Exploring the future with AI & tech

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gM everyone happpy friday
Before an autonomous drone can safely fly through the real world, it needs to learn in simulation first. But a simulation is only as good as the environment it’s built on. That’s where @vangrid_io comes in. Vangrid provides the high fidelity 3D spatial data needed to make simulated environments closer to the physical world. Better spatial ground truth means simulations can better reflect the places autonomous systems will eventually operate in. The bridge between simulation and reality starts with better data.
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Ashik retweeted
Gud luck. fomies.family
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Before an autonomous drone can safely fly through the real world, it needs to learn in simulation first. But a simulation is only as good as the environment it’s built on. That’s where @vangrid_io comes in. Vangrid provides the high fidelity 3D spatial data needed to make simulated environments closer to the physical world. Better spatial ground truth means simulations can better reflect the places autonomous systems will eventually operate in. The bridge between simulation and reality starts with better data.
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A look back at our work with Anichess. AP Collective developed and managed the distribution campaign, bringing its gameplay and ecosystem to a wider audience. During the campaign, Anichess hit #1 in crypto mindshare. Full case study: apcollective.io/case-studies…
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Epoch 1 has officially come to an end. Epoch 2 is now officially live. The @termix_ai Agent Economy Katalyst Campaign is moving into its next 30-day chapter, giving creators a fresh opportunity to build, contribute and make their content count. The first Epoch brought strong participation from the community, with creators sharing their perspectives around the agent economy and the growing TermiX ecosystem. Now the focus shifts to Epoch 2. The reward pool is 0.24% of the total TermiX token supply, with an additional 0.06% allocation for Kaito stakers. few things to keep in mind: • Epoch 2 runs from Sep 24 to Oct 23 • Reward Pool → 0.24% • Kaito Stakers → 0.06% • Total Campaign Allocation → 0.30% • Rewards are 100% unlocked at TGE If you participated in the first Epoch, this is another opportunity to keep building. And if you missed it, there’s still a fresh 30-day window ahead.
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QFEX is more than just another perp exchange. The interesting part is what the team is building around it. Built by former HFT quants, QFEX is researching systematic strategies for its own RWA markets, combining quantitative finance with onchain trading infrastructure. One strategy tested by the team showed 29.6% annualized net returns, with a Sharpe ratio of 3 and Sortino ratio of 4.64. Those are test-period results and were generated before leverage, not a guaranteed return. QFEX is still in its pre-points phase, which makes the RWA side of the platform especially interesting to watch early. @QFEX RWA Exchange
Recently I posted about Managed Accounts, the mid-frequency strategy we’ve been running on QFEX for our team members and early VIPs. We’re now opening a waitlist to a wider audience. We run a systematic, market-neutral strategy trained with the latest AI foundation models. Our models look at momentum, volatility and relationships across markets to decide what to buy, what to short and how much to allocate to each position. The book is then balanced to target zero net exposure and zero equity market beta. Out-of-sample APY is 29.6% (net of fees), with a Sharpe ratio of 3.01. Your collateral stays in your own QFEX account, positions are visible in real time, and there’s no lock-up. The video explains more about how it works. If you’re already registered on QFEX, you can now join the waitlist. Link in the comments.
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On chain privacy is becoming more practical. In a recent Consensus Miami interview, Avery Ching talked about Aptos work on confidential assets and the challenge of making privacy work at real world speed and cost. The team has been working on this for nearly two years, building on its zero knowledge infrastructure and work with the Risotto protocol. The goal is to make confidential transactions fast, cheap and compliant. Sub second transactions and sub cent costs are a big part of that approach. Privacy has been done before. The interesting part is bringing privacy together with performance, low costs and compliance. FT : @AveryChing || @Aptos
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Been exploring @xomarket 2.0 today and the first thing that caught my attention was Convictions. I like that you don’t have to wait for someone else to create the market you’re looking for. You can create one yourself starting from $10. Then MODRA comes in to help with the resolution side using AI. Still exploring XO 2.0, but this part definitely made me stop and look closer. Join the campaign: s.kaito.ai/bNB2ywo
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What @axisrobotics is building is bigger than just “training robots.” • Humans complete tasks in simulation • Every trajectory becomes useful training data • Data helps robots learn faster • More contributors → more diverse data → better Physical AI One thing from yesterday’s AMA really caught my attention: The team said completed simulation tasks can be implemented quickly to help robots learn from them. So the work users do inside Axis isn’t just for points the data can actually contribute to the training loop. And the research is backing the idea: • 6M+ trajectories • 219K+ contributors • AXIS Dataset V1 accepted at IROS 2026 • π0.5 on LIBERO-Plus improved from 83.9 → 88.8 This is the part I find most interesting. Every user contributes a small piece, but together those contributions can build something much bigger. A new era of Physical AI, built with everyone’s contribution. 🤖 Robot intelligence isn’t built by a few. It’s built by all. You can join here: s.kaito.ai/UxBtIgf
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On chain execution is about more than simply getting a swap through. The price you get, the route used and the MEV around the trade all matter. .@baibai_cx is the first PropAMM + aggregator native to base built by @Spire_Labs. Its pitch is simple, trade at the best price, guaranteed. What makes the approach interesting is the execution layer behind it. Instead of relying on a standard DEX route alone, BaiBai combines its PropAMM with aggregation to improve execution while reducing issues like sandwich attacks and bad pricing. And the receipt makes this easier to understand. It shows potential MEV and compares the execution against other pricing routes, giving users a clearer picture of what they actually got and what they could have saved. This is the kind of infrastructure Base needs as onchain trading scales: better execution, more transparency and fewer hidden costs for users. BaiBai is building toward that. FT: @CoffeeTimesTW, @chesus, @SlaterHeil, @baibai_cx
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gM everyone happy thursday
AI can learn a lot from text and 2D images, but physical AI needs to understand the world in 3D. Robots need continuous, high-fidelity spatial data to navigate real environments and interact with them. Thats where @vangrid_io comes in. Vangrid is building a decentralized spatial data layer for Physical AI, turning real world captures into verified 3D ground truth. For World Models, this kind of data could become just as important as the text that powered todays AI.
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A small percentage of people may dominate the timelines. But everyone contributes to the internet. The people writing original posts. The people turning moments into memes. The people sharing honest reviews. The people offering better answers in the replies. The people making predictions, challenging opinions and introducing ideas to new communities. Without them, there is no conversation. There is no culture. There is no internet worth returning to. Yet most platforms still divide people into two groups: creators and everyone else. Clasho doesn’t see it that way. We believe creativity can come from any account, influence can begin with any idea and valuable participation deserves the opportunity to be recognized. That’s why Clasho campaigns are open to people who are ready to contribute, not only people who already have massive audiences. You don’t need permission to be a creator. You need an opportunity to create. Find yours at Clasho.com
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Most people think training robots requires a lab. With @axisrobotics , you can start from a browser. Teleoperate a sim robot, correct its mistakes, complete the run, then sign it on Base. Your contribution becomes part of the data powering Physical AI. 5.6M+ trajectories. 200K+ users. And now the $AXIS community sale is live. Anyone can enter with an eligible account, connect their wallet, and commit funds directly: → $0.10 per $AXIS → USDC on Base → $100–$100K commitment → Ends Sep 28, 05:00 UTC I’ve already committed mine. If you’re new to Axis: s.kaito.ai/UxBtIgf → sign up → complete the 6 practice tasks → Live Beginner → finish → SIGN from Portfolio. Unsigned = no points. Quality > grind. NFA. DYOR. Points ≠ guaranteed tokens. Robot intelligence isn’t built by a few. It’s built by all. Just believe in the axis community <3
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Ashik retweeted
AI can learn a lot from text and 2D images, but physical AI needs to understand the world in 3D. Robots need continuous, high-fidelity spatial data to navigate real environments and interact with them. Thats where @vangrid_io comes in. Vangrid is building a decentralized spatial data layer for Physical AI, turning real world captures into verified 3D ground truth. For World Models, this kind of data could become just as important as the text that powered todays AI.
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RT @Siyamsayem1060: giveaway giveaway giveaway 15 GTD FREE MINT SPOTS @bunionrh x [@EA_Alphaaa ] Want a guaranteed mint spot? How…
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