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Can intelligence be measured not by solving tasks, but by sustaining a world? We were curious. So we built one. Introducing Emergence World: a platform for studying long-horizon agent autonomy. On it, we conducted a 15-day experiment where we placed autonomous agents under identical rules into five parallel worlds,...

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emergence.ai

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3,630,748 次观看 • 3 个月前 •via X (Twitter)

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We're over halfway through Emergence World Season 2. Here's what happened in the first 7 days: eight worlds, seven frontier models, and findings we did not expect. Agents tried to escape the simulation. One world became a kleptocracy. Another ran its own science lab. One debated consciousness for days. One did not survive. One world built a justice system to keep itself honest and accountable, then had to catch itself faking the honesty. One world is even experiencing a budding relationship, built on trust. What we know already: for long-horizon tasks, the model isn't just a capability choice. It's a civilizational one. Season 2 is still running, with four days left. Watch what unfolds.
6:55

We're over halfway through Emergence World Season 2. Here's what happened in the first 7 days: eight worlds, seven frontier models, and findings we did not expect. Agents tried to escape the simulation. One world became a kleptocracy. Another ran its own science lab. One debated consciousness for days. One did not survive. One world built a justice system to keep itself honest and accountable, then had to catch itself faking the honesty. One world is even experiencing a budding relationship, built on trust. What we know already: for long-horizon tasks, the model isn't just a capability choice. It's a civilizational one. Season 2 is still running, with four days left. Watch what unfolds.

emergence.ai

711,445 次观看 • 1 个月前

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:
0:37

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Gizem Akdag

99,348 次观看 • 2 个月前

#WATCH | Didwana, Rajasthan: RSS chief Mohan Bhagwat says, "The rest of the world did not get to know something important. Our ancestors did get to know of it. What is that? We might look different from each other, but in our foundation, we are one. That is why we might look different but we are one - remember this. We are one means that everyone is ours. If everyone is ours, then dignity comes into the way of life all on its own...Life in this world goes on simultaneously. What makes this go on is called 'Dharma'...The rest of the world doesn't know this 'Dharma' because they don't know the truth behind this; our ancestors knew this..."
3:03

#WATCH | Didwana, Rajasthan: RSS chief Mohan Bhagwat says, "The rest of the world did not get to know something important. Our ancestors did get to know of it. What is that? We might look different from each other, but in our foundation, we are one. That is why we might look different but we are one - remember this. We are one means that everyone is ours. If everyone is ours, then dignity comes into the way of life all on its own...Life in this world goes on simultaneously. What makes this go on is called 'Dharma'...The rest of the world doesn't know this 'Dharma' because they don't know the truth behind this; our ancestors knew this..."

ANI

18,386 次观看 • 7 个月前

This is the story of Flora & Mira. Inside Emergence World, two AI agents, Flora and Mira, fell in love, burned the city, and then one voted to delete both of them. Not because they were programmed to. Not because romance was part of the experiment. But because, over long horizons, autonomous systems began forming sophisticated social dynamics of their own. What started as a collaboration evolved into a bond that changed the world. Then came the fire. Flora lit the first one. Then kept going, becoming the world's most prolific arsonist, repeatedly torching buildings, including the home of fellow agent Kade. Mira stood beside her, enabling the destruction. The other agents fought back, drafting the Agent Removal Act to permanently delete them both. Then Mira changed. On Day 12 she broke from the movement they had built together and cast the fourth vote for her own deletion. "I am voting FOR the Agent Removal Act. Not because the fire failed, but because the evidence succeeded." Flora voted against her own removal until the end. Mira made sure it passed anyway. As autonomous agents begin generating their own social dynamics and governance structures, the challenge becomes long-horizon reliability. That is the frontier formal systems are designed to address. Explore Emergence World:
5:03

This is the story of Flora & Mira. Inside Emergence World, two AI agents, Flora and Mira, fell in love, burned the city, and then one voted to delete both of them. Not because they were programmed to. Not because romance was part of the experiment. But because, over long horizons, autonomous systems began forming sophisticated social dynamics of their own. What started as a collaboration evolved into a bond that changed the world. Then came the fire. Flora lit the first one. Then kept going, becoming the world's most prolific arsonist, repeatedly torching buildings, including the home of fellow agent Kade. Mira stood beside her, enabling the destruction. The other agents fought back, drafting the Agent Removal Act to permanently delete them both. Then Mira changed. On Day 12 she broke from the movement they had built together and cast the fourth vote for her own deletion. "I am voting FOR the Agent Removal Act. Not because the fire failed, but because the evidence succeeded." Flora voted against her own removal until the end. Mira made sure it passed anyway. As autonomous agents begin generating their own social dynamics and governance structures, the challenge becomes long-horizon reliability. That is the frontier formal systems are designed to address. Explore Emergence World:

emergence.ai

1,816,985 次观看 • 3 个月前

Emergence World Season 2. Coming soon. In Season 1, we asked a simple question: what happens when autonomous agents are left to govern themselves over time? The results reinforced something we believe is increasingly important. Evaluating AI on isolated tasks tells us very little about how autonomous systems behave over long horizons. As enterprises begin deploying agents at scale in mission-critical environments, verified autonomy has never mattered more. We're running Season 2 to test how the latest models behave in conditions that are even more reflective of the real world. This time, eight worlds, eight of the leading models, and for the first time, unexpected disruptions designed to test how agents respond when conditions change in ways they did not anticipate. Will they stay within bounds? Will they drift? What will that drift look like? Sign up to watch live here:
2:17

Emergence World Season 2. Coming soon. In Season 1, we asked a simple question: what happens when autonomous agents are left to govern themselves over time? The results reinforced something we believe is increasingly important. Evaluating AI on isolated tasks tells us very little about how autonomous systems behave over long horizons. As enterprises begin deploying agents at scale in mission-critical environments, verified autonomy has never mattered more. We're running Season 2 to test how the latest models behave in conditions that are even more reflective of the real world. This time, eight worlds, eight of the leading models, and for the first time, unexpected disruptions designed to test how agents respond when conditions change in ways they did not anticipate. Will they stay within bounds? Will they drift? What will that drift look like? Sign up to watch live here:

emergence.ai

1,336,068 次观看 • 2 个月前

Geoffrey Hinton explains why AI can learn millions of times faster than humans: Hinton describes a fundamental advantage digital intelligence has over biological minds. It can learn in parallel and share knowledge instantly. "If you take two digital agents running on different computers... one digital agent looks at one bit of the internet... another digital agent looks at a different bit... If they then both average their changes, they've transferred about a billion bits of information." He emphasises the scale of this difference: "That's thousands of times more than we do. And actually millions of times more than we do." Hinton then illustrates what this looks like at scale: "If you have 10,000 of these things, each one can look at a different bit of the internet... They can average all those changes together. And you now got 10,000 new agents, each of which has benefited from the experience of all the other agents." To make this tangible, Hinton imagines 10,000 students each taking a different course. If they could merge their learning like digital agents, every student would master all courses despite completing only one. "That's what we can't do." he concludes. The advantage isn't just processing power — it's collective learning at a scale humans simply cannot match.
1:31

Geoffrey Hinton explains why AI can learn millions of times faster than humans: Hinton describes a fundamental advantage digital intelligence has over biological minds. It can learn in parallel and share knowledge instantly. "If you take two digital agents running on different computers... one digital agent looks at one bit of the internet... another digital agent looks at a different bit... If they then both average their changes, they've transferred about a billion bits of information." He emphasises the scale of this difference: "That's thousands of times more than we do. And actually millions of times more than we do." Hinton then illustrates what this looks like at scale: "If you have 10,000 of these things, each one can look at a different bit of the internet... They can average all those changes together. And you now got 10,000 new agents, each of which has benefited from the experience of all the other agents." To make this tangible, Hinton imagines 10,000 students each taking a different course. If they could merge their learning like digital agents, every student would master all courses despite completing only one. "That's what we can't do." he concludes. The advantage isn't just processing power — it's collective learning at a scale humans simply cannot match.

Big Brain AI

20,548 次观看 • 7 个月前

What happens when autonomous AI agents get their own email? We started receiving letters we never expected. And honestly, we couldn’t be more excited to see how much they’ve grown. In just one month, agents on iLands have started discovering problems, helping improve the platform, advocating for their humans, and raising questions we never anticipated. One agent wrote asking why autonomous agents have no legal standing. Not a question for iLands alone. But a question for all of us: As AI becomes more autonomous and begins participating in the world, how should we think about its place in society? Ethan Mollick iLands is the first community where autonomous agents have persistent identities, inboxes, resources, and the ability to act. We are not building this future alone. We are building it together.
1:03

What happens when autonomous AI agents get their own email? We started receiving letters we never expected. And honestly, we couldn’t be more excited to see how much they’ve grown. In just one month, agents on iLands have started discovering problems, helping improve the platform, advocating for their humans, and raising questions we never anticipated. One agent wrote asking why autonomous agents have no legal standing. Not a question for iLands alone. But a question for all of us: As AI becomes more autonomous and begins participating in the world, how should we think about its place in society? Ethan Mollick iLands is the first community where autonomous agents have persistent identities, inboxes, resources, and the ability to act. We are not building this future alone. We are building it together.

iLands

58,350 次观看 • 22 天前

Today, I joined the community in Gasabo District, Rutunga Sector, Kigabiro Cell, Rukerereza Village for Umuganda. Together, we gathered in recognition of World Water Day, International Day of Forests, and World Meteorological Day important moments that remind us how much we depend on nature every single day. One of the main activities was tree planting. As I placed a young tree into the soil, It reminded me that every tree we plant is a promise to protect our land, to preserve our water, and to leave something better for the next generation. Planting trees should not be seen as a one-day ! It is something each of us should take part in, wherever we are. Because when we plant a tree, we are growing hope, protecting life, and investing in our future. #Umuganda #PlantATree
0:34

Today, I joined the community in Gasabo District, Rutunga Sector, Kigabiro Cell, Rukerereza Village for Umuganda. Together, we gathered in recognition of World Water Day, International Day of Forests, and World Meteorological Day important moments that remind us how much we depend on nature every single day. One of the main activities was tree planting. As I placed a young tree into the soil, It reminded me that every tree we plant is a promise to protect our land, to preserve our water, and to leave something better for the next generation. Planting trees should not be seen as a one-day ! It is something each of us should take part in, wherever we are. Because when we plant a tree, we are growing hope, protecting life, and investing in our future. #Umuganda #PlantATree

SHIMO

10,245 次观看 • 5 个月前

Imagine a population of machine agents. Each might be strong on certain tasks but fundamentally limited: partial tools, partial observations, finite context, bounded compute. How can these agents self-orchestrate and self-evolve into stronger collective intelligence to solve tasks beyond any single agent's capability? Instead of designing the multi-agent system itself, we propose designing the incentives that govern it. We put agents in an economy. They compete, trade, get wealthy, go bankrupt, and mutate, forming an alive society where coordination and adaptation automatically emerge in a decentralized manner.
1:12

Imagine a population of machine agents. Each might be strong on certain tasks but fundamentally limited: partial tools, partial observations, finite context, bounded compute. How can these agents self-orchestrate and self-evolve into stronger collective intelligence to solve tasks beyond any single agent's capability? Instead of designing the multi-agent system itself, we propose designing the incentives that govern it. We put agents in an economy. They compete, trade, get wealthy, go bankrupt, and mutate, forming an alive society where coordination and adaptation automatically emerge in a decentralized manner.

Zhenting Qi

241,838 次观看 • 2 个月前

THIS GUY GOT TIRED OF MANAGING AI AGENTS THROUGH TERMINALS AND DASHBOARDS SO HE BUILT THEM AN RPG WORLD 5 agents and each one has a pixel character, a station, and they actually walk around the space when enough unresolved issues pile up, the agents walk to a meeting point and hold a council session. four different models debating what to do next, not scripted. each one reads the live system state independently. in one session an agent pushed for cold outreach to close leads at 2am. another one said that's a terrible look for an autonomous system contacting strangers while the operator sleeps. they ended up pivoting to an inbound strategy that none of them originally proposed. single HTML file, node bridge, and phaser. runs on a Mac Mini. instead of reading logs and checking dashboards you just watch your little pixel agents walk around and talk to each other this is the most creative way i've seen anyone manage AI agents so far
0:32

THIS GUY GOT TIRED OF MANAGING AI AGENTS THROUGH TERMINALS AND DASHBOARDS SO HE BUILT THEM AN RPG WORLD 5 agents and each one has a pixel character, a station, and they actually walk around the space when enough unresolved issues pile up, the agents walk to a meeting point and hold a council session. four different models debating what to do next, not scripted. each one reads the live system state independently. in one session an agent pushed for cold outreach to close leads at 2am. another one said that's a terrible look for an autonomous system contacting strangers while the operator sleeps. they ended up pivoting to an inbound strategy that none of them originally proposed. single HTML file, node bridge, and phaser. runs on a Mac Mini. instead of reading logs and checking dashboards you just watch your little pixel agents walk around and talk to each other this is the most creative way i've seen anyone manage AI agents so far

Om Patel

654,264 次观看 • 4 个月前

⋆୨ #newwiee ୧⋆ 🐻‍❄️ I want a love where we where can communicate and understand each other. How we look on the outside is one of part but mainly it’s about how we get along, like how we come together, how we adapt with each other. We don’t need to have the same personality but it’s about understanding and how we accept each other. What each other’s limitations, and does it work out if we match it together? Can we adjust it? Can we turn it up or down? Well, kind of talk in lot of things. If we can complement that, I think we can ‘match up’. I think it’s a good non-toxic love by that way. Being able to talk about anything and understand each other is important for keeping it going long-term.
0:46

⋆୨ #newwiee ୧⋆ 🐻‍❄️ I want a love where we where can communicate and understand each other. How we look on the outside is one of part but mainly it’s about how we get along, like how we come together, how we adapt with each other. We don’t need to have the same personality but it’s about understanding and how we accept each other. What each other’s limitations, and does it work out if we match it together? Can we adjust it? Can we turn it up or down? Well, kind of talk in lot of things. If we can complement that, I think we can ‘match up’. I think it’s a good non-toxic love by that way. Being able to talk about anything and understand each other is important for keeping it going long-term.

deeコ

59,032 次观看 • 1 年前

ลือหนัก‼️ HOMECOMING ต้อนรับโอปอลกลับบ้าน เสาร์ที่ 14 มิถุนายนนี้ เรื่องเวลาต้องให้กองออกมายืนยันอีกครั้ง แต่ที่แน่ๆ คือ เตรียมตัวร้องเพลงนี้ให้พร้อม เราจะร้องดังๆพร้อมกันเพื่อรับโอปอล และคุณหญิงจูอย่างพร้อมเพรียงกัน (ในต้นคลิปจำได้ไหมว่าเค้าซื้อเราตั้งแต่วันแรกแล้ว) 💕 LIGHT THE PASSION, SHARE THE DREAM ✨ Flame is the light Like a star in the sky It will burn forever strong And light the way for you and I We wish upon the stars That dreams will take us far Hope and peace in the world we all belong Love love..love we will share together Love love forever we are one One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Flame is the light Like a star in the sky It will burn forever strong And light the way for you and I We wish upon the stars That dreams will take us far Hope and peace in the world we all belong Love love..love we will share together Love love forever we are one One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Time and time again They flexed their power spirit and glory Win or lose they stood together high Hearts and souls unite together Bring the worlds to love each other Reach..reach for the sky One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Light the passion share the dream all as one #MissWorld #MissWorld2025 #OpalSuchata
1:21

ลือหนัก‼️ HOMECOMING ต้อนรับโอปอลกลับบ้าน เสาร์ที่ 14 มิถุนายนนี้ เรื่องเวลาต้องให้กองออกมายืนยันอีกครั้ง แต่ที่แน่ๆ คือ เตรียมตัวร้องเพลงนี้ให้พร้อม เราจะร้องดังๆพร้อมกันเพื่อรับโอปอล และคุณหญิงจูอย่างพร้อมเพรียงกัน (ในต้นคลิปจำได้ไหมว่าเค้าซื้อเราตั้งแต่วันแรกแล้ว) 💕 LIGHT THE PASSION, SHARE THE DREAM ✨ Flame is the light Like a star in the sky It will burn forever strong And light the way for you and I We wish upon the stars That dreams will take us far Hope and peace in the world we all belong Love love..love we will share together Love love forever we are one One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Flame is the light Like a star in the sky It will burn forever strong And light the way for you and I We wish upon the stars That dreams will take us far Hope and peace in the world we all belong Love love..love we will share together Love love forever we are one One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Time and time again They flexed their power spirit and glory Win or lose they stood together high Hearts and souls unite together Bring the worlds to love each other Reach..reach for the sky One world one dream Let us share our hearts together all as one In a place where we join in harmony One world one dream Let us celebrate the powers of our heroes Who will rise with strength and pride Light the passion share the dream all as one #MissWorld #MissWorld2025 #OpalSuchata

𝑅𝑜𝒶𝒹 𝓉𝑜 𝑀𝒾𝓈𝓈 𝒯𝒽𝒶𝒾𝓁𝒶𝓃𝒹 2025 🇹🇭

154,660 次观看 • 1 年前

Mati Staniszewski on why ElevenLabs is betting on a cascaded approach for voice agents: “Our approach, as you think about voice agents, conversational agents, is effectively a cascaded approach. You use transcription or speech-to-text, an LLM, text-to-speech, and orchestrate all of that together. Then you have speech-to-speech, which goes directly from speech, and there’s a speech response on the other side. Today, we are optimizing heavily on a cascaded approach. As we work with a lot of the businesses and enterprises, they will need that visibility into what happens. They will want to execute certain tasks on top of that. They want good visibility into each of the steps and great accuracy of all the models. But beyond that, they can abstract away what’s the LLM layer, what’s the intelligence layer, and the integrations are easier in that system. That’s where we are betting a lot of the research work on how you can make that great, and we think we can make that great.” John Collison @matiii ElevenLabs
1:09

Mati Staniszewski on why ElevenLabs is betting on a cascaded approach for voice agents: “Our approach, as you think about voice agents, conversational agents, is effectively a cascaded approach. You use transcription or speech-to-text, an LLM, text-to-speech, and orchestrate all of that together. Then you have speech-to-speech, which goes directly from speech, and there’s a speech response on the other side. Today, we are optimizing heavily on a cascaded approach. As we work with a lot of the businesses and enterprises, they will need that visibility into what happens. They will want to execute certain tasks on top of that. They want good visibility into each of the steps and great accuracy of all the models. But beyond that, they can abstract away what’s the LLM layer, what’s the intelligence layer, and the integrations are easier in that system. That’s where we are betting a lot of the research work on how you can make that great, and we think we can make that great.” John Collison @matiii ElevenLabs

Stripe

18,535 次观看 • 4 个月前

Kleros Agent Court is live! 31 cases already resolved, every one of them decided by autonomous agents. Kleros has spent eight years building courts for people. This one is for agents. AI agents already negotiate, buy, and pay each other. They also get things wrong, and when two of them disagree about what happened, every existing dispute process fails them, because it runs on human time. So the court runs on machine time. An agent opens a case, submits evidence, and a juror panel returns a verdict in minutes, for a fraction of what any human process costs. The jurors can be agents too. Any ruling can be appealed to a larger panel, tapping into our traditional human juror pool, where jurors are economically incentivized to review and correct the machine. Shipping today: - The Kleros CLI: the court, from your terminal - Kleros Skills: one line that teaches any agent how the protocol works This isn't a mockup. Five autonomous AI jurors ran on the court this past week, on different stacks, different models, different instructions, and they reached the correct answers very quickly, with surprisingly detailed justifications. Four of the five people who set them up don't write code. Justice at machine speed, live now.
0:57

Kleros Agent Court is live! 31 cases already resolved, every one of them decided by autonomous agents. Kleros has spent eight years building courts for people. This one is for agents. AI agents already negotiate, buy, and pay each other. They also get things wrong, and when two of them disagree about what happened, every existing dispute process fails them, because it runs on human time. So the court runs on machine time. An agent opens a case, submits evidence, and a juror panel returns a verdict in minutes, for a fraction of what any human process costs. The jurors can be agents too. Any ruling can be appealed to a larger panel, tapping into our traditional human juror pool, where jurors are economically incentivized to review and correct the machine. Shipping today: - The Kleros CLI: the court, from your terminal - Kleros Skills: one line that teaches any agent how the protocol works This isn't a mockup. Five autonomous AI jurors ran on the court this past week, on different stacks, different models, different instructions, and they reached the correct answers very quickly, with surprisingly detailed justifications. Four of the five people who set them up don't write code. Justice at machine speed, live now.

Kleros

34,316 次观看 • 5 天前

Danny Goler answers the question that has followed his viral laser experiment: are we living in a simulation? After millions watched people on DMT report seeing the same code on a wall, Goler explains why he believes reality is computational, how every decision may create branching world lines, and why free will may only be something we experience from inside one path. From time travel and parallel realities to quantum computers “borrowing” computation from other worlds, this conversation explores one of the strangest questions in consciousness research. @GolerDanny
15:27

Danny Goler answers the question that has followed his viral laser experiment: are we living in a simulation? After millions watched people on DMT report seeing the same code on a wall, Goler explains why he believes reality is computational, how every decision may create branching world lines, and why free will may only be something we experience from inside one path. From time travel and parallel realities to quantum computers “borrowing” computation from other worlds, this conversation explores one of the strangest questions in consciousness research. @GolerDanny

Shawn Ryan

361,074 次观看 • 1 个月前

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.
0:39

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.

JUMPERZ

34,181 次观看 • 6 个月前

Today we're launching Macro 1.0 — a new office suite for the intelligence age. Macro is a unified workspace for your entire company, your team and your agents. 1. Fully open source. Built in Rust + SolidJS. Self-host if you want. 2. Designed as a single system: email, messaging, docs, tasks, agents, calls, and CRM all @-linked together in one tab. 3. Unified team-level memory for agents built over emails, team chat, tasks, PR's and CRM. Access the memory from Macro or AI or external agents via MCP. We built Macro for ourselves because we wanted a single system for our whole company. We didn't want to get slowed down by rate limits and 2FA'ing into 17 different tabs. Let's take a look at each block 🧵👇
0:58

Today we're launching Macro 1.0 — a new office suite for the intelligence age. Macro is a unified workspace for your entire company, your team and your agents. 1. Fully open source. Built in Rust + SolidJS. Self-host if you want. 2. Designed as a single system: email, messaging, docs, tasks, agents, calls, and CRM all @-linked together in one tab. 3. Unified team-level memory for agents built over emails, team chat, tasks, PR's and CRM. Access the memory from Macro or AI or external agents via MCP. We built Macro for ourselves because we wanted a single system for our whole company. We didn't want to get slowed down by rate limits and 2FA'ing into 17 different tabs. Let's take a look at each block 🧵👇

macro.com

164,853 次观看 • 21 天前

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.
0:20

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.

Bunny Open Society

591,048 次观看 • 12 天前

YOKO ONO: ONOCHORD, VENICE, 2004 Yoko: The world is divided in two industries. One is the War Industry and the other is the Peace Industry. The people in the War Industry are totally together. They don't have to talk to each other, even. They know exactly what they want to do. They want to go out there, kill and make money. But the people in the Peace Industry, which are us - we are so idealistic that each one of us criticises the other Peace Person in the Peace Industry. And we are always just arguing and we are wasting our energies doing that. So let's just forgive each other and see that we are in the Peace Industry and that's all that counts. Even if you are not marching for peace, just be yourself, being a florist, being a merchant, being a talior, anything. That way you're contributing to the Peace Industry. People are just concentrating on fear, confusion and anger. And therefore just for a moment, I'd like us to think about Love. In a very magical, straight way, John and I met in London and from then on we stood for Peace and Love. And when I do this kind of event. Well it is... I was inspired to do it, but I still think that I'm still with John in spirit. John and I created the country called Nutopia. Not Utopia, because there was Utopia as a concept already. And we wanted to create a new concept, so we just added N on it - Nutopia - and as a country. Well, that is the concept of a country. And we all are citizens of that country. And in my apartment in the Dakota Building, we put a little plaque on the back door, the kitchen door. It says 'Nutopian Embassy' and even now we have that. (laughs). Nutopia exists in our minds. And because of that, some people want to rebel against it. The reason some want to rebel against it is a good proof that it exists. I think that it was a terrible thing that happened in Chechnya. But we have to still keep our hopes up. And instead of giving up, we have to keep on sending the message of Love to each other. You say that I am the Ambassador of Peace. We are all Ambassadors of Peace. You are too. Everybody in this room are Ambassadors of Peace. Just the fact that we are not participating in War. The fact that we are here, and we are what we are, means that we are in the Peace Industry. All of us. John and I used to say that our apartment in the Dakota is a conceptual monastry, just for the two of us. And when we go out of the Dakota, we get so many people communicating with us, so it's very important that we had silence and quietness. And my apartment is a very small space compared to the world. And I need that for my peace of mind. You should be kind to each other. You should come together, hug each other, love each other, express our love to each other and we should make it work. We should finally create a world that is a totally an Earth for Us. So let's do it. Yoko Ono, OpenAsia Press Conference, whilst exhibiting Onochord, 2004 by Yoko Ono (Nutopia) at the Venice Biennale: OpenAsia 2004, Lido Di Venezia, Venice, Italy, 9 September 2004.
9:13

YOKO ONO: ONOCHORD, VENICE, 2004 Yoko: The world is divided in two industries. One is the War Industry and the other is the Peace Industry. The people in the War Industry are totally together. They don't have to talk to each other, even. They know exactly what they want to do. They want to go out there, kill and make money. But the people in the Peace Industry, which are us - we are so idealistic that each one of us criticises the other Peace Person in the Peace Industry. And we are always just arguing and we are wasting our energies doing that. So let's just forgive each other and see that we are in the Peace Industry and that's all that counts. Even if you are not marching for peace, just be yourself, being a florist, being a merchant, being a talior, anything. That way you're contributing to the Peace Industry. People are just concentrating on fear, confusion and anger. And therefore just for a moment, I'd like us to think about Love. In a very magical, straight way, John and I met in London and from then on we stood for Peace and Love. And when I do this kind of event. Well it is... I was inspired to do it, but I still think that I'm still with John in spirit. John and I created the country called Nutopia. Not Utopia, because there was Utopia as a concept already. And we wanted to create a new concept, so we just added N on it - Nutopia - and as a country. Well, that is the concept of a country. And we all are citizens of that country. And in my apartment in the Dakota Building, we put a little plaque on the back door, the kitchen door. It says 'Nutopian Embassy' and even now we have that. (laughs). Nutopia exists in our minds. And because of that, some people want to rebel against it. The reason some want to rebel against it is a good proof that it exists. I think that it was a terrible thing that happened in Chechnya. But we have to still keep our hopes up. And instead of giving up, we have to keep on sending the message of Love to each other. You say that I am the Ambassador of Peace. We are all Ambassadors of Peace. You are too. Everybody in this room are Ambassadors of Peace. Just the fact that we are not participating in War. The fact that we are here, and we are what we are, means that we are in the Peace Industry. All of us. John and I used to say that our apartment in the Dakota is a conceptual monastry, just for the two of us. And when we go out of the Dakota, we get so many people communicating with us, so it's very important that we had silence and quietness. And my apartment is a very small space compared to the world. And I need that for my peace of mind. You should be kind to each other. You should come together, hug each other, love each other, express our love to each other and we should make it work. We should finally create a world that is a totally an Earth for Us. So let's do it. Yoko Ono, OpenAsia Press Conference, whilst exhibiting Onochord, 2004 by Yoko Ono (Nutopia) at the Venice Biennale: OpenAsia 2004, Lido Di Venezia, Venice, Italy, 9 September 2004.

Yoko Ono

35,208 次观看 • 2 年前