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Storage works more smoothly when it fits how teams already build. S3 compatibility connects storage with familiar tools, APIs, and workflow patterns as products expand. AIOZ Storage provides S3-compatible object storage across development, publishing, and delivery workflows.

AIOZ Network

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The LimeWire Network is now LIVE in Public Beta 🚀 A decentralized object storage built for enterprise use - fully S3 compatible and easy to migrate from traditional providers like AWS or Google Cloud. Powered as a trustless system built on BNB Chain, LimeWire Network is already handling ~20M uploads every month. Web3 companies & enterprises can now tap into low-latency, cost-efficient storage at scale. Welcome to the next generation of storage 🔗

The LimeWire Network is now LIVE in Public Beta 🚀 A decentralized object storage built for enterprise use - fully S3 compatible and easy to migrate from traditional providers like AWS or Google Cloud. Powered as a trustless system built on BNB Chain, LimeWire Network is already handling ~20M uploads every month. Web3 companies & enterprises can now tap into low-latency, cost-efficient storage at scale. Welcome to the next generation of storage 🔗

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Vibe coding apps that require you to store and manage large files just got easier, with Replit ⠕ App Storage. ✨ My favorite example in this category are any PDF analysis apps: create a fully customized AI synthesizer in just a few prompts. App Storage is Replit's Object Storage solution (like Amazon S3 or Google CS). But don't worry if those words sound foreign to you, Agent will set this up for you automatically if your app needs it. On that note, this Agent capability is just the beginning of our efforts to make building apps with databases and storage easier: 👇

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Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and Physical AI [📍github] It handles cameras, LiDAR, radar, poses, calibrations & labels in one clean format. No more messy custom parsers. • Super efficient (non-redundant storage) • New .itar single-file format with lightning-fast random access • Streams straight from S3/GCS/Azure – perfect for huge datasets • Built-in converters for Waymo, ScanNet++ & more • Already powers NVIDIA NuRec, 3DGRUT & gsplat Saw this at Janick Martinez Esturo, thanks for sharing! Easy to try: • pip install nvidia-ncore • GitHub: • Docs & project page: NCore slashes data wrangling time, cuts storage waste, and makes large-scale neural 3D training faster and simpler than ever. A real standard for physical AI. ——- Weekly robotics and AI insights. Subscribe free:

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Starting a new project today, building an end to end system to forecast traffic of flights across cities (starting with Mumbai) The idea is to implement > ingestion service with kafka > data etl with polars > feast for feature store // mlflow for model registry > batch inferencing // dashboard > s3 // postgres for data storage All this orchestrated across multiple DAGs built with Airflow. This year has just been Agents and LLMs all along. Not a bad idea to keep revisiting the traditional format :) Will be posting more of this in the coming days, stay tuned

Starting a new project today, building an end to end system to forecast traffic of flights across cities (starting with Mumbai) The idea is to implement > ingestion service with kafka > data etl with polars > feast for feature store // mlflow for model registry > batch inferencing // dashboard > s3 // postgres for data storage All this orchestrated across multiple DAGs built with Airflow. This year has just been Agents and LLMs all along. Not a bad idea to keep revisiting the traditional format :) Will be posting more of this in the coming days, stay tuned

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Who likes a nice animation? 🤓🔋 Here you find out when lithium-ion batteries will be the most competitive for providing peak capacity (PC)... Or when is hydrogen becomes the best for integrating renewables (RE)? Let's walk through the cheapest storage technologies over time. 1⃣ Colours represent the technologies with the lowest lifetime cost. 2⃣ The axes show discharge duration and cycling frequency. They cover the whole spectrum from second-by-second balancing applications (bottom right) up to inter-seasonal storage (top left), and everything in between. 3⃣ Shading indicates how strong the cost advantage is over the second cheapest technology. The evolution of this competitive landscape is based on projected reductions in investment costs over time. These come from statistically-derived which are published in Monetizing Energy Storage: Wonder what it would look like if pumped hydro is not an option? Or where and when a radically new, better technology would fit into this mix? Explore these questions and more on Get in touch if this is of interest!

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Dr Iain Staffell

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What Actually is Sei Network's “Giga” Upgrade? Sei Network’s (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.

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BSCN

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Destra Network| True decentralized Storage solution How Destra Decentralized File Storage solves the centralization issues in Filecoin & IPFS Filecoin and IPFS have become synonymous with decentralized file storage, highly hyped alternatives to traditional centralized data storage systems. However, a deep dive into their architecture reveals a crucially centralized component: both networks rely on a set of centralized bootstrap nodes. Whenever a new node wants to join the Filecoin or IPFS network, it must first communicate with these bootstrap nodes to obtain information about other peers, placing complete trust in the provided information. The Filecoin team operates these bootstrap nodes on centralized cloud servers. These nodes serve as the initial points of contact for new nodes entering the network, acting as directories to facilitate the network's mesh topology, and thus are critical components of the architecture. Major Centralization Concerns: 1. Surveillance: Centralized nodes offer a concentrated point for surveillance. Authorities or malicious actors could target these nodes to gather data on user activities, node interactions, and network dynamics, posing significant privacy risks. 2. Central Control and Censorship: The operators of bootstrap nodes potentially wield significant control over the network. They can influence which parts of the network are more discoverable or enforce certain network rules, leading to a form of gatekeeping. This centralized control contrasts with the decentralization ethos of blockchain and peer-to-peer technologies. 3. Single Points of Failure: Bootstrap nodes act as central hubs through which traffic and connections are often routed, especially during the initial connection phase. This setup can create single points of failure. If these nodes are compromised, go offline, or experience technical issues, new nodes may struggle to integrate into the network, potentially taking down the whole network. At Destra, we are building the Destra Decentralized File Storage to ensure that such centralization or pseudo-decentralization has no place in our architecture. As always, we are committed to our vision of 100% decentralization, delivering an unprecedented level of decentralization to our users and the broader ecosystem. As we continue developing the Destra Decentralized File Storage, we will keep on publishing regular updates to our community.

Destra Network| True decentralized Storage solution How Destra Decentralized File Storage solves the centralization issues in Filecoin & IPFS Filecoin and IPFS have become synonymous with decentralized file storage, highly hyped alternatives to traditional centralized data storage systems. However, a deep dive into their architecture reveals a crucially centralized component: both networks rely on a set of centralized bootstrap nodes. Whenever a new node wants to join the Filecoin or IPFS network, it must first communicate with these bootstrap nodes to obtain information about other peers, placing complete trust in the provided information. The Filecoin team operates these bootstrap nodes on centralized cloud servers. These nodes serve as the initial points of contact for new nodes entering the network, acting as directories to facilitate the network's mesh topology, and thus are critical components of the architecture. Major Centralization Concerns: 1. Surveillance: Centralized nodes offer a concentrated point for surveillance. Authorities or malicious actors could target these nodes to gather data on user activities, node interactions, and network dynamics, posing significant privacy risks. 2. Central Control and Censorship: The operators of bootstrap nodes potentially wield significant control over the network. They can influence which parts of the network are more discoverable or enforce certain network rules, leading to a form of gatekeeping. This centralized control contrasts with the decentralization ethos of blockchain and peer-to-peer technologies. 3. Single Points of Failure: Bootstrap nodes act as central hubs through which traffic and connections are often routed, especially during the initial connection phase. This setup can create single points of failure. If these nodes are compromised, go offline, or experience technical issues, new nodes may struggle to integrate into the network, potentially taking down the whole network. At Destra, we are building the Destra Decentralized File Storage to ensure that such centralization or pseudo-decentralization has no place in our architecture. As always, we are committed to our vision of 100% decentralization, delivering an unprecedented level of decentralization to our users and the broader ecosystem. As we continue developing the Destra Decentralized File Storage, we will keep on publishing regular updates to our community.

Destra Network

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I replaced our Datadog bill with a single binary and cut infrastructure costs by 98% overnight. It’s called OpenObserve. Logs, metrics, traces, and frontend monitoring in one tool, self-hosted, and it’s built specifically to stop the bill that grows every time you add a host, a user, or a custom metric. → One binary, running in under 2 minutes. No cluster, no separate components for logs vs metrics vs traces → Built in Rust on the DataFusion query engine, so it stays fast even at petabyte scale → Uses Parquet columnar storage on S3-compatible object storage instead of a proprietary format, which is where the real cost savings come from → Query with SQL or PromQL instead of a vendor’s proprietary syntax, so your team isn’t learning a new query language just to read a dashboard → Full OpenTelemetry compatibility, no proprietary agents required to get your existing instrumentation talking to it → Community dashboard library on GitHub for Kubernetes, Docker, Postgres, AWS, and LLM observability, ready to drop in instead of building from scratch In OpenObserve’s own published benchmark, the same 16-service workload cost $174/day on Datadog and $3/day self-hosted, a 98% cut, before even touching per-host or per-seat fees. 18,000+ GitHub stars. Single binary. Self-hosted, no per-host or per-user tax.

I replaced our Datadog bill with a single binary and cut infrastructure costs by 98% overnight. It’s called OpenObserve. Logs, metrics, traces, and frontend monitoring in one tool, self-hosted, and it’s built specifically to stop the bill that grows every time you add a host, a user, or a custom metric. → One binary, running in under 2 minutes. No cluster, no separate components for logs vs metrics vs traces → Built in Rust on the DataFusion query engine, so it stays fast even at petabyte scale → Uses Parquet columnar storage on S3-compatible object storage instead of a proprietary format, which is where the real cost savings come from → Query with SQL or PromQL instead of a vendor’s proprietary syntax, so your team isn’t learning a new query language just to read a dashboard → Full OpenTelemetry compatibility, no proprietary agents required to get your existing instrumentation talking to it → Community dashboard library on GitHub for Kubernetes, Docker, Postgres, AWS, and LLM observability, ready to drop in instead of building from scratch In OpenObserve’s own published benchmark, the same 16-service workload cost $174/day on Datadog and $3/day self-hosted, a 98% cut, before even touching per-host or per-seat fees. 18,000+ GitHub stars. Single binary. Self-hosted, no per-host or per-user tax.

Harman

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🚨 RESEARCHERS JUST MADE WATER-BASED BATTERIES LAST OVER 2,800 HOURS WITH RECORD CAPACITY. A team in South Korea has developed a simple zwitterionic electrolyte additive that dramatically improves the performance of aqueous (water-based) batteries a technology long seen as a safer, cheaper, and more environmentally friendly alternative to lithium-ion. The additive forms tiny nanostructures that guide zinc to deposit evenly on the electrode and create a protective layer that prevents corrosion and unwanted side reactions with water. This solves two of the biggest problems that have limited aqueous batteries: uneven metal buildup and rapid capacity fade. In testing, the modified batteries achieved a world-leading areal capacity of 8.10 mAh cm⁻² and ran stably for more than 2,800 hours. Why this matters: • Aqueous batteries are non-flammable and use abundant, low-cost materials, but have historically suffered from poor lifespan and performance • This approach improves both cycle life and capacity at the same time — something many previous solutions struggled to achieve together • It uses a simple additive rather than requiring expensive new materials or complex manufacturing changes • The technology is particularly relevant for large-scale energy storage needed for renewables and AI data centers The deeper implication: We’re getting closer to making safe, scalable, and affordable grid storage a reality. While lithium-ion still dominates, aqueous batteries could become a strong contender for stationary storage where safety, cost, and longevity matter more than energy density. A small molecular tweak unlocking major performance gains shows how materials engineering at the nanoscale can have outsized real-world impact. This is the kind of incremental but meaningful progress that compounds over time. How important do you think safer, water-based batteries will be for the future energy grid compared to improving lithium-ion or other alternatives? Follow for more frontier energy storage and battery materials research.

🚨 RESEARCHERS JUST MADE WATER-BASED BATTERIES LAST OVER 2,800 HOURS WITH RECORD CAPACITY. A team in South Korea has developed a simple zwitterionic electrolyte additive that dramatically improves the performance of aqueous (water-based) batteries a technology long seen as a safer, cheaper, and more environmentally friendly alternative to lithium-ion. The additive forms tiny nanostructures that guide zinc to deposit evenly on the electrode and create a protective layer that prevents corrosion and unwanted side reactions with water. This solves two of the biggest problems that have limited aqueous batteries: uneven metal buildup and rapid capacity fade. In testing, the modified batteries achieved a world-leading areal capacity of 8.10 mAh cm⁻² and ran stably for more than 2,800 hours. Why this matters: • Aqueous batteries are non-flammable and use abundant, low-cost materials, but have historically suffered from poor lifespan and performance • This approach improves both cycle life and capacity at the same time — something many previous solutions struggled to achieve together • It uses a simple additive rather than requiring expensive new materials or complex manufacturing changes • The technology is particularly relevant for large-scale energy storage needed for renewables and AI data centers The deeper implication: We’re getting closer to making safe, scalable, and affordable grid storage a reality. While lithium-ion still dominates, aqueous batteries could become a strong contender for stationary storage where safety, cost, and longevity matter more than energy density. A small molecular tweak unlocking major performance gains shows how materials engineering at the nanoscale can have outsized real-world impact. This is the kind of incremental but meaningful progress that compounds over time. How important do you think safer, water-based batteries will be for the future energy grid compared to improving lithium-ion or other alternatives? Follow for more frontier energy storage and battery materials research.

TheNewPhysics

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🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

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Sahara AI 🔆

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The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

Kaboom.sui🪖

19,698 görüntüleme • 1 yıl önce

Type what you want. Watch Zapier build it. Debuted live at ZapConnect: an AI copilot that works across Canvas, Tables, Interfaces, Zaps, Chatbots, and Agents. No more stitching tools together by hand. Just describe your idea, and Copilot delivers a production-ready workflow. It knows when to use automation, when to spin up an agent, and how to connect everything end-to-end. This is AI transformation through people. Everyone on your team can now go from idea → system in minutes. Zapier doesn’t just connect apps. Zapier makes your whole team a builder. And it’s here now. Try it:

Type what you want. Watch Zapier build it. Debuted live at ZapConnect: an AI copilot that works across Canvas, Tables, Interfaces, Zaps, Chatbots, and Agents. No more stitching tools together by hand. Just describe your idea, and Copilot delivers a production-ready workflow. It knows when to use automation, when to spin up an agent, and how to connect everything end-to-end. This is AI transformation through people. Everyone on your team can now go from idea → system in minutes. Zapier doesn’t just connect apps. Zapier makes your whole team a builder. And it’s here now. Try it:

Zapier

15,413 görüntüleme • 11 ay önce

There’s a reason the LimeWire name still hits people instantly. If you were around in the early internet days, LimeWire was everywhere. Music discovery, file sharing, chaos, excitement. It shaped how a whole generation interacted with the web. That kind of brand memory doesn’t fade and LimeWire is proving it can be reused in a serious way. What’s different now is the foundation. LimeWire Network is the decentralized storage layer of LimeWire, built on BNB Chain. It is not a nostalgia project. It is infrastructure. Storage, transfers, and usage are happening on chain, designed to scale for real applications rather than demos. The growth backs that up. Looking at recent data on lmwrscan, LimeWire Network has already moved into tens of terabytes of stored data, with tens of thousands of uploads and consistent daily activity. Network usage keeps climbing, not spiking once and disappearing. That kind of curve usually shows real users, not incentive farming. And the economics are clear. The $LMWR token sits at the center of the system. Users pay in LMWR to use storage. Node operators earn LMWR for providing resources. Rewards and payments stay inside the ecosystem instead of leaking out to third parties. That loop matters. Most decentralized storage networks struggle because nobody knows they exist. LimeWire doesn’t have that problem. The brand alone opens doors, pulls attention, and lowers the friction for new users to try the product. When you combine that with live usage data and a functioning token economy, the upside starts to look asymmetric. Built on BNB Chain, LimeWire Network also gets the scalability needed if adoption keeps accelerating. That choice signals intent to grow, not just experiment. This feels like a rare case where nostalgia is not the product, it is the distribution layer. Curious how you see it. Are you watching LimeWire because of the brand comeback, the LimeWire Network growth, or the role of the LMWR token in the long run?

ryu 龙

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Breaking | After the failed attack targeting the port of Duqm, Oman, most likely Iranian drones struck oil storage tanks at the port of Salalah. At least three fuel tanks are now on fire, with thick smoke spreading across the port. The full extent of the damage is still unclear, and more tanks may have been hit. What makes this striking is the target itself. Oman has long acted as a quiet mediator between Iran and the United States, hosting indirect talks and passing messages between the two sides. Seeing Iran strike a country that has historically played this mediator role is unprecedented and shows how far the conflict is spreading across the region.

Breaking | After the failed attack targeting the port of Duqm, Oman, most likely Iranian drones struck oil storage tanks at the port of Salalah. At least three fuel tanks are now on fire, with thick smoke spreading across the port. The full extent of the damage is still unclear, and more tanks may have been hit. What makes this striking is the target itself. Oman has long acted as a quiet mediator between Iran and the United States, hosting indirect talks and passing messages between the two sides. Seeing Iran strike a country that has historically played this mediator role is unprecedented and shows how far the conflict is spreading across the region.

Basha باشا

557,423 görüntüleme • 6 ay önce

🚨 SCIENTISTS JUST REPLACED EXPENSIVE PLATINUM CATALYSTS IN ZINC-AIR BATTERIES WITH CHEAP IRON AND IT WORKS BETTER. Zinc-air batteries are one of the most promising low-cost, high-energy-density alternatives to lithium-ion, but they’ve been held back by a slow and inefficient oxygen reduction reaction that usually requires precious metal catalysts. Researchers at Tohoku University engineered a simple iron oxide/samarium oxide interface that dramatically speeds up this reaction. The heterointerface changes how electrons behave at the surface, weakens excessive bonding with reaction intermediates, and delivers faster kinetics plus excellent durability all without any noble metals. The new catalyst performed strongly in both liquid and flexible solid-state zinc-air batteries, successfully powering LEDs and even charging a smartphone. Why this matters: • Zinc-air batteries use oxygen from the air, abundant zinc, and are much cheaper and safer than lithium-ion • Removing the need for platinum or other precious metals makes them far more scalable and affordable • The iron-based interface approach is simple, stable in alkaline conditions, and improves both performance and longevity • It was demonstrated in practical devices, not just lab tests The deeper implication: We’re getting closer to energy storage that doesn’t rely on scarce, expensive materials. Zinc-air technology has long been held back by catalyst limitations, but this work shows that clever interface engineering with cheap, abundant elements can unlock the performance needed for real-world applications from portable electronics to large-scale grid storage. It’s another step toward clean energy systems that are not only sustainable in operation, but also in the materials they use. The future of batteries may not depend on mining more rare metals… but on smarter chemistry with what we already have in abundance. How close do you think we are to zinc-air batteries becoming a mainstream alternative to lithium-ion? Follow for more frontier battery materials and clean energy storage research.

🚨 SCIENTISTS JUST REPLACED EXPENSIVE PLATINUM CATALYSTS IN ZINC-AIR BATTERIES WITH CHEAP IRON AND IT WORKS BETTER. Zinc-air batteries are one of the most promising low-cost, high-energy-density alternatives to lithium-ion, but they’ve been held back by a slow and inefficient oxygen reduction reaction that usually requires precious metal catalysts. Researchers at Tohoku University engineered a simple iron oxide/samarium oxide interface that dramatically speeds up this reaction. The heterointerface changes how electrons behave at the surface, weakens excessive bonding with reaction intermediates, and delivers faster kinetics plus excellent durability all without any noble metals. The new catalyst performed strongly in both liquid and flexible solid-state zinc-air batteries, successfully powering LEDs and even charging a smartphone. Why this matters: • Zinc-air batteries use oxygen from the air, abundant zinc, and are much cheaper and safer than lithium-ion • Removing the need for platinum or other precious metals makes them far more scalable and affordable • The iron-based interface approach is simple, stable in alkaline conditions, and improves both performance and longevity • It was demonstrated in practical devices, not just lab tests The deeper implication: We’re getting closer to energy storage that doesn’t rely on scarce, expensive materials. Zinc-air technology has long been held back by catalyst limitations, but this work shows that clever interface engineering with cheap, abundant elements can unlock the performance needed for real-world applications from portable electronics to large-scale grid storage. It’s another step toward clean energy systems that are not only sustainable in operation, but also in the materials they use. The future of batteries may not depend on mining more rare metals… but on smarter chemistry with what we already have in abundance. How close do you think we are to zinc-air batteries becoming a mainstream alternative to lithium-ion? Follow for more frontier battery materials and clean energy storage research.

TheNewPhysics

36,798 görüntüleme • 3 ay önce

🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.

🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.

TheNewPhysics

2,071,461 görüntüleme • 3 ay önce

Internet legends rarely get a second act. LimeWire might be one of them. If you were around in the early web era, you remember the name. LimeWire wasn’t just software. It’s where many people discovered music, shared files, and learned how the internet actually worked. Now LimeWire is building something very different. LimeWire Network is its decentralized storage layer on BNB Chain, built to compete with traditional cloud providers while staying permissionless and token powered. And the traction is already there. The ecosystem has crossed 5M+ users with over 400 TB stored, even before full decentralization. One monthly report recorded: • 13.77M new files uploaded • 497 TB shared • 2.1M active users Real usage. The $LMWR token powers payments, rewards node operators, and keeps incentives aligned across the network. Most decentralized storage projects fight for adoption. LimeWire starts with something you cannot fabricate quickly: global recognition. People already trust the name. That familiarity lowers the barrier to entry and creates a real expansion advantage. Legacy awareness paired with live infrastructure and token utility is uncommon. Running on BNB Chain also gives the network room to scale if growth continues. The real signal is the transition. LimeWire is no longer just part of internet history. It is being rebuilt as infrastructure. Worth watching closely. Are you paying attention to LimeWire because of the nostalgia, the network growth, or the long term role of LMWR? What pulled you in first?

Internet legends rarely get a second act. LimeWire might be one of them. If you were around in the early web era, you remember the name. LimeWire wasn’t just software. It’s where many people discovered music, shared files, and learned how the internet actually worked. Now LimeWire is building something very different. LimeWire Network is its decentralized storage layer on BNB Chain, built to compete with traditional cloud providers while staying permissionless and token powered. And the traction is already there. The ecosystem has crossed 5M+ users with over 400 TB stored, even before full decentralization. One monthly report recorded: • 13.77M new files uploaded • 497 TB shared • 2.1M active users Real usage. The $LMWR token powers payments, rewards node operators, and keeps incentives aligned across the network. Most decentralized storage projects fight for adoption. LimeWire starts with something you cannot fabricate quickly: global recognition. People already trust the name. That familiarity lowers the barrier to entry and creates a real expansion advantage. Legacy awareness paired with live infrastructure and token utility is uncommon. Running on BNB Chain also gives the network room to scale if growth continues. The real signal is the transition. LimeWire is no longer just part of internet history. It is being rebuilt as infrastructure. Worth watching closely. Are you paying attention to LimeWire because of the nostalgia, the network growth, or the long term role of LMWR? What pulled you in first?

RYU

26,099 görüntüleme • 7 ay önce

We ranked a B2B SaaS brand #1 on ChatGPT for their category in 7 days. (And it's being used by marketing teams at Webflow, Chime, and Deepgram) This platform tracks AI visibility + generates cited content automatically across ChatGPT, Perplexity, Claude, and Gemini... → No more 6-12 months waiting for Google rankings to move → No more $60K agency dashboards that only show problems → No more 10 different tools to track, create, and publish content → No more manual content gap analysis taking 20+ hours weekly → No more AI slop that ChatGPT refuses to cite Just connect your data sources → autonomous visibility tracking + content generation system. Here's how it works: → AI Citation Scanner (tracks mentions across ChatGPT, Perplexity, Claude, Gemini) → Competitive Gap Analysis (identifies where competitors get cited and you don't) → First-Party Data Integration (connects Zendesk, HubSpot, Drive, product docs) → AI Content Generator (creates authoritative content with human review checkpoints) → Direct CMS Publishing (publishes to Webflow, Contentful automatically) → Performance Measurement (tracks results across traditional + AI search) Companies using this infrastructure: • Webflow: 40% traffic lift + 5X content velocity • Chime: 3X AI citations in 30 days • Deepgram: 24X organic traffic (37K → 1.5M visitors in 60 days) Built with AI-assisted workflows. Runs on human + AI collaboration. 30-day results vs 6-month SEO cycles. Want to see how you rank in AI search? Like + comment "SEO" + repost, and I'll DM you the free scanner. (must be following)

Aryan Mahajan

28,533 görüntüleme • 10 ay önce

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 görüntüleme • 11 ay önce