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Axis Robotics Point System - Free Airdrop Guide: Axis Robotics {Robotics Sector} Currently, I think this is the one of the free airdrop you should focus on because: - Raised $12M (led by Hack VC) - Building on AI + Robotics (robotics could be the next hot sector after...

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Abhi.eth

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20,209 Aufrufe • vor 12 Tagen •via X (Twitter)

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I’ve completed all the tasks on Axis Robotics I Made a Video Showing How to Complete Axis Robotics Tasks Easily! Many people are getting stuck while completing Axis Robotics tasks, and some of you asked me to make a detailed video So I made a step-by-step video showing the easiest way to complete the tasks If you haven’t started yet, you can still join early. The project has already raised around $12M, and the Points System is now LIVE 🔗 > Create / log in to your account > Go to Training Tasks > Complete the available tasks > Submit your work properly > Sign your completed tasks > Keep completing different tasks to build your Points Points depend on more than just activity: - Task difficulty - Number of valid tasks - Quality of your submissions - Diversity of tasks - Genuine referrals Don’t keep repeating the same task, Focus on completing different and higher-quality tasks If you’re new to Axis, I recommend starting early and learning the process now instead of waiting until more users join I explained the full process in my video so you can follow it easily Who’s already farming Axis Points?
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I’ve completed all the tasks on Axis Robotics I Made a Video Showing How to Complete Axis Robotics Tasks Easily! Many people are getting stuck while completing Axis Robotics tasks, and some of you asked me to make a detailed video So I made a step-by-step video showing the easiest way to complete the tasks If you haven’t started yet, you can still join early. The project has already raised around $12M, and the Points System is now LIVE 🔗 > Create / log in to your account > Go to Training Tasks > Complete the available tasks > Submit your work properly > Sign your completed tasks > Keep completing different tasks to build your Points Points depend on more than just activity: - Task difficulty - Number of valid tasks - Quality of your submissions - Diversity of tasks - Genuine referrals Don’t keep repeating the same task, Focus on completing different and higher-quality tasks If you’re new to Axis, I recommend starting early and learning the process now instead of waiting until more users join I explained the full process in my video so you can follow it easily Who’s already farming Axis Points?

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🌟Full Guide to Forte Protocol Airdrop Tasks 🪂 💰Cost: $0 💵Funding: $910M 💲Rewards: Expected I'm sharing all available tasks on ForteProtocol to position for the airdrop. Steps: 1⃣Galxe Quest-1: 🔗 ✅Complete all tasks ✅Claim Points 2⃣Galxe Quest-2: 🔗 ✅Complete all tasks ✅Claim Points 3⃣Galxe Quest-3: 🔗 ✅Complete all tasks ✅Claim Points 4⃣Galxe Quest-4: 🔗 ✅Complete all tasks ✅Claim Points ✅Done 🔗 - Join Discord and wait for roles to go live - Grab role once available - Will update when roles are claimable Follow and turn on notifications for updates 🤍Like 🔁Retweet
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🌟Full Guide to Forte Protocol Airdrop Tasks 🪂 💰Cost: $0 💵Funding: $910M 💲Rewards: Expected I'm sharing all available tasks on ForteProtocol to position for the airdrop. Steps: 1⃣Galxe Quest-1: 🔗 ✅Complete all tasks ✅Claim Points 2⃣Galxe Quest-2: 🔗 ✅Complete all tasks ✅Claim Points 3⃣Galxe Quest-3: 🔗 ✅Complete all tasks ✅Claim Points 4⃣Galxe Quest-4: 🔗 ✅Complete all tasks ✅Claim Points ✅Done 🔗 - Join Discord and wait for roles to go live - Grab role once available - Will update when roles are claimable Follow and turn on notifications for updates 🤍Like 🔁Retweet

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🚨 The best Airdrop of 2026 is already live and you can start farming it TODAY. Head over to complete tasks, earn points, and climb the leaderboard. The X2 bonus is ON for a limited time! Don’t miss this chance. #Airdrop #Crypto
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🚨 The best Airdrop of 2026 is already live and you can start farming it TODAY. Head over to complete tasks, earn points, and climb the leaderboard. The X2 bonus is ON for a limited time! Don’t miss this chance. #Airdrop #Crypto

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🌟Simple guide to DAC | Quantum Chain L1 Testnet 🪂 💰Cost: $0 💵Rewards: Confirmed DAC is a quantum-proof L1 chain built for RWA, DeFi, AI, and secure data validation Steps: 🔗 ✅ Connect MetaMask wallet ✅ Add DAC network to wallet ✅ Claim Gold early badge ( 4 days left ) ✅ Click on Faucet ✅ Claim DACC faucet ✅ You can claim faucet once every 8 hrs ✅ It might take time to receive tokens in your wallet ✅ Click Home ✅ Click View all tasks ✅ Click Social and complete tasks ✅ It may take an hour to receive confirmation mail ✅ ✅ Join Discord ✅ Verify on social tasks page ✅ Complete all the remaining tasks ✅ It will automatically verify after a few minutes ✅ Click on My Activity ✅ Click On-chain ✅ Complete on-chain tasks ✅ Completing these tasks requires DACC tokens ✅ Complete tasks after you get DACC tokens in your wallet ✅ Claim Badges ✅ Claim all the badges by completing tasks ✅ Click on Quantum Crate ✅ You can open crates 5/day ✅ Each crate costs 150 QE ✅ Crates contain DACC, QE, Multipliers ✅ Click on QE Pool ✅ You can earn 1000 QE for burning 1 DACC ✅ Or you can stake DACC and earn QE rewards ✅ Done Keep stacking QE by completing daily check-ins, tasks, and claim badges whenever they are available That's all for now and will update if new tasks or updates appear Follow and turn on notifications for updates 🤍Like 🔁Retweet
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🌟Simple guide to DAC | Quantum Chain L1 Testnet 🪂 💰Cost: $0 💵Rewards: Confirmed DAC is a quantum-proof L1 chain built for RWA, DeFi, AI, and secure data validation Steps: 🔗 ✅ Connect MetaMask wallet ✅ Add DAC network to wallet ✅ Claim Gold early badge ( 4 days left ) ✅ Click on Faucet ✅ Claim DACC faucet ✅ You can claim faucet once every 8 hrs ✅ It might take time to receive tokens in your wallet ✅ Click Home ✅ Click View all tasks ✅ Click Social and complete tasks ✅ It may take an hour to receive confirmation mail ✅ ✅ Join Discord ✅ Verify on social tasks page ✅ Complete all the remaining tasks ✅ It will automatically verify after a few minutes ✅ Click on My Activity ✅ Click On-chain ✅ Complete on-chain tasks ✅ Completing these tasks requires DACC tokens ✅ Complete tasks after you get DACC tokens in your wallet ✅ Claim Badges ✅ Claim all the badges by completing tasks ✅ Click on Quantum Crate ✅ You can open crates 5/day ✅ Each crate costs 150 QE ✅ Crates contain DACC, QE, Multipliers ✅ Click on QE Pool ✅ You can earn 1000 QE for burning 1 DACC ✅ Or you can stake DACC and earn QE rewards ✅ Done Keep stacking QE by completing daily check-ins, tasks, and claim badges whenever they are available That's all for now and will update if new tasks or updates appear Follow and turn on notifications for updates 🤍Like 🔁Retweet

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🌋A Mega thread on Axis Robotics Hub & Tasks 💰Funding - $12M 💯FREE 🆕Axis is building the data engine powering the next generation of Physical AI ✅Their activity hub is live ✅Join & complete task to climb leaderboard 👇Steps 🔗 ✅Login with email ✅Watch tutorial ✅Scroll to see available task ✅Select a task ⚠️First time u will land in cubes loading page, wait 5min ✅Ur robot will load 🎮Check the controls on left ✅Check the task description ✅Example put apple in bowl ✅Now use controls to operate robot ✅Complete the task ✅U will get success msg if u complete it ⚠️It feels difficult at start, keep trying to get used to ✅Everyone can complete the public tasks 🤖Currently 18 public tasks available 😉There is special task list 🎟️U need code to access those tasks 👇Steps ✅Go to Alliance tab ✅Select any BitRobot task ✅It will ask code, u can input the code if u have ✅There r 300+ tasks under this 😉I have few codes I will plan something 👇3 codes FCFS BITROBOT-165D3C51 BITROBOT-CCF4F7C1 BITROBOT-C980F7FB 😉Rest I will plan 👇Other ways to earn code 🔗 ✅Join Discord ✅Understand roles & how to earn ✅Earn one of the role from X, Y or Z ✅U get access code with this role 🤏Only few users have this roles 🥉X Axis - 524 users 🥈Y Axis - 150 🥇Z Axis - 42 🏆Leaderboard is based on Avg score & number task u completed 💙Like 🔁RT
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🌋A Mega thread on Axis Robotics Hub & Tasks 💰Funding - $12M 💯FREE 🆕Axis is building the data engine powering the next generation of Physical AI ✅Their activity hub is live ✅Join & complete task to climb leaderboard 👇Steps 🔗 ✅Login with email ✅Watch tutorial ✅Scroll to see available task ✅Select a task ⚠️First time u will land in cubes loading page, wait 5min ✅Ur robot will load 🎮Check the controls on left ✅Check the task description ✅Example put apple in bowl ✅Now use controls to operate robot ✅Complete the task ✅U will get success msg if u complete it ⚠️It feels difficult at start, keep trying to get used to ✅Everyone can complete the public tasks 🤖Currently 18 public tasks available 😉There is special task list 🎟️U need code to access those tasks 👇Steps ✅Go to Alliance tab ✅Select any BitRobot task ✅It will ask code, u can input the code if u have ✅There r 300+ tasks under this 😉I have few codes I will plan something 👇3 codes FCFS BITROBOT-165D3C51 BITROBOT-CCF4F7C1 BITROBOT-C980F7FB 😉Rest I will plan 👇Other ways to earn code 🔗 ✅Join Discord ✅Understand roles & how to earn ✅Earn one of the role from X, Y or Z ✅U get access code with this role 🤏Only few users have this roles 🥉X Axis - 524 users 🥈Y Axis - 150 🥇Z Axis - 42 🏆Leaderboard is based on Avg score & number task u completed 💙Like 🔁RT

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Gm. We're excited to announce that Kled has just entered into an agreement scoped at up to $2.2 million to roll out 80+ egocentric special tasks for user data. All new special tasks will be found on the special tasks tab of the mobile app. 30 hours after removing the waitlist and launching V2 we broke a record for active users uploading on Kled. This wouldn’t have been possible without you. Our network is only as valuable as the people who contribute to it. We love you all.

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"Humanoid robotics will advance very quickly We do have some of the Tesla Optimus robots doing simple tasks in the factory. Probably later this year... by the end of this year, I think they'll be doing more complex tasks But still deployed in an industrial environment. And probably sometime next year... I'd say that by the end of next year, I think we'd be selling humanoid robots to the public That's when we are confident that it's very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything" - Elon Musk
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"Humanoid robotics will advance very quickly We do have some of the Tesla Optimus robots doing simple tasks in the factory. Probably later this year... by the end of this year, I think they'll be doing more complex tasks But still deployed in an industrial environment. And probably sometime next year... I'd say that by the end of next year, I think we'd be selling humanoid robots to the public That's when we are confident that it's very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything" - Elon Musk

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ELON MUSK: "Humanoid robotics will advance very quickly. We do have Tesla Optimus robots doing simple tasks in the factory, and later this year, they'll be doing more complex tasks. We would be selling humanoid robots to the public, when we are confident that there is very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything you'd like."
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ELON MUSK: "Humanoid robotics will advance very quickly. We do have Tesla Optimus robots doing simple tasks in the factory, and later this year, they'll be doing more complex tasks. We would be selling humanoid robots to the public, when we are confident that there is very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything you'd like."

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I just advanced to level 9 in the #RockyRabbit app, reaching the Zenith Tournament. Whoever is at any tournament level, feel free to post your screenshot in the comments. You can also drop your referral link. I’ve been logging in every day for over 2 months now, completing tasks. The listing will happen on September 23rd. Until then, don’t forget to complete tasks for the airdrop. We’re going to make some good money from this airdrop🎁 Join: #tapswap #tapswapcode #memefi
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I just advanced to level 9 in the #RockyRabbit app, reaching the Zenith Tournament. Whoever is at any tournament level, feel free to post your screenshot in the comments. You can also drop your referral link. I’ve been logging in every day for over 2 months now, completing tasks. The listing will happen on September 23rd. Until then, don’t forget to complete tasks for the airdrop. We’re going to make some good money from this airdrop🎁 Join: #tapswap #tapswapcode #memefi

benjamin

27,550 Aufrufe • vor 1 Jahr

Elon Musk: Tesla will probably start selling Optimus robots to the public by the end of next year. “Humanoid robotics will advance very quickly, I think. We do have some of the Tesla Optimus robots doing simple tasks in the factory. By the end of this year I think they'll be doing more complex tasks, but still deployed in an industrial environment. And probably by the end of next year we'd be selling humanoid robots to the public. That's when we are confident that it's very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything you'd like.” Source: Interview at WEF, January 22, 2026
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Elon Musk: Tesla will probably start selling Optimus robots to the public by the end of next year. “Humanoid robotics will advance very quickly, I think. We do have some of the Tesla Optimus robots doing simple tasks in the factory. By the end of this year I think they'll be doing more complex tasks, but still deployed in an industrial environment. And probably by the end of next year we'd be selling humanoid robots to the public. That's when we are confident that it's very high reliability, very high safety, and the range of functionality is also very high. You can basically ask it to do anything you'd like.” Source: Interview at WEF, January 22, 2026

ELON CLIPS

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A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes *less* efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)
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A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes *less* efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)

Chubby♨️

15,228 Aufrufe • vor 8 Monaten

AI is not replacing jobs. There is a fundamental difference between a collection of tasks & a job. Job = U { Tasks, Judgment, Relationships, Context, Ownership} Few jobs are truly at risk of replacement by AI - these involve more deterministic IO (Input Output) execution e.g. data entry, QA, CS etc. Most jobs are resilient because: (1) Human principals (business owners) always seek to assign responsibility & blame to a human agent. (2) Deals get done not because of outbound spam but because of years of nurturing a relationship (showing up at conferences, events, meet-ups) (3) The physical world is messy AF. Humans read non-verbal & subtle cues which are only possible via in-person interactions. The midwits are right - AI is taking over tasks. In fact, if AI hasn’t taken over tasks for you then you’re doing something very wrong. If tasks are automated & workflows are changing, jobs won’t be lost. In fact, to manage the messy transition, humans will be more in demand than ever before. The data from Foundation Labs itself points to this (watch to the end of this rant)
13:08

AI is not replacing jobs. There is a fundamental difference between a collection of tasks & a job. Job = U { Tasks, Judgment, Relationships, Context, Ownership} Few jobs are truly at risk of replacement by AI - these involve more deterministic IO (Input Output) execution e.g. data entry, QA, CS etc. Most jobs are resilient because: (1) Human principals (business owners) always seek to assign responsibility & blame to a human agent. (2) Deals get done not because of outbound spam but because of years of nurturing a relationship (showing up at conferences, events, meet-ups) (3) The physical world is messy AF. Humans read non-verbal & subtle cues which are only possible via in-person interactions. The midwits are right - AI is taking over tasks. In fact, if AI hasn’t taken over tasks for you then you’re doing something very wrong. If tasks are automated & workflows are changing, jobs won’t be lost. In fact, to manage the messy transition, humans will be more in demand than ever before. The data from Foundation Labs itself points to this (watch to the end of this rant)

Rahul Mathur

10,664 Aufrufe • vor 2 Monaten

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🗣️As a single administrator I’ve had to really work on how I prioritized all of my weekly tasks. My priority matrix helps me so much! I write down all of the tasks that need to be done for the week and then I categorize them in 4 quadrants. ❗️Important, Not Urgent ‼️Important, Urgent ❌Not Important, Not Urgent ⏰Not Important, Urgent This system really helps me “Prioritize the Chaos”. And this can be applied to anyone!! We all have tasks that can overwhelm us, let me help you! Interested??

Dr. Ryan Daniel

60,492 Aufrufe • vor 3 Jahren

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If you do nothing else today, do yourself this one huge favor: turn on the Codex Chrome extension. It's surprisingly fast, but the speed is not the point. The point is, if you're a knowledge worker, you can have Codex perform routine browser tasks for you. It frees you to do higher value work. I've used it every day at work. There's no reason a human should have to spend their time manually manipulating a browser for routine tasks. Your job is to be a human being and create. Let Codex be the computer.

Dan McAteer

66,904 Aufrufe • vor 2 Monaten

MIT PhD student Alex Zhang reveals the scaling result where a model trained on short tasks generalizes to problems 100x longer for free: "If you're very clever about the design of your harness or how you use the language model, you can almost get scaling gains for free." "If you train a model naively, there's no tricks. It's just the same way you train a model on these RL environments. You just roll it out, and then you just get some reward." "If you train it on only short tasks, like only tasks that are 10,000 tokens long, and then you were to run it on a similar domain, but at a million tokens, or 10 million tokens, or 100,000 tokens, it generalizes really, really well. If you look at it compared to even the base transformer, you get way better generalization properties." "When the model uses an RLM (Recursive Language Model) after it's trained on these short tasks, it will see some kind of trajectory of actions that it does. Between these two problems of different lengths, the RLM learns to see them as almost the same problem." "Token for token, they're almost the same. You can describe it in code. In one code setting, maybe the for loop is a little bigger, but it's the same kind of code and it derives the constants from the data. There's no hard coding, so they literally look the same." alex zhang
2:41

MIT PhD student Alex Zhang reveals the scaling result where a model trained on short tasks generalizes to problems 100x longer for free: "If you're very clever about the design of your harness or how you use the language model, you can almost get scaling gains for free." "If you train a model naively, there's no tricks. It's just the same way you train a model on these RL environments. You just roll it out, and then you just get some reward." "If you train it on only short tasks, like only tasks that are 10,000 tokens long, and then you were to run it on a similar domain, but at a million tokens, or 10 million tokens, or 100,000 tokens, it generalizes really, really well. If you look at it compared to even the base transformer, you get way better generalization properties." "When the model uses an RLM (Recursive Language Model) after it's trained on these short tasks, it will see some kind of trajectory of actions that it does. Between these two problems of different lengths, the RLM learns to see them as almost the same problem." "Token for token, they're almost the same. You can describe it in code. In one code setting, maybe the for loop is a little bigger, but it's the same kind of code and it derives the constants from the data. There's no hard coding, so they literally look the same." alex zhang

MTS

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You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.
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You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 Aufrufe • vor 1 Jahr