ASHIK (@Ashik_80) header
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Content Creator/Writer Contributor @axisrobotics

Joined May 2025
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Most Comprehensive Robotics Data Projects 1. @axisrobotics We can say Axis is the most proven and successful robotics project in Web3 at this moment. They are building a compounding data engine for physical AI. They have also partnered with multiple Web2 robotics companies. 2. @BitRobotNetwork BitRobot is trying to build a data network layer for robotics. They have already onboarded some robotics projects including Axis Robotics. 3. @openroboto OpenRoboto operates a robotics model-improvement network on Bittensor Subnet 80. Their main focus is model training and competition, as well as decentralized robotics-data collection. 4. @PrismaXai PrismaX is a robotics teleoperation and data marketplace. 5. @InvLambda Inverted Lambda is building an economic layer around physical-AI contributions. 6. @ZenO4AI ZenO focuses on first-person, real-world data for physical AI. 7. @4Dlabs_Official 4D Labs is focused on 3D/4D spatial intelligence. It’s not a final list. This ranking is based on the current market scenario and some projects may do far better than others. It’s just a research result based on current data. And @SurfAIHQ helped me a lot in finding the exact rank.
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Axis Sim-Lab Training আসছে! Axis Bangladesh কমিউনিটির জন্য আয়োজন করা হচ্ছে একটি লাইভ ট্রেনিং সেশন। এই সেশনে আমরা শিখব কীভাবে Axis Hub-এ Simulation Tasks সম্পন্ন করতে হয়, কীভাবে রোবট অপারেট করতে হয় এবং সাধারণ ভুলগুলো এড়িয়ে আরও ভালোভাবে কাজ করা যায়। 🎙️ Host: @Ashik_80 ⏱️ Duration: 30 Minutes 📍 Platform: Discord সেশনে যা থাকছে: - Axis Hub-এর পরিচিতি ও ব্যবহার - Robot Operation এবং Live Practical Demonstration - অভিজ্ঞ Contributors-দের Tips & Tricks - Q&A এবং Community Feedback নতুন হোন বা অভিজ্ঞ Contributor, সবার জন্যই এই সেশনটি হতে যাচ্ছে শেখার এবং নিজেদের দক্ষতা বাড়ানোর দারুণ একটি সুযোগ। সবাইকে অংশগ্রহণের আমন্ত্রণ!
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We’ve been using ODE Policy for visual policy distillation, with strong early results. Learning how actions evolve over time gives the policy a natural way to capture the continuity of robot motion. In the video, our Franka robot learns to thread a nut onto a bolt in simulation, reproducing the task from SGS. Next, we plan to use ODE Policy to distill a wider range of assembly skills into policies that act from camera images, from fitting gears and inserting pegs to joining connectors.
🚀 Nature does not move in discrete jumps. Why should robot policies? Super excited to release ODE Policy — perhaps our most exciting breakthrough in my lab this year! 🤖🔥 Think about how humans reach for a cup. Our movements evolve continuously, governed by underlying dynamics. Yet, most robot policies — from Diffusion and Flow Matching to VLAs — learn to predict explicit actions. What if robots learned how actions evolve, instead of predicting actions? 💡 That's ODE Policy for Embodied AI. We use a neural Ordinary Differential Equation (ODE) to learn continuous action dynamics, rather than directly generating actions. One simple idea. Five types of robots. Multiple learning paradigms. ✅ Single-arm manipulation ✅ Dual-arm manipulation ✅ Dexterous hands ✅ Humanoid whole-body control ✅ Aerial robots And it goes far beyond imitation learning: ⚡ VLA (π0.5): 96.0% vs. 75.5% success after one epoch. 🌍 4.5B World Action Model: 82.6% vs. 24.6% success, with ~4× faster action generation. 🏃 RL: More efficient humanoid whole-body motion learning. For years, we've focused on scaling robot data, models, and compute. But what if the next fundamental breakthrough comes from rethinking WHAT robots learn, rather than just HOW MUCH they learn? Huge congratulations to Jindou Jia and our amazing team! 👏 📄 Paper: arxiv.org/abs/2611.01729 🌐 Project: ntumars.github.io/ODE/ #ODEPolicy #EmbodiedAI #PhysicalAI #RobotLearning #WorldModels #VLA #MARSLab
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What makes an alpha trader successful? I think a trader who can turn negative news into a money-making opportunity is a successful one. We all saw the #NVIDIA CEO headlines, right? But can you tell me who actually made money from this news? Anyone? I just found an interesting Solana trader... @rasmr_eth Amid the Jensen Huang/NVIDIA headlines, he spotted the meme narrative around $PUSSY (with the NVIDIA logo) at just ~$143K market cap. FomoLens shows the position closed with ~$23.57K in realized profit (+196.5%). I’m no one to decide who is successful and who isn’t, but I really love how @rasmr_eth turned negative news into profit. While others were searching for something more interesting, he was busy finding alpha. Not only that, he made over $1.1M in just 3 trades, though he also lost $578K. On @fomo 30-day ranking he sits at #15 with +$97.78K monthly and +$491.71K all-time PnL. His biggest win came from BNB Chain, but his biggest loss came from Solana. Tell me about yourself... did you make any money on the Jensen Huang/NVIDIA headlines? Research powered by @SurfAIHQ
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How should you choose simulation demos for co-training when real robot data is scarce? Introducing TUCO: Curating Simulation Demonstrations for Sim-to-Real Robot Policy Co-Training, the first systematic study of data curation for sim-to-real robot policy co-training. With just 10 real demos and 600 curated sim demos per task, TUCO hits 85.8% real-robot success, versus 25.8% for the full 1,200 pool or a random 600, and sets SOTA across all three transfer settings. A collaboration with researchers from @Stanford @NTUsg @CarnegieMellon @FudanUniversity @UCBerkeley @sjtu1896. Project page: tuco-curation.github.io/ Details below ⬇️
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It’s really sad to see that @Galxe is going to shut down their Quest platform. I have a lot of memories with @GalxeQuest. I started my crypto journey with a big win that came from @GalxeQuest. My big win was @spaceandtime. I received more than $500 just by doing some simple quests on Galxe. What days those were... But yeah, you have to improve yourself based on market demand. Best of luck... @Galxe team!
Galxe is consolidating its team and brand under Gravity to accelerate the development and adoption of Gravity L1. Over the past five-plus years, we’ve helped pioneer Web3 questing and given projects new ways to connect with users and build communities. We’ve served 36 million users and supported more than 7,700 partner projects through campaigns, credentials, and loyalty programs, helping people discover new projects, contribute to their ecosystems, and earn recognition and rewards. We’re bringing that experience and the relationships built along the way into our work on Gravity. As part of this consolidation, we will wind down Galxe Quest, Galxe ID, Galxe Passport, and related services. Gravity will continue operating as usual, with no changes to the G token as part of this transition. Starting today, Spaces can no longer create new campaigns. New Galxe+ and Galxe Score subscriptions and Galxe Passport minting are also no longer available. December 5, 2026, will be the last day to participate in campaigns. No campaigns will remain active after that date. On December 15, 2026, campaign reward claims will close, and the entire Galxe website will switch to read-only mode. Please claim any outstanding campaign rewards before December 15. User assets remain safe, including Smart Savings balances, staked G that has not yet been withdrawn, and G tokens held in wallets on Gravity Alpha Mainnet. These assets will follow a separate claim process and timeline. We will publish the details and instructions in a follow-up announcement on our official X. Thank you to the users, builders, and partners who helped shape Galxe. We look forward to continuing to build with you on Gravity.
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kaito (@KaitoAI), Ink (@inkonchain) and many more their paid customers... To be honest their tech and partnership looks promising But at the end @yzilabs honest with u their reputation not that gd specially in recet times.. But I believe @primus_labs can do better...
.@primus_labs has 1M+ users & 10+ enterprises paying for its zkTLS infra, backed by @yzilabs the numbers so far: > $6.5M raised in a pre-seed + seed in Feb 2025 > 1,000,000+ users across the extension, Dev Hub & zkTLS apps > 10+ paid enterprise customers across stablecoins, AI, L2s & socials > $72M+ TVL verified through their proof of reserves across 4 live projects the GTM is B2B2C, they make money from API fees, gas that scales with volume & enterprise setup + management fees developers > apps > network usage > enterprises > more developers ok ✍️
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Last day I was free and went out to hang out with my friends... One of my friends asked me... “Bro, last time u told me about @primus_labs how it works and its concept.” Me... “Yes... that was a pretty techy conversation.” My friend... “Ya... but I got a Marvel character that perfectly fits Primus.” Me... “ahhh... Which one?” My friend... “The Watcher.” Me... “Haha, u’re right bro... but Primus is more than that.” My friend... “How?” Me... “Think about the Watchers. They see everything, they record everything... but they never interfere. And if someone asks ‘is that true?’ all they can say is ‘trust me, I saw it.’” My friend... “Yeah... right” Me... “Right. That’s where Primus goes one step beyond. It doesn’t only watch... it helps u prove what it watched.” My friend... “Prove it how?” Me... “Say u log in to ur exchange. Primus checks that the data really comes from the real website. Then u can prove one fact, like ‘my balance is above this or that number... without showing the whole account. The website doesn’t even have to change anything.” My friend... “So no ‘trust me bro’... just proof.” Me... “Exactly. And FHE adds one more thing. Even while the data is being used, it can stay encrypted.” My friend... “So that means... a verifiable watcher?” Me... “Exactly, u’re right. A watcher that can prove what it saw and still keep ur private data private.” My friend smiled... “Okay, that’s actually a cool way to remember it.” Me... "ahhh yah ... " @primus_labs
last day when I posted about how Primus and zkTLS work together... My friend asked me... “Don’t u tell me that @primus_labs works with FHE also?” Me... “Yes, they use FHE.” My friend... “Then tell me, how do they use it?” Me... “FHE means Fully Homomorphic Encryption. Sounds a little technical, right...?” My friend... “Ahh, it sounds like something scientific.” Me... “Hahaha. The easy meaning is this: a computer can work on ur data while the data stays locked.” My friend... “Wait... isn’t encrypted data already safe?” Me... “Yes, but only while it’s sitting somewhere. To use it, a computer normally has to unlock it first. And at that moment, someone can see it.” My friend... “Oh... so that’s the weak point.” Me... “Exactly and FHE removes it. Think of an accountant. u give him a locked box full of bills. He adds them up without ever opening the box. Then he gives u back a locked box with the total inside. Only u have the key.” My friend... “So he did the work but never saw my data?” Me... “Yes. That’s FHE.” My friend... “Okay, but where does Primus use it?” Me... “Two places. First, the Confidential Vault. Ur amounts and position stay hidden from the public. Second, FHETransform, which brings FHE to smart contracts on EVM chains. The inputs, the contract state and the outputs all stay encrypted.” My friend... “Does the blockchain do all this?” Me... “No. We all know that FHE math is heavy... so the heavy work runs off-chain. If the chain did everything, it would be slow and costly.” My friend... “So zkTLS and FHE are the same thing?” Me... “not really. zkTLS proves that data is real. FHE keeps data private while it’s being used.” My friend smiled and said... “got u... tnx for this info” Me... “ Mention not...” @primus_labs
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ASHIK retweeted
🚨 Warning for all NFT hunters! Please be careful with projects like @AxiomARB Today, My friend @Spaulhrx connected his wallet to mint nft of this project and immediately afterward, his wallet was compromised. Always DYOR before connecting your wallet to any unfamiliar project. And use burner Wallet Stay safe, protect your assets, and never blindly trust any project. ⚠️
🚨 X just updated its algorithm on November 5, bringing new changes for creators, especially small accounts. Likes now carry more weight, increasing from 0.66 to 0.708. Reading time and shares have also become more valuable. Meanwhile, simply opening a post or video engagement is worth less. Videos now need genuine watch time to generate value. Another important change: AI generated replies under large accounts may get flagged, meaning your replies might never reach the intended audience. The first two hours remain crucial for engagement. The new strategy is simple: Create original content that keeps people reading, encourages likes, and sparks genuine conversations. Quality engagement matters more than ever. Are you changing your posting strategy?
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Finally, it’s over... @InvLambda S3 (GENESIS) has officially ended. So what’s next? Something NFT type? Or something rewards type? Ahh... why not both 👀
THIRD CONTACT: GENESIS IS OFFICIALLY CLOSED Inverted Lambda wouldn’t be here without our community. Every run and vision shared brought us across the finish line. While the web platform is still live, data has been snapshotted. Final scores, leaderboards, and reward distributions will be announced mid-next week. Something is on the way 👀.
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last day when I posted about how Primus and zkTLS work together... My friend asked me... “Don’t u tell me that @primus_labs works with FHE also?” Me... “Yes, they use FHE.” My friend... “Then tell me, how do they use it?” Me... “FHE means Fully Homomorphic Encryption. Sounds a little technical, right...?” My friend... “Ahh, it sounds like something scientific.” Me... “Hahaha. The easy meaning is this: a computer can work on ur data while the data stays locked.” My friend... “Wait... isn’t encrypted data already safe?” Me... “Yes, but only while it’s sitting somewhere. To use it, a computer normally has to unlock it first. And at that moment, someone can see it.” My friend... “Oh... so that’s the weak point.” Me... “Exactly and FHE removes it. Think of an accountant. u give him a locked box full of bills. He adds them up without ever opening the box. Then he gives u back a locked box with the total inside. Only u have the key.” My friend... “So he did the work but never saw my data?” Me... “Yes. That’s FHE.” My friend... “Okay, but where does Primus use it?” Me... “Two places. First, the Confidential Vault. Ur amounts and position stay hidden from the public. Second, FHETransform, which brings FHE to smart contracts on EVM chains. The inputs, the contract state and the outputs all stay encrypted.” My friend... “Does the blockchain do all this?” Me... “No. We all know that FHE math is heavy... so the heavy work runs off-chain. If the chain did everything, it would be slow and costly.” My friend... “So zkTLS and FHE are the same thing?” Me... “not really. zkTLS proves that data is real. FHE keeps data private while it’s being used.” My friend smiled and said... “got u... tnx for this info” Me... “ Mention not...” @primus_labs
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We're building a multi-layered robotics architecture, where the LLM drives high-level reasoning and skill harness. Here's a demo. The task: use the right arm to arrange three objects from the tray in a row along the X axis of the table, ordered by height from tallest to shortest. You can see the agent turn the task into continuous motion through skill harness, linking scene understanding, height-based ordering, and placement planning to physical execution. This is an exciting start.
This is already the present for SOTA robotics architecture
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Last night... we saw a huge sell-off in the US market. The S&P 500 lost 4%+, wiping out more than $2.2T in market value. This was mostly driven by the fall of major AI companies like Micron, AMD, Alphabet, Nvidia and many more. But what is the reason behind this dump? Though there is no confirmed data about this but some interesting factors must be considered. 1. The Bank of England raised rates: The Bank of England raised interest rates from 3.75% to 4% on Thursday, November 5, 2026. This shows that inflation is increasing. 2. The political regime change: We saw a huge shift in US politics and it played a major role in this dump. Trump is generally recognized as a positive figure for the money market... while Democrats are not widely seen as equally market-friendly. 3. AI Fear: After the Chinese AI market (mostly AI companies) crashed... everyone started expecting an AI crash in the US market too. Also Democrats sweeping USA midterm election victories raised concerns about possible restrictions or moratoriums on AI data-center construction. (Most Important one) 4. Geopolitical scenario: The geopolitical situation is also not that good especially in the Middle East... where we have seen tensions increasing from time to time. This could be another factor. Though there is no single reason behind this dump, multiple events happened at the same time and individual investors are panicking over these developments. And that's the main reason behind this dump. We all know that crypto is still heavily correlated with the US market. That's why we saw a drop of more than 5% in BTC and approximately 8% in ETH. So, it's pretty clear: Watch the S&P/Nasdaq open, not the crypto chart, for the next leg. @SurfAIHQ for research...
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ASHIK retweeted
30 days ago I had never heard of @FungoLabs Oct 6 changed that One thread led to another and I could not stop reading about NFTs whose metadata is encrypted with FHE on @zama >On chain but private >Not your usual public JSON anyone can scrape Then came the waiting game In Review In Review In Review A poem later plus a reminder to the intern to push my application nothing had moved Oct 12 402 of 500 spots taken my I am In card finally came through Minted Fungo Genesis #179 today It is sitting sealed in my vault and honestly the mystery is half the fun
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Announcing the $AXIS Token Buyback Our data engine is powering Physical AI applications across real-world scenarios. We want every contributor to share directly in it. We're launching the $AXIS token buyback, with our first $150K tranche already complete. 1. Our commercial deals follow a pilot-first model. Framework agreements are signed only after a successful pilot, and payments are released in tranches against delivery milestones. 2. Going forward, a portion of the net profit from our commercial contracts is allocated to buy back $AXIS as cash is collected. A public buyback report is published each quarter, with on-chain treasury records anyone can independently verify. All repurchased $AXIS is transferred to the public treasury. Treasury address: 0xfC8c6ABC0742E64c13d6B0bAC1fCD7e604eC7Dc5 See the full details: docs.axisrobotics.ai/economi…
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ASHIK retweeted
After the recent US midterm elections, we saw Trump's Republican Party suffer a major defeat. Interestingly, the crypto market seems to be showing some positivity around this. But what does this actually mean? Is this outcome actually more bullish for Web3? Let's explore... Financial markets love fresh liquidity and a healthy market environment. But one thing markets don't like is fake promises and unrealistic hopes. Let's look at some of the promises Trump made and what actually happened. 1. The main promise: "Make America Great Again" Financial markets expected Trump to bring major changes to the US economy, potentially turning America into the next global production hub without disrupting the international financial system. But instead, Trump introduced tariffs that badly affected the global economy. And we could see the impact of this uncertainty in the Web3 market as well. 2. Launching meme tokens and family products After Trump was elected as US president, he and his family became increasingly involved in the crypto market. Within his presidency, we saw the launch and promotion of multiple crypto products, including @worldlibertyfi, $TRUMP and his wife's $MELANIA meme coin. Several reports have highlighted how Trump and his family reportedly made billions of dollars through their crypto ventures. 3. "I'm not going to start wars" Trump positioned himself as someone who wanted peace. He presented himself as a leader who would avoid unnecessary wars and bring stability to the world. But the conflict involving Iran has had serious consequences for the global economy, affecting everything from energy markets to the everyday lives and livelihoods of ordinary Americans. 4. Strategic Bitcoin Reserve During his election campaign, Trump openly promoted Bitcoin. Naturally, the market started believing that if he became president, Bitcoin could eventually become part of the US strategic reserves. That expectation created huge optimism in the crypto market. 5. The Crypto CLARITY Act After Trump's election victory, the crypto industry expected clear regulatory guidelines. Many believed this would finally be the time for the CLARITY Act and a more transparent regulatory environment for the entire industry. There have been efforts to move it forward, but we still haven't seen the expected outcome. 6. "Crypto Capital of the World" Trump repeatedly used the phrase "Crypto Capital of the World" during his election campaign. It created huge expectations among crypto investors and builders. But looking at the bigger picture... sometimes it feels less like building the Crypto Capital of the World and more like building the Crypto Capital of Trump's world. Reports suggest that Trump generated around $1.2 billion in crypto-related income in 2025. So, what can we conclude? Trump positioned himself as one of the most crypto-friendly presidents in US history. But looking at his actions... there's a serious question: Was he really trying to build a better environment for the crypto industry or was he using the crypto market's hype and volatility to build his own financial empire? At the end of the day, we can argue that the recent market positivity isn't necessarily because Republicans lost the midterm elections. It could be because the market is slowly realizing that there is a huge difference between political promises and actual results. And perhaps that's what the market is reacting to. Used @SurfAIHQ for research...
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After the recent US midterm elections, we saw Trump's Republican Party suffer a major defeat. Interestingly, the crypto market seems to be showing some positivity around this. But what does this actually mean? Is this outcome actually more bullish for Web3? Let's explore... Financial markets love fresh liquidity and a healthy market environment. But one thing markets don't like is fake promises and unrealistic hopes. Let's look at some of the promises Trump made and what actually happened. 1. The main promise: "Make America Great Again" Financial markets expected Trump to bring major changes to the US economy, potentially turning America into the next global production hub without disrupting the international financial system. But instead, Trump introduced tariffs that badly affected the global economy. And we could see the impact of this uncertainty in the Web3 market as well. 2. Launching meme tokens and family products After Trump was elected as US president, he and his family became increasingly involved in the crypto market. Within his presidency, we saw the launch and promotion of multiple crypto products, including @worldlibertyfi, $TRUMP and his wife's $MELANIA meme coin. Several reports have highlighted how Trump and his family reportedly made billions of dollars through their crypto ventures. 3. "I'm not going to start wars" Trump positioned himself as someone who wanted peace. He presented himself as a leader who would avoid unnecessary wars and bring stability to the world. But the conflict involving Iran has had serious consequences for the global economy, affecting everything from energy markets to the everyday lives and livelihoods of ordinary Americans. 4. Strategic Bitcoin Reserve During his election campaign, Trump openly promoted Bitcoin. Naturally, the market started believing that if he became president, Bitcoin could eventually become part of the US strategic reserves. That expectation created huge optimism in the crypto market. 5. The Crypto CLARITY Act After Trump's election victory, the crypto industry expected clear regulatory guidelines. Many believed this would finally be the time for the CLARITY Act and a more transparent regulatory environment for the entire industry. There have been efforts to move it forward, but we still haven't seen the expected outcome. 6. "Crypto Capital of the World" Trump repeatedly used the phrase "Crypto Capital of the World" during his election campaign. It created huge expectations among crypto investors and builders. But looking at the bigger picture... sometimes it feels less like building the Crypto Capital of the World and more like building the Crypto Capital of Trump's world. Reports suggest that Trump generated around $1.2 billion in crypto-related income in 2025. So, what can we conclude? Trump positioned himself as one of the most crypto-friendly presidents in US history. But looking at his actions... there's a serious question: Was he really trying to build a better environment for the crypto industry or was he using the crypto market's hype and volatility to build his own financial empire? At the end of the day, we can argue that the recent market positivity isn't necessarily because Republicans lost the midterm elections. It could be because the market is slowly realizing that there is a huge difference between political promises and actual results. And perhaps that's what the market is reacting to. Used @SurfAIHQ for research...
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