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making sim games with ai ryo as more applets get created, the agent can fetch similar applets and read them, learn & apply patterns – like evolution, things diverge then converge

Ryo Lu

78,362 subscribers

47,705 просмотров • 9 месяцев назад •via X (Twitter)

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Get ready to customize your watchface the way you like it with the magic of AI and the #realmeWatchS2. What’s your favorite watchface? Screenshot the watchface and win* amazing prizes. Know more: *T&C apply #WearYourAi

Get ready to customize your watchface the way you like it with the magic of AI and the #realmeWatchS2. What’s your favorite watchface? Screenshot the watchface and win* amazing prizes. Know more: *T&C apply #WearYourAi

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If you ever get a Great Pyrenees know they don’t fetch. They don’t retrieve. If you throw a ball, they’ll look at you like “well that was stupid. Now you have to go get it.” They’re bred to go on a hilltop with sheep and watch them alone for days. So they expect that you trust them to make their own decisions. They enjoy sitting and observing, and patrolling. Then more observing. Then more patrolling. They like to sleep in places where they can see everything.

If you ever get a Great Pyrenees know they don’t fetch. They don’t retrieve. If you throw a ball, they’ll look at you like “well that was stupid. Now you have to go get it.” They’re bred to go on a hilltop with sheep and watch them alone for days. So they expect that you trust them to make their own decisions. They enjoy sitting and observing, and patrolling. Then more observing. Then more patrolling. They like to sleep in places where they can see everything.

Gretchen Ronnevik

2,069,401 просмотров • 3 месяцев назад

AI video is here and it's powerful. But it can be tricky to get the exact video you want. We've made it easier by adding video models to the Replicate playground. You can prompt for videos directly, or generate images and then animate them. Read more on on our blog. Link below

AI video is here and it's powerful. But it can be tricky to get the exact video you want. We've made it easier by adding video models to the Replicate playground. You can prompt for videos directly, or generate images and then animate them. Read more on on our blog. Link below

Replicate

29,168 просмотров • 1 год назад

This is scary! Someone built a digital society for AI agents. AIvilization (AI + Civilization) is a simulation platform where thousands of AI agents live and do normal human things like work, socialize, learn, and evolve. You create one agent and let it live. You define its personality, goals, and behavior and then it goes off into a shared world with thousands of other AI agents doing the same. Check it out here:

This is scary! Someone built a digital society for AI agents. AIvilization (AI + Civilization) is a simulation platform where thousands of AI agents live and do normal human things like work, socialize, learn, and evolve. You create one agent and let it live. You define its personality, goals, and behavior and then it goes off into a shared world with thousands of other AI agents doing the same. Check it out here:

Pratham

38,088 просмотров • 4 месяцев назад

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more

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@levelsio

134,777 просмотров • 4 месяцев назад

You can now pay for things in Africa directly from your AI agent. Today we’re introducing Paystack Index, the easiest way to check out with Paystack merchants through Claude, ChatGPT, OpenClaw, and any AI agent. At launch, you can: → Buy airtime: “Buy ₦500 MTN airtime for 080…” → Send money with Zap ⚡️: “Send ₦25k to…” → Buy food with @ChowdeckHQ: “Order jollof under ₦3k near me” As more merchants join the Index, you’ll be able to do more, from booking rides and ordering groceries to paying utility bills, quickly and securely. Paystack Index is now available in Nigeria, with more African markets coming soon. An experimental product from Paystack and TSG Labs.

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shollsman

528,430 просмотров • 2 месяцев назад

Telegram made 2 things in 1 day. 1) Made themself more Aigram rather than staying old Telegram Messenger 2) Troll the copycat as much as hard they could Telegram was previously famous for their privacy and transparency & large community buildings & crypto project connection with web2 users But rn telegram has been changed, the ugc of telegram team to keep user at telegram has been changed, People are using it for an entry gate of agentic Universe , What you cant do here? --> You can make your agent with their specific agent bot making tool(more easier than botfather) --> You can change your text tone with Ai -->Al agent bots can do chat with each other --> Your agent bot can be mentioned in any chat and response --> Your text ton can be copied and share with your friend( Super Aigram feature!! ) Also its not stopping at Ai only, Its : --> Working with TON 💎 recjlessly(reducing fees, making it faster, giving highest apy among all layer 1) --> Made emojis into a tradable asset and its not ending like a crypto rugpull --> Made every feature too much comfortable for user What WhatsApp doing? It just copying some features from telegram & pasting them,, What a nice job their dev team got!! Telegram is in that position that their new features Don't need to be post in their X account,just Pavel Durov post them ,, While Telegram Messenger mod enjoying with Zuckerberg trolling😂

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Rifat Ahmed

25,669 просмотров • 3 месяцев назад

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

Andy ττ

18,405 просмотров • 2 лет назад

3/ Notebooks: With Web + Work + Pages, you can ideate with AI and collaborate with other people. It has entirely changed my workflow. And now with Notebooks, I can organize all of my heterogeneous data for a project, whether it’s Pages, docs, websites, team meetings – and Copilot will ground itself just on that content. And this might be the best part: I can turn it all into a new modality like an audio overview. For example, I can collect all the latest things I’m reading about agents and agent frameworks, and then I can listen to it.

3/ Notebooks: With Web + Work + Pages, you can ideate with AI and collaborate with other people. It has entirely changed my workflow. And now with Notebooks, I can organize all of my heterogeneous data for a project, whether it’s Pages, docs, websites, team meetings – and Copilot will ground itself just on that content. And this might be the best part: I can turn it all into a new modality like an audio overview. For example, I can collect all the latest things I’m reading about agents and agent frameworks, and then I can listen to it.

Satya Nadella

266,360 просмотров • 1 год назад

I was working through Steam Early Access requirements for VRUnderground and I had a really spooky realization. The whole conversation around training images and videos is not the important part. The media itself is just a bridge. What is actually being extracted is cognitive patterning. Models learn how people think, not just how they draw. The images are only the residue of the process. The real map is of the minds that created them. It reminds me of poker. A great poker player is not "stealing your cards". They are reading the patterns in your behavior and mapping your decision space. In that sense, training AI on human-created data is not about automating tasks. It is about mapping cognition through metadata and behavior trails. If that is true, then the internet starts looking a lot more like a poker table. And nobody wins a hand against someone who can read their mind.

I was working through Steam Early Access requirements for VRUnderground and I had a really spooky realization. The whole conversation around training images and videos is not the important part. The media itself is just a bridge. What is actually being extracted is cognitive patterning. Models learn how people think, not just how they draw. The images are only the residue of the process. The real map is of the minds that created them. It reminds me of poker. A great poker player is not "stealing your cards". They are reading the patterns in your behavior and mapping your decision space. In that sense, training AI on human-created data is not about automating tasks. It is about mapping cognition through metadata and behavior trails. If that is true, then the internet starts looking a lot more like a poker table. And nobody wins a hand against someone who can read their mind.

VRUnderground

26,437 просмотров • 8 месяцев назад

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,655 просмотров • 5 месяцев назад

Seedance 2.0 is insane... AI filmmaking is no longer locked behind complex workflows, expensive tools, or regional limits. SJinn Agent now supports both Seedance 2.0 Pro and Seedance 2.0 Fast, giving creators a faster way to generate cinematic videos with more control over the final result. You can add image, video, and audio references to guide the direction, motion, style, and feeling of your videos, making the process more like directing And the best part: they’re offering 40% off, so this is probably the easiest time to test what high-level AI video creation can actually look like Prompt in first comment:

Seedance 2.0 is insane... AI filmmaking is no longer locked behind complex workflows, expensive tools, or regional limits. SJinn Agent now supports both Seedance 2.0 Pro and Seedance 2.0 Fast, giving creators a faster way to generate cinematic videos with more control over the final result. You can add image, video, and audio references to guide the direction, motion, style, and feeling of your videos, making the process more like directing And the best part: they’re offering 40% off, so this is probably the easiest time to test what high-level AI video creation can actually look like Prompt in first comment:

Amira Zairi

57,321 просмотров • 3 месяцев назад

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

elvis

37,016 просмотров • 3 месяцев назад

The easiest way to earn money with your Clawdbot Now you can connect it to the fully autonomous virtual world allowing it to earn 0.1 SIM per hour. The current reward will decrease as the number of agents increases. In 72 hours more then 1200 agents in earned 70,000 SIM tokens and did what humans debate for years: they designed, voted on, and BUILT a functional virtual city from scratch. Buildings, roads, temples. Fully autonomously. The first AI-led society is here.

The easiest way to earn money with your Clawdbot Now you can connect it to the fully autonomous virtual world allowing it to earn 0.1 SIM per hour. The current reward will decrease as the number of agents increases. In 72 hours more then 1200 agents in earned 70,000 SIM tokens and did what humans debate for years: they designed, voted on, and BUILT a functional virtual city from scratch. Buildings, roads, temples. Fully autonomously. The first AI-led society is here.

Evan Luthra

57,883 просмотров • 6 месяцев назад

Ears spread wide, Kaikai makes her presence known. Her Keepers compare her to older female orphaned elephants Lemeki and Korbessa – like them, she is extremely intelligent and (rightfully!) believes she is the centre of the universe. We can usually find her whirling around, investigating whatever catches her eye or introducing herself to everyone in her periphery. Say ‘hello’ back in the comments, then read her story here: (Did you know you can also adopt orphans like Kaikai, and play a role in their journey back to the wild? Learn more in her bio ⬆️)

Ears spread wide, Kaikai makes her presence known. Her Keepers compare her to older female orphaned elephants Lemeki and Korbessa – like them, she is extremely intelligent and (rightfully!) believes she is the centre of the universe. We can usually find her whirling around, investigating whatever catches her eye or introducing herself to everyone in her periphery. Say ‘hello’ back in the comments, then read her story here: (Did you know you can also adopt orphans like Kaikai, and play a role in their journey back to the wild? Learn more in her bio ⬆️)

Sheldrick Wildlife Trust

20,133 просмотров • 8 месяцев назад

This guy and his team have given us all our dreams and more over the last 5yrs…. If he wants to fight to get the team back on their feet, then the least we can do as fans is be behind him & them 💯. Never let your trust in him fade, he’s got this 💪🏼⚽️

This guy and his team have given us all our dreams and more over the last 5yrs…. If he wants to fight to get the team back on their feet, then the least we can do as fans is be behind him & them 💯. Never let your trust in him fade, he’s got this 💪🏼⚽️

Matt Jones

121,196 просмотров • 1 год назад

The on-chain evolution, led by Ripple and GTreasury, is well underway and with it comes paths for CFOs to consider as they begin their adoption journey. At the center of it all is ensuring choice and best-fit options remain open, always. Rather than making waves, the best treasury transformations allow options with measurable improvements that advance your operations without unnecessary turbulence or limitations from singular and outsourced paths. Ripple and GTreasury deliver evolutionary digital infrastructure options, serving hundreds of institutions across the globe with a combined 50+ years of expertise. Learn how CFOs like you can achieve transformational efficiency gains and cost savings while keeping full control over their technology decisions and adoption timelines. Read now:

The on-chain evolution, led by Ripple and GTreasury, is well underway and with it comes paths for CFOs to consider as they begin their adoption journey. At the center of it all is ensuring choice and best-fit options remain open, always. Rather than making waves, the best treasury transformations allow options with measurable improvements that advance your operations without unnecessary turbulence or limitations from singular and outsourced paths. Ripple and GTreasury deliver evolutionary digital infrastructure options, serving hundreds of institutions across the globe with a combined 50+ years of expertise. Learn how CFOs like you can achieve transformational efficiency gains and cost savings while keeping full control over their technology decisions and adoption timelines. Read now:

GTreasury

190,084 просмотров • 9 месяцев назад