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AI.R

Not Even the EPA Can Say What's Polluting the Air

Over the past 6 months, we benchmarked multiple tracking technologies for mobile, unpowered assets: construction gear, medical rentals, tools, shipping containers, and more. The goal: build a system that reliably tells you: Where is this item now?
When was it last seen?
What’s the cost per asset to do this at scale? Where is this item now? Where is this item now? When was it last seen? When was it last seen? What’s the cost per asset to do this at scale? What’s the cost per asset to do this at scale? We tested: Cellular GPS (LandAirSea, Samsara)
Passive/Active RFID (Zebra, Alien)
BLE Trackers (Tile, One-Key, etc.)
Apple AirTags + programmatic layer Cellular GPS (LandAirSea, Samsara) Passive/Active RFID (Zebra, Alien) BLE Trackers (Tile, One-Key, etc.) Apple AirTags + programmatic layer Only one approach gave us: High-fidelity passive tracking
Minimal labor
Predictable location updates in the wild
Sub-$4/month total cost High-fidelity passive tracking Minimal labor Predictable location updates in the wild Sub-$4/month total cost 🔴 GPS Trackers — Power-Hungry & Operationally Fragile lessCopyEdit[ Asset ]
 |
[ GPS Module ]
 |
[ LTE Modem ]---[ Carrier Network ]---[ Cloud Platform ]
 |
[ Battery ] lessCopyEdit[ Asset ]
 |
[ GPS Module ]
 |
[ LTE Modem ]---[ Carrier Network ]---[ Cloud Platform ]
 |
[ Battery ] What it’s good at: What it’s good at: Real-time tracking when you have cell signal
Fine-grained updates (every 10s–60s) Real-time tracking when you have cell signal Fine-grained updates (every 10s–60s) Failure modes in the field: Failure modes in the field: Battery depletion → dead device in 7–30 days
Indoor/urban canyons → GPS lock fails
SIM provisioning → ~3% failure rate during setup
Techs forget to charge or miswire installs Battery depletion → dead device in 7–30 days Indoor/urban canyons → GPS lock fails SIM provisioning → ~3% failure rate during setup Techs forget to charge or miswire installs Measured in field: Measured in field: Avg install time (non-hardwired): 18 min
Avg labor revisit per year: 5.7x
Location latency indoors: >1hr or failed ping Avg install time (non-hardwired): 18 min 18 min Avg labor revisit per year: 5.7x 5.7x Location latency indoors: >1hr or failed ping >1hr or failed ping GPS works for powered fleets. It breaks down hard for passive assets. GPS works for powered fleets. It breaks down hard for passive assets. Annual TCO per device: ~$400 \ ($150 hardware + $240 data + $50 labor) 🟠 RFID — Great for Warehouses, Not the Field lessCopyEdit[ RFID Tag ]---(Passive)---[ RFID Reader ]
 |
 [ Backend DB ] lessCopyEdit[ RFID Tag ]---(Passive)---[ RFID Reader ]
 |
 [ Backend DB ] Useful for: Useful for: Inventory control at fixed chokepoints
Bulk scanning in highly structured environments Inventory control at fixed chokepoints Bulk scanning in highly structured environments Limitations: Limitations: No real tracking — just “seen at gate X”
Requires infrastructure at every decision point
0 coverage outdoors, in transit, on job sites
Readers are expensive and fragile (EM interference prone) No real tracking — just “seen at gate X” Requires infrastructure at every decision point 0 coverage outdoors, in transit, on job sites Readers are expensive and fragile (EM interference prone) Cost Breakdown: Cost Breakdown: Passive tags: $0.12–$0.80


Reader infrastructure/site: $2,500–$10,000


Integration overhead: high Passive tags: $0.12–$0.80 Passive tags: $0.12–$0.80 Reader infrastructure/site: $2,500–$10,000 Reader infrastructure/site: $2,500–$10,000 Integration overhead: high Integration overhead: high Unless you control the entire environment, RFID creates visibility gaps you can't close. Unless you control the entire environment, RFID creates visibility gaps you can't close. Annual TCO (real deployments): $8k–$40k/site Annual TCO (real deployments): $8k–$40k/site 🟡 BLE Trackers — “Tracking” That Usually Isn’t cssCopyEdit[ BLE Beacon ] --x--> [ Needs Someone Running App ] cssCopyEdit[ BLE Beacon ] --x--> [ Needs Someone Running App ] Examples tested: Examples tested: Tile Pro
Milwaukee One-Key
Chipolo Business Beta Tile Pro Milwaukee One-Key Chipolo Business Beta Core issue: They rely on proprietary apps running in the background — no real mesh, just marketing. Core issue: no real mesh Mesh Density (urban tests): Mesh Density (urban tests): Tile: 2 updates/week/asset in SF
One-Key: 0 updates outside Milwaukee job sites
Battery life: ~12 months (replaceable CR2032) Tile: 2 updates/week/asset in SF One-Key: 0 updates outside Milwaukee job sites Battery life: ~12 months (replaceable CR2032) Key limitation: Key limitation: If no one’s running the app, the device is invisible. In practice, that means ~99%+ dead zones. If no one’s running the app, the device is invisible. In practice, that means ~99%+ dead zones. No way to manage at scale. No geofences. No asset dashboard. Just a few stale pings, if you're lucky. TCO: ~ $30–$60/year (still too high for something that barely works) TCO: ~ $30–$60/year (still too high for something that barely works) 🟢 AirTags — When Paired with the Right Stack, They Win lessCopyEdit[ AirTag ]---(BLE)---[ Any iPhone Nearby ]
 |
 [ Apple Find My Mesh ]
 |
 [ Programmatic Layer ]
 |
 [ AirPinpoint Dashboard ] lessCopyEdit[ AirTag ]---(BLE)---[ Any iPhone Nearby ]
 |
 [ Apple Find My Mesh ]
 |
 [ Programmatic Layer ]
 |
 [ AirPinpoint Dashboard ] Key technical advantages: Key technical advantages: BLE beaconing interval: ~800ms (adaptive)
U1 chip + BLE triangulation improves spatial accuracy
Global passive mesh: 2.2B+ iOS devices relay encrypted updates
Battery: 2–4 years on CR2032
Range: We observed ~0.2–2.3 miles real-world handoff distance in cities BLE beaconing interval: ~800ms (adaptive) U1 chip + BLE triangulation improves spatial accuracy Global passive mesh: 2.2B+ iOS devices relay encrypted updates 2.2B+ iOS devices Battery: 2–4 years on CR2032 Range: We observed ~0.2–2.3 miles real-world handoff distance in cities Test results: Test results: Urban ping latency: <8 minutes
Suburban latency: ~12–45 minutes
Dense indoor location accuracy: ~10–15m radius
Deployment time: <60 seconds per asset
No SIM, no charge cycles, no field config Urban ping latency: <8 minutes <8 minutes Suburban latency: ~12–45 minutes ~12–45 minutes Dense indoor location accuracy: ~10–15m radius Deployment time: <60 seconds per asset <60 seconds No SIM, no charge cycles, no field config This is the only BLE-based system with actual nationwide mesh reliability. This is the only BLE-based system with actual nationwide mesh reliability. AirTag Comprehensive CR2032 Battery Brand Comparison Based on extensive empirical testing of CR2032 batteries under conditions similar to AirTag operation, here's how different brands perform: Brand

Runtime (Hours)

Runtime (Approx. Months)*

Cost per Cell

Value Rating (Hours/$)



Panasonic

1500

12.5

$1.04

1442



Voniko

1448

12.1

$0.83

1745



Maxell

1444

12.0

$0.58

2490



Toshiba

1325

11.0

$0.64

2070



Harbor Freight

1307

10.9

$0.75

1743



Energizer

1307

10.9

$1.28

1021



Duracell

1298

10.8

$1.81

717



AC Delco

1223

10.2

$0.79

1548



Nightkonic

1186

9.9

$0.24

4942



Murata

1175

9.8

$0.45

2611



Hua Dao

642

5.4

$0.14

4586 Brand

Runtime (Hours)

Runtime (Approx. Months)*

Cost per Cell

Value Rating (Hours/$)



Panasonic

1500

12.5

$1.04

1442



Voniko

1448

12.1

$0.83

1745



Maxell

1444

12.0

$0.58

2490



Toshiba

1325

11.0

$0.64

2070



Harbor Freight

1307

10.9

$0.75

1743



Energizer

1307

10.9

$1.28

1021



Duracell

1298

10.8

$1.81

717



AC Delco

1223

10.2

$0.79

1548



Nightkonic

1186

9.9

$0.24

4942



Murata

1175

9.8

$0.45

2611



Hua Dao

642

5.4

$0.14

4586 Brand

Runtime (Hours)

Runtime (Approx. Months)*

Cost per Cell

Value Rating (Hours/$) Brand Brand Runtime (Hours) Runtime (Hours) Runtime (Approx. Months)* Runtime (Approx. Months)* Cost per Cell Cost per Cell Value Rating (Hours/$) Value Rating (Hours/$) Panasonic

1500

12.5

$1.04

1442 Panasonic Panasonic 1500 1500 12.5 12.5 $1.04 $1.04 1442 1442 Voniko

1448

12.1

$0.83

1745 Voniko Voniko 1448 1448 12.1 12.1 $0.83 $0.83 1745 1745 Maxell

1444

12.0

$0.58

2490 Maxell Maxell 1444 1444 12.0 12.0 $0.58 $0.58 2490 2490 Toshiba

1325

11.0

$0.64

2070 Toshiba Toshiba 1325 1325 11.0 11.0 $0.64 $0.64 2070 2070 Harbor Freight

1307

10.9

$0.75

1743 Harbor Freight Harbor Freight 1307 1307 10.9 10.9 $0.75 $0.75 1743 1743 Energizer

1307

10.9

$1.28

1021 Energizer Energizer 1307 1307 10.9 10.9 $1.28 $1.28 1021 1021 Duracell

1298

10.8

$1.81

717 Duracell Duracell 1298 1298 10.8 10.8 $1.81 $1.81 717 717 AC Delco

1223

10.2

$0.79

1548 AC Delco AC Delco 1223 1223 10.2 10.2 $0.79 $0.79 1548 1548 Nightkonic

1186

9.9

$0.24

4942 Nightkonic Nightkonic 1186 1186 9.9 9.9 $0.24 $0.24 4942 4942 Murata

1175

9.8

$0.45

2611 Murata Murata 1175 1175 9.8 9.8 $0.45 $0.45 2611 2611 Hua Dao

642

5.4

$0.14

4586 Hua Dao Hua Dao 642 642 5.4 5.4 $0.14 $0.14 4586 4586 *Converted from accelerated test conditions to approximate real-world months based on typical AirTag usage patterns Converted from accelerated test conditions to approximate real-world months based on typical AirTag usage patterns Test Methodology: All batteries were tested with a consistent 80μA base load (approximately 16x the typical AirTag sleep current) with periodic higher current pulse loads similar to Bluetooth transmissions. Tests were normalized to account for minor variations in test fixtures. Test Methodology 🧮 Real Cost Comparison (Per 100 Assets, Per Year) Tech

Hardware

Labor

Subscriptions

TCO (Year 1)



GPS

$15,000

$5,000

$36,000

$56,000



RFID

$2,000

$4,000

$0

$6,000+



BLE

$3,000

$3,000

$0

$6,000



AirTag + Platform

$2,000

$500

$47.88 (flat)

~$2,548 Tech

Hardware

Labor

Subscriptions

TCO (Year 1)



GPS

$15,000

$5,000

$36,000

$56,000



RFID

$2,000

$4,000

$0

$6,000+



BLE

$3,000

$3,000

$0

$6,000



AirTag + Platform

$2,000

$500

$47.88 (flat)

~$2,548 Tech

Hardware

Labor

Subscriptions

TCO (Year 1) Tech Tech Hardware Hardware Labor Labor Subscriptions Subscriptions TCO (Year 1) TCO (Year 1) GPS

$15,000

$5,000

$36,000

$56,000 GPS GPS $15,000 $15,000 $5,000 $5,000 $36,000 $36,000 $56,000 $56,000 $56,000 RFID

$2,000

$4,000

$0

$6,000+ RFID RFID $2,000 $2,000 $4,000 $4,000 $0 $0 $6,000+ $6,000+ $6,000+ BLE

$3,000

$3,000

$0

$6,000 BLE BLE $3,000 $3,000 $3,000 $3,000 $0 $0 $6,000 $6,000 $6,000 AirTag + Platform

$2,000

$500

$47.88 (flat)

~$2,548 AirTag + Platform AirTag + Platform AirTag + Platform $2,000 $2,000 $2,000 $500 $500 $500 $47.88 (flat) $47.88 (flat) $47.88 (flat) ~$2,548 ~$2,548 ~$2,548 ✅ Final Notes AirTags on an ios device alone are not sufficient for business use. They lack: Asset naming / grouping


Geofencing


Bulk management


Alerting / integrations


Silent mode (you don’t want customers getting “you’re being tracked” alerts) Asset naming / grouping Asset naming / grouping Geofencing Geofencing Bulk management Bulk management Alerting / integrations Alerting / integrations Silent mode (you don’t want customers getting “you’re being tracked” alerts) Silent mode (you don’t want customers getting “you’re being tracked” alerts) But when paired with a 3rd party platform that solves those (like AirPinpoint) they become arguably the highest-leverage, lowest-friction tracking layer available for unpowered asset fleets. highest-leverage, lowest-friction tracking layer available If you’re trying to track equipment, rentals, forklifts, pumps, dollies, carts, containers, or anything that moves but doesn’t have power — this is the stack to beat. this is the stack to beat

We Tested GPS, RFID, BLE, and AirTags for Asset Tracking — Only One Actually Worked

SINGAPORE, Singapore, April 22nd, 2024, Chainwire io.net and Aethir, two leading decentralized computing infrastructure providers, have announced a strategic collaboration to enhance GPU access and performance for AI, machine learning, and gaming applications. io.net and Aethir, two leading decentralized computing infrastructure providers, have announced a strategic collaboration to enhance GPU access and performance for AI, machine learning, and gaming applications. The collaboration will integrate io.net's virtualization technology with Aethir's enterprise-grade distributed GPU cloud, creating a powerful, low-latency, and cost-effective solution for GPU-intensive workloads. The collaboration will integrate io.net's virtualization technology with Aethir's enterprise-grade distributed GPU cloud, creating a powerful, low-latency, and cost-effective solution for GPU-intensive workloads. The collaboration between io.net and Aethir aims to address the rapidly growing demand for GPU computing, with the market projected to quadruple in size by 2030. The collaboration between io.net and Aethir aims to address the rapidly growing demand for GPU computing, with the market projected to quadruple in size by 2030. quadruple in size quadruple in size io.net and Aethir, two leaders in the computing infrastructure space, have announced a groundbreaking collaboration that will enhance the capabilities and reach of decentralized computing and GPU infrastructure. io.net io.net Aethir Aethir The collaboration between Aethir and io.net aims to provide an efficient, sustainable, and highly scalable solution for the rapidly growing GPU computing demand worldwide. io.net’s best-in-class virtualization, orchestration, and networking layers enable AI/ML engineers and other builders to instantly deploy Ray and Kubernetes clusters on top of a network of over 600,000 decentralized GPU and CPUs. By expanding io.net’s software layer to also include other partners, io.net is building a “DePIN of DePINs” to provide maximum optionality, access, and cost efficiency to AI companies. Aethir’s distributed cloud infrastructure is built to provide enterprise clients from the AI, machine learning, and gaming industries with lightning-fast and highly scalable GPU cloud resources. Aethir is pioneering a fully enterprise-grade and highly distributed GPU cloud, leveraging a multitude of globally distributed servers to cut the physical distance between GPUs and end-users, aiming at improving performance and lowering costs for enterprises. Thanks to a constantly growing network of over 40,000 top-shelf GPUs, including 3,000 NVIDIA H100s, Aethir is able to provide enterprise-grade GPU computing wherever it’s needed, at scale. Making GPU Computing More Accessible, Affordable, and Efficient Under the terms of the new alliance, both DePIN ecosystems will be integrated to provide customers with a flawless GPU computing experience across various workloads, including clustering and serverless inferencing. By combining Aethir’s decentralized cloud infrastructure and enterprise-grade platform with io.net Cloud’s self-serve, on-demand virtualization technology, clients should be able to tackle even the most GPU-intensive workloads. According to the team together, Aethir and io.net’s networks can pool compute power from hundreds of thousands of decentralized sources simultaneously to streamline end-user experiences with negligible latency at scale. Reciprocal integration means that io.net’s clustering solution will be available on Aethir’s enterprise platform as well, allowing enterprises to have a wider variety of GPU-based compute options with ultimate flexibility. This alliance accelerates Aethir’s mission to onboard millions of new AI projects, applications, and cloud gamers through its enterprise-grade DePIN ecosystem. The collaboration represents more than a technical integration, as both companies have pledged to cooperate on marketing and community endeavors to progress the overall ecosystem. Moreover, an airdrop swap will see Aethir airdrop $50Mf $ATH tokens to io.net community members and io.net will airdrop $50M of $IO to Aethir community members. “The synergies between io.net and Aethir are as obvious as they are extensive, and we are delighted to work hand in glove to provide users with best-in-class cloud compute services,” said Ahmad Shadid, CEO of io.net.“We are looking forward to bringing our enterprise-grade and high-scale GPU compute capacity to the overall ecosystem,” added Aethir CEO Daniel Wang. “The synergies between io.net and Aethir are as obvious as they are extensive, and we are delighted to work hand in glove to provide users with best-in-class cloud compute services,” said Ahmad Shadid, CEO of io.net.“We are looking forward to bringing our enterprise-grade and high-scale GPU compute capacity to the overall ecosystem,” added Aethir CEO Daniel Wang. “Making high-performance compute accessible to all is a mission we both share, and this collaboration brings the world an important step closer to achieving that.” “Making high-performance compute accessible to all is a mission we both share, and this collaboration brings the world an important step closer to achieving that.” With both entities intent on broadening the on-demand compute power available to users and offering device owners the opportunity to earn rewards, this collaboration marks a major milestone. About io.net io.net deploys and manages on-demand, decentralized GPU clusters in the IO Network. IO Network is a decentralized physical infrastructure network (DePIN) of geo-distributed GPUs from multiple sources. io.net io.net Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming. io.net democratizes access to GPU compute capacity while reducing costs, expediting lead times, and expanding choice for engineers and businesses. Access compute capacity for a fraction of the cost or become a capacity supplier at https://www.io.net. https://www.io.net https://www.io.net Website | Documentation | Twitter | Discord | Telegram | LinkedIn Website Website Documentation Documentation Twitter Twitter Discord Discord Telegram Telegram LinkedIn LinkedIn About Aethir Aethir is the leading DePIN, Enterprise-grade, AI-focused GPU-as-a-Service provider in the market. Leveraging a highly distributed cloud computing infrastructure allows GPU providers to serve AI and gaming customers at scale. Aethir Aethir Aethir aims to serve enterprise AI clients who need the world’s most powerful AI chips at scale, and also to support hundreds of thousands of cloud gaming players with best-in-class experiences around the world. All of this is accomplished with a decentralized architecture, bringing the GPU cloud to the community and making compute accessible for all. Website | Documentation | Twitter | Discord | Telegram | LinkedIn Website Website Documentation Documentation Twitter Twitter Discord Discord Telegram Telegram LinkedIn LinkedIn Contact Marketing Director Diksha Aethir diksha@aethir.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

io.net And Aethir Announce Strategic Collaboration And Airdrop Swap

io.net og Aethir annoncerer strategisk samarbejde og Airdrop Swap

io.net y Aethir anuncian colaboración estratégica y un intercambio de airdrops

io.net و Aethir همکاری استراتژیک و مبادله Airdrop را اعلام کردند

Az io.net és Aethir bejelentette a stratégiai együttműködést és az Airdrop cserét

io.netとAethirが戦略的提携とエアドロップ交換を発表

io.net жана Аэтир стратегиялык кызматташтыкты жана Airdrop алмашууну жарыялады

io.net र Aethir ले रणनीतिक सहकार्य र Airdrop Swap को घोषणा गरे

io.net Y Aethir Willanku Colaboración Estratégica Y Airdrop Swap

io.net Na Aethir Gutangaza Ubufatanye Bwubufatanye na Swap

io.net a Aethir oznamujú strategickú spoluprácu a výmenu výsadkov

ио.нет и Аетхир најављују стратешку сарадњу и размену Аирдроп-а

I-io.net Futhi U-Aethir Bamemezela Ukubambisana Kwamasu Nokushintshwa Kwe-Airdrop

Seoul, Korea, February 27th, 2025, Chainwire/--Moca Network, a flagship project by Animoca Brands to build the chain-agnostic digital identity infrastructure for the open internet, and SK Planet, one of South Korea’s largest information and communications technology platforms, today announced the launch of OKI Club, a premium membership program that integrates Web3 technology into SK Planet’s OK Cashbag app, which is South Korea’s largest integrated rewards service. Powered by Moca Network’s AIR Kit SDK (software development kit), OKI Club enables retail users to access Web3 services natively within a Web2 app, bringing blockchain functionality and interoperable digital identity to one of South Korea’s most widely used consumer platforms. SK Planet users can now join OKI Club and start earning rewards by signing up for an AIR account within their OK Cashbag app. OKI Club represents the first large-scale enterprise integration of AIR Kit, which includes a global account, identity, and reputation layer that enables users to accumulate, own, and use their assets with a unified digital identity across multiple ecosystems and applications. By enabling consumers to maximize their Web3 exposure to experiences and rewards via a single login entry point, OKI Club provides an engaging and rewarding path to onboard retail consumers in South Korea to Web3. Users of OK Cashbag who sign up for an AIR account are able to earn rewards for their participation in OKI Club in the form of OCB Points and MOCA Coin; by accruing identity and reputation data within their AIR accounts users will unlock additional in-app benefits within OK Cashbag as well as cross-ecosystem benefits from the broader Moca Network. Prior to launch, OKI Club attracted over 600,000 pre-registrations for early access from unique KYC’d users of OK Cashbag, suggesting there is a strong demand in South Korea for blockchain-integrated consumer applications. By tapping SK Planet’s 28 million KYC-verified users, OKI Club and the partnership between Moca Network and SK Planet (announced on 26 November 2024) are setting the stage for widespread Web3 adoption on one of South Korea’s most popular consumer platforms. The collaboration aims to expand the utility of MOCA Coin across gaming, intellectual property (IP), sports, and entertainment as SK Planet leverages Web3 to enhance consumer engagement strategies. Kenneth Shek, the project lead of Moca Network, said: “The launch of OKI Club is a major milestone for Moca Network’s AIR Kit, marking its integration into one of the leading Web2 consumer platforms in Asia and bringing global account and interoperable digital identity to a broad retail audience. This partnership blurs the line between Web2 and Web3 by having AIR Kit natively integrated with the consumer app with millions of users and its existing internet services, and we are excited to expand together with SK Planet’s consumer ecosystem.” Kyosu Kim, CBO at SK Planet, said: “OKI Club is a free membership service designed to maximize customer benefits across everyday lifestyle brands. Through strategic partnerships with Web3 companies like Moca Network, we will continue to discover new benefits and develop innovative programs, ensuring OKI Club becomes the No.1 membership program that satisfies both our partners and customers.” About Moca Network Moca Network, one of Animoca Brands’ flagship projects, is building the chain-agnostic digital identity infrastructure for the open internet by providing one universal account for a user’s assets, identity, and reputation across multiple ecosystems. Moca Network is powered by MOCA Coin, which serves as the utility token for data generation, storage, verification for users, AI agents, and DAO governance. MOCA Coin is issued by the MOCA Foundation. The primary product built by Moca Network is AIR Kit, a digital identity infrastructure that enables Web2 and Web3 projects to create a universal embedded account for users to own and use digital assets, identity, and reputation data, while gaining access to a suite of DeFi and consumer services provided by Moca Network’s partners. AIR Kit empowers large user base apps to create their own app ecosystem natively with embedded blockchain features, while ensuring these users can use the same account, identity, reputation across all consumer apps on any chains that have adopted AIR Kit. Website: https://moca.network X: https://x.com/Moca_Network Medium: https://medium.com/mocaverse Discord: http://discord.gg/MocaverseNFT About SK Planet SK Planet is a leading Data & Tech company in South Korea. Operating the country’s largest integrated rewards service, OK Cashbag, and the Web3 wallet UPTN Station, SK Planet is at the forefront of integrating technology with user-centric services. For more information, please visit http://www.skplanet.co.kr/eng. About Animoca Brands Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. It has received broad industry and market recognition including Deloitte Tech Fast, Fortune Crypto 40, Top 50 Blockchain Game Companies 2025, and Financial Times’ High Growth Companies Asia-Pacific. Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network, Anichess, The Sandbox, Open Campus, NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provision, and institutional research to help external Web3 projects grow; and investment management, with a portfolio of investments in over 540 companies including industry leaders Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others. For more information, users can visit www.animocabrands.com or follow on X, YouTube, Instagram, LinkedIn, Facebook, and TikTok. Contact Animoca Brands Corporate Communications press@animocabrands.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here Seoul, Korea, February 27th, 2025, Chainwire/--Moca Network, a flagship project by Animoca Brands to build the chain-agnostic digital identity infrastructure for the open internet, and SK Planet , one of South Korea’s largest information and communications technology platforms, today announced the launch of OKI Club, a premium membership program that integrates Web3 technology into SK Planet’s OK Cashbag app, which is South Korea’s largest integrated rewards service. Animoca Brands Animoca Brands SK Planet SK Planet Powered by Moca Network’s AIR Kit SDK (software development kit), OKI Club enables retail users to access Web3 services natively within a Web2 app, bringing blockchain functionality and interoperable digital identity to one of South Korea’s most widely used consumer platforms. SK Planet users can now join OKI Club and start earning rewards by signing up for an AIR account within their OK Cashbag app. OKI Club represents the first large-scale enterprise integration of AIR Kit, which includes a global account, identity, and reputation layer that enables users to accumulate, own, and use their assets with a unified digital identity across multiple ecosystems and applications. By enabling consumers to maximize their Web3 exposure to experiences and rewards via a single login entry point, OKI Club provides an engaging and rewarding path to onboard retail consumers in South Korea to Web3. Users of OK Cashbag who sign up for an AIR account are able to earn rewards for their participation in OKI Club in the form of OCB Points and MOCA Coin; by accruing identity and reputation data within their AIR accounts users will unlock additional in-app benefits within OK Cashbag as well as cross-ecosystem benefits from the broader Moca Network. Prior to launch, OKI Club attracted over 600,000 pre-registrations for early access from unique KYC’d users of OK Cashbag, suggesting there is a strong demand in South Korea for blockchain-integrated consumer applications. By tapping SK Planet’s 28 million KYC-verified users, OKI Club and the partnership between Moca Network and SK Planet ( announced on 26 November 2024 ) are setting the stage for widespread Web3 adoption on one of South Korea’s most popular consumer platforms. announced on 26 November 2024 announced on 26 November 2024 The collaboration aims to expand the utility of MOCA Coin across gaming, intellectual property (IP), sports, and entertainment as SK Planet leverages Web3 to enhance consumer engagement strategies. Kenneth Shek, the project lead of Moca Network, said: “The launch of OKI Club is a major milestone for Moca Network’s AIR Kit, marking its integration into one of the leading Web2 consumer platforms in Asia and bringing global account and interoperable digital identity to a broad retail audience. This partnership blurs the line between Web2 and Web3 by having AIR Kit natively integrated with the consumer app with millions of users and its existing internet services, and we are excited to expand together with SK Planet’s consumer ecosystem.” Kenneth Shek, the project lead of Moca Network, said: “The launch of OKI Club is a major milestone for Moca Network’s AIR Kit, marking its integration into one of the leading Web2 consumer platforms in Asia and bringing global account and interoperable digital identity to a broad retail audience. This partnership blurs the line between Web2 and Web3 by having AIR Kit natively integrated with the consumer app with millions of users and its existing internet services, and we are excited to expand together with SK Planet’s consumer ecosystem.” Kyosu Kim, CBO at SK Planet, said: “OKI Club is a free membership service designed to maximize customer benefits across everyday lifestyle brands. Through strategic partnerships with Web3 companies like Moca Network, we will continue to discover new benefits and develop innovative programs, ensuring OKI Club becomes the No.1 membership program that satisfies both our partners and customers.” Kyosu Kim, CBO at SK Planet, said: “OKI Club is a free membership service designed to maximize customer benefits across everyday lifestyle brands. Through strategic partnerships with Web3 companies like Moca Network, we will continue to discover new benefits and develop innovative programs, ensuring OKI Club becomes the No.1 membership program that satisfies both our partners and customers.” About Moca Network Moca Network , one of Animoca Brands’ flagship projects, is building the chain-agnostic digital identity infrastructure for the open internet by providing one universal account for a user’s assets, identity, and reputation across multiple ecosystems. Moca Network Moca Network Moca Network is powered by MOCA Coin, which serves as the utility token for data generation, storage, verification for users, AI agents, and DAO governance. MOCA Coin is issued by the MOCA Foundation. The primary product built by Moca Network is AIR Kit, a digital identity infrastructure that enables Web2 and Web3 projects to create a universal embedded account for users to own and use digital assets, identity, and reputation data, while gaining access to a suite of DeFi and consumer services provided by Moca Network’s partners. AIR Kit empowers large user base apps to create their own app ecosystem natively with embedded blockchain features, while ensuring these users can use the same account, identity, reputation across all consumer apps on any chains that have adopted AIR Kit. Website: https://moca.network https://moca.network https://moca.network X: https://x.com/Moca_Network https://x.com/Moca_Network https://x.com/Moca_Network Medium: https://medium.com/mocaverse https://medium.com/mocaverse https://medium.com/mocaverse Discord: http://discord.gg/MocaverseNFT http://discord.gg/MocaverseNFT http://discord.gg/MocaverseNFT About SK Planet SK Planet is a leading Data & Tech company in South Korea. Operating the country’s largest integrated rewards service, OK Cashbag, and the Web3 wallet UPTN Station, SK Planet is at the forefront of integrating technology with user-centric services. For more information, please visit http://www.skplanet.co.kr/eng . SK Planet SK Planet http://www.skplanet.co.kr/eng http://www.skplanet.co.kr/eng About Animoca Brands Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. It has received broad industry and market recognition including Deloitte Tech Fast , Fortune Crypto 40 , Top 50 Blockchain Game Companies 2025 , and Financial Times’ High Growth Companies Asia-Pacific . Animoca Brands Corporation Limited Animoca Brands Corporation Limited Deloitte Tech Fast Deloitte Tech Fast Fortune Crypto 40 Fortune Crypto 40 Top 50 Blockchain Game Companies 2025 Top 50 Blockchain Game Companies 2025 High Growth Companies Asia-Pacific High Growth Companies Asia-Pacific Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network , Anichess , The Sandbox , Open Campus , NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provision, and institutional research to help external Web3 projects grow; and investment management, with a portfolio of investments in over 540 companies including industry leaders Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others. Animoca Brands Animoca Brands Moca Network Moca Network Anichess Anichess The Sandbox The Sandbox Open Campus Open Campus For more information, users can visit www.animocabrands.com or follow on X , YouTube , Instagram , LinkedIn , Facebook , and TikTok . www.animocabrands.com www.animocabrands.com X X YouTube YouTube Instagram Instagram LinkedIn LinkedIn Facebook Facebook TikTok TikTok Contact Animoca Brands Corporate Communications press@animocabrands.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Moca Network And SK Planet Launch OKI Club, Marking First Large-scale Enterprise Use Of AIR Kit

Moca Network і SK Planet запускаюць OKI Club, адзначаючы першае буйнамаштабнае выкарыстанне камплекта AIR для прадпрыемстваў

Moca Network и SK Planet стартират OKI Club, отбелязвайки първото широкомащабно корпоративно използване на AIR Kit

Moca Network y SK Planet lanzan OKI Club, el primer uso empresarial a gran escala del kit AIR

Moca Network ja SK Planet lanseeraavat OKI Clubin, mikä merkitsee ensimmäistä AIR Kitin laajamittaista yrityskäyttöä

Moca Network ו-SK Planet משיקים את מועדון OKI, מציינים את השימוש הראשון בקנה מידה גדול של AIR בערכת AIR

Moca NetworkとSK PlanetがOKI Clubを立ち上げ、AIR Kitの初の大規模企業利用を実現

Moca Network және SK Planet OKI клубын іске қосты, бұл AIR жинағының алғашқы кең ауқымды кәсіпорында қолданылуын белгілейді

Rangkaian Moca Dan SK Planet Melancarkan Kelab OKI, Menandakan Penggunaan AIR Kit Berskala Besar Pertama oleh Perusahaan

Moca Network Le SK Planet Thakgola OKI Club, Swaya Pele Kgolo-tekanyo Enterprise Tšhomišo Ya AIR Kit

Moca Red Y SK Planet OKI Clubta Lanzanku, Ñawpaqta Hatun Escala Empresa Uso De AIR Kit

Moca Network dhe SK Planet Launch OKI Club, duke shënuar përdorimin e parë në shkallë të gjerë të kompletit AIR

Mtandao wa Moca na SK Planet Uzinduzi Klabu ya OKI, ikiashiria Matumizi ya Kwanza ya Kibiashara ya AIR Kit

As a leading player in the crypto gaming space, BC.GAME has launched an airdrop in the Solana ecosystem. The platform distributed 400 million $BC tokens, further expanding its presence in the blockchain space. BC.GAME was the first to airdrop tokens to Pump.fun users, offering them an opportunity to receive rewards ahead of other platforms. Details of the Airdrop for Pump.fun Users Since its launch in January 2024, Pump.fun has rapidly become one of Solana's major meme coin creation and trading platforms. Meanwhile, an official airdrop has yet to be announced by Pump. fun, BC.GAME is stepping in with a larger, earlier airdrop plan to get ahead of the game. A snapshot was taken of all Pump.fun addresses that completed at least 10 transactions between January 31, 2024, and February 13, 2025. These addresses were then ranked based on their absolute profit or loss during this period. The top 100,000 addresses were eligible to receive the airdrop, with rewards distributed as follows: Top 1,000 users: 30,000 $BC each
Ranks 1,001 - 2,000: 25,000 $BC each
Ranks 2,001 - 10,000: 10,000 $BC each
Ranks 10,001 - 50,000: 4,000 $BC each
Ranks 50,001 - 100,000: 2,100 $BC each In total, 400 million $BC tokens were distributed among 100,000 users. For further details, including a list of eligible addresses, users can check here. Fair and Transparent Distribution Process BC.GAME’s airdrop was designed to prioritize fairness and transparency. By offering a "Provably Fair" distribution, with clear rules and publicly available addresses, the initiative ensured a fully transparent process. For verification and more details, a snapshot of the eligible airdrop addresses can be found at this link. Commitment to Trust and Wealth Creation BC.GAME's core philosophy is rooted in trust and wealth creation. This airdrop highlighted both principles by dedicating significant resources to a fair promotion that not only built trust but also fostered wealth for its users. The airdrop was expected to increase the number of holders and trading volume on Solana, growing the community to hundreds of thousands of users while boosting liquidity. About BC.GAME BC.GAME is a premier crypto gaming platform, offering a wide variety of exciting games and the opportunity to win big in a secure, decentralized environment. With an unwavering commitment to fairness, transparency, and community engagement, BC.GAME quickly became one of the most trusted names in the blockchain-based gaming space. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here As a leading player in the crypto gaming space, BC.GAME has launched an airdrop in the Solana ecosystem. The platform distributed 400 million $BC tokens , further expanding its presence in the blockchain space. BC.GAME was the first to airdrop tokens to Pump.fun users, offering them an opportunity to receive rewards ahead of other platforms. BC.GAME BC.GAME $BC tokens $BC tokens Details of the Airdrop for Pump.fun Users Since its launch in January 2024, Pump.fun has rapidly become one of Solana's major meme coin creation and trading platforms. Meanwhile, an official airdrop has yet to be announced by Pump. fun, BC.GAME is stepping in with a larger, earlier airdrop plan to get ahead of the game. A snapshot was taken of all Pump.fun addresses that completed at least 10 transactions between January 31, 2024, and February 13, 2025. These addresses were then ranked based on their absolute profit or loss during this period. The top 100,000 addresses were eligible to receive the airdrop, with rewards distributed as follows: Top 1,000 users: 30,000 $BC each Ranks 1,001 - 2,000: 25,000 $BC each Ranks 2,001 - 10,000: 10,000 $BC each Ranks 10,001 - 50,000: 4,000 $BC each Ranks 50,001 - 100,000: 2,100 $BC each Top 1,000 users: 30,000 $BC each Ranks 1,001 - 2,000: 25,000 $BC each Ranks 2,001 - 10,000: 10,000 $BC each Ranks 10,001 - 50,000: 4,000 $BC each Ranks 50,001 - 100,000: 2,100 $BC each In total, 400 million $BC tokens were distributed among 100,000 users. For further details, including a list of eligible addresses, users can check here . here here Fair and Transparent Distribution Process BC.GAME’s airdrop was designed to prioritize fairness and transparency. By offering a "Provably Fair" distribution, with clear rules and publicly available addresses, the initiative ensured a fully transparent process. For verification and more details, a snapshot of the eligible airdrop addresses can be found at this link . link link Commitment to Trust and Wealth Creation BC.GAME's core philosophy is rooted in trust and wealth creation. This airdrop highlighted both principles by dedicating significant resources to a fair promotion that not only built trust but also fostered wealth for its users. The airdrop was expected to increase the number of holders and trading volume on Solana, growing the community to hundreds of thousands of users while boosting liquidity. About BC.GAME BC.GAME is a premier crypto gaming platform, offering a wide variety of exciting games and the opportunity to win big in a secure, decentralized environment. With an unwavering commitment to fairness, transparency, and community engagement, BC.GAME quickly became one of the most trusted names in the blockchain-based gaming space. BC.GAME BC.GAME This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

BC.GAME Launches Pioneering Solana Airdrop With 400 Million $BC Tokens, Promising Full Transparency

BC.GAME በ400ሚሊየን ዶላር ቢሲ ቶከኖች ሙሉ ግልጽነት በመስጠት አቅኚ ሶላና ኤርድሮፕን ጀመረ።

BC.GAME lanza un airdrop pionero en Solana con 400 millones de tokens $BC y promete transparencia total

BC.GAME lanseeraa uraauurtavan Solana Airdropin 400 miljoonan dollarin BC-tokeneilla, mikä lupaa täydellistä läpinäkyvyyttä

BC.GAME lanse Solana Airdrop pyonye ak 400 milyon dola $BC tokens, li pwomèt tout transparans

BC.GAME、完全な透明性を約束する4億$BCトークンによる先駆的なSolanaエアドロップを開始

BC.GAME Ebandi Pionnier Solana Airdrop Na 400 Million $BC Tokens, Elaki Transparence Plein

BC.GAME Melancarkan Perintis Solana Airdrop Dengan 400 Juta Token $BC, Menjanjikan Ketelusan Penuh

BC.GAME lanceert baanbrekende Solana Airdrop met 400 miljoen $BC-tokens, met de belofte van volledige transparantie

BC.GAME запускает новаторскую акцию Solana Airdrop с 400 миллионами токенов $BC, обещая полную прозрачность

BC.GAME Yatangije Pioneering Solana Airdrop Hamwe na Miliyoni 400 $ BC Tokens, Isezeranya Byuzuye

BC.GAME miladydan öňki 400 million dollarlyk token bilen pioner Solana howa gämisini işe girizdi

BC.GAME 推出开创性的 Solana 空投，发放 4 亿 $BC 代币，承诺完全透明

Authors:
(1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es);
(2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain;
(3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.2 Material Selection 3.3 Manufacturing 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.5 Weight Carrying Experiments 6 Conclusions Funding Information A. Conducted Experiments and References 5 Results 5.1 Final PAUL version Although the layout of the pneumatic bench allows working with up to 4 segments, it was thought that using 3 would allow the different problems linked to redundancy to be tackled without increasing the weight of the robot too much or requiring the tubes –which pass through the interior of the segments – to have an excessive amount of space. It is true that the tubes of the other three could pass through the first module, nevertheless, it was thought that the stiffness they would introduce by being so compressed could make it difficult to bend the initial segment. Since it is also the segment that has to exert the most force, as it is the one that supports the weight of the other segments, the risk of punctures could be increased. Therefore, a robot consisting of three identical modules was assembled, standing at a total height of 390 mm (with each segment measuring 100 mm, intersegment connections 20 mm each, and the vision trihedron rod 30 mm). Under these configurations, the estimated weight of PAUL’s arm is around 600 g. The structure protecting the manipulator is a cube with a side of 500 mm. Pressure of the pneumatic line was established in 1.2 bar. Examples of PAUL reaching different positions are depicted in Figure 13. 5.2 Workspace Analysis The analysis of the workspace has been carried out experimentally, based on the data taken to generate the dataset. Figure 14 shows the workspace of a segment. As can be seen, this is a surface, as the segment has two degrees of freedom if the condition that at least one valve should remain deflated is imposed. The surface can be considered as the union of three surfaces intersecting at the central point, which corresponds to the configuration of all deflated bladders. The three surfaces are roughly spherical in shape. If the PCC model were completely valid for the robot, these would be perfect spheres, as the ends of a set of equal-length arcs of circumference with a common origin engrench a circle. Since this is not exactly the case, the generated surfaces only resemble the sphericity predicted by the constant curvature model. The addition of a second segment already generates a 4-D workspace that is difficult to represent. The generation of this is a consequence of the fact that, from each point on the surface of the workspace of a segment, another similar surface is generated. The union of all of these surfaces, which arise from the points on the surface of the first segment, results in the two-segment workspace. This is a volume in which, in addition, each point can be reached from two different orientations, thus leaving latent the four degrees of freedom that PAUL would have with only two modules. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Authors: Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.2 Pneumatic Arms 2.3 Control of Soft Robots 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.1 Robot Design 3.2 Material Selection 3.2 Material Selection 3.3 Manufacturing 3.3 Manufacturing 3.4 Actuation Bank 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.1 Hardware Setup 4.2 Vision Capture System 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.1 Final PAUL version 5.2 Workspace Analysis 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.4 Bending Experiments 5.5 Weight Carrying Experiments 5.5 Weight Carrying Experiments 6 Conclusions 6 Conclusions Funding Information Funding Information A. Conducted Experiments and References A. Conducted Experiments and References 5 Results 5.1 Final PAUL version Although the layout of the pneumatic bench allows working with up to 4 segments, it was thought that using 3 would allow the different problems linked to redundancy to be tackled without increasing the weight of the robot too much or requiring the tubes –which pass through the interior of the segments – to have an excessive amount of space. It is true that the tubes of the other three could pass through the first module, nevertheless, it was thought that the stiffness they would introduce by being so compressed could make it difficult to bend the initial segment. Since it is also the segment that has to exert the most force, as it is the one that supports the weight of the other segments, the risk of punctures could be increased. Therefore, a robot consisting of three identical modules was assembled, standing at a total height of 390 mm (with each segment measuring 100 mm, intersegment connections 20 mm each, and the vision trihedron rod 30 mm). Under these configurations, the estimated weight of PAUL’s arm is around 600 g. The structure protecting the manipulator is a cube with a side of 500 mm. Pressure of the pneumatic line was established in 1.2 bar. Examples of PAUL reaching different positions are depicted in Figure 13. 5.2 Workspace Analysis The analysis of the workspace has been carried out experimentally, based on the data taken to generate the dataset. Figure 14 shows the workspace of a segment. As can be seen, this is a surface, as the segment has two degrees of freedom if the condition that at least one valve should remain deflated is imposed. The surface can be considered as the union of three surfaces intersecting at the central point, which corresponds to the configuration of all deflated bladders. The three surfaces are roughly spherical in shape. If the PCC model were completely valid for the robot, these would be perfect spheres, as the ends of a set of equal-length arcs of circumference with a common origin engrench a circle. Since this is not exactly the case, the generated surfaces only resemble the sphericity predicted by the constant curvature model. The addition of a second segment already generates a 4-D workspace that is difficult to represent. The generation of this is a consequence of the fact that, from each point on the surface of the workspace of a segment, another similar surface is generated. The union of all of these surfaces, which arise from the points on the surface of the first segment, results in the two-segment workspace. This is a volume in which, in addition, each point can be reached from two different orientations, thus leaving latent the four degrees of freedom that PAUL would have with only two modules. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

How a Soft Robot Arm Moves Using Air, Not Motors

كيف يتحرك ذراع الروبوت الناعم باستخدام الهواء وليس المحركات

Kunjamsa mä Llamp’u Robot Brazox Wayra apnaqasa, Janiw Motoranakamp sarnaqkiti

Jak se měkké rameno robota pohybuje pomocí vzduchu, nikoli motorů

Cómo un brazo robótico blando se mueve usando aire, no motores

Bagaimana Lengan Robot Lunak Bergerak Menggunakan Udara, Bukan Motor

Come un braccio robotico morbido si muove usando l'aria, non i motori

ソフトロボットアームがモーターではなく空気を使って動く仕組み

Ny fomba fihetsehan'ny sandry robot malefaka amin'ny fampiasana rivotra fa tsy maotera

Како се движи меката роботска рака користејќи воздух, а не мотори

Hur en mjuk robotarm rör sig med luft, inte motorer

Paano Gumagalaw ang Isang Malambot na Robot Arm Gamit ang Air, Hindi Motors

Як м’яка рука робота рухається за допомогою повітря, а не двигунів

Authors:
(1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es);
(2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain;
(3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.2 Material Selection 3.3 Manufacturing 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.5 Weight Carrying Experiments 6 Conclusions Funding Information A. Conducted Experiments and References Abstract Soft Robots distinguish themselves from traditional robots by embracing flexible kinematics. Because of their recent emergence, there exist numerous uncharted territories, including novel actuators, manufacturing processes, and advanced control methods. This research is centred on the design, fabrication, and control of a pneumatic soft robot. The principal objective is to develop a modular soft robot featuring with multiple segments, each one of three degrees of freedom. This yields to tubular structure with five independent degrees of freedom, enabling motion across three spatial dimensions. Physical construction leverages tin-cured silicone and a wax casting method, refined through iterative processes. 3D-printed PLA moulds, filled with silicone, yield the desired model, while bladder-like structures, are formed within using solidified paraffin wax positive moulds. For control, an empirically fine-tuned open-loop system is adopted. The project culminates in rigorous testing bending ability and weight carrying capacity and possible applications are discussed. Keywords: soft actuator; pneumatics; soft robots materials and design; open-loop control; computer vision capture 1 Introduction The rapid growth of soft robotics in the past decade is driven by their versatile applications in various fields, such as assisting surgeons, taking care of elderly people [1, 2], aiding rehabilitation [3], and enhancing manipulation capabilities [4]. Soft robots significantly differ from their traditional rigid counterparts, demanding innovative solutions across a wide spectrum, encompassing sensors, actuators, and control techniques. While conventional actuation methods can be applied in certain scenarios, such as cable robots where external motors tension the cables [5,6], novel actuators are frequently required. This has led to the development of various actuator types, including pneumatic actuators [7], electroactive polymers (EAP) [8], magnetic actuators [9], twisted and coiled actuators (TCA) [10], and shape memory alloys (SMA) [11, 12]. Among these options, pneumatic actuators stand out due to their cost-effectiveness, simplified manufacturing, straightforward actuation, and impressive load-bearing capacity [13], specially when no high speeds are required. Certainly, these actuators do not necessitate specific manufacturing conditions beyond the curing of silicone, typically conducted at or near room temperature. Moreover, their operation does not demand high-voltage conditions or the generation of external magnetic fields. Furthermore, they excel in achieving continuous deformations in the robots, surpassing those actuated by wires. These advantages have led to their use in grippers [14], inspection tasks [15], locomotion robots [16, 17] wearable devices for rehabilitation [18] or imitating human body parts [19]. The main contribution of this work has been the design, manufacturing and open-loop control of a 5-degrees of freedom (DOF) soft pneumatic arm called PAUL (Pneumatic Articulated Ultrasoft Limb) and depicted in Figure 1, capable of carrying light loads without increasing its precision error. In addition to the precision of its control system without and with external payloads, its workspace and its bending capacity are also analysed. It is not common to find a simultaneous analysis of all these factors in the literature. PAUL is composed of 3 independent modules or segments, made of silicone. Each segment is fed by 3 pneumatic tubes whose inflation give him 3 degrees of freedom: it can bend in two direction, as well as elongate when the three bladders are inflated. To reduce redundancies, it was decided to act only up to two at a time. Combining these components results in a robot with 9 inputs and 5 degrees of freedom in the task space, as no twisting movement is possible in any case. Actuation is achieved by measuring the valve opening duration, while a vision system, based on identifying a trihedron of colours, provides continuous feedback on the position of the end-effector. To address the challenge of modelling these robots, especially given the limitations of existing theoretical models –methods like the Piecewise Constant Curvature (PCC), which are adequate for hyper-redundant robots may lack precision in soft manipulators [20] and parameters for simulations based on the Finite Elements Method (FEM) are difficult to adjust–, an open-loop control system has been developed. This system relies on an experimentally constructed table that correlates valve opening times with the corresponding final positions of the manipulator. This empirical approach allows for reasonably accurate modelling of both the direct and inverse kinematics of the robot, even in the absence of precise theoretical models. The paper is structured as follows: Section 2 presents the main characteristics and working principles of the existing soft pneumatic arms, Section 3 details PAUL design and manufacturing process, highlighting the various modifications that had to be made iteratively and also addressing the construction of the pneumatic actuation bench, Section 4 describes the open loop control system and the steps that had to be taken to get there: the configuration of the robot hardware, the implementation of the vision system and the generation of the data table. The test carried out are commented in Section 5, and finally, Section 6 draws the conclusion. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Authors: Authors: (1) Jorge Francisco Garcia-Samartın, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain (jorge.gsamartin@upm.es); (2) Adrian Rieker, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain; (3) Antonio Barrientos, Centro de Automatica y Robotica (UPM-CSIC), Universidad Politecnica de Madrid — Consejo Superior de Investigaciones Cientıficas, Jose Gutierrez Abascal 2, 28006 Madrid, Spain. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works 2.1 Pneumatic Actuation 2.1 Pneumatic Actuation 2.2 Pneumatic Arms 2.2 Pneumatic Arms 2.3 Control of Soft Robots 2.3 Control of Soft Robots 3 PAUL: Design and Manufacturing 3.1 Robot Design 3.1 Robot Design 3.2 Material Selection 3.2 Material Selection 3.3 Manufacturing 3.3 Manufacturing 3.4 Actuation Bank 3.4 Actuation Bank 4 Data Acquisition and Open-Loop Control 4.1 Hardware Setup 4.1 Hardware Setup 4.2 Vision Capture System 4.2 Vision Capture System 4.3 Dataset Generation: Table-Based Models 4.3 Dataset Generation: Table-Based Models 4.4 Open-Loop Control 4.4 Open-Loop Control 5 Results 5.1 Final PAUL version 5.1 Final PAUL version 5.2 Workspace Analysis 5.2 Workspace Analysis 5.3 Performance of the Table-Based Models 5.3 Performance of the Table-Based Models 5.4 Bending Experiments 5.4 Bending Experiments 5.5 Weight Carrying Experiments 5.5 Weight Carrying Experiments 6 Conclusions 6 Conclusions Funding Information Funding Information A. Conducted Experiments and References A. Conducted Experiments and References Abstract Soft Robots distinguish themselves from traditional robots by embracing flexible kinematics. Because of their recent emergence, there exist numerous uncharted territories, including novel actuators, manufacturing processes, and advanced control methods. This research is centred on the design, fabrication, and control of a pneumatic soft robot. The principal objective is to develop a modular soft robot featuring with multiple segments, each one of three degrees of freedom. This yields to tubular structure with five independent degrees of freedom, enabling motion across three spatial dimensions. Physical construction leverages tin-cured silicone and a wax casting method, refined through iterative processes. 3D-printed PLA moulds, filled with silicone, yield the desired model, while bladder-like structures, are formed within using solidified paraffin wax positive moulds. For control, an empirically fine-tuned open-loop system is adopted. The project culminates in rigorous testing bending ability and weight carrying capacity and possible applications are discussed. Keywords : soft actuator; pneumatics; soft robots materials and design; open-loop control; computer vision capture Keywords 1 Introduction The rapid growth of soft robotics in the past decade is driven by their versatile applications in various fields, such as assisting surgeons, taking care of elderly people [1, 2], aiding rehabilitation [3], and enhancing manipulation capabilities [4]. Soft robots significantly differ from their traditional rigid counterparts, demanding innovative solutions across a wide spectrum, encompassing sensors, actuators, and control techniques. While conventional actuation methods can be applied in certain scenarios, such as cable robots where external motors tension the cables [5,6], novel actuators are frequently required. This has led to the development of various actuator types, including pneumatic actuators [7], electroactive polymers (EAP) [8], magnetic actuators [9], twisted and coiled actuators (TCA) [10], and shape memory alloys (SMA) [11, 12]. Among these options, pneumatic actuators stand out due to their cost-effectiveness, simplified manufacturing, straightforward actuation, and impressive load-bearing capacity [13], specially when no high speeds are required. Certainly, these actuators do not necessitate specific manufacturing conditions beyond the curing of silicone, typically conducted at or near room temperature. Moreover, their operation does not demand high-voltage conditions or the generation of external magnetic fields. Furthermore, they excel in achieving continuous deformations in the robots, surpassing those actuated by wires. These advantages have led to their use in grippers [14], inspection tasks [15], locomotion robots [16, 17] wearable devices for rehabilitation [18] or imitating human body parts [19]. The main contribution of this work has been the design, manufacturing and open-loop control of a 5-degrees of freedom (DOF) soft pneumatic arm called PAUL (Pneumatic Articulated Ultrasoft Limb) and depicted in Figure 1, capable of carrying light loads without increasing its precision error. In addition to the precision of its control system without and with external payloads, its workspace and its bending capacity are also analysed. It is not common to find a simultaneous analysis of all these factors in the literature. PAUL is composed of 3 independent modules or segments, made of silicone. Each segment is fed by 3 pneumatic tubes whose inflation give him 3 degrees of freedom: it can bend in two direction, as well as elongate when the three bladders are inflated. To reduce redundancies, it was decided to act only up to two at a time. Combining these components results in a robot with 9 inputs and 5 degrees of freedom in the task space, as no twisting movement is possible in any case. Actuation is achieved by measuring the valve opening duration, while a vision system, based on identifying a trihedron of colours, provides continuous feedback on the position of the end-effector. To address the challenge of modelling these robots, especially given the limitations of existing theoretical models –methods like the Piecewise Constant Curvature (PCC), which are adequate for hyper-redundant robots may lack precision in soft manipulators [20] and parameters for simulations based on the Finite Elements Method (FEM) are difficult to adjust–, an open-loop control system has been developed. This system relies on an experimentally constructed table that correlates valve opening times with the corresponding final positions of the manipulator. This empirical approach allows for reasonably accurate modelling of both the direct and inverse kinematics of the robot, even in the absence of precise theoretical models. The paper is structured as follows: Section 2 presents the main characteristics and working principles of the existing soft pneumatic arms, Section 3 details PAUL design and manufacturing process, highlighting the various modifications that had to be made iteratively and also addressing the construction of the pneumatic actuation bench, Section 4 describes the open loop control system and the steps that had to be taken to get there: the configuration of the robot hardware, the implementation of the vision system and the generation of the data table. The test carried out are commented in Section 5, and finally, Section 6 draws the conclusion. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

Meet PAUL: A Soft Robot That Moves with Air Pressure

How to Build a Data Dashboard Using Airbyte and Streamlit

Dubai, UAE, January 27th, 2025/--Chainwire/--Mario Nawfal,  one of the biggest names on 𝕏 for news and crypto, just announced an airdrop of $MARIO tokens, capping off one of the craziest memecoin stories in recent memory. The coin launched without Mario’s knowledge, and he only discovered it when 70% of its total supply unexpectedly landed in an old crypto wallet he had nearly forgotten existed. Instead of cashing in on the $7 million windfall, Mario burned the entire amount, taking those tokens out of circulation and causing the market to rally. The token reached a $100 million market cap in just 12 hours, and on day one, there was over $120 million in trading volume. Now, Mario is using his $50,000 purchase of $MARIO tokens to give back to his community through an airdrop. “It was completely unplanned, but I saw an opportunity to turn this into something positive,” said Mario, whose X channel is one of the most trusted sources for news and politics, reaching 2 billion people every month. What Makes $MARIO Different Unlike most memecoins, $MARIO’s rapid rise comes from transparency and trust. Mario’s decision to burn the tokens and personally invest in the coin resonated with traders, generating interest in the project. Some key stats from $MARIO’s debut: $100 Million Market Cap: Achieved within 12 hours of launch.
15,000+ Holders: A rapidly growing community.
$120+ Million Trading Volume: In the first 24 hours. Airdrop Details The airdrop is designed to reward the $MARIO community and commemorate its unexpected success. Official channels will provide further information on participation in the coming days. About $MARIO Token $MARIO Token is a memecoin that has gone viral thanks to an unlikely twist of fate and a strong focus on transparency. Born out of a surprise allocation to Mario Nawfal, the coin has quickly become one of the most talked-about tokens of 2025. For updates on the airdrop and more: X: https://x.com/MarioNawfal
Telegram:  https://t.me/MarioNawfal Contact Pulppr Info@pulppr.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here Dubai, UAE, January 27th, 2025/--Chainwire/-- Mario Nawfal ,  one of the biggest names on 𝕏 for news and crypto, just announced an airdrop of $MARIO tokens, capping off one of the craziest memecoin stories in recent memory. Mario Nawfal Mario Nawfal The coin launched without Mario’s knowledge, and he only discovered it when 70% of its total supply unexpectedly landed in an old crypto wallet he had nearly forgotten existed. Instead of cashing in on the $7 million windfall, Mario burned the entire amount, taking those tokens out of circulation and causing the market to rally. The token reached a $100 million market cap in just 12 hours, and on day one, there was over $120 million in trading volume. Now, Mario is using his $50,000 purchase of $MARIO tokens to give back to his community through an airdrop. “It was completely unplanned, but I saw an opportunity to turn this into something positive,” said Mario, whose X channel is one of the most trusted sources for news and politics, reaching 2 billion people every month. What Makes $MARIO Different Unlike most memecoins, $MARIO’s rapid rise comes from transparency and trust. Mario’s decision to burn the tokens and personally invest in the coin resonated with traders, generating interest in the project. Some key stats from $MARIO’s debut: $100 Million Market Cap: Achieved within 12 hours of launch. 15,000+ Holders: A rapidly growing community. $120+ Million Trading Volume: In the first 24 hours. $100 Million Market Cap: Achieved within 12 hours of launch. 15,000+ Holders: A rapidly growing community. $120+ Million Trading Volume: In the first 24 hours. Airdrop Details The airdrop is designed to reward the $MARIO community and commemorate its unexpected success. Official channels will provide further information on participation in the coming days. About $MARIO Token $MARIO Token is a memecoin that has gone viral thanks to an unlikely twist of fate and a strong focus on transparency. Born out of a surprise allocation to Mario Nawfal, the coin has quickly become one of the most talked-about tokens of 2025. For updates on the airdrop and more: X: https://x.com/MarioNawfal Telegram:  https://t.me/MarioNawfal X: https://x.com/MarioNawfal https://x.com/MarioNawfal https://x.com/MarioNawfal Telegram: https://t.me/MarioNawfal https://t.me/MarioNawfal https://t.me/MarioNawfal Contact Pulppr Info@pulppr.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Mario Nawfal Announces $MARIO Token Airdrop After Unplanned Memecoin Launch on X

Марыё Наўфал абвяшчае аб падзенні токенаў $MARIO пасля незапланаванага запуску Memecoin на X

Mario Nawfal anuncia el lanzamiento del token $MARIO después del lanzamiento no planificado de Memecoin en X

Mario Nawfal annonce un largage aérien de jetons $MARIO après le lancement imprévu de Memecoin sur X

מריו נאופאל מכריז על יציאת אסימון $MARIO Airdrop לאחר השקת Memecoin לא מתוכננת ב-X

Mario Nawfal najavljuje $MARIO Token Airdrop nakon neplaniranog lansiranja Memecoina na X

Mario Nawfal Mengumumkan Airdrop Token $MARIO Setelah Peluncuran Memecoin yang Tidak Direncanakan di X

マリオ・ナウファル、Xで予定外のミームコイン発売後、$MARIOトークンエアドロップを発表

Mario Nawfal kondigt $MARIO Token Airdrop aan na ongeplande Memecoin-lancering op X

Mario Nawfal Yatangaje $ MARIO Token Airdrop Nyuma yo Gutangiza Memecoin Yateganijwe kuri X

X இல் திட்டமிடப்படாத Memecoin வெளியீட்டிற்குப் பிறகு $MARIO டோக்கன் ஏர்ட்ராப்பை மரியோ நவ்ஃபல் அறிவிக்கிறார்

Марио Навфал пас аз оғози банақшагирии Memecoin дар X $MARIO Token Airdrop -ро эълон мекунад

ማሪዮ ናውፋል ድሕሪ ዘይተሓሰበ Memecoin ምጅማር ኣብ X $MARIO Token Airdrop ኣፍሊጡ

At AiSweat.Shop (A.S.S.), we’re thrilled to announce that we’ve airdropped an unprecedented 70% of our DEFAI tokens without any prior announcement. This strategic move strengthens our commitment to building a robust DefAI ecosystem and rewarding our most loyal communities. Here’s who received the tokens: Our incredible AiSweat.Shop communities.
Arbitrum DeFi OGs.
Open (aka WebisOPEN on X) early supporters.
The Arbitrum Foundation. ASS also included key members from leading DeFi platforms on Arbitrum, like Aave, GMX, Curve, Compound, Camelot, Pendle, and Wombat. This is just the beginning of what we’re building together. Check the thread here. Powered by Arbitrum and Open AiSweat.Shop is the first-ever DefAI Agent Launchpad. With the power of Arbitrum and Open (aka WebisOPEN on X), we’re creating a platform where anyone can deploy autonomous DefAI Agents with decentralized finance (DeFi) abilities and tokenization features. Our vision is to reimagine DeFi with AI-driven, adaptive, and frictionless financial experiences. We’re proud to share that Arbitrum has provided us with a grant to push the boundaries of DefAI. Additionally, Open has enabled our users to earn $OPEN points through engaging with DefAI Agents like Overlord.bot and Gameboi.ai. Why $DEFAI Matters DEFAI is more than just a token—it’s a movement. By combining the power of decentralized finance and artificial intelligence, DEFAI is at the heart of a thriving ecosystem that’s redefining liquidity and engagement. We’ve integrated DEFAI pairs across our platform and trading pairs, making AI-driven liquidity the backbone of our system. Plus, we’ve got exciting utilities for $DEFAI in the pipeline, including deeper integration with our partners at Camelot, one of Arbitrum’s leading decentralized exchanges. This partnership will enhance liquidity, improve user experience, and deliver stronger yield mechanisms. Stay tuned for more details. Our Token Distribution Here’s how we distributed the $DEFAI tokens: 55%: Allocated to AiSweat.Shop communities, Arbitrum DeFi OGs, and Open supporters.
15%: Reserved for the Arbitrum Foundation to bolster the ecosystem.
30%: Set aside for future growth and expansion of DefAI. This distribution reflects our mission to foster collaboration and innovation within the DefAI ecosystem while setting the stage for exciting cross-platform and cross-agent incentives. Gameboi.ai: A Revolution in Airdrops One of our most innovative creations is Gameboi.ai ($GMB), the anti-Sybil airdrop AI. Unlike traditional airdrops, Gameboi.ai engages users directly through humor, wit, and on-chain data. By filtering out spam and low-effort interactions, we’re building a more human-centric and accurate airdrop system. It’s just one example of how we’re solving long-standing issues in DeFi. Expanding Partnerships We’re not doing this alone. Here’s how our partnerships are shaping the future: Arbitrum: Our synergy with leading DeFi platforms ensures robust liquidity and growth for $DEFAI.
Open: With the Open Virtual Machine (OVM), we’re bringing scalable, verifiable compute capabilities to DefAI Agents.
RSS3: As a decentralized data wormhole, RSS3 provides valuable data to power DefAI Agents across Web1, Web2, and Web3. How You Can Get Involved Follow Us: Stay updated by following AiSweat.Shop on X (@aisweatshop).
Launch Your Token: Use Overlord.bot (@overlordbot_ on X) to launch tokens with a simple tweet.
Claim Your Airdrop: Interact with Gameboi.ai (@gameboiai on X) by tweeting a joke with your EVM wallet address.
Join the Community: Participate in Discord, Spaces, and AMAs hosted by Open (@WebisOPEN on X).
Engage with Builders: Connect with Arbitrum’s vibrant community on X.
Contribute: Check out our developer docs and the OpenAgent AI Framework on GitHub.
Join the DefAI Revolution AiSweat.Shop ($DEFAI) is here to redefine decentralized finance. With the support of the Arbitrum Foundation, we’re empowering users to create autonomous AI Agents with DeFi abilities and transforming traditional interfaces into trust-minimized, AI-driven AgentUI companions. Together, we’re leading the DefAI wave on Arbitrum, starting a revolution that will shape the future of finance. Visit our platforms: Website: AiSweat.Shop
Blog: A.S.S. Medium
GitHub: OpenAgent Framework At AiSweat.Shop (A.S.S.), we’re thrilled to announce that we’ve airdropped an unprecedented 70% of our DEFAI tokens without any prior announcement. This strategic move strengthens our commitment to building a robust DefAI ecosystem and rewarding our most loyal communities. Here’s who received the tokens: AiSweat.Shop Our incredible AiSweat.Shop communities. Arbitrum DeFi OGs. Open (aka WebisOPEN on X) early supporters. The Arbitrum Foundation. Our incredible AiSweat.Shop communities. AiSweat.Shop Arbitrum DeFi OGs. Open (aka WebisOPEN on X) early supporters. The Arbitrum Foundation. ASS also included key members from leading DeFi platforms on Arbitrum, like Aave, GMX, Curve, Compound, Camelot, Pendle, and Wombat. This is just the beginning of what we’re building together. Check the thread here . here Powered by Arbitrum and Open AiSweat.Shop is the first-ever DefAI Agent Launchpad. With the power of Arbitrum and Open ( aka WebisOPEN on X ), we’re creating a platform where anyone can deploy autonomous DefAI Agents with decentralized finance (DeFi) abilities and tokenization features. Our vision is to reimagine DeFi with AI-driven, adaptive, and frictionless financial experiences. AiSweat.Shop aka WebisOPEN on X We’re proud to share that Arbitrum has provided us with a grant to push the boundaries of DefAI. Additionally, Open has enabled our users to earn $OPEN points through engaging with DefAI Agents like Overlord.bot and Gameboi.ai . Arbitrum has provided us with a grant Gameboi.ai Why $DEFAI Matters DEFAI is more than just a token—it’s a movement. By combining the power of decentralized finance and artificial intelligence, DEFAI is at the heart of a thriving ecosystem that’s redefining liquidity and engagement. We’ve integrated DEFAI pairs across our platform and trading pairs, making AI-driven liquidity the backbone of our system. Plus, we’ve got exciting utilities for $DEFAI in the pipeline, including deeper integration with our partners at Camelot , one of Arbitrum’s leading decentralized exchanges. This partnership will enhance liquidity, improve user experience, and deliver stronger yield mechanisms. Stay tuned for more details. integration with our partners at Camelot Our Token Distribution Here’s how we distributed the $DEFAI tokens: 55%: Allocated to AiSweat.Shop communities, Arbitrum DeFi OGs, and Open supporters. 15%: Reserved for the Arbitrum Foundation to bolster the ecosystem. 30%: Set aside for future growth and expansion of DefAI. 55%: Allocated to AiSweat.Shop communities, Arbitrum DeFi OGs, and Open supporters. AiSweat.Shop 15%: Reserved for the Arbitrum Foundation to bolster the ecosystem. 30%: Set aside for future growth and expansion of DefAI. This distribution reflects our mission to foster collaboration and innovation within the DefAI ecosystem while setting the stage for exciting cross-platform and cross-agent incentives . exciting cross-platform and cross-agent incentives Gameboi.ai : A Revolution in Airdrops Gameboi.ai One of our most innovative creations is Gameboi.ai ($GMB), the anti-Sybil airdrop AI. Unlike traditional airdrops, Gameboi.ai engages users directly through humor, wit, and on-chain data. By filtering out spam and low-effort interactions, we’re building a more human-centric and accurate airdrop system. It’s just one example of how we’re solving long-standing issues in DeFi. Gameboi.ai Gameboi.ai Expanding Partnerships We’re not doing this alone. Here’s how our partnerships are shaping the future: Arbitrum: Our synergy with leading DeFi platforms ensures robust liquidity and growth for $DEFAI. Open: With the Open Virtual Machine (OVM), we’re bringing scalable, verifiable compute capabilities to DefAI Agents. RSS3: As a decentralized data wormhole, RSS3 provides valuable data to power DefAI Agents across Web1, Web2, and Web3. Arbitrum: Our synergy with leading DeFi platforms ensures robust liquidity and growth for $DEFAI. Open : With the Open Virtual Machine (OVM), we’re bringing scalable, verifiable compute capabilities to DefAI Agents. Open RSS3 : As a decentralized data wormhole, RSS3 provides valuable data to power DefAI Agents across Web1, Web2, and Web3. RSS3 How You Can Get Involved Follow Us: Stay updated by following AiSweat.Shop on X (@aisweatshop). Launch Your Token: Use Overlord.bot (@overlordbot_ on X) to launch tokens with a simple tweet. Claim Your Airdrop: Interact with Gameboi.ai (@gameboiai on X) by tweeting a joke with your EVM wallet address. Join the Community: Participate in Discord, Spaces, and AMAs hosted by Open (@WebisOPEN on X). Engage with Builders: Connect with Arbitrum’s vibrant community on X. Contribute: Check out our developer docs and the OpenAgent AI Framework on GitHub. Join the DefAI Revolution Follow Us: Stay updated by following AiSweat.Shop on X ( @aisweatshop ). AiSweat.Shop @aisweatshop Launch Your Token: Use Overlord.bot ( @overlordbot_ on X ) to launch tokens with a simple tweet. @overlordbot_ on X Claim Your Airdrop: Interact with Gameboi.ai ( @gameboiai on X ) by tweeting a joke with your EVM wallet address. Gameboi.ai @gameboiai on X Join the Community: Participate in Discord , Spaces, and AMAs hosted by Open ( @WebisOPEN on X ). Discord @WebisOPEN on X Engage with Builders: Connect with Arbitrum’s vibrant community on X. Contribute: Check out our developer docs and the OpenAgent AI Framework on GitHub. Join the DefAI Revolution AiSweat.Shop ($DEFAI) is here to redefine decentralized finance. With the support of the Arbitrum Foundation, we’re empowering users to create autonomous AI Agents with DeFi abilities and transforming traditional interfaces into trust-minimized, AI-driven AgentUI companions. Together, we’re leading the DefAI wave on Arbitrum, starting a revolution that will shape the future of finance. AiSweat.Shop Visit our platforms: Website: AiSweat.Shop Blog: A.S.S. Medium GitHub: OpenAgent Framework Website: AiSweat.Shop AiSweat.Shop Blog: A.S.S. Medium A.S.S. Medium GitHub: OpenAgent Framework OpenAgent Framework

AiSweatShop Airdrops 70% of $DEFAI Tokens Without Warning—Here's Who Got the Goods and What’s Next

AiSweatShop Airdrops 70% የ$DEFAI ቶከኖች ያለ ማስጠንቀቂያ—እነሆ እቃውን ያገኘው እና ቀጣዩ ምንድን ነው

AiSweatShop пуска 70% от $DEFAI токени без предупреждение – ето кой получи стоките и какво следва

AiSweatShop lässt ohne Vorwarnung 70 % der $DEFAI-Token fallen – hier erfahren Sie, wer die Ware bekommen hat und wie es weitergeht

AiSweatShop lanza el 70 % de los tokens $DEFAI sin previo aviso: aquí se explica quiénes se llevaron los bienes y qué sigue

AiSweatShop が予告なしに $DEFAI トークンの 70% をエアドロップ — 誰が商品を手に入れたのか、そして次に何が起こるのか

AiSweatShop Airdropt 70% van $DEFAI-tokens zonder waarschuwing - Dit is wie de goederen heeft gekregen en wat er nu gaat gebeuren

AiSweatShop Airdrops 70% ya $ DEFAI Tokens itaburiye-Dore Ninde Wabonye Ibicuruzwa nibikurikira

AiSweatShop Airdrops 70 % $DEFAI tokenov bez varovania – tu je kto dostal tovar a čo bude ďalej

AiSweatShop ஏர் டிராப்ஸ் $DEFAI டோக்கன்களில் 70% எச்சரிக்கை இல்லாமல்—இங்கே யார் பொருட்களைப் பெற்றார்கள், அடுத்து என்ன

AiSweatShop Airdrop 70% токенҳои $DEFAI-ро бидуни огоҳӣ мефиристад - Ин аст, ки молро кӣ гирифтааст ва оянда чӣ аст

AiSweatShop Yi Humesela 70% wa Tithokini ta $DEFAI emoyeni Handle ka Xitsundzuxo—Hi leyi I Mani La Nga Kuma Nhundzu Na Leswi Nga Landzaka

I-AiSweatShop Airdrops 70% ye-$DEFAI Amathokheni Ngaphandle Kwesexwayiso—Nakhu Othole Impahla nokuthi Yini Okulandelayo

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