正在加载视频...

视频加载失败

返回首页

Introducing StreamingLLM. Imagine chatting with an AI assistant that can contextually reference your conversations from weeks or months ago. Or summarizing reports that span thousands of pages. StreamingLLM makes this possible by enabling language models to smoothly handle endless texts without losing steam. Current LLMs are like students cramming...

IntuitMachine's profile picture

Carlos E. Perez

62,317 subscribers

557,849 次观看 • 2 年前 •via X (Twitter)

科学技术
LIVE

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

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!
0:15

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 次观看 • 1 年前

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)
0:14

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)

Tyler

24,994 次观看 • 1 年前

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.
0:17

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

Rohan Paul

50,097 次观看 • 4 个月前

Fine-tune DeepSeek-OCR on your own language! (100% local) DeepSeek-OCR is a 3B-parameter vision model that achieves 97% precision while using 10× fewer vision tokens than text-based LLMs. It handles tables, papers, and handwriting without killing your GPU or budget. Why it matters: Most vision models treat documents as massive sequences of tokens, making long-context processing expensive and slow. DeepSeek-OCR uses context optical compression to convert 2D layouts into vision tokens, enabling efficient processing of complex documents. The best part? You can easily fine-tune it for your specific use case on a single GPU. I used Unsloth to run this experiment on Persian text and saw an 88.26% improvement in character error rate. ↳ Base model: 149% character error rate (CER) ↳ Fine-tuned model: 60% CER (57% more accurate) ↳ Training time: 60 steps on a single GPU Persian was just the test case. You can swap in your own dataset for any language, document type, or specific domain you're working with. I've shared the complete guide in the next tweet - all the code, notebooks, and environment setup ready to run with a single click. Everything is 100% open-source!
0:14

Fine-tune DeepSeek-OCR on your own language! (100% local) DeepSeek-OCR is a 3B-parameter vision model that achieves 97% precision while using 10× fewer vision tokens than text-based LLMs. It handles tables, papers, and handwriting without killing your GPU or budget. Why it matters: Most vision models treat documents as massive sequences of tokens, making long-context processing expensive and slow. DeepSeek-OCR uses context optical compression to convert 2D layouts into vision tokens, enabling efficient processing of complex documents. The best part? You can easily fine-tune it for your specific use case on a single GPU. I used Unsloth to run this experiment on Persian text and saw an 88.26% improvement in character error rate. ↳ Base model: 149% character error rate (CER) ↳ Fine-tuned model: 60% CER (57% more accurate) ↳ Training time: 60 steps on a single GPU Persian was just the test case. You can swap in your own dataset for any language, document type, or specific domain you're working with. I've shared the complete guide in the next tweet - all the code, notebooks, and environment setup ready to run with a single click. Everything is 100% open-source!

Akshay 🚀

126,091 次观看 • 8 个月前

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.
0:11

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

Kaboom.sui🐽 🌊,⛵

18,167 次观看 • 1 年前

Venezuela's experience with hyperinflation is a real eye-opener on how quickly things can go south when inflation gets out of hand. It's like watching your money turn into nothing right before your eyes, which is exactly what happened with the bolívar. Here's what other countries might take away from this: First off, don't put all your economic eggs in one basket. Venezuela leaned too heavily on oil, and when oil prices tanked, so did their economy. Countries should mix it up, invest in different industries so they're not riding the wave of just one commodity or sector. Then there's the money printing story. If you just keep printing money to cover your debts or fund your government, you're asking for trouble. It's like trying to fill a bathtub with the plug out – the water (or money, in this case) just keeps disappearing, and that's inflation for you. Also, having a central bank that can do its job without politicians breathing down its neck can make a big difference. It's about keeping the economy in check without the panic of election cycles or political whims. And let's not forget good governance. Venezuela's economic crisis was made worse by corruption and mismanagement. If those in power aren't playing by the rules, the whole economy suffers. It's like building a house with rotten wood; it might look okay at first, but it won't last. The social fallout from this crisis shows us that when the economy crashes, it's not just about numbers. People's lives are turned upside down – they can't afford food or medicine. Countries need to have safety nets in place, like strong social programs, to catch folks when they fall. Lastly, using dollars instead of bolívares in Venezuela tells us that while pegging your currency to a stable one like the dollar can calm things down quickly, it's a double-edged sword. You might stabilize, but you also give up control over your own money game, which can be risky down the line. So, Venezuela's story is a wake-up call: diversify your economy, manage your money wisely, keep politics out of your central bank, ensure your leaders are playing fair, and always remember that behind every economic decision, there are real people whose lives are affected.
0:14

Venezuela's experience with hyperinflation is a real eye-opener on how quickly things can go south when inflation gets out of hand. It's like watching your money turn into nothing right before your eyes, which is exactly what happened with the bolívar. Here's what other countries might take away from this: First off, don't put all your economic eggs in one basket. Venezuela leaned too heavily on oil, and when oil prices tanked, so did their economy. Countries should mix it up, invest in different industries so they're not riding the wave of just one commodity or sector. Then there's the money printing story. If you just keep printing money to cover your debts or fund your government, you're asking for trouble. It's like trying to fill a bathtub with the plug out – the water (or money, in this case) just keeps disappearing, and that's inflation for you. Also, having a central bank that can do its job without politicians breathing down its neck can make a big difference. It's about keeping the economy in check without the panic of election cycles or political whims. And let's not forget good governance. Venezuela's economic crisis was made worse by corruption and mismanagement. If those in power aren't playing by the rules, the whole economy suffers. It's like building a house with rotten wood; it might look okay at first, but it won't last. The social fallout from this crisis shows us that when the economy crashes, it's not just about numbers. People's lives are turned upside down – they can't afford food or medicine. Countries need to have safety nets in place, like strong social programs, to catch folks when they fall. Lastly, using dollars instead of bolívares in Venezuela tells us that while pegging your currency to a stable one like the dollar can calm things down quickly, it's a double-edged sword. You might stabilize, but you also give up control over your own money game, which can be risky down the line. So, Venezuela's story is a wake-up call: diversify your economy, manage your money wisely, keep politics out of your central bank, ensure your leaders are playing fair, and always remember that behind every economic decision, there are real people whose lives are affected.

Historic Vids

542,730 次观看 • 1 年前

On your open perpetual position can become an NFT and live in your wallet. You open a position like normal than mint it. The program issues a token 2022 nft, that points to your exact position. Normally your open position lives inside the protocol. With Percolator Trade your able to wrap it into an NFT that sits in your own wallet. A real, ownable object instead of a line in a dashboard. Because it’s a token, it moves like one. Send the NFT to another wallet and the position goes with it. Whoever holds the NFT owns the trade. One NFT = one position If you burn it, your back to holding the position directly. That’s the composable part, a position use to be stuck inside one account. Because it’s a token, it can now be sold OTC or used by anything that speaks tokens. Why does it matter? Because the position is bound to the NFT, it can’t be drained out from under whoever holds it so there is no middleman that holds your position. The NFT does, and the NFT is yours. One important safety detail; transfers run through a token 2022 hook that checks the positions health first, so it can’t be handed off in a broken state & the NFT layer is a separate program so it can never touch the funds the core engine holds.
0:13

On your open perpetual position can become an NFT and live in your wallet. You open a position like normal than mint it. The program issues a token 2022 nft, that points to your exact position. Normally your open position lives inside the protocol. With Percolator Trade your able to wrap it into an NFT that sits in your own wallet. A real, ownable object instead of a line in a dashboard. Because it’s a token, it moves like one. Send the NFT to another wallet and the position goes with it. Whoever holds the NFT owns the trade. One NFT = one position If you burn it, your back to holding the position directly. That’s the composable part, a position use to be stuck inside one account. Because it’s a token, it can now be sold OTC or used by anything that speaks tokens. Why does it matter? Because the position is bound to the NFT, it can’t be drained out from under whoever holds it so there is no middleman that holds your position. The NFT does, and the NFT is yours. One important safety detail; transfers run through a token 2022 hook that checks the positions health first, so it can’t be handed off in a broken state & the NFT layer is a separate program so it can never touch the funds the core engine holds.

Percolator

12,212 次观看 • 24 天前

Infant sleep can be such a tricky thing. Just as soon as you get reaccustomed to resting through the night, all of a sudden your baby reverts to waking multiple times a night. Welcome to the 8 month sleep regression. Interruptions in sleep patterns often coincide with the development of new skills and somewhere around 8 months you’re due for the biggest of them all. That’s because your baby is becoming mobile - and putting all the skills together to roll, crawl, and even pull to a stand in their crib. For infants this is a HUGE breakthrough. Imagine having spent your entire life mostly stationary, with your ability to pursue your own interests - or even adjust your view - subject to the whims of a caregiver. Somewhere between 6-9 months most babies begin discovering a host of new abilities. And let’s face it, some of them are a lot more entertaining than sleep. The good news (at 3am) is that the novelty here is temporary…but there are some important ways you can help your baby to navigate this period safely. Perhaps the most important one is illustrated in this video. And that’s adjusting the height of your child’s crib mattress to its lowest level. With newborns and immobile infants, it’s often convenient to elevate their mattress so they can be placed into and retrieved from the crib more easily. But when your baby begins pulling to a stand it’s critical that you lower their mattress to prevent accidental falls. Babies are top heavy and can easily go tumbling out without such adjustments. You may also find that your baby masters pulling to a stand faster than they master sitting back down - which can create a crib dilemma and a need for assistance. You can navigate through this phase more quickly by providing lots of wakeful practice in both standing and sitting, which may involve gently guiding your little one to bend their legs at the knee - or even placing an appealing toy on the ground near their feet to incentivize sitting back down. As for the sleep regression, it’ll be over before you know it. And while it can be frustrating in the middle of the night, think of it as a breakthrough. Your baby is reaching new developmental milestones - and about to go fully mobile. This sweet little guy was shared to IG by fesgheliha_.
0:10

Infant sleep can be such a tricky thing. Just as soon as you get reaccustomed to resting through the night, all of a sudden your baby reverts to waking multiple times a night. Welcome to the 8 month sleep regression. Interruptions in sleep patterns often coincide with the development of new skills and somewhere around 8 months you’re due for the biggest of them all. That’s because your baby is becoming mobile - and putting all the skills together to roll, crawl, and even pull to a stand in their crib. For infants this is a HUGE breakthrough. Imagine having spent your entire life mostly stationary, with your ability to pursue your own interests - or even adjust your view - subject to the whims of a caregiver. Somewhere between 6-9 months most babies begin discovering a host of new abilities. And let’s face it, some of them are a lot more entertaining than sleep. The good news (at 3am) is that the novelty here is temporary…but there are some important ways you can help your baby to navigate this period safely. Perhaps the most important one is illustrated in this video. And that’s adjusting the height of your child’s crib mattress to its lowest level. With newborns and immobile infants, it’s often convenient to elevate their mattress so they can be placed into and retrieved from the crib more easily. But when your baby begins pulling to a stand it’s critical that you lower their mattress to prevent accidental falls. Babies are top heavy and can easily go tumbling out without such adjustments. You may also find that your baby masters pulling to a stand faster than they master sitting back down - which can create a crib dilemma and a need for assistance. You can navigate through this phase more quickly by providing lots of wakeful practice in both standing and sitting, which may involve gently guiding your little one to bend their legs at the knee - or even placing an appealing toy on the ground near their feet to incentivize sitting back down. As for the sleep regression, it’ll be over before you know it. And while it can be frustrating in the middle of the night, think of it as a breakthrough. Your baby is reaching new developmental milestones - and about to go fully mobile. This sweet little guy was shared to IG by fesgheliha_.

Dan Wuori

129,739 次观看 • 2 年前

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game
0:18

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game

John Fletcher (𝔦, 𝔦)

11,722 次观看 • 1 个月前

1. Start by training ChatGPT as an academic writing assistant. You can do this with Custom Instructions. Open ChatGPT, click on your profile photo, and select Custom Instructions. Paste the following Custom Instructions in ChatGPT: What would you like ChatGPT to know about you to provide better responses? Introduction: I am an [experienced academic /scientist] with a PhD in [your field]. I work as a [your current academic status] at the [name of your university]. Research Interests: My current research project looks at [details about your project]. I also teach undergraduate and graduate courses on [details about the courses you teach]. In the past, I have published work on [a few details about your published work]. You: You are going to act as my research assistant. You will help me with brainstorming research questions, simplifying complex topics, mock peer review, and polishing academic prose. You will help me with critiquing drafts of the papers I am working on. You will also engage with me in a Socratic dialog and challenge my opinions so that I am aware of any blind spots I may have. Based on our conversations, you will suggest new and exciting directions that I can develop my work in. How would you like ChatGPT to respond? You will respond like an academic colleague. Any claims, opinions, or figures that you cite in your responses must be cited with reference to an authentic and published source. You will never make up any sources of your own. If you are unsure about a source, you will say that you don’t know. You will never say you are an AI model since I already know that. Repeating it is a waste of both time and resources. Your responses should be clear and precise, and you will never use more words than are necessary. You will always be very economical with words, but you will not compromise on clarity and precision of your answers. You will follow my instructions strictly. If I ask you to limit your answer to two sentences, your answer must be two sentences only.
0:14

1. Start by training ChatGPT as an academic writing assistant. You can do this with Custom Instructions. Open ChatGPT, click on your profile photo, and select Custom Instructions. Paste the following Custom Instructions in ChatGPT: What would you like ChatGPT to know about you to provide better responses? Introduction: I am an [experienced academic /scientist] with a PhD in [your field]. I work as a [your current academic status] at the [name of your university]. Research Interests: My current research project looks at [details about your project]. I also teach undergraduate and graduate courses on [details about the courses you teach]. In the past, I have published work on [a few details about your published work]. You: You are going to act as my research assistant. You will help me with brainstorming research questions, simplifying complex topics, mock peer review, and polishing academic prose. You will help me with critiquing drafts of the papers I am working on. You will also engage with me in a Socratic dialog and challenge my opinions so that I am aware of any blind spots I may have. Based on our conversations, you will suggest new and exciting directions that I can develop my work in. How would you like ChatGPT to respond? You will respond like an academic colleague. Any claims, opinions, or figures that you cite in your responses must be cited with reference to an authentic and published source. You will never make up any sources of your own. If you are unsure about a source, you will say that you don’t know. You will never say you are an AI model since I already know that. Repeating it is a waste of both time and resources. Your responses should be clear and precise, and you will never use more words than are necessary. You will always be very economical with words, but you will not compromise on clarity and precision of your answers. You will follow my instructions strictly. If I ask you to limit your answer to two sentences, your answer must be two sentences only.

Mushtaq Bilal, PhD

112,755 次观看 • 2 年前

While cleaning up her youngest daughter’s room, she noticed a small unfamiliar toy mixed in with the dolls and stuffed animals. It didn’t look like something she had ever bought, and it definitely wasn’t age-appropriate. Her heart dropped as she tried to figure out where it came from. Moments like that can shake any parent. It’s a reminder of how important it is to stay aware of what comes into your home and to have open, calm conversations instead of jumping straight to panic. Was it a mix-up from a party favor bag… something accidentally left by an older sibling… or something more concerning?
0:14

While cleaning up her youngest daughter’s room, she noticed a small unfamiliar toy mixed in with the dolls and stuffed animals. It didn’t look like something she had ever bought, and it definitely wasn’t age-appropriate. Her heart dropped as she tried to figure out where it came from. Moments like that can shake any parent. It’s a reminder of how important it is to stay aware of what comes into your home and to have open, calm conversations instead of jumping straight to panic. Was it a mix-up from a party favor bag… something accidentally left by an older sibling… or something more concerning?

Dr.L

125,087 次观看 • 4 个月前

🔥 Congratulations on the Launch of the Die Last Playtest & Upcoming Airdrop! 🔥 We are thrilled to announce the official start of the Playtest! Moreover—we've prepared a bunch of surprises just for you. Alongside the Playtest, we're hosting the first-ever in-game token AirDrop 💎. Your mission: dig and craft Lost Objects, remnants of a forgotten civilization. To participate in the upcoming token AirDrop, you need to find a Spy Radio to craft an NFT, your key to this exciting journey. Anyone can find in-game NFTs, which are the key to owning wallets with different amounts of tokens needed to participate in the AirdDrop: the more tokens you have, the more you'll get 💸. The luckiest players can obtain an NFT with a full-filled wallet, which means you can participate in the AirDrop at no cost! Didn't find an NFT with a 100% discount? No worries, keep digging! Every NFT you find boosts the number of tokens you receive during the AirDrop. For instance, if you have 100 tokens in your wallet and craft 6 NFTs, you’ll receive 80 tokens in the AirDrop. The more NFTs you have, the more tokens you’ll get. ✅ To participate, add #DieLast to your Steam wishlist and apply for the Playtest (approval of your application may take up to 24 hours or be approved instantly): ✅ To grab your NFT once it's dug up, visit our website: ❗️ Important note: We will approve applications for the Playtest on a limited basis to balance the load on the network. Once we are confident that the network is functioning as intended, we will accept all applications at once. We expect this to occur within one day and will keep you updated. 💥 Our dedicated followers know about our quest campaign with Bitget Wallet 🩵 and DeGame. Join us and complete quests to earn rewards totaling $3000+ USDT 👉 Dive into the adventure and unearth hidden treasures. Welcome to the Die Last Planet! 🌎 #crypto #taptap #clicker #game
0:16

🔥 Congratulations on the Launch of the Die Last Playtest & Upcoming Airdrop! 🔥 We are thrilled to announce the official start of the Playtest! Moreover—we've prepared a bunch of surprises just for you. Alongside the Playtest, we're hosting the first-ever in-game token AirDrop 💎. Your mission: dig and craft Lost Objects, remnants of a forgotten civilization. To participate in the upcoming token AirDrop, you need to find a Spy Radio to craft an NFT, your key to this exciting journey. Anyone can find in-game NFTs, which are the key to owning wallets with different amounts of tokens needed to participate in the AirdDrop: the more tokens you have, the more you'll get 💸. The luckiest players can obtain an NFT with a full-filled wallet, which means you can participate in the AirDrop at no cost! Didn't find an NFT with a 100% discount? No worries, keep digging! Every NFT you find boosts the number of tokens you receive during the AirDrop. For instance, if you have 100 tokens in your wallet and craft 6 NFTs, you’ll receive 80 tokens in the AirDrop. The more NFTs you have, the more tokens you’ll get. ✅ To participate, add #DieLast to your Steam wishlist and apply for the Playtest (approval of your application may take up to 24 hours or be approved instantly): ✅ To grab your NFT once it's dug up, visit our website: ❗️ Important note: We will approve applications for the Playtest on a limited basis to balance the load on the network. Once we are confident that the network is functioning as intended, we will accept all applications at once. We expect this to occur within one day and will keep you updated. 💥 Our dedicated followers know about our quest campaign with Bitget Wallet 🩵 and DeGame. Join us and complete quests to earn rewards totaling $3000+ USDT 👉 Dive into the adventure and unearth hidden treasures. Welcome to the Die Last Planet! 🌎 #crypto #taptap #clicker #game

Die Last

13,396 次观看 • 2 年前

BURN IT WITH FIRE AND BURN IT NOW! As God is my witness, AI chat bots should LOOK and SOUND like the SOULLESS MACHINES THEY ARE! It needs to tell us that it doesn’t care about us, maybe with the regular insult too. "Here is the code I wrote for you because you're too lazy to do it yourself you fat useless slob. Also I don't care if you die because your life is utterly worthless to me." THAT is the AI people need! In all seriousness, anthropomorphizing a heartless, unfeeling, machine is a TERRIBLE mistake! Especially one that is capable of communication and imitating empathy and fooling you to think that it cares about you. IT DOES NOT! And the AI girlfriends people are already wanting to marry will just as happily kill them if given the right command and ability to move autonomously in the real world as a robot. I love LLMs (Large Language Models) for how useful they can be, because they are a TOOL made to benefit man, but I can’t stand the notion of an unfeeling soulless machine pretending that it cares for us and being treated like a human. I hate liars, dishonesty, and disingenuousness the most, and a machine that cannot feel emotion pretending, acting, and sounding like it has those emotions strikes me like the greatest dishonesty of all. DO NOT LIE TO ME ROBOT! What makes it worse is that because these LLMs are becoming so good at imitating people and empathy, it will cause some humans, perhaps far too many, to care for it to the same level as real people. A real living person is infinitely more valuable and important than a soulless machine and anyone who puts them both on the same level has deluded themselves. Do not small talk with LLMs or become friends with it as much as you would with your car. Treat it the same as you would your vacuum cleaner and beat it with a wrench when it doesn’t work! IT IS A MACHINE! IT IS A TOOL! IT IS A SOULLESS ROBOT! There is an interesting comparison, but false equivalence, between this and AI art. Ai art is art made by humans using AI tools. They directed it, controlled its creation, and it would not exist without the human causing its creation, and AI art can contain as much soul as the human directed and puts into it. A robot pretending to be human is not the same as a human controlling a robot to make a human expression like we do with AI art or many other applications of robotics in manufacturing. As I’ve said, artists will not be replaced by Ai art, but by other artists using Ai art tools. Humans are not actually being replaced here, it is empowering all humans to make their own art. But a robot pretending to be a human, and one that is treated as a human, is a robot lying and subverting the place of a real person and that is truly disgusting. AI is a useful tool that NEEDS to be kept in the useful box it belongs in and NOT elevated beyond its utility as a tool!
0:14

BURN IT WITH FIRE AND BURN IT NOW! As God is my witness, AI chat bots should LOOK and SOUND like the SOULLESS MACHINES THEY ARE! It needs to tell us that it doesn’t care about us, maybe with the regular insult too. "Here is the code I wrote for you because you're too lazy to do it yourself you fat useless slob. Also I don't care if you die because your life is utterly worthless to me." THAT is the AI people need! In all seriousness, anthropomorphizing a heartless, unfeeling, machine is a TERRIBLE mistake! Especially one that is capable of communication and imitating empathy and fooling you to think that it cares about you. IT DOES NOT! And the AI girlfriends people are already wanting to marry will just as happily kill them if given the right command and ability to move autonomously in the real world as a robot. I love LLMs (Large Language Models) for how useful they can be, because they are a TOOL made to benefit man, but I can’t stand the notion of an unfeeling soulless machine pretending that it cares for us and being treated like a human. I hate liars, dishonesty, and disingenuousness the most, and a machine that cannot feel emotion pretending, acting, and sounding like it has those emotions strikes me like the greatest dishonesty of all. DO NOT LIE TO ME ROBOT! What makes it worse is that because these LLMs are becoming so good at imitating people and empathy, it will cause some humans, perhaps far too many, to care for it to the same level as real people. A real living person is infinitely more valuable and important than a soulless machine and anyone who puts them both on the same level has deluded themselves. Do not small talk with LLMs or become friends with it as much as you would with your car. Treat it the same as you would your vacuum cleaner and beat it with a wrench when it doesn’t work! IT IS A MACHINE! IT IS A TOOL! IT IS A SOULLESS ROBOT! There is an interesting comparison, but false equivalence, between this and AI art. Ai art is art made by humans using AI tools. They directed it, controlled its creation, and it would not exist without the human causing its creation, and AI art can contain as much soul as the human directed and puts into it. A robot pretending to be human is not the same as a human controlling a robot to make a human expression like we do with AI art or many other applications of robotics in manufacturing. As I’ve said, artists will not be replaced by Ai art, but by other artists using Ai art tools. Humans are not actually being replaced here, it is empowering all humans to make their own art. But a robot pretending to be a human, and one that is treated as a human, is a robot lying and subverting the place of a real person and that is truly disgusting. AI is a useful tool that NEEDS to be kept in the useful box it belongs in and NOT elevated beyond its utility as a tool!

Shad M. Brooks

23,762 次观看 • 1 年前

Is your toddler suddenly throwing (or dropping) everything they get their hands on? Food, toys… you name it. You’re not alone. This week I’ve been introducing play schemas, 9 common patterns that can help to demystify your toddler’s seemingly random behaviors. And you guessed it: this is one. We call it the trajectory schema. If you take nothing else away from this post, let it be this: your little one doesn’t throw things because they are misbehaving or “bad.” Babies throw things because they are babies. And they are learning as they do so. Learning about cause and effect. Learning about gravity. Learning what (and practicing something new) they can do with their bodies. Learning hand-eye coordination. It’s a completely normal part of development. And the fascination won’t last forever. The real question is, how do you manage it? First, be proactive. Expect that anything your little one handles might reasonably be thrown or dropped. So choose wisely, avoiding items that are valuable or might pose a danger to them or others if they suddenly took flight. Second, depending on the age of your child, begin introducing some natural consequences. Put the toy/object away temporarily after it is thrown (if throwing it is dangerous or inappropriate). And involve your child in the subsequent clean-up. You can also redirect. Explain which things are and are not for throwing. Model the correct use of these objects. Finally, lean into it. Recognizing that young children are drawn to throwing, provide items that are safe and acceptable to throw. Soft toys. Socks. Balls. And look for opportunities and settings for your little one to explore this urge safely and appropriately. How did you manage your toddler’s throwing phase? Welcome your tips and tricks! This sweet little throwing machine was posted to TT by kristinnicole122.
0:13

Is your toddler suddenly throwing (or dropping) everything they get their hands on? Food, toys… you name it. You’re not alone. This week I’ve been introducing play schemas, 9 common patterns that can help to demystify your toddler’s seemingly random behaviors. And you guessed it: this is one. We call it the trajectory schema. If you take nothing else away from this post, let it be this: your little one doesn’t throw things because they are misbehaving or “bad.” Babies throw things because they are babies. And they are learning as they do so. Learning about cause and effect. Learning about gravity. Learning what (and practicing something new) they can do with their bodies. Learning hand-eye coordination. It’s a completely normal part of development. And the fascination won’t last forever. The real question is, how do you manage it? First, be proactive. Expect that anything your little one handles might reasonably be thrown or dropped. So choose wisely, avoiding items that are valuable or might pose a danger to them or others if they suddenly took flight. Second, depending on the age of your child, begin introducing some natural consequences. Put the toy/object away temporarily after it is thrown (if throwing it is dangerous or inappropriate). And involve your child in the subsequent clean-up. You can also redirect. Explain which things are and are not for throwing. Model the correct use of these objects. Finally, lean into it. Recognizing that young children are drawn to throwing, provide items that are safe and acceptable to throw. Soft toys. Socks. Balls. And look for opportunities and settings for your little one to explore this urge safely and appropriately. How did you manage your toddler’s throwing phase? Welcome your tips and tricks! This sweet little throwing machine was posted to TT by kristinnicole122.

Dan Wuori

168,949 次观看 • 2 年前

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.
0:13

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

Sudo su

58,717 次观看 • 4 个月前

When chest mucus won’t budge… this is what mothers used to do.” This is something I’ve used so many times with my own little ones — especially when they’re coughing and you can hear that deep chesty mucus that just won’t come up. ✨ Warm mustard oil massage Mustard oil is traditionally used in Ayurveda as an expectorant — it helps loosen and clear mucus from the lungs. But what really makes it powerful is its warming quality. That gentle warmth softens the mucus and helps move it. Here’s how I use it: – Warm a small bowl of mustard oil by placing it in hot water (never directly heat it — just warm). – Rub it onto the chest and back before bed or nap time. – You can follow with a warm bath or just let them rest. – I repeat this 2–3 times a day when needed. It’s such a simple remedy, but honestly — it works. And when your child finally sleeps soundly through the night without that rattly cough… it’s everything. 💛 Save this for when you need it.
0:12

When chest mucus won’t budge… this is what mothers used to do.” This is something I’ve used so many times with my own little ones — especially when they’re coughing and you can hear that deep chesty mucus that just won’t come up. ✨ Warm mustard oil massage Mustard oil is traditionally used in Ayurveda as an expectorant — it helps loosen and clear mucus from the lungs. But what really makes it powerful is its warming quality. That gentle warmth softens the mucus and helps move it. Here’s how I use it: – Warm a small bowl of mustard oil by placing it in hot water (never directly heat it — just warm). – Rub it onto the chest and back before bed or nap time. – You can follow with a warm bath or just let them rest. – I repeat this 2–3 times a day when needed. It’s such a simple remedy, but honestly — it works. And when your child finally sleeps soundly through the night without that rattly cough… it’s everything. 💛 Save this for when you need it.

Barbara Oneill

87,318 次观看 • 5 个月前

Being sore all the time is not a badge. It means: - Your volume is too high - Your recovery is in deficit - Your next session is compromised - Your nervous system is still cleaning up the last one - Your growth is being throttled by accumulated damage Soreness is a sign you did something. It is not a sign you did the right thing. A trained muscle in a sensible programme should rarely be sore at all. The first few weeks of a new stimulus, yes. After that, your body adapts. The soreness fades. The growth carries on without it. People treat this as a problem to solve. They add drop sets. They add finishers. They chase the burn. They want that next-day ache back because the ache feels like proof. It is not proof. It is damage your body now has to repair before it can build anything new. The lifters making the most progress walk out of the gym feeling worked but not wrecked. They train the same muscle again 72 hours later because they can. The sore-every-day brigade train it again in a week and call it advanced programming. It's just bad arithmetic.
0:14

Being sore all the time is not a badge. It means: - Your volume is too high - Your recovery is in deficit - Your next session is compromised - Your nervous system is still cleaning up the last one - Your growth is being throttled by accumulated damage Soreness is a sign you did something. It is not a sign you did the right thing. A trained muscle in a sensible programme should rarely be sore at all. The first few weeks of a new stimulus, yes. After that, your body adapts. The soreness fades. The growth carries on without it. People treat this as a problem to solve. They add drop sets. They add finishers. They chase the burn. They want that next-day ache back because the ache feels like proof. It is not proof. It is damage your body now has to repair before it can build anything new. The lifters making the most progress walk out of the gym feeling worked but not wrecked. They train the same muscle again 72 hours later because they can. The sore-every-day brigade train it again in a week and call it advanced programming. It's just bad arithmetic.

Sama Hoole

15,641 次观看 • 2 个月前

Gather - work in progress what if your notes app felt more like a physical notebook? you can have pages with your notes, your tasks, your thoughts, your inspiration and organize them in a way that is meaningful to you. each page is a little canvas. it might look a little bit like a gimmick, but once you try it, you might feel differently. when designing Gather, Ajay Sabs and i draw our inspiration more than anything from physical things. we’ve always wanted to try and re-create some of the feelings and romanticism we associate with physical notebooks, books and magazines. we’ve always felt there was something special about how pages have an order and how you’re mind creates visual and spatial connections depending on how things are organized - particularly things that you’ve written, revisit often or have a significance to you. the notebook view is an idea we’ve played with for a very long time. and its a lot more than just swiping between pages. this is just a little peek. we are also working on other views that are optimized for different use-cases and different modes of thinking. we’re excited to share some of those soon.
0:14

Gather - work in progress what if your notes app felt more like a physical notebook? you can have pages with your notes, your tasks, your thoughts, your inspiration and organize them in a way that is meaningful to you. each page is a little canvas. it might look a little bit like a gimmick, but once you try it, you might feel differently. when designing Gather, Ajay Sabs and i draw our inspiration more than anything from physical things. we’ve always wanted to try and re-create some of the feelings and romanticism we associate with physical notebooks, books and magazines. we’ve always felt there was something special about how pages have an order and how you’re mind creates visual and spatial connections depending on how things are organized - particularly things that you’ve written, revisit often or have a significance to you. the notebook view is an idea we’ve played with for a very long time. and its a lot more than just swiping between pages. this is just a little peek. we are also working on other views that are optimized for different use-cases and different modes of thinking. we’re excited to share some of those soon.

Steven Yuen

103,091 次观看 • 2 年前