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AMMs were a solid start, but now we’re seeing a clear demand for CLOBs, especially for highly liquid assets. Why? --- CLOBs are significantly more capital efficient than AMMs. In this simulation, CLOBs required 80% less capital while providing: - Lower slippage across all trade sizes - Less leakage...

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Prince

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17,318 просмотров • 1 год назад •via X (Twitter)

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Tharwa x MEV Capital: Building Liquidity with a $2B DeFi Asset Manager We’re pleased to announce our partnership with MEV Capital, a DeFi-native asset manager with more than $1.3B in TVL and $500M in AUM. Their focus on liquidity deployment and structured risk management makes them a strong fit as thUSD continues to expand. In practice, this means deeper liquidity for thUSD and sthUSD, tighter spreads, and access to strategies that connect directly into our bonds and stablecoin markets. MEV Capital’s DeFi expertise has allowed them to efficiently manage close to $2B of digital assets across EVM chains and L1 networks such as Sui and Solana. Their presence across the UAE and Europe also matches where we’re building on the institutional side. The partnership begins with their first allocation into thUSD, setting the stage for liquidity programs and bond market integrations. Their privately run investment vehicles and curated permissionless vaults represent the first wave of capital we expect to see enter the Tharwa ecosystem. Partnerships like this are about alignment. Experienced managers paired with structured systems create liquidity that is stronger and yield that lasts. We’re glad to welcome MEV Capital as a strategic partner. For more on MEV Capital: Website - X Account - MEV Capital LinkedIn - DeFilama -
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Tharwa x MEV Capital: Building Liquidity with a $2B DeFi Asset Manager We’re pleased to announce our partnership with MEV Capital, a DeFi-native asset manager with more than $1.3B in TVL and $500M in AUM. Their focus on liquidity deployment and structured risk management makes them a strong fit as thUSD continues to expand. In practice, this means deeper liquidity for thUSD and sthUSD, tighter spreads, and access to strategies that connect directly into our bonds and stablecoin markets. MEV Capital’s DeFi expertise has allowed them to efficiently manage close to $2B of digital assets across EVM chains and L1 networks such as Sui and Solana. Their presence across the UAE and Europe also matches where we’re building on the institutional side. The partnership begins with their first allocation into thUSD, setting the stage for liquidity programs and bond market integrations. Their privately run investment vehicles and curated permissionless vaults represent the first wave of capital we expect to see enter the Tharwa ecosystem. Partnerships like this are about alignment. Experienced managers paired with structured systems create liquidity that is stronger and yield that lasts. We’re glad to welcome MEV Capital as a strategic partner. For more on MEV Capital: Website - X Account - MEV Capital LinkedIn - DeFilama -

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Many web3 launches were decided in the first few days. Refundable IDOs provided a useful early safeguard for investors. But a strong team launching into a bad market could lose momentum immediately regardless of long-term potential. There are teams that were judged too soon. That’s why we built IMOs. Capital unlocks with milestones. Giving builders room to prove themselves, while holding them accountable over time. Less “did it pump?” More “did they build?”
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Many web3 launches were decided in the first few days. Refundable IDOs provided a useful early safeguard for investors. But a strong team launching into a bad market could lose momentum immediately regardless of long-term potential. There are teams that were judged too soon. That’s why we built IMOs. Capital unlocks with milestones. Giving builders room to prove themselves, while holding them accountable over time. Less “did it pump?” More “did they build?”

Seedify

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Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE
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Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE

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Announcing Undeads Marketplace We are pleased to announce that, in collaboration with Superteam, we’ve created our own Collection Marketplace. It was designed to bring healthier market dynamics back to digital collectibles, which have recently become plagued by over-financialization. While some collections are pushing toward “fast, hyper liquid, order book based”, we believe that NFTs should be transacted more like art. -- Some of the best days of NFTs were several years back, on OpenSea, where you’d be browsing for pieces you actually vibe with. It was even more thrilling when floors were lava, and you’d be in a panicked rush to catch one you like before they sold. Friction was a feature. Our marketplace brings together legacy dynamics with new technology, which we believe creates the perfect climate for Solana collectibles to thrive. Focused on the collector experience, built on a cutting edge stack, and adding friction as a feature. No more points to farm or AMMs bleeding floors, but returning NFT trading to the way it's meant to be. -- Truly, we look forward to the many doors which will opened for Undeads and the broader Solana NFT ecosystem. You can expect Undeads to begin trading on our marketplace beta in Q4 2024.

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26,361 просмотров • 2 лет назад

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23,441 просмотров • 2 лет назад

To replace animal testing with AI, we need MASSIVE human datasets. Today, we're thrilled to share Axiom's new data exploration tool, providing the ability to visually explore the world's largest primary human liver toxicity dataset. Built with Axiom's proprietary wetlab protocols, our dataset includes detailed liver toxicity profiles for over 100,000 distinct molecules. The key to this dataset is our ability to do high-throughput, multiplexed high-content screening with primary human liver cells. Traditionally, toxicity assays either sacrifice throughput or sacrifice biological relevance (using easy-to-grow immortalized cell lines instead of real human cells). We managed to combine throughput, physiological relevance, and multiplexing in one platform. The assays run in a high throughput format using automation, meaning thousands of compound-dose conditions can be tested in one experiment. We achieved this using pooled primary human hepatocytes, which are often fragile and expensive. By systemizing our automation and quality control processes, we were able to run over 120+ batches on the same donor pool with incredible reproducibility and consistency. We did this while integrating many readouts per well, whereas many existing toxicity assays only do a single readout. Our multiplexed approach provides far more data per experiment enabling us to measure 10-20 different toxicity phenotypes such as apoptosis, necrosis, mitochondrial fission, endoplasmic reticulum stress, stress granule formation, microtubules, and more all from a single well on a 384-well plate! The combination of scale, high content information, and data quality is exactly what is needed to train highly accurate AI models in biology. If you're interested, please explore the dataset in the comments below and let me know if you want to chat about the details!
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To replace animal testing with AI, we need MASSIVE human datasets. Today, we're thrilled to share Axiom's new data exploration tool, providing the ability to visually explore the world's largest primary human liver toxicity dataset. Built with Axiom's proprietary wetlab protocols, our dataset includes detailed liver toxicity profiles for over 100,000 distinct molecules. The key to this dataset is our ability to do high-throughput, multiplexed high-content screening with primary human liver cells. Traditionally, toxicity assays either sacrifice throughput or sacrifice biological relevance (using easy-to-grow immortalized cell lines instead of real human cells). We managed to combine throughput, physiological relevance, and multiplexing in one platform. The assays run in a high throughput format using automation, meaning thousands of compound-dose conditions can be tested in one experiment. We achieved this using pooled primary human hepatocytes, which are often fragile and expensive. By systemizing our automation and quality control processes, we were able to run over 120+ batches on the same donor pool with incredible reproducibility and consistency. We did this while integrating many readouts per well, whereas many existing toxicity assays only do a single readout. Our multiplexed approach provides far more data per experiment enabling us to measure 10-20 different toxicity phenotypes such as apoptosis, necrosis, mitochondrial fission, endoplasmic reticulum stress, stress granule formation, microtubules, and more all from a single well on a 384-well plate! The combination of scale, high content information, and data quality is exactly what is needed to train highly accurate AI models in biology. If you're interested, please explore the dataset in the comments below and let me know if you want to chat about the details!

Brandon White

25,117 просмотров • 1 год назад

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Circle Gateway: a new primitive enabling a unified USDC balance instantly accessible crosschain. Now available on testnet for Avalanche🔺, Base, and Ethereum. Mainnet launch coming soon on additional chains with a robust chain expansion roadmap. ✅ Instant Access: Tap into your unified USDC balance crosschain in <500ms. No bridging, no prepositioning, no delays. ✅ Effortlessly Scale: Serve liquidity demand on multiple chains instantly with less working capital through a single integration. ✅ Non-Custodial: Users have full control of their USDC. Funds can only move with their signature, and withdrawals are trustless. We also want to recognize a few of the leaders in interop and chain abstraction whose work has inspired the creation of Circle Gateway. A special thank you to Across, OneBalance, Rhinestone, and Socket for the close collaboration. Start building on testnet:

Circle

165,692 просмотров • 1 год назад

Pyth Price Feeds are blasting off 🚀 Blast has entered into orbit as a new Ethereum Layer 2 and the first of its kind to offer native yield for ETH and stablecoins. Blast is now live on mainnet. Learn more about Pyth’s deployment on Blast: ℹ️ About Blast Blast is the latest advancement in Ethereum Layer 2 solutions, delivering native yield for ETH and stablecoins. It accelerates and economizes transactions, with the backing of industry leaders like Paradigm, Standard Crypto, and eGirl Capital. 🔮 Pyth's Data-Powered Vision on Blast Over 15 apps have launched on the Blast and are harnessing Pyth’s low-latency, high-resolution price data: meathook—a gateway to 100+ crypto assets with high-leverage options. 100x—a high-speed perpetual DEX experience. Aark Digital—1000x perpetual DEX powered by LST/LRT. Blast Futures—a platform integrating perpetuals with native yield. Bloom—a leveraged trading DEX for rebasing assets. Curvance—a modular multi-chain money market with boosted yield. Deriblast—blends trading with gaming to create a unique experience. Easy X—a reimagined perpetual protocol for diverse asset exposure. Fragment—a new foundation for liquidity and lending protocols. HMX 🐉—a decentralized perpetual protocol with versatile collateral options. Juice Finance—an innovative approach to cross-margin DeFi. @Laser_on_Blast—a liquidity layer for on-chain banking on Blast. Orbit Protocol 🥮—a decentralized protocol for asset lending and borrowing. SynFutures—a decentralized derivatives trading protocol. YOLO GAMES—the go-to for high-stakes Degen Gaming. Zest 👾⚡️Genesis Version⚡️—a collateralized stablecoin with 100% capital efficiency. Pac Finance—a new pioneering DeFi hub on Blast. Seismic Finance—a new Blast native lending market. Thanks to the Pyth oracle, Blast is charting a new course for DeFi—one where accuracy and speed are not just nice-to-have features, but fundamentals that redefine users’ expectations and standards for on-chain finance.
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Pyth Price Feeds are blasting off 🚀 Blast has entered into orbit as a new Ethereum Layer 2 and the first of its kind to offer native yield for ETH and stablecoins. Blast is now live on mainnet. Learn more about Pyth’s deployment on Blast: ℹ️ About Blast Blast is the latest advancement in Ethereum Layer 2 solutions, delivering native yield for ETH and stablecoins. It accelerates and economizes transactions, with the backing of industry leaders like Paradigm, Standard Crypto, and eGirl Capital. 🔮 Pyth's Data-Powered Vision on Blast Over 15 apps have launched on the Blast and are harnessing Pyth’s low-latency, high-resolution price data: meathook—a gateway to 100+ crypto assets with high-leverage options. 100x—a high-speed perpetual DEX experience. Aark Digital—1000x perpetual DEX powered by LST/LRT. Blast Futures—a platform integrating perpetuals with native yield. Bloom—a leveraged trading DEX for rebasing assets. Curvance—a modular multi-chain money market with boosted yield. Deriblast—blends trading with gaming to create a unique experience. Easy X—a reimagined perpetual protocol for diverse asset exposure. Fragment—a new foundation for liquidity and lending protocols. HMX 🐉—a decentralized perpetual protocol with versatile collateral options. Juice Finance—an innovative approach to cross-margin DeFi. @Laser_on_Blast—a liquidity layer for on-chain banking on Blast. Orbit Protocol 🥮—a decentralized protocol for asset lending and borrowing. SynFutures—a decentralized derivatives trading protocol. YOLO GAMES—the go-to for high-stakes Degen Gaming. Zest 👾⚡️Genesis Version⚡️—a collateralized stablecoin with 100% capital efficiency. Pac Finance—a new pioneering DeFi hub on Blast. Seismic Finance—a new Blast native lending market. Thanks to the Pyth oracle, Blast is charting a new course for DeFi—one where accuracy and speed are not just nice-to-have features, but fundamentals that redefine users’ expectations and standards for on-chain finance.

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202,523 просмотров • 2 лет назад

We have sat on this video for a day as we wanted absolutely no negative publicity for Jerry Rice or the tournament but this TMZ story has now come to light and we feel the need to set the record straight on what took place. We meant absolutely no disrespect to Jerry or the 49ers when asking this question as we have a profound respect for the great players that have played this game, especially (in our opinion) the greatest receiver of all time. The confrontation that followed was very unfortunate but we were not trying to elicit a negative reaction and there were no "smirks" as Mr. Rice suggested. We simply wanted the input of the greatest receiver in league's history about the Chiefs receiving corps and if it had improved enough to continue winning at a high level after an historically rough season for the group. We would be more than open to speaking with Jerry personally to clear the air on what happened and put it all behind us. Link to story including additional footage: TMZ TMZ_Sports
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We have sat on this video for a day as we wanted absolutely no negative publicity for Jerry Rice or the tournament but this TMZ story has now come to light and we feel the need to set the record straight on what took place. We meant absolutely no disrespect to Jerry or the 49ers when asking this question as we have a profound respect for the great players that have played this game, especially (in our opinion) the greatest receiver of all time. The confrontation that followed was very unfortunate but we were not trying to elicit a negative reaction and there were no "smirks" as Mr. Rice suggested. We simply wanted the input of the greatest receiver in league's history about the Chiefs receiving corps and if it had improved enough to continue winning at a high level after an historically rough season for the group. We would be more than open to speaking with Jerry personally to clear the air on what happened and put it all behind us. Link to story including additional footage: TMZ TMZ_Sports

Starcade Media

338,093 просмотров • 2 лет назад

Seedance 2.0 - Advanced Workflows Series 14. Compositing and Layering Some shots may have many characters that need specific movements. When we start adding characters, it becomes very difficult to achieve the exact animation, gesture, or movement we are looking of all of them in a single generation. In addition, the more characters are added, the more rigid Seedance 2.0 animations become in order to maintain consistency. This is especially visible in styles with squash and stretch and rubber hose animations, where the characters deform their body parts as if they were made of rubber, or in highly expressive movement animations in anime. For these cases, it is better to work on each animation separately and recompose it at the end into a video. Workflow + Prompts 👇
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Seedance 2.0 - Advanced Workflows Series 14. Compositing and Layering Some shots may have many characters that need specific movements. When we start adding characters, it becomes very difficult to achieve the exact animation, gesture, or movement we are looking of all of them in a single generation. In addition, the more characters are added, the more rigid Seedance 2.0 animations become in order to maintain consistency. This is especially visible in styles with squash and stretch and rubber hose animations, where the characters deform their body parts as if they were made of rubber, or in highly expressive movement animations in anime. For these cases, it is better to work on each animation separately and recompose it at the end into a video. Workflow + Prompts 👇

VoxelPlot

13,979 просмотров • 2 месяцев назад

Today, we’re excited to announce our €30m Series A funding round. Led by Speedinvest , along with CommerzVentures and Latitude, and supported by existing investors Shapers, Headline, Chalfen Ventures, and Triton Capital XYZ (formerly Kraken Ventures), this round will enable us to expand across Europe. Millions of users continue to face friction within the traditional banking system. Lengthy procedures and extensive information requirements can limit the speed and flexibility with which individuals manage their funds. These constraints, along with a rising demand for transparency and user control, illustrate why fully on-chain financial infrastructure is becoming increasingly relevant. With this new funding, our mission is to accelerate our product roadmap and expand beyond our home market in France. In the coming months, you’ll see innovative products designed to give you more freedom and control over your money. Stay tuned. Thank you to our investors and partners! Speed is everything. LFG! 🚀
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Today, we’re excited to announce our €30m Series A funding round. Led by Speedinvest , along with CommerzVentures and Latitude, and supported by existing investors Shapers, Headline, Chalfen Ventures, and Triton Capital XYZ (formerly Kraken Ventures), this round will enable us to expand across Europe. Millions of users continue to face friction within the traditional banking system. Lengthy procedures and extensive information requirements can limit the speed and flexibility with which individuals manage their funds. These constraints, along with a rising demand for transparency and user control, illustrate why fully on-chain financial infrastructure is becoming increasingly relevant. With this new funding, our mission is to accelerate our product roadmap and expand beyond our home market in France. In the coming months, you’ll see innovative products designed to give you more freedom and control over your money. Stay tuned. Thank you to our investors and partners! Speed is everything. LFG! 🚀

Deblock

61,662 просмотров • 10 месяцев назад

The final Epoch is now complete. DNA becomes fully deflationary. 3 years ago, we bet on a revenue-share model before it was the meta. While the market was chasing high inflation tokens, we were building a sustainable system for the first truly on-chain DAO on Multiversᕽ. It was an experiment, and it is now battle-tested. The proof is on-chain. Over the last 4 epochs, the DAO generated enough revenue to buy back over 6m $DNA from the total supply. Even with EGLD dropping ~90% since our token fair-launch (with no raise, pre-mine, allocations, or hidden unlocks) $DNA sits at roughly the same USD price today as it did on Day 1. The DNA/EGLD pair has outperformed the market and remained healthy, proving the model works even in the toughest conditions. Now, the dynamic flips. Emissions have officially ended. We are entering a full deflationary cycle. No more DNA will be printed, but the DAO will keep buying. We expect the value of DNA to reflect this scarcity, while the power of your Subject X NFTs remains the key to accessing that value. What’s next? We switch our focus fully to strengthening the MultiversX ecosystem. We are here to build tools, products, and open-source tech that grow the chain. When EGLD grows, our products grow. When our products grow, the DAO earns more. When the DAO earns more, $DNA gets stronger. Thank you to everyone who made this journey possible. History is written. Now we continue building.
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The final Epoch is now complete. DNA becomes fully deflationary. 3 years ago, we bet on a revenue-share model before it was the meta. While the market was chasing high inflation tokens, we were building a sustainable system for the first truly on-chain DAO on Multiversᕽ. It was an experiment, and it is now battle-tested. The proof is on-chain. Over the last 4 epochs, the DAO generated enough revenue to buy back over 6m $DNA from the total supply. Even with EGLD dropping ~90% since our token fair-launch (with no raise, pre-mine, allocations, or hidden unlocks) $DNA sits at roughly the same USD price today as it did on Day 1. The DNA/EGLD pair has outperformed the market and remained healthy, proving the model works even in the toughest conditions. Now, the dynamic flips. Emissions have officially ended. We are entering a full deflationary cycle. No more DNA will be printed, but the DAO will keep buying. We expect the value of DNA to reflect this scarcity, while the power of your Subject X NFTs remains the key to accessing that value. What’s next? We switch our focus fully to strengthening the MultiversX ecosystem. We are here to build tools, products, and open-source tech that grow the chain. When EGLD grows, our products grow. When our products grow, the DAO earns more. When the DAO earns more, $DNA gets stronger. Thank you to everyone who made this journey possible. History is written. Now we continue building.

Project X 🧬

11,336 просмотров • 8 месяцев назад

📣 Solidus Ai Tech Data Center Secures 3-Year Global Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:
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📣 Solidus Ai Tech Data Center Secures 3-Year Global Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:

AITECH CLOUD NETWORK

79,413 просмотров • 1 год назад

At Uber a big problem for design teams and engineering teams was design source of truth. No one knew what the app truly looked like, so weekly a bunch of designers would get into a meeting room and check that the engineers correctly implemented the figma designs that they made Now with coding agents throughput of changes has increased an order of magnitude and it has become impossible to manually keep up. Here we used the Revyl CLI to create a flow of every state in the Uber design, by navigating our mobile use agent on an cloud iOS simulator. This is something that would have taken a team of designers tens of hours to recreate manually; All done in less than an hour asynchronously with a simple prompt. Enable your team to know what your users are actually seeing and empower coding agents to give your users a delightful experience without any blindspots Get started with our new free trial and create a map for your own app 🗺️
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At Uber a big problem for design teams and engineering teams was design source of truth. No one knew what the app truly looked like, so weekly a bunch of designers would get into a meeting room and check that the engineers correctly implemented the figma designs that they made Now with coding agents throughput of changes has increased an order of magnitude and it has become impossible to manually keep up. Here we used the Revyl CLI to create a flow of every state in the Uber design, by navigating our mobile use agent on an cloud iOS simulator. This is something that would have taken a team of designers tens of hours to recreate manually; All done in less than an hour asynchronously with a simple prompt. Enable your team to know what your users are actually seeing and empower coding agents to give your users a delightful experience without any blindspots Get started with our new free trial and create a map for your own app 🗺️

Anam Hira

96,508 просмотров • 5 месяцев назад

Everyone is waiting for the next big move in crypto. Meanwhile, the market underneath is already changing. Institutional crypto products are becoming more sophisticated. 21shares is adding staking directly to its ETH and DOT ETF names, while BlackRock and Fidelity are also moving deeper into staked ETH products. That matters because institutional exposure is evolving beyond simply holding an asset and waiting for price appreciation. Yield is becoming part of the product. But the market itself still has the same weakness we’ve seen for years: leverage. XRP went from roughly $0.99 to $1.69 in five days before the reversal wiped out hundreds of millions in leveraged longs. BTC, ETH and SOL were pulled into the move too. So while the financial rails are getting better, positioning can still get reckless very quickly. And this isn’t limited to crypto-native assets. RWA adoption is expanding through networks like BNB Chain, putting more real-world assets in front of more users. Now the problem shifts from issuance to liquidity. More assets across more chains means more distribution, but without interoperability, liquidity can remain fragmented. Even gaming sits somewhere in this transition. The fight around GTA 6’s physical ownership model is a reminder that digital assets are increasingly becoming licenses, access rights and programmable products rather than things people physically own. That’s the bigger shift I’m watching. Crypto isn’t developing in isolation anymore. ETFs, RWAs, digital ownership, tokenized assets and onchain markets are all moving toward the same direction: more financial and economic activity becoming digitally accessible. The question isn’t whether this transition is happening. It’s whether the infrastructure can keep up once everyone stops waiting and starts participating.
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Everyone is waiting for the next big move in crypto. Meanwhile, the market underneath is already changing. Institutional crypto products are becoming more sophisticated. 21shares is adding staking directly to its ETH and DOT ETF names, while BlackRock and Fidelity are also moving deeper into staked ETH products. That matters because institutional exposure is evolving beyond simply holding an asset and waiting for price appreciation. Yield is becoming part of the product. But the market itself still has the same weakness we’ve seen for years: leverage. XRP went from roughly $0.99 to $1.69 in five days before the reversal wiped out hundreds of millions in leveraged longs. BTC, ETH and SOL were pulled into the move too. So while the financial rails are getting better, positioning can still get reckless very quickly. And this isn’t limited to crypto-native assets. RWA adoption is expanding through networks like BNB Chain, putting more real-world assets in front of more users. Now the problem shifts from issuance to liquidity. More assets across more chains means more distribution, but without interoperability, liquidity can remain fragmented. Even gaming sits somewhere in this transition. The fight around GTA 6’s physical ownership model is a reminder that digital assets are increasingly becoming licenses, access rights and programmable products rather than things people physically own. That’s the bigger shift I’m watching. Crypto isn’t developing in isolation anymore. ETFs, RWAs, digital ownership, tokenized assets and onchain markets are all moving toward the same direction: more financial and economic activity becoming digitally accessible. The question isn’t whether this transition is happening. It’s whether the infrastructure can keep up once everyone stops waiting and starts participating.

DΞFI PΞNIΞL (🧠,🧠)

23,583 просмотров • 1 месяц назад

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.
0:13

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.

elvis

15,427 просмотров • 8 дней назад