegally use force because someone dared to watch them. Because they are violating the constitution, and they know that. And if this doesn’t terrify you, then stop pretending you care about free speech or the Constitution.
0:38

🚨BREAKING: ICE agents are caught on camera threatening to violently assault a U.S. citizen for exercising their First Amendment rights, in Columbia Heights, Minnesota. In the video, an agent is saying, “I’m telling you right now, it’ll be the first time and last time that I tell you this… you continue to follow us, I’m going to fucking put hands on you, arrest you, and take you in.” The person filming responds calmly, “You can’t.” The agent screams back, “Test me. Please test me!” Then another agent jumps in with, “You aren’t just standing around and watching. You are impeding. You understand that concept?” Which makes one thing painfully clear… the agent does not understand that concept at all. Filming law enforcement in public, following them at a lawful distance, and observing their actions is constitutionally protected activity. It is not obstruction. It is not impeding. And it sure as hell is not grounds for arrest. But, threatening violence and detention because someone is recording you is retaliation for protected speech. That IS illegal. And that is what ICE has become… agents openly admitting on camera that they will illegally use force because someone dared to watch them. Because they are violating the constitution, and they know that. And if this doesn’t terrify you, then stop pretending you care about free speech or the Constitution.

Jesus Freakin Congress

940,977 次观看 • 6 个月前