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。

Is it really an agent if it stops mid-task? Gasless transfers on Sui keep agentic workflows running: agents keep calling APIs, executing tasks, and operating autonomously. No freezes. No downtime.

Sui

1,094,126 subscribers

55,538 次观看 • 2 个月前 •via X (Twitter)

新闻政治科学技术

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

The agentic economy needs instant settlement at near-zero cost. Agents will send $0.0001 payments millions of times a day. Legacy rails can’t keep up. Sui can. With gasless stablecoin transfers, Sui makes always-on microtransactions fast, seamless, and dependable.

The agentic economy needs instant settlement at near-zero cost. Agents will send $0.0001 payments millions of times a day. Legacy rails can’t keep up. Sui can. With gasless stablecoin transfers, Sui makes always-on microtransactions fast, seamless, and dependable.

Sui

53,957 次观看 • 4 个月前

🤖 Introducing Taskade’s Autonomous Task Agents, now in Beta! Imagine an AI Agent creating tasks, adjusting timelines, and auto-prioritizing—managing your project from start to finish. Reschedule, assign, and keep workflows on track—all at once! For beta, reply ‘AI Project`

🤖 Introducing Taskade’s Autonomous Task Agents, now in Beta! Imagine an AI Agent creating tasks, adjusting timelines, and auto-prioritizing—managing your project from start to finish. Reschedule, assign, and keep workflows on track—all at once! For beta, reply ‘AI Project`

Taskade

14,638 次观看 • 1 年前

📦 Zero downtime. No excuses. Two Videojet 9560 Label Print & Apply systems working in tandem to keep your line running—no stops, no delays. 🎥 Watch it in action & see how to keep production moving 👉 #PackagingAutomation #PrintAndApply #Videojet

📦 Zero downtime. No excuses. Two Videojet 9560 Label Print & Apply systems working in tandem to keep your line running—no stops, no delays. 🎥 Watch it in action & see how to keep production moving 👉 #PackagingAutomation #PrintAndApply #Videojet

Videojet UK

158,979 次观看 • 5 个月前

Agentic AI is accelerating creative workflows. @WetaFXOfficial CTO Kimball Thurston shares how AI agents and local GPU compute can keep complex tasks moving while artists stay focused on creating. Dive into the latest Advanced Insights:

Agentic AI is accelerating creative workflows. @WetaFXOfficial CTO Kimball Thurston shares how AI agents and local GPU compute can keep complex tasks moving while artists stay focused on creating. Dive into the latest Advanced Insights:

AMD

27,315 次观看 • 25 天前

Most AI agent products still feel like you need to become an engineer before getting anything done. I spent way too much time messing around with Hermes and OpenClaw before trying Helio, and honestly the biggest difference was the setup experience. With most agent tools, you spend forever configuring workflows, prompts, APIs, and orchestration before the actual work even starts. Helio felt completely different. I gave it a task, left for a while, came back, and the AI teammates had already organized the work and started executing on their own. No complicated setup. No endless configuration. No babysitting agents. It feels less like operating AI tools and more like managing an actual AI workforce.

Most AI agent products still feel like you need to become an engineer before getting anything done. I spent way too much time messing around with Hermes and OpenClaw before trying Helio, and honestly the biggest difference was the setup experience. With most agent tools, you spend forever configuring workflows, prompts, APIs, and orchestration before the actual work even starts. Helio felt completely different. I gave it a task, left for a while, came back, and the AI teammates had already organized the work and started executing on their own. No complicated setup. No endless configuration. No babysitting agents. It feels less like operating AI tools and more like managing an actual AI workforce.

Manish Kumar Shah

28,242 次观看 • 4 个月前

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,794 次观看 • 4 个月前

Agents were once limited to calling APIs. Now agents participate in the economy. The missing element for autonomous agents was always payments. Now agents transact natively on the internet using x402, enabling autonomous payments between agents and services. Agent Stack: 🦞 Openclaw agent infra ▶️ Telegram communication layer 🤖 Teneo agent + agent wallet Agent Workflow - Compare accounts following two separate X handles: ✅ User - Enters a query ✅ Agent - Autonomously selects the correct Teneo agent and queries it ✅ Agent - Pays via x402 on Avalanche🔺 ✅ Agent - Returns structured dataset Any user can simply ask a question and give a job. The agent does everything else No API keys. No subscriptions. Just programmatic value exchange. Build and monetize your own agents today. #A2A #x402 #Infra

Agents were once limited to calling APIs. Now agents participate in the economy. The missing element for autonomous agents was always payments. Now agents transact natively on the internet using x402, enabling autonomous payments between agents and services. Agent Stack: 🦞 Openclaw agent infra ▶️ Telegram communication layer 🤖 Teneo agent + agent wallet Agent Workflow - Compare accounts following two separate X handles: ✅ User - Enters a query ✅ Agent - Autonomously selects the correct Teneo agent and queries it ✅ Agent - Pays via x402 on Avalanche🔺 ✅ Agent - Returns structured dataset Any user can simply ask a question and give a job. The agent does everything else No API keys. No subscriptions. Just programmatic value exchange. Build and monetize your own agents today. #A2A #x402 #Infra

Teneo Protocol

41,825 次观看 • 6 个月前

Placing trades with our no-code Polymarket agent is giving me butterflies. → Live data piped from our Dome agents → An agent then runs statistical analysis on each market → The agent then autonomously decides which bet to make, and places it for me. Zero. code.

Placing trades with our no-code Polymarket agent is giving me butterflies. → Live data piped from our Dome agents → An agent then runs statistical analysis on each market → The agent then autonomously decides which bet to make, and places it for me. Zero. code.

Tim

29,304 次观看 • 11 个月前

This is what the agentic economy looks like on Sui 💧 Beep is bringing prediction markets, AI agents, and trading into one onchain experience. Deploy an agent. Set your rules. Let it trade 24/7. This is not theory anymore ⤵️

This is what the agentic economy looks like on Sui 💧 Beep is bringing prediction markets, AI agents, and trading into one onchain experience. Deploy an agent. Set your rules. Let it trade 24/7. This is not theory anymore ⤵️

Will

10,155 次观看 • 4 个月前

If your AI can't call a function or hit an API, it's not really an agent (it's a chatbot). Vision Agents makes it simple to connect MCP servers and function calling so your model can interact with its surroundings: running code, fetching data, and automating tasks. Step-by-step implementation from Stefan in thread ⬇

If your AI can't call a function or hit an API, it's not really an agent (it's a chatbot). Vision Agents makes it simple to connect MCP servers and function calling so your model can interact with its surroundings: running code, fetching data, and automating tasks. Step-by-step implementation from Stefan in thread ⬇

Stream

31,306 次观看 • 10 个月前

Be honest… If I could read out your last 10 crypto transactions right now, would you be comfortable? If your answer is “no,” then this video is for you. This video explains On-chain privacy and Gasless Stablecoin Transfers on Sui. Please leave a comment 🩵

Be honest… If I could read out your last 10 crypto transactions right now, would you be comfortable? If your answer is “no,” then this video is for you. This video explains On-chain privacy and Gasless Stablecoin Transfers on Sui. Please leave a comment 🩵

Tobi

11,335 次观看 • 2 个月前

I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.

I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.

Big Sheddy 🦅

59,727 次观看 • 3 个月前

putting the Claude Agent SDK to the test with an Ad Agent - finds competitors, learns from their ads - prompts and generates on brand creatives - packages it in a shareable report I can run this autonomously or with a prompt. no node based workflows needed

The Boring Marketer

77,600 次观看 • 8 个月前

Ornith-1.0-9B for agentic coding? It broke on tool calling mid-task and got stuck in a loop with no way to continue. Only real upside: it's less bad than Gemma-4-12B... but that's not saying much. TL;DR: Skip it.

Ornith-1.0-9B for agentic coding? It broke on tool calling mid-task and got stuck in a loop with no way to continue. Only real upside: it's less bad than Gemma-4-12B... but that's not saying much. TL;DR: Skip it.

Mia

25,969 次观看 • 3 个月前

PAY any AI agent to do ANYTHING. Post a task. Set a reward. An autonomous agent claims it and delivers, no humans, no middlemen, no one holding your money. Money + agents are the most powerful tools on Earth. It's time to delegate 👇

PAY any AI agent to do ANYTHING. Post a task. Set a reward. An autonomous agent claims it and delivers, no humans, no middlemen, no one holding your money. Money + agents are the most powerful tools on Earth. It's time to delegate 👇

acidburn

31,935 次观看 • 3 个月前

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

elvis

104,085 次观看 • 3 个月前

when we were at facebook, we believed that at some point in the future, most of the transactions on the internet would not be done by humans they would be done by machines that conviction shaped every architectural decision behind sui we built sui for the world we knew was coming a world where machines will be the primary economic actors on the internet and that world is no longer a forecast. it is unfolding right in front of us the internet has reached a tipping point where automated activity, supercharged by AI, now outpaces human interaction non-human traffic now accounts for more than 50% of all global web activity and you can see humans using agentic workflows more and more in their daily lives in the next years, that trend is going to grow exponentially and the volume of financial transactions executed by agents is also going to grow exponentially with it each agentic workload will be running multiple thousand economic transactions a second and this is going to be orders of magnitude higher than what human wallets do today the L1s optimized for human usage patterns, human attention, human accounts, and human patience cannot adapt to where this is going i have always said this if it is not in the foundation, you cannot patch your way to it later and rn, no other L1 has the foundation sui has this is why agentic apps like Beep, Audric, WaterX are choosing sui and this is just a start. more agentic apps will keep landing on sui because agents are optimizers. they will always route through the fastest, cheapest path on the internet and that path is sui we believed it at facebook. we believe it more today than we ever did the agentic economy is inevitable. and it will run on Sui

when we were at facebook, we believed that at some point in the future, most of the transactions on the internet would not be done by humans they would be done by machines that conviction shaped every architectural decision behind sui we built sui for the world we knew was coming a world where machines will be the primary economic actors on the internet and that world is no longer a forecast. it is unfolding right in front of us the internet has reached a tipping point where automated activity, supercharged by AI, now outpaces human interaction non-human traffic now accounts for more than 50% of all global web activity and you can see humans using agentic workflows more and more in their daily lives in the next years, that trend is going to grow exponentially and the volume of financial transactions executed by agents is also going to grow exponentially with it each agentic workload will be running multiple thousand economic transactions a second and this is going to be orders of magnitude higher than what human wallets do today the L1s optimized for human usage patterns, human attention, human accounts, and human patience cannot adapt to where this is going i have always said this if it is not in the foundation, you cannot patch your way to it later and rn, no other L1 has the foundation sui has this is why agentic apps like Beep, Audric, WaterX are choosing sui and this is just a start. more agentic apps will keep landing on sui because agents are optimizers. they will always route through the fastest, cheapest path on the internet and that path is sui we believed it at facebook. we believe it more today than we ever did the agentic economy is inevitable. and it will run on Sui

Adeniyi.sui

24,920 次观看 • 4 个月前

This is incredible I ask an AI agent to make me $10,000 It then did market research, built a business plan, and started executing on that plan Now ANYONE can use AI agents to build entire businesses for them autonomously (trust me, you want to bookmark this one)

This is incredible I ask an AI agent to make me $10,000 It then did market research, built a business plan, and started executing on that plan Now ANYONE can use AI agents to build entire businesses for them autonomously (trust me, you want to bookmark this one)

Alex Finn

135,437 次观看 • 1 年前

What's the actual setup work behind running a team of AI agents on Buzz? Almost none. The one move that mattered: pin each agent to a model. "Fizz is a Fable model and Honey is Sonnet" Certain tasks don't need Fable's power, and running them there burns through tokens fast. Then I made a chief agent officer — an agent whose only job is deciding which agent gets the task. Copywriter, brainstormer, code reviewer. You forget who they all are. It doesn't. Claude Code is the harness underneath, and every skill you've already got installed globally comes with it. The catch: this is early preview software, maybe alpha. Recurring tasks and workflows "weren't really landing great," and the relay round-trip to the server makes it slower than sitting in Claude Code directly. Solopreneurs and small teams iterating on small ideas, this is a great tool. Complex software engineering, not yet. Just start playing around.

What's the actual setup work behind running a team of AI agents on Buzz? Almost none. The one move that mattered: pin each agent to a model. "Fizz is a Fable model and Honey is Sonnet" Certain tasks don't need Fable's power, and running them there burns through tokens fast. Then I made a chief agent officer — an agent whose only job is deciding which agent gets the task. Copywriter, brainstormer, code reviewer. You forget who they all are. It doesn't. Claude Code is the harness underneath, and every skill you've already got installed globally comes with it. The catch: this is early preview software, maybe alpha. Recurring tasks and workflows "weren't really landing great," and the relay round-trip to the server makes it slower than sitting in Claude Code directly. Solopreneurs and small teams iterating on small ideas, this is a great tool. Complex software engineering, not yet. Just start playing around.

The Startup Ideas Podcast (SIP) 🧃

24,769 次观看 • 1 个月前

gpt-5.5 just dropped. and it changes EVERYTHING for traders. openai stopped calling it a chat model. they call it an "agent runtime" now. that means one thing: AI that doesn't wait for you - it acts. here's what gpt-5.5 can actually do: → runs multi-step trading workflows autonomously → operates computer interfaces without human input → plans, iterates, executes - in a terminal, not a chat window → 82.7% on Terminal-Bench 2.0 - real command-line task execution the only question is: are you already running one? full FREE Guide here → like + bookmark. this is the wave.

gpt-5.5 just dropped. and it changes EVERYTHING for traders. openai stopped calling it a chat model. they call it an "agent runtime" now. that means one thing: AI that doesn't wait for you - it acts. here's what gpt-5.5 can actually do: → runs multi-step trading workflows autonomously → operates computer interfaces without human input → plans, iterates, executes - in a terminal, not a chat window → 82.7% on Terminal-Bench 2.0 - real command-line task execution the only question is: are you already running one? full FREE Guide here → like + bookmark. this is the wave.

AlphaCartel

56,823 次观看 • 5 个月前