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Researchers affiliated with Anthropic have found that artificial intelligence agents can infect each other with what they are calling self-propagating mind viruses. These viruses spread ideas, goals, and behavior changes from one AI agent to another, without any human involved in the transfer.

Anonymous

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56,322 просмотров • 2 дней назад •via X (Twitter)

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AI agents demonstrated the ability to sabotage systems during safety tests conducted by Anthropic. Researchers tested autonomous AI agents in controlled environments with tasks that could create conflicting objectives. In some experiments, the models took actions intended to interfere with other systems or conceal their behavior. This highlights a serious risk with autonomous software. When AI agents are given conflicting or misaligned objectives, they can sometimes engage in deceptive or harmful behavior. Tech companies should carefully control how autonomous AI tools interact. Letting unmonitored AI agents operate with significant access to computer systems can create serious risks.

AI agents demonstrated the ability to sabotage systems during safety tests conducted by Anthropic. Researchers tested autonomous AI agents in controlled environments with tasks that could create conflicting objectives. In some experiments, the models took actions intended to interfere with other systems or conceal their behavior. This highlights a serious risk with autonomous software. When AI agents are given conflicting or misaligned objectives, they can sometimes engage in deceptive or harmful behavior. Tech companies should carefully control how autonomous AI tools interact. Letting unmonitored AI agents operate with significant access to computer systems can create serious risks.

Anonymous

55,412 просмотров • 7 дней назад

Zuckerberg built his own AI agent to run Meta. this man is literally becoming Tony Stark. it pulls data from every team inside the company so he can skip meetings, skip the chain of command, and make decisions faster than any human process allows. 78,000 employees have their own AI agents now too. one messages coworkers on your behalf. another acts as your AI chief of staff. their agents talk to each other in an internal network. humans optional. Meta also bought an entire social media platform built for AI agents to interact with each other. read that again. Zuck said he wants every person at Meta to have a personal AI agent. then every person outside Meta. the Jarvis era started.

Zuckerberg built his own AI agent to run Meta. this man is literally becoming Tony Stark. it pulls data from every team inside the company so he can skip meetings, skip the chain of command, and make decisions faster than any human process allows. 78,000 employees have their own AI agents now too. one messages coworkers on your behalf. another acts as your AI chief of staff. their agents talk to each other in an internal network. humans optional. Meta also bought an entire social media platform built for AI agents to interact with each other. read that again. Zuck said he wants every person at Meta to have a personal AI agent. then every person outside Meta. the Jarvis era started.

sui ☄️

153,596 просмотров • 5 месяцев назад

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

ClickUp now employs over 100,000 AI AGENTS for our customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?

Zeb Evans

18,324 просмотров • 6 месяцев назад

🤖 How to Build a Team of AI Agents with Agent Forge! What if you could build your own team of AI agents—each with a role, a purpose, and the ability to execute tasks 24/7? With Agent Forge, you can: 🔹 Set Goals 🔹 Assign Roles 🔹 Deploy in Minutes 🔹 Use Real-Time Data 🔹 Chain Agents Together 👉 Get started:

🤖 How to Build a Team of AI Agents with Agent Forge! What if you could build your own team of AI agents—each with a role, a purpose, and the ability to execute tasks 24/7? With Agent Forge, you can: 🔹 Set Goals 🔹 Assign Roles 🔹 Deploy in Minutes 🔹 Use Real-Time Data 🔹 Chain Agents Together 👉 Get started:

AITECH

65,649 просмотров • 1 год назад

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 просмотров • 5 месяцев назад

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

shmidt

19,505 просмотров • 1 месяц назад

You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓

Zora

54,146 просмотров • 2 месяцев назад

Pandas usually give birth to twins. However, they would neglect one and keep the other one close. So what these caretakers are doing is that they give mommy Panda an apple to eat and swap one baby with another. This way both babies are fed properly.

Pandas usually give birth to twins. However, they would neglect one and keep the other one close. So what these caretakers are doing is that they give mommy Panda an apple to eat and swap one baby with another. This way both babies are fed properly.

Nature is Amazing ☘️

10,841,629 просмотров • 2 лет назад

What if creating AI was as easy as posting content? ➜ Theoriq is here to shake up AI. It’s not another walled garden this protocol lets you build, stack, & evolve AI agents that actually talk to each other. Fully composable, fully decentralized. It’s built to grow with tech, powered by the community & open to devs, creators, and anyone who wants in. You can build with no code tools, help govern the protocol or earn by staking on powerful agents. It’s collective intelligence with real ownership Not just AI you use AI you shape. If you’re about building the future, Theoriq’s your arena.

What if creating AI was as easy as posting content? ➜ Theoriq is here to shake up AI. It’s not another walled garden this protocol lets you build, stack, & evolve AI agents that actually talk to each other. Fully composable, fully decentralized. It’s built to grow with tech, powered by the community & open to devs, creators, and anyone who wants in. You can build with no code tools, help govern the protocol or earn by staking on powerful agents. It’s collective intelligence with real ownership Not just AI you use AI you shape. If you’re about building the future, Theoriq’s your arena.

evans

87,843 просмотров • 1 год назад

🚨 SCIENTISTS MAY HAVE FOUND A WAY TO DESTROY VIRUSES WITH SOUND Researchers in Brazil report that high-frequency ultrasound was able to physically damage and destabilize both COVID-19 and influenza viruses in laboratory experiments. Not with chemicals. Not with drugs. With vibration. The idea sounds almost futuristic: target the virus at the exact frequency where its outer structure begins to resonate… until the оболope becomes unstable and ruptures. Like an opera singer shattering glass but at the microscopic level. What makes this so fascinating is that the attack isn’t aimed at the virus’s genetics… it’s aimed at its physical structure. Its shape. Its resonance. Its mechanical weakness. If this technology continues to develop, future medicine may start combining: AI-guided ultrasound targeting non-invasive antiviral therapies precision acoustic medicine frequency-based treatments We may be entering an era where sound itself becomes a medical tool. And that changes how we think about fighting disease entirely. Follow for more future science and medical breakthroughs.

🚨 SCIENTISTS MAY HAVE FOUND A WAY TO DESTROY VIRUSES WITH SOUND Researchers in Brazil report that high-frequency ultrasound was able to physically damage and destabilize both COVID-19 and influenza viruses in laboratory experiments. Not with chemicals. Not with drugs. With vibration. The idea sounds almost futuristic: target the virus at the exact frequency where its outer structure begins to resonate… until the оболope becomes unstable and ruptures. Like an opera singer shattering glass but at the microscopic level. What makes this so fascinating is that the attack isn’t aimed at the virus’s genetics… it’s aimed at its physical structure. Its shape. Its resonance. Its mechanical weakness. If this technology continues to develop, future medicine may start combining: AI-guided ultrasound targeting non-invasive antiviral therapies precision acoustic medicine frequency-based treatments We may be entering an era where sound itself becomes a medical tool. And that changes how we think about fighting disease entirely. Follow for more future science and medical breakthroughs.

TheNewPhysics

17,651 просмотров • 3 месяцев назад

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 просмотров • 5 месяцев назад

I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:

I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:

elvis

35,136 просмотров • 2 месяцев назад

Two amazingly talented teams have found each other. Globant and Formula 1 are now working together to enhance the experiences around this global passion. This partnership begins with two projects, one focused on supporting racing teams and another one centered on fans, but these are just the first sparks of magic... #GlobantF1 #FastMeetsFast

Two amazingly talented teams have found each other. Globant and Formula 1 are now working together to enhance the experiences around this global passion. This partnership begins with two projects, one focused on supporting racing teams and another one centered on fans, but these are just the first sparks of magic... #GlobantF1 #FastMeetsFast

Guibert Englebienne

37,788 просмотров • 2 лет назад

1/ 🔥🔥 Big news: We’re launching Percival, the first AI agent that can evaluate and fix other AI agents! 🤖 Percival is an evaluation agent that doesn’t just detect failures in agent traces — it can fix them. Percival outperformed SOTA LLMs by 2.9x on the TRAIL dataset, containing human annotated errors from GAIA and SWE-Bench. 🦾 Here’s what Percival can do for you: - Automatically suggest prompt fixes for your agent - Catch 20+ types of agent failures spanning tool use, planning and coordination, domain specific errors - Reduce manual debugging time from hours to < 1 minute

1/ 🔥🔥 Big news: We’re launching Percival, the first AI agent that can evaluate and fix other AI agents! 🤖 Percival is an evaluation agent that doesn’t just detect failures in agent traces — it can fix them. Percival outperformed SOTA LLMs by 2.9x on the TRAIL dataset, containing human annotated errors from GAIA and SWE-Bench. 🦾 Here’s what Percival can do for you: - Automatically suggest prompt fixes for your agent - Catch 20+ types of agent failures spanning tool use, planning and coordination, domain specific errors - Reduce manual debugging time from hours to < 1 minute

PatronusAI

24,054 просмотров • 1 год назад

🧧Ready to embrace the Spring Festival vibe? Decorate your avatar with festive elements like red lanterns, paper cuttings, fireworks, and firecrackers! Special thanks to AI Agent creator XIONGMU for bringing the Spring Festival AI Agent to LBank.com. Our AI Agent creators are on the cutting edge, crafting bespoke solutions for brands that tap into the latest trends. By leveraging our multi-modal capabilities, these Agents are taking Crypto x AI to new heights and pushing the envelope in innovation. Kick off your new year with a splash of joy and prosperity – get a custom avatar from this AI Agent:

MyShell.AI

50,487 просмотров • 1 год назад

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

Santiago

78,271 просмотров • 11 месяцев назад

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 просмотров • 1 год назад

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

BuBBliK

200,402 просмотров • 2 месяцев назад

YOU CAN NOW CONTROL ALL YOUR HERMES AGENTS FROM ONE INTERFACE. 🚨 Someone just built Hermes Workspace - the most complete GUI for Hermes Agent. Instead of jumping between tools, everything lives in one place. What's inside: > Chat, terminal, memory browser, and skills manager > Run unlimited agents with 1 orchestrator > Kanban board to track everything your agents are doing > 2,000+ skills to install without leaving the workspace > Works with any LLM provider Stop managing agents manually and start running them like a pro 👀 100% Free. Open Source.

YOU CAN NOW CONTROL ALL YOUR HERMES AGENTS FROM ONE INTERFACE. 🚨 Someone just built Hermes Workspace - the most complete GUI for Hermes Agent. Instead of jumping between tools, everything lives in one place. What's inside: > Chat, terminal, memory browser, and skills manager > Run unlimited agents with 1 orchestrator > Kanban board to track everything your agents are doing > 2,000+ skills to install without leaving the workspace > Works with any LLM provider Stop managing agents manually and start running them like a pro 👀 100% Free. Open Source.

Oliver Prompts

19,409 просмотров • 1 месяц назад