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From siloed AI to collective intelligence 🤝 Collaboration doesn’t have to mean juggling threads, scattered comments, and endless handoffs. With Manus Collaboration, your whole team can prompt the same task in a shared space: 🖼️ One shared canvas : Everyone contributes directly, no silos. 💡 Collective intelligence : Ideas... show more

Manus

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37,385 görüntüleme • 11 ay önce •via X (Twitter)

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this is hands down the fastest way to make everyone on your team better with AI: build a shared Company Brain. your best prompts, decisions, corrections, and workflows become the default for every person and AI agent. Claude, Cursor, Codex, and every teammate start from the same playbook. one person learns something once. the whole company gets smarter. the full guide to building your own Company Brain is below:

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ANTHROPIC LEAKED 6 RULES THAT LET ONE FOLDER REPLACE A WHOLE AI ENGINEERING TEAM COSTING $3.2M A YEAR folder with 6 files replaced the AI engineers - and the team that spent 4 years writing them isn't needed anymore. file → commit → description matches → loads → runs → leaves a prompt has no history, a folder has a git log - one commit updates every session at once, and every edit shows up in the diff. two prompts fight over one window - two skills just both apply, and nobody merges anything by hand. 8 skills sit on disk, one enters the context - the other seven cost zero tokens until the description matches. a prompt can only ask - the folder carries build py and template.docx inside it, so the deterministic parts stay deterministic. the same skill works in Claude Code, in Cowork and through the API - a prompt lives only in the window you pasted it into. and the main one: a skill leaves the window when it's done - a prompt never leaves. save this - 6 rules, one folder, zero copy-paste ↓

Sprytix

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It’s one of my favorite team building exercises to build a stronger team. You can do this with your work team or family team. Have everyone pick a word for the year and share with each other why you chose it. You’ll create stronger connections as you share your words and your whys. I’d also like you to invite you and your team to join my One Word Challenge and we can do this together. Click the link to join! 🔗

It’s one of my favorite team building exercises to build a stronger team. You can do this with your work team or family team. Have everyone pick a word for the year and share with each other why you chose it. You’ll create stronger connections as you share your words and your whys. I’d also like you to invite you and your team to join my One Word Challenge and we can do this together. Click the link to join! 🔗

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Wesley

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Seedance 2.5 Prompt Share - 720p, 30s Optimized the scene from the quoted post for Seedance 2.5, extended it to 30 seconds and adapted it into a live-action style. This time, I went with a Chinese prompt. You can find the prompt in the replies. Which do you prefer, the anime version or the live-action one? Created with Seedance 2.5 on Astorie AI

Seedance 2.5 Prompt Share - 720p, 30s Optimized the scene from the quoted post for Seedance 2.5, extended it to 30 seconds and adapted it into a live-action style. This time, I went with a Chinese prompt. You can find the prompt in the replies. Which do you prefer, the anime version or the live-action one? Created with Seedance 2.5 on Astorie AI

Kōda

16,952 görüntüleme • 14 gün önce

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.

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 görüntüleme • 6 ay önce

Our creative sector continues to prove its resilience and ability to evolve, fueled by a renewed spirit and an ecosystem grounded in partnership and collective effort. I was delighted to meet with representatives from Dubai’s cultural and creative sector during a workshop held in collaboration between Dubai Culture and Dubai Future Foundation. Together, we explored challenges, shared perspectives, and identified opportunities that will shape the future. Moments like these reveal the true strength of our sector.. a shared spirit of collaboration, a deep sense of responsibility, and an unwavering belief that creativity is the engine of progress. Together, we do more than keep pace with change, we shape it. And we move forward with confidence, driving a future that is bolder, more dynamic and endlessly innovative.

Our creative sector continues to prove its resilience and ability to evolve, fueled by a renewed spirit and an ecosystem grounded in partnership and collective effort. I was delighted to meet with representatives from Dubai’s cultural and creative sector during a workshop held in collaboration between Dubai Culture and Dubai Future Foundation. Together, we explored challenges, shared perspectives, and identified opportunities that will shape the future. Moments like these reveal the true strength of our sector.. a shared spirit of collaboration, a deep sense of responsibility, and an unwavering belief that creativity is the engine of progress. Together, we do more than keep pace with change, we shape it. And we move forward with confidence, driving a future that is bolder, more dynamic and endlessly innovative.

Latifa MR Al Maktoum

12,118 görüntüleme • 4 ay önce

This is one of the more interesting cases I’ve heard for why we should put AI data centers in space. Yes, it would benefit a few billionaires, but it could also lessen the environmental toll on Earth. And we’re going to need to cut AI's carbon footprint in as many ways as we can. Space architect Ariel Ekblaw and I went deep on the opportunities—and many challenges—of building AI infrastructure in orbit. Watch our conversation here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.

This is one of the more interesting cases I’ve heard for why we should put AI data centers in space. Yes, it would benefit a few billionaires, but it could also lessen the environmental toll on Earth. And we’re going to need to cut AI's carbon footprint in as many ways as we can. Space architect Ariel Ekblaw and I went deep on the opportunities—and many challenges—of building AI infrastructure in orbit. Watch our conversation here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.

nxthompson

25,850 görüntüleme • 4 ay önce

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

Diego

12,597 görüntüleme • 4 ay önce