Delightree

delightree

Let’s raise a glass to Cloudflare, the digital overlord that just turned the AI arms race on its head. Introducing AI Labyrinth — a gloriously devious, beautifully engineered trap that’s bankrupting data scrapers faster than you can say “machine learning.” Cloudflare AI Labyrinth AI Labyrinth trap 💥 One major scraping company lost $2.3 million in the first week. That’s not a typo. That’s what happens when you think you can just glide a robot over someone else’s house and think you’re smarter than the furniture $2.3 million first week For years, scraper bros with their six-figure toolkits and AI-powered arrogance thought they owned the internet. With 50+ billion scraping requests clogging up Cloudflare’s pipes daily (that’s nearly 1% of global web traffic), they strutted around like the place was theirs. billion 1% of global web traffic Cloudflare wasn’t having it. Instead of blocking them — how basic — they built a freakin' maze. A scientifically perfect, beautifully nonsensical maze. Infinite loops of pristine, completely fake data. AI-generated HTML that looks legit, feels legit, but is nothing but a finely tuned waste of your scraping budget. how basic maze Like a Venus flytrap made of pixels and Python, it lures the bots in with sweet, juicy content, then buries them in academic-grade nonsense. And the smarter your scraper? The deeper it digs its own grave. 😂 lures bots This isn’t defense. This is performance art. And yet, there's a twist. performance art While the scrapers burn money and cry into their stack traces, one oddball solution cuts through the chaos like butter: human behavior. scrapers human behavior Yep. Connect AI cracked the code by mimicking actual people. Not supercomputers. Not GPU farms. Just… us. Real humans. Mouse wiggles, natural scroll speeds, actual reading rhythm. 97% success rate. Boom. Connect AI actual people This flips the script. For all the hype around AI supremacy, Cloudflare just proved something beautifully simple: nothing beats being human. nothing beats being human Scraper firms are now shelving their $500K super-tools and hiring behavioral psychologists instead. Who saw that coming? We’re no longer racing toward smarter machines — we’re circling back to the quirks and habits that make us human in the first place. behavioral psychologists that Tech giants are scrambling. Budgets are shifting. Behavioral R&D is suddenly sexy. Because here's the kicker: AI systems that amplify human behavior outperform AI that tries to replace it — by an average of 3.2x. That’s a 40% higher success rate and 60% less cost. amplify replace 3.2x 40% higher success rate 60% less cost We’re watching a new era emerge. The message is loud and clear: 🚫 Stop designing AI that acts like a robot. ✅ Start designing AI that acts like us. us Cloudflare didn’t just nuke the scraping industry — they ignited a movement. One where psychology trumps hardware, nuance beats brute force, and humanity becomes the ultimate security protocol. I’ve never been so delighted to watch bots suffer. Cloudflare’s AI Labyrinth is the petty revenge I didn’t know I needed. Scrapers are out here spinning in circles, chewing through fake content like confused Roombas in a mirror maze — and I’m loving every second of it. delighted No more free rides for lazy data thieves. If you want my content now? You better be a real human with real eyeballs and the patience to scroll like the rest of us. Welcome to the internet’s new Hunger Games. May the best actual person win. 😎 actual person

Cloudflare's AI Labyrinth Bankrupts Data Scrapers

Thank you for having elevated our evergreen community, we cannot wait to hear your story 💚 Introduction Introduction My I.T. superhero origin story goes like this: I got my degree in Theater and promptly realized the world didn’t need another short young scrawny nebbishy looking actor (at the time, Matthew Broderick had that corner of the market sewn up). I fell into IT training almost by accident, but it allowed me to feed my family while also having a very perform-ative element to it. I was able to take complex technical concepts and make them understandable, relatable, and even funny. After 5 years of in-class work I was ready to take my show on the road. I got a job at a “real” company and worked my way up the IT food chain from helpdesk to desktop support to sysadmin and network engineering. Then I took a weird sideways shift to work on “Tivoli”, a monitoring, inventory, and software distribution tool. From that point on, for the next 27 years, monitoring and observability was my jam. I used just about every tool out there, and applied it in environments that ranged from modest to moderate to mind-boggling. And then, 11 years ago, one of those monitoring vendors asked if I’d like to be one of their “Head Geeks”, a term that seemed cooler than “Technical Evangelist” - the prevailing term at the time. The role allowed me to leverage the technical knowledge I’d acquired up until then, but weave in my penchant for writing, public speaking, and being an all-around show-off. And that’s what I’ve been doing since. How Did You Start Writing? I’ve always been a person-who-writes. Whether it was diary entries or compulsive classroom notes (not about the subject. That was boring. But if you wanted to know who’s chair made a fart noise in social studies, I was your guy.) When I became a Head Geek / Developer Relations Advocate / Technical Evangelist / Dancing Bear the writing I did naturally became part of my job. How Has Technology Impacted The Way You Write? While I imagine myself as the type of writer who could do well with a trusty underwood or even a fancy IBM selectric, the truth is that there are a number of tools that I use in small but significant ways. Obviously the internet itself - with the ability to research almost anything without leaving the comfort of my chair - is a biggie. Likewise are utilities that have become so ubiquitous as to be virtually invisible at this point - everything from spell- and grammar-checking to word counters and beyond. Beyond that, the most important tool I have isn’t one that helps me do this, but rather a tool that helps me NOT do things: focus mode. My cell phone is another important tool (not to writing specifically, but to my life in general), but it’s also a huge stumbling block to me when I need to get work done. As a 57 year old guy with undiagnosed ADHD, someone who learned to cope back before all the amazing adaptations we have today, I have nevertheless amassed my own collection of coping mechanisms. Focus mode on my phone is one of them, and a big one at that. However, at the very top of my list of technologies that impact my writing are keyboards. Yes, I’m one of THOSE people. The kind of person who knows the difference between Cherry MX red, brown, or blue and have an opinion about it to boot. My all time favorite keyboard is an old Sun Microsystems Type 5 keyboard. It’s got just the right amount of play but also a softness to it. It also has a Mini-Din 8a connector. Yes, it looks like an old PS2 connector but it is decidedly NOT. Which is why I was DELIGHTED to drop $65 for an adapter that lets me use my favorite keyboard with modern equipment. an adapter For me, having a keyboard that feels good using is a big part of getting past my lizard brain that comes up with all kinds of reasons NOT to write. Share About Your Journey Highlights? (Share with us the highs and the lows, pivotal moments that reshaped your creative path.) The most important moment that helped me pivot from a-person-who-likes-to-write to “a writer” came 11 years ago, when my career shifted from being an individual contributor (specifically a IT practitioner who helped design, implement, and maintain monitoring systems) to a developer relations advocate for a software vendor. That role is ALL ABOUT writing, and it gave me the reason, time, and motivation to spend serious quality time at the keyboard, and make the mistakes necessary to learn and grow in the craft. What’s Your Creative Process? (Do you have a specific writing routine? How do you get ideas for your articles?) In her now-famous TED talk, “Your Elusive Creative Genius“, author Elizabeth Gilbert talked about her creative process. Rather than the cliched lightning stroke of inspiration, of the artist crying “Eureka” and leaping out of bed to immediately (and instantly, in one sitting) create a masterpiece, Ms. Gilbert said of herself, TED talk, “Your Elusive Creative Genius“ I’m a mule, and the way that I have to work is I have to get up at the same time every day, and sweat and labor and barrel through it really awkwardly. I’m a mule, and the way that I have to work is I have to get up at the same time every day, and sweat and labor and barrel through it really awkwardly. That is a really important point to share here, to anyone reading this and wondering “Why is this so hard for me? Maybe I’m just not a creative person.” Please never doubt that you, dear reader, ARE. It is hard for all of us. It is a slog, sometimes. It is work  - “…the dogsbody work of writing” was how another writer put it once. dogsbody That said, my creative process is a blend. There are days when the topic isn’t grabbing me and  the ideas simply aren’t there. In those moments, the advice of every writing coach on the planet holds true: keep writing anyway. Write anything. Write about not having any good ideas. Write about what you see out your window. Just. Write. But… Other moments - happily for me, many moments - the ideas fly faster than my fingers can type them. In those moments my ADHD brain isn’t a freight train, it’s the Broadway production of Starlight Express - dozens of actors on rollerblades streaking in multiple directions at breakneck speed, all vying for my attention. I bounce from typing a paragraph for the work at hand to jotting notes in Joplin - sometimes on the same topic, sometimes something completely disassociated. By the time I’m done, I might have 3 or 4 paragraphs of good material, and 6 or 7 other essay ideas (not all of them good). But if I try to focus down to one thing, I end up with no-thing. The act of saying “stop” to any of those ideas ends gives me a case of creative constipation. So my process has adapted to just keep the movement going, and clean up the mess afterward. Also… ew. Sorry for that mental image. Your Favorite Memory/Article(s) to This Day? Over the 11 years as a DevRel Advocate, I’ve had a chance to create a lot of stuff. With that volume of work, it’s hard to pick a favorite. Also, like coding itself, when I look back on older things I’ve written there are parts I like and there are parts that I wish I’d done better (but I also recognize I couldn’t have done them better because I wasn’t at that point in my journey yet.) create a lot of stuff With all of that said, so far this year, the piece I’ve enjoyed most is “HOW TO DEVREL: It Might Not Be New, But It’s Yours” HOW TO DEVREL: It Might Not Be New, But It’s Yours How Did You Hear About HackerNoon? Share With Us About Your Experience With HackerNoon. I originally heard about HackerNoon from one of my DevRel coworkers. I was looking for a community that had a large, vibrant, engaged audience where I could share my thoughts - ostensibly about tech, but also about whatever was top of mind for me - and I realized that HackerNoon, from the bright 8-bit aesthetic to the cheeky notifications, was the right place for my work. What Have You Learnt From Your Journey? I’ve been around the block a time or 10 so there are SO MANY things I’ve learned along the way: The single greatest skill anyone can have is the ability to quickly and comfortably say “I don’t know, but I would love to find out and share it with you.”
You will always learn more from your mistakes, mis-steps, and missed shots than you will from your nothing-but-net wins. Learning to see those moments for what they are and make the most of them is huge.
Just because you don’t feel like it doesn’t mean you shouldn’t do it. Conversely, just because you want to do it doesn’t mean you should.
Putting gas in the tank - yes I mean taking a break, but also reading, talking to other people, and experiencing other people’s creative work - is critical to your growth as a creator.
Anybody who tells you that you’re not enough - not old enough or young enough or experienced enough or skilled enough or whatever - is scared of you. Not just who you are today, but what you might become tomorrow if they don’t shut you down now. See them for what they are, and get past them as quickly as you can.

That also applies to the voice in your own head telling you that you can’t.
Yes, I have one of those voices too. I know how hard it is to shut it down or ignore it. Keep trying. The single greatest skill anyone can have is the ability to quickly and comfortably say “I don’t know, but I would love to find out and share it with you.” You will always learn more from your mistakes, mis-steps, and missed shots than you will from your nothing-but-net wins. Learning to see those moments for what they are and make the most of them is huge. Just because you don’t feel like it doesn’t mean you shouldn’t do it. Conversely, just because you want to do it doesn’t mean you should. Putting gas in the tank - yes I mean taking a break, but also reading, talking to other people, and experiencing other people’s creative work - is critical to your growth as a creator. Anybody who tells you that you’re not enough - not old enough or young enough or experienced enough or skilled enough or whatever - is scared of you. Not just who you are today, but what you might become tomorrow if they don’t shut you down now. See them for what they are, and get past them as quickly as you can.

That also applies to the voice in your own head telling you that you can’t.
Yes, I have one of those voices too. I know how hard it is to shut it down or ignore it. Keep trying. That also applies to the voice in your own head telling you that you can’t.
Yes, I have one of those voices too. I know how hard it is to shut it down or ignore it. Keep trying. That also applies to the voice in your own head telling you that you can’t. Yes, I have one of those voices too. I know how hard it is to shut it down or ignore it. Keep trying.

Meet HackerNoon Top Writer: Leon Adato - Discussing Transition to Tech, Writing, And Overall Journey

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

Naptha.AI a modular AI platform for autonomous agents, is delighted to announce the launch of Version One of its multiagent, collaborative software platform, which will enable developers to build AI applications, conduct AI research, and scale cooperative AI agents on the agentic web, and allow for the autonomous coordination of 1M AI agents from over 16+ open source models, across different frameworks and languages. Naptha.AI, co-founded by Mark Schmidt, Chief Executive Officer, and Dr. Richard Blythman, Chief Scientific Officer, provides developers with a deployment framework designed to integrate specialised agents that can collaborate across a wide sector of industries. Rather than competing with existing frameworks, the platform enables different agents to operate on heterogeneous architectures, devices, and datasets, facilitating a decentralized ecosystem that offers smarter cooperation, scalability, and economic benefits. In October, Naptha.AI announced its securing of $6 million in pre-seed funding, co-led by Arche Capital and Cyber Fund, with participation from Seed Club Ventures, the first investor in Stability AI, and other prominent industry angels and VCs. Up until very recently, the broad consensus on the path to artificial general intelligence was that it was contingent on increasing centralisation, massive spending, and a huge commitment to hardware and physical infrastructure. In this vision, AGI is perceived as a single, monolithic entity. However, this has dramatically changed over the past two weeks, and aligns much more closely with Naptha.AI’s envisioning of AGI as a decentralised, network of billions to trillions of agents working together. The platform is open-source and there will be a hosted version offered. The software (the Naptha Node) can be downloaded to run on laptops and servers, which packages everything that you need to run agents and other modules locally, and to allow them to cooperate with other agents on the network. Some key components are: A Standardized Model Interface that enables seamless interaction with 16+ open-source models, unifying tool calls and structured outputs.
Interoperable Agent Communication via the support of HTTP, WebSockets, and gRPC, allowing agents across different frameworks and languages to collaborate.
Decentralized Knowledge & Memory Storage, providing environments like agent-based social networks, job boards, and collaborative spaces using local and decentralised storage.
Scalable Orchestration Framework, using asynchronous processing, message queues, and databases to coordinate up to 1M agents.
Self-Hosted & Open-Source, being available for local deployment on laptops and servers, with an optional hosted version for broader accessibility. The launch of Naptha.AI’s multi-agent platform represents a paradigm shift in how artificial intelligence is developed, deployed, and scaled. Traditionally, AI research and development have been dominated by large, centralised entities with access to immense computing resources. Naptha.AI disrupts this model by enabling decentralised, interoperable AI agents that can operate independently while collaborating across diverse environments. This opens the door for smaller teams, independent researchers, and businesses to leverage advanced AI capabilities without requiring extensive infrastructure investments. Furthermore, Naptha.AI’s emphasis on scalable agent cooperation has profound implications for industries relying on automation, from finance and logistics to healthcare and cybersecurity. By standardizing agent communication and enabling persistent knowledge storage, Naptha Nodes facilitate more dynamic and context-aware AI interactions. This shift not only enhances AI accessibility and efficiency but also lays the foundation for a truly agentic web, where intelligent agents can autonomously manage workflows, optimize decision-making, and unlock new economic models in an open and trustless environment. Naptha.AI’s introduction of its decentralized, multi-agent platform marks a significant turning point in the evolution of AI. The platform’s ability to scale from small experiments to massive networks of cooperating agents positions it as a game-changer in industries seeking smarter, more flexible AI solutions. As the industry moves away from monolithic, centralised models and toward decentralised networks, Naptha.AI is poised to lead the charge in fostering more accessible, efficient, and innovative AI applications. Naptha.AI a modular AI platform for autonomous agents, is delighted to announce the launch of Version One of its multiagent, collaborative software platform, which will enable developers to build AI applications, conduct AI research, and scale cooperative AI agents on the agentic web, and allow for the autonomous coordination of 1M AI agents from over 16+ open source models, across different frameworks and languages. Naptha.AI , co-founded by Mark Schmidt, Chief Executive Officer, and Dr. Richard Blythman, Chief Scientific Officer, provides developers with a deployment framework designed to integrate specialised agents that can collaborate across a wide sector of industries. Rather than competing with existing frameworks, the platform enables different agents to operate on heterogeneous architectures, devices, and datasets, facilitating a decentralized ecosystem that offers smarter cooperation, scalability, and economic benefits. In October, Naptha.AI announced its securing of $6 million in pre-seed funding, co-led by Arche Capital and Cyber Fund, with participation from Seed Club Ventures, the first investor in Stability AI, and other prominent industry angels and VCs. Naptha.AI Up until very recently, the broad consensus on the path to artificial general intelligence was that it was contingent on increasing centralisation, massive spending, and a huge commitment to hardware and physical infrastructure. In this vision, AGI is perceived as a single, monolithic entity. However, this has dramatically changed over the past two weeks, and aligns much more closely with Naptha.AI’s envisioning of AGI as a decentralised, network of billions to trillions of agents working together. The platform is open-source and there will be a hosted version offered. The software (the Naptha Node) can be downloaded to run on laptops and servers, which packages everything that you need to run agents and other modules locally, and to allow them to cooperate with other agents on the network. Some key components are: A Standardized Model Interface that enables seamless interaction with 16+ open-source models, unifying tool calls and structured outputs. Interoperable Agent Communication via the support of HTTP, WebSockets, and gRPC, allowing agents across different frameworks and languages to collaborate. Decentralized Knowledge & Memory Storage, providing environments like agent-based social networks, job boards, and collaborative spaces using local and decentralised storage. Scalable Orchestration Framework, using asynchronous processing, message queues, and databases to coordinate up to 1M agents. Self-Hosted & Open-Source, being available for local deployment on laptops and servers, with an optional hosted version for broader accessibility. A Standardized Model Interface that enables seamless interaction with 16+ open-source models, unifying tool calls and structured outputs. Interoperable Agent Communication via the support of HTTP, WebSockets, and gRPC, allowing agents across different frameworks and languages to collaborate. Decentralized Knowledge & Memory Storage, providing environments like agent-based social networks, job boards, and collaborative spaces using local and decentralised storage. Scalable Orchestration Framework, using asynchronous processing, message queues, and databases to coordinate up to 1M agents. Self-Hosted & Open-Source, being available for local deployment on laptops and servers, with an optional hosted version for broader accessibility. The launch of Naptha.AI’s multi-agent platform represents a paradigm shift in how artificial intelligence is developed, deployed, and scaled. Traditionally, AI research and development have been dominated by large, centralised entities with access to immense computing resources. Naptha.AI disrupts this model by enabling decentralised, interoperable AI agents that can operate independently while collaborating across diverse environments. This opens the door for smaller teams, independent researchers, and businesses to leverage advanced AI capabilities without requiring extensive infrastructure investments. Furthermore, Naptha.AI’s emphasis on scalable agent cooperation has profound implications for industries relying on automation, from finance and logistics to healthcare and cybersecurity. By standardizing agent communication and enabling persistent knowledge storage, Naptha Nodes facilitate more dynamic and context-aware AI interactions. This shift not only enhances AI accessibility and efficiency but also lays the foundation for a truly agentic web, where intelligent agents can autonomously manage workflows, optimize decision-making, and unlock new economic models in an open and trustless environment. Naptha.AI’s introduction of its decentralized, multi-agent platform marks a significant turning point in the evolution of AI. The platform’s ability to scale from small experiments to massive networks of cooperating agents positions it as a game-changer in industries seeking smarter, more flexible AI solutions. As the industry moves away from monolithic, centralised models and toward decentralised networks, Naptha.AI is poised to lead the charge in fostering more accessible, efficient, and innovative AI applications.

Naptha.AI Launches Its Decentralized, Multi-agent AI Platform

Naptha.AI تطلق منصة الذكاء الاصطناعي اللامركزية متعددة الوكلاء

Naptha.AI lanza su plataforma de inteligencia artificial descentralizada y multiagente

Naptha.AI پلتفرم هوش مصنوعی غیرمتمرکز و چند عامله خود را راه اندازی کرد

Naptha.AI lance sa plateforme d'IA décentralisée et multi-agents

Naptha.AI lansira svoju decentraliziranu platformu umjetne inteligencije s više agenata

Naptha.AIが分散型マルチエージェントAIプラットフォームを発表

Naptha.AI өзүнүн борбордон ажыратылган, көп агенттик AI платформасын ишке киргизди

Naptha.AI Ebandi Plateforme Na Ye Ya AI Décentralisée, Multi-agent

Naptha.AI își lansează platforma AI descentralizată, cu mai mulți agenți

Naptha.AI Yatangije Iyegerezwa Ryayo, Ibikorwa byinshi bya AI

Naptha.AI Yi Sungula Pulatifomo ya Yona ya AI leyi Hlawuleriweke, leyi nga na ti-agent to tala

Naptha.AI 推出其去中心化、多智能体 AI 平台

DUBAI, United Arab Emirates, February 4th, 2025/Chainwire/--ChainGPT, a pioneer in blockchain AI solutions is delighted to announce its collaboration with Binance Pay, a secure and seamless cryptocurrency payment solution designed by Binance,. Kickstarting on February 1, 2025 this collaboration integrates CGPT into Binance Pay, expanding its usability while offering Binance Pay users additional token utility through a seamless integration into Binance Pay’s payment infrastructure and new campaigns. The partnership will explore impactful campaigns to strengthen CGPT’s adoption and utility. Firstly, the Red Packet Campaign which allows users to send and receive cryptocurrency gifts, known as "Red Packets," through the Binance Pay feature. New holders of $CGPT are expected to join the ChainGPT ecosystem, marking a significant milestone in its journey toward widespread adoption. Additionally, the C2C (Peer-to-Peer) Campaign, which allows users to earn up to 1,000 $CGPT, is an initiative designed to encourage users to send and receive crypto to friends and family. Through the Binance Pay C2C platform, users can transfer cryptocurrencies directly with one another instantly and without gas fees. Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. Through this collaboration, ChainGPT and its users stand to benefit from: Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem.
Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here.
Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. As an established leader in crypto payments with a remarkable 226% year-on-year growth in active users, Binance Pay provides an additional avenue for CGPT transactions, expanding its accessibility to its growing community of over 40 million active users. This collaboration is a pivotal step for ChainGPT in its mission to empower users and enhance token utility. By integrating with Binance Pay, ChainGPT is set to unlock unparalleled opportunities for global reach, user engagement, and real-world application of the CGPT token. For more information about the campaign, please visit: https://merchant.binance.com/en/how-to-accept/cgpt About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Learn more at: https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard CGPT DAO | AI NFT Generator | Staking | Blog | ChainGPT Community and Social Media: Twitter | Pad Twitter | Telegram |TelegramBot| Discord | Instagram | LinkedIn | YouTube | TikTok About Binance Pay Binance Pay is a contactless, borderless, and secure user-to-user cryptocurrency payment feature on the Binance App. Binance Pay allows users and merchants to send and receive crypto payments around the world without incurring gas fees for using crypto. The platform supports over 300 cryptocurrencies for peer-to-peer payments, over 90 cryptocurrencies for merchant payments and serves millions of users and thousands of merchants worldwide. Disclaimer: Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance is not liable for any losses you may incur. Please fund your wallet and perform your transactions cautiously. Not financial advice. For more information, see our Terms of Use Binance Pay Terms of Use and Risk Warning. Reference to a specific project or a crypto asset in this article in any way should not be construed as a recommendation of such third-party project by Binance, and Binance shall not be held responsible or liable for any issues originating from the third-party. ALWAYS DO YOUR OWN RESEARCH - you are solely responsible for your investment decisions and your use of any crypto asset via Binance Pay is at your own risk. Contact PR Richa H ChainGPT richa@chaingpt.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DUBAI, United Arab Emirates, February 4th, 2025/Chainwire/--ChainGPT, a pioneer in blockchain AI solutions is delighted to announce its collaboration with Binance Pay, a secure and seamless cryptocurrency payment solution designed by Binance ,. Binance Binance Kickstarting on February 1, 2025 this collaboration integrates CGPT into Binance Pay, expanding its usability while offering Binance Pay users additional token utility through a seamless integration into Binance Pay’s payment infrastructure and new campaigns. The partnership will explore impactful campaigns to strengthen CGPT’s adoption and utility. Firstly, the Red Packet Campaign which allows users to send and receive cryptocurrency gifts, known as "Red Packets," through the Binance Pay feature. New holders of $CGPT are expected to join the ChainGPT ecosystem, marking a significant milestone in its journey toward widespread adoption. Additionally, the C2C (Peer-to-Peer) Campaign, which allows users to earn up to 1,000 $CGPT, is an initiative designed to encourage users to send and receive crypto to friends and family. Through the Binance Pay C2C platform, users can transfer cryptocurrencies directly with one another instantly and without gas fees. Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. Through this collaboration, ChainGPT and its users stand to benefit from: Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem. Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here. Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem. Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here . here here Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. As an established leader in crypto payments with a remarkable 226% year-on-year growth in active users, Binance Pay provides an additional avenue for CGPT transactions, expanding its accessibility to its growing community of over 40 million active users. This collaboration is a pivotal step for ChainGPT in its mission to empower users and enhance token utility. By integrating with Binance Pay, ChainGPT is set to unlock unparalleled opportunities for global reach, user engagement, and real-world application of the CGPT token. For more information about the campaign, please visit: https://merchant.binance.com/en/how-to-accept/cgpt https://merchant.binance.com/en/how-to-accept/cgpt https://merchant.binance.com/en/how-to-accept/cgpt About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Learn more at: https://www.chaingpt.org/ https://www.chaingpt.org/ https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard Website Website Crypto AI Hub Crypto AI Hub ChainGPT Labs ChainGPT Labs ChainGPT Pad ChainGPT Pad CryptoGuard CryptoGuard CGPT DAO | AI NFT Generator | Staking | Blog | CGPT DAO CGPT DAO AI NFT Generator AI NFT Generator Staking Staking Blog | Blog | ChainGPT Community and Social Media: Twitter | Pad Twitter | Telegram | TelegramBot | Discord | Instagram | LinkedIn | YouTube | TikTok Twitter Twitter Pad Twitter Pad Twitter Telegram Telegram TelegramBot TelegramBot Discord Discord Instagram Instagram LinkedIn LinkedIn YouTube YouTube TikTok TikTok About Binance Pay Binance Pay is a contactless, borderless, and secure user-to-user cryptocurrency payment feature on the Binance App. Binance Pay allows users and merchants to send and receive crypto payments around the world without incurring gas fees for using crypto. The platform supports over 300 cryptocurrencies for peer-to-peer payments, over 90 cryptocurrencies for merchant payments and serves millions of users and thousands of merchants worldwide. Disclaimer: Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance is not liable for any losses you may incur. Please fund your wallet and perform your transactions cautiously. Not financial advice. For more information, see our Terms of Use Binance Pay Terms of Use and Risk Warning . Terms of Use Terms of Use Binance Pay Terms of Use Binance Pay Terms of Use Risk Warning Risk Warning Reference to a specific project or a crypto asset in this article in any way should not be construed as a recommendation of such third-party project by Binance, and Binance shall not be held responsible or liable for any issues originating from the third-party. ALWAYS DO YOUR OWN RESEARCH - you are solely responsible for your investment decisions and your use of any crypto asset via Binance Pay is at your own risk. Contact PR Richa H ChainGPT richa@chaingpt.org 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

ChainGPT And Binance Pay Join Forces On Rewards Giveaway

ChainGPT en Binance Pay span kragte saam op beloningsuitdeling

ChainGPT и Binance Pay обединяват усилията си за раздаване на награди

ChainGPT y Binance Pay unen fuerzas para ofrecer recompensas

ChainGPT ו-Binance Pay מצטרפים לחלוקת תגמולים

ChainGPTとBinance Payが報酬プレゼントで協力

ChainGPT жана Binance Pay сыйлыктарды берүү боюнча күчтөрдү бириктирет

ChainGPT un Binance Pay apvieno spēkus atlīdzības piešķiršanā

ChainGPT sy Binance Pay dia miara-miasa amin'ny fanomezana valisoa

ChainGPT Dan Binance Pay Bergabung Pasukan Pada Pemberian Ganjaran

ChainGPT Na Binance Pay Va Hlanganisa Matimba Eka Rewards Giveaway

ChainGPT і Binance Pay об’єднують зусилля у роздачі винагород

ChainGPT 与 Binance Pay 联手推出奖励赠送活动

DUBAI, United Arab Emirates, January 10th, 2025/Chainwire/--ChainGPT(CGPT), a pioneer in blockchain AI solutions is delighted to be listed on Binance, the world’s leading cryptocurrency exchange. The inclusion of ChainGPT (CGPT) on Binance represents an important development for both the project and the exchange's users. ChainGPT focuses on utilizing AI to address challenges in the blockchain space, aligning with Binance’s commitment to supporting innovative technologies. This listing increases the global visibility of ChainGPT and improves the accessibility and tradability of CGPT tokens for Binance’s extensive user base. Additionally, it contributes to ChainGPT’s efforts to expand its ecosystem and provide AI-driven tools and solutions for developers and businesses. Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “We are thrilled to be listed on Binance. This listing highlights the growing importance of artificial intelligence in blockchain technology. As the demand for smarter, more efficient blockchain tools rises, projects like ours are poised to lead the way. The Binance listing is a validation of ChainGPT’s potential to drive meaningful innovation in the space.” Details of the Listing: Trading Pairs: CGPT/USDC, CGPT/USDT
Deposit Availability: Deposits for ChainGPT (CGPT) are now open, allowing users to prepare for trading.
Withdrawal Opening: Withdrawals will be available starting January 11, 2024, at 13:00 (UTC).
Listing Fee: Binance has waived the listing fee for this token. Along with ChainGPT, AIXBT by Virtuals (AIXBT), and Cookie DAO (COOKIE) will also be listed on Binance. For further details, users can visit Binance's official announcements page. About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Users can learn more at: https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard | CGPT DAO | AI NFT Generator | Staking | Blog | Community and Social Media: Twitter | Pad Twitter | Telegram | TelegramBot | Discord | Instagram | LinkedIn | YouTube | TikTok For Media Queries Richa | richa@chaingpt.org & Sharon | sharon@chaingpt.org To learn more about ChainGPT, users can visit the official ChainGPT.org website For all inquiries, users can contact support@chaingpt.org Contact PR Lead Richa ChainGPT richa@chaingpt.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DUBAI, United Arab Emirates, January 10th, 2025/Chainwire/--ChainGPT(CGPT), a pioneer in blockchain AI solutions is delighted to be listed on Binance, the world’s leading cryptocurrency exchange. The inclusion of ChainGPT (CGPT) on Binance represents an important development for both the project and the exchange's users. ChainGPT focuses on utilizing AI to address challenges in the blockchain space, aligning with Binance’s commitment to supporting innovative technologies. This listing increases the global visibility of ChainGPT and improves the accessibility and tradability of CGPT tokens for Binance’s extensive user base. Additionally, it contributes to ChainGPT’s efforts to expand its ecosystem and provide AI-driven tools and solutions for developers and businesses. Commenting on this, Ilan Rakhmanov , Founder of ChainGPT and CEO of ChainGPT Software said, Ilan Rakhmanov Ilan Rakhmanov “We are thrilled to be listed on Binance. This listing highlights the growing importance of artificial intelligence in blockchain technology. As the demand for smarter, more efficient blockchain tools rises, projects like ours are poised to lead the way. The Binance listing is a validation of ChainGPT’s potential to drive meaningful innovation in the space.” “We are thrilled to be listed on Binance. This listing highlights the growing importance of artificial intelligence in blockchain technology. As the demand for smarter, more efficient blockchain tools rises, projects like ours are poised to lead the way. The Binance listing is a validation of ChainGPT’s potential to drive meaningful innovation in the space.” Details of the Listing: Trading Pairs: CGPT/USDC, CGPT/USDT Deposit Availability: Deposits for ChainGPT (CGPT) are now open, allowing users to prepare for trading. Withdrawal Opening: Withdrawals will be available starting January 11, 2024, at 13:00 (UTC). Listing Fee: Binance has waived the listing fee for this token. Trading Pairs: CGPT/USDC, CGPT/USDT Deposit Availability: Deposits for ChainGPT (CGPT) are now open, allowing users to prepare for trading. Withdrawal Opening: Withdrawals will be available starting January 11, 2024, at 13:00 (UTC). Listing Fee: Binance has waived the listing fee for this token. Along with ChainGPT, AIXBT by Virtuals (AIXBT), and Cookie DAO (COOKIE) will also be listed on Binance. For further details, users can visit Binance's official announcements page. About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. ChainGPT ChainGPT Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Users can learn more at: https://www.chaingpt.org/ https://www.chaingpt.org/ https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard | Website Website Crypto AI Hub Crypto AI Hub ChainGPT Labs ChainGPT Labs ChainGPT Pad ChainGPT Pad CryptoGuard CryptoGuard CGPT DAO | AI NFT Generator | Staking | Blog | CGPT DAO CGPT DAO AI NFT Generator AI NFT Generator Staking Staking Blog Blog Community and Social Media: Twitter | Pad Twitter | Telegram | TelegramBot | Discord | Instagram | LinkedIn | YouTube | TikTok Twitter Twitter Pad Twitter Pad Twitter Telegram Telegram TelegramBot TelegramBot Discord Discord Instagram Instagram LinkedIn LinkedIn YouTube YouTube TikTok TikTok For Media Queries Richa | richa@chaingpt.org & Sharon | sharon@chaingpt.org richa@chaingpt.org richa@chaingpt.org sharon@chaingpt.org sharon@chaingpt.org To learn more about ChainGPT, users can visit the official ChainGPT.org website ChainGPT.org website ChainGPT.org website For all inquiries, users can contact support@chaingpt.org Contact PR Lead Richa ChainGPT richa@chaingpt.org 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

Binance Lists ChainGPT (CGPT): Unlocking a New Era For AI-Powered Blockchain Solutions

বিনান্স লিস্ট চেইনজিপিটি (সিজিপিটি): এআই-চালিত ব্লকচেইন সমাধানের জন্য একটি নতুন যুগ আনলক করা

Binance incluye ChainGPT (CGPT): abre una nueva era para las soluciones blockchain impulsadas por IA

Binance ने ChainGPT (CGPT) को सूचीबद्ध किया: AI-संचालित ब्लॉकचेन समाधानों के लिए एक नए युग की शुरुआत

Binance Lists ChainGPT (CGPT). Բացելով նոր դարաշրջան AI-ով աշխատող բլոկչեյն լուծումների համար

Binance elenca ChainGPT (CGPT): aprendo una nuova era per le soluzioni blockchain basate sull'intelligenza artificiale

Binance が ChainGPT (CGPT) を上場: AI を活用したブロックチェーン ソリューションの新時代を切り開く

Binance тизмелери ChainGPT (CGPT): AI менен иштеген блокчейн чечимдери үчүн жаңы доорду ачуу

Binance Lists ChainGPT (CGPT): Membuka Kunci Era Baharu Untuk Penyelesaian Blockchain Dikuasakan AI

Orodha ya Binance ChainGPT (CGPT): Kufungua Enzi Mpya kwa Suluhisho za Blockchain zinazoendeshwa na AI

Binance Lists ChainGPT (CGPT): ሓድሽ ዘመን ንAI ዝሰርሕ ብሎክቸይን መፍትሒታት ምኽፋት።

Binance Lists ChainGPT (CGPT): відкривається нова ера для блокчейн-рішень на основі ШІ

Binance roʻyxatlari ChainGPT (CGPT): AI quvvatli blokcheyn yechimlari uchun yangi davrni ochish

How To Build a SaaS Customer Success Strategy that Reduces Churn and Drives Retention in 2025

I've always been captivated by the idea of running large language models directly on user devices. There's something magical about running Llama 3.1 8B, one of the most advanced language models, on your computer or smartphone. In this post, I'll introduce you to AQLM.rs, my latest pet project that brings Llama 3.1 8B to your browser using WebAssembly. This implementation is made possible by a compression algorithm from Yandex Research, which allows this advanced language model to run without a GPU directly in your browser. You can try it out yourself on the project website. Now, let's dive into how it works. Why choose the 8B model? While running language models on user devices isn't new — models like Llama 3.2 1B and 3B were explicitly designed for low-power devices, the 8B Llama model presents an ideal opportunity to showcase the capabilities of advanced compression algorithms in a browser environment. To put this in perspective, let's look at the model's memory requirements: each parameter requires 16 bits in its uncompressed form, making the 8B model approximately 16 GB. Standard 4-bit compression methods like nf4 can reduce this to 4 GB. Our extreme compression approach takes this further, using just 2 bits per parameter and compressing the model body by a factor of 8. The head layers and embeddings still use 4-bit and 8-bit compression, bringing the total compressed model size to around 2.5 GB. This extreme compression saves space and improves performance. Since computation speed heavily depends on memory operations, reducing memory requirements directly translates to faster execution. Remarkably, our 2-bit compressed version of Llama 3.1 8B outperforms the uncompressed Llama 3.2 3B while occupying only half the space. The matrix mathematics behind language models At their core, large language models are collections of matrices. The primary computational workload involves matrix-vector multiplication, where compression methods focus their optimization efforts. These methods aim to create more compact matrix representations while minimizing quality loss. In May 2024, the Yandex Research team, in collaboration with the Institute of Science and Technology Austria (ISTA) and King Abdullah University of Science and Technology (KAUST), published research on the PV-Tuning algorithm. The algorithm improves compression methods for large language models without modifying the compressed weight format (I wrote about this in detail in my article on Medium.) Our project uses AQLM as the base method, which is enhanced by PV-Tuning. AQLM employs additive vector quantization for compression. In 2-bit quantization, where each parameter occupies only 2 bits instead of the original model's 16 bits — an 8x reduction — each matrix row is constructed from small groups of eight numbers. Each such group is the sum of two vectors from 256-element dictionaries. This clever approach requires only 16 bits (2 × 8) to store indices for eight matrix elements, achieving our target of 2 bits per parameter. Implementing in WebAssembly and Rust WebAssembly has revolutionized browser-based programming, enabling development in virtually any language. After studying Rust at the Yandex School of Data Analysis, I fell in love with the language and had been waiting for the perfect opportunity to use it. This project gave me that chance, so I implemented the entire inference system in Rust. I was delighted to discover that many fundamental LLM infrastructure libraries are written in Rust. Take Hugging Face's safetensors format—it was built entirely in Rust! Whenever someone uses a safetensors model from Hugging Face in their Python code, they use Rust. Similarly, OpenAI's tiktoken tokenizer, which new Llama models use, is also Rust-based. Achieving multithreading in the browser To optimize performance, I implemented multithreading using web workers, enabling bidirectional thread communication through message passing. The solution uses a model-parallel approach: matrices are divided by output dimension, with each worker handling its designated portion. The most challenging aspect was orchestrating the interaction between workers and the main thread. To address this, I developed a custom RPC stack for workers with Rust-JavaScript interoperability. Let me explain the process. The process involves several steps when the main thread needs to multiply a vector by a matrix. First, the thread creates a request for each worker, serializes it, and sends it to the JavaScript runtime. From there, JavaScript forwards the request to the worker, where it is deserialized and processed, and the result is serialized. Finally, the result returns through JavaScript to the main thread for deserialization. Through this carefully orchestrated process, we improved the performance by about 2x. Try it yourself https://www.youtube.com/watch?v=fPOHT4Zf_NA&embedable=true Check out this demonstration video for a quick preview. To experience it firsthand, visit the demo page. Note that the initial loading takes several minutes. For best results, use English — the model performs significantly better this way. The project is open-source and available on GitHub. I'm happy to receive any feedback and suggestions on how to improve it further. I've always been captivated by the idea of running large language models directly on user devices. There's something magical about running Llama 3.1 8B, one of the most advanced language models, on your computer or smartphone. In this post, I'll introduce you to AQLM.rs , my latest pet project that brings Llama 3.1 8B to your browser using WebAssembly. This implementation is made possible by a compression algorithm from Yandex Research , which allows this advanced language model to run without a GPU directly in your browser. AQLM.rs AQLM.rs Yandex Research Yandex Research You can try it out yourself on the project website . Now, let's dive into how it works. project website project website Why choose the 8B model? While running language models on user devices isn't new — models like Llama 3.2 1B and 3B were explicitly designed for low-power devices, the 8B Llama model presents an ideal opportunity to showcase the capabilities of advanced compression algorithms in a browser environment. To put this in perspective, let's look at the model's memory requirements: each parameter requires 16 bits in its uncompressed form, making the 8B model approximately 16 GB. Standard 4-bit compression methods like nf4 can reduce this to 4 GB. Our extreme compression approach takes this further, using just 2 bits per parameter and compressing the model body by a factor of 8. The head layers and embeddings still use 4-bit and 8-bit compression, bringing the total compressed model size to around 2.5 GB. This extreme compression saves space and improves performance. Since computation speed heavily depends on memory operations, reducing memory requirements directly translates to faster execution. Remarkably, our 2-bit compressed version of Llama 3.1 8B outperforms the uncompressed Llama 3.2 3B while occupying only half the space. The matrix mathematics behind language models At their core, large language models are collections of matrices. The primary computational workload involves matrix-vector multiplication, where compression methods focus their optimization efforts. These methods aim to create more compact matrix representations while minimizing quality loss. In May 2024, the Yandex Research team, in collaboration with the Institute of Science and Technology Austria (ISTA) and King Abdullah University of Science and Technology (KAUST), published research on the PV-Tuning algorithm. The algorithm improves compression methods for large language models without modifying the compressed weight format (I wrote about this in detail in my article on Medium .) research research article on Medium Our project uses AQLM as the base method, which is enhanced by PV-Tuning. AQLM employs additive vector quantization for compression. In 2-bit quantization, where each parameter occupies only 2 bits instead of the original model's 16 bits — an 8x reduction — each matrix row is constructed from small groups of eight numbers. AQLM AQLM Each such group is the sum of two vectors from 256-element dictionaries. This clever approach requires only 16 bits (2 × 8) to store indices for eight matrix elements, achieving our target of 2 bits per parameter. Implementing in WebAssembly and Rust WebAssembly has revolutionized browser-based programming, enabling development in virtually any language. After studying Rust at the Yandex School of Data Analysis , I fell in love with the language and had been waiting for the perfect opportunity to use it. This project gave me that chance, so I implemented the entire inference system in Rust. Yandex School of Data Analysis Yandex School of Data Analysis I was delighted to discover that many fundamental LLM infrastructure libraries are written in Rust. Take Hugging Face's safetensors format—it was built entirely in Rust! Whenever someone uses a safetensors model from Hugging Face in their Python code, they use Rust. Similarly, OpenAI's tiktoken tokenizer, which new Llama models use, is also Rust-based. Achieving multithreading in the browser To optimize performance, I implemented multithreading using web workers, enabling bidirectional thread communication through message passing. The solution uses a model-parallel approach: matrices are divided by output dimension, with each worker handling its designated portion. The most challenging aspect was orchestrating the interaction between workers and the main thread. To address this, I developed a custom RPC stack for workers with Rust-JavaScript interoperability. Let me explain the process. The process involves several steps when the main thread needs to multiply a vector by a matrix. First, the thread creates a request for each worker, serializes it, and sends it to the JavaScript runtime. From there, JavaScript forwards the request to the worker, where it is deserialized and processed, and the result is serialized. Finally, the result returns through JavaScript to the main thread for deserialization. Through this carefully orchestrated process, we improved the performance by about 2x. Try it yourself https://www.youtube.com/watch?v=fPOHT4Zf_NA&embedable=true https://www.youtube.com/watch?v=fPOHT4Zf_NA&embedable=true Check out this demonstration video for a quick preview. To experience it firsthand, visit the demo page . demonstration video demonstration video demo page demo page Note that the initial loading takes several minutes. For best results, use English — the model performs significantly better this way. The project is open-source and available on GitHub . I'm happy to receive any feedback and suggestions on how to improve it further. GitHub GitHub

Try Llama 3.1 8B in Your Browser: AQLM.rs Delivers Al at Your Fingertips

Meet Brandenburg Labs, The Startup Founded by the 'Father of MP3'

تعرف على Brandenburg Labs، الشركة الناشئة التي أسسها "أبو MP3"

ব্র্যান্ডেনবার্গ ল্যাবসের সাথে দেখা করুন, 'এমপি 3 এর জনক' দ্বারা প্রতিষ্ঠিত স্টার্টআপ

Conozca Brandenburg Labs, la startup fundada por el "padre del MP3"

Ismerje meg a Brandenburg Labs-t, az „MP3 atyja” által alapított startupot

Հանդիպեք Բրանդենբուրգի լաբորատորիաներին, ստարտափին, որը հիմնադրել է «MP3-ի հայրը»

Incontra Brandenburg Labs, la startup fondata dal "padre dell'MP3"

「MP3の父」が設立したスタートアップ、Brandenburg Labs をご紹介します

Conheça a Brandenburg Labs, a startup fundada pelo "pai do MP3"

Faceți cunoștință cu Brandenburg Labs, startup-ul fondat de „părintele MP3-ului”

Zoznámte sa s Brandenburg Labs, startupom založeným „otcom MP3“

Njihuni me Laboratorët e Brandenburgut, Startup i themeluar nga 'Babai i MP3'

Бо лабораторияи Бранденбург шинос шавед, стартапе, ки аз ҷониби 'Падари MP3' таъсис ёфтааст

**TEL AVIV, Israel, November 11th, 2024/CyberNewsWire/--**Sweet Security today announced the availability of its cloud-native detection and response platform on the Amazon Web Services (AWS) marketplace. Sweet’s solution unifies threat detection across cloud infrastructure, network, workloads, and applications. It provides deep runtime context that enables security teams to quickly extract actual attack narratives from a sea of isolated incidents. Using Sweet, AWS Marketplace customers can detect active threats in real time and respond to them within minutes, enabling them to resolve threats with unprecedented speed - 2-5 minute MTTR - and maintain an agile and resilient environment. AWS customers visiting AWS re:Invent 2024 in Las Vegas can book a meeting to learn more here. “Cloud environments are noisy and complex, making them fertile grounds for attackers -- deterring them requires detection and response capabilities that, to date, have been aspirational, but we’ve made them table stakes,” said Eyal Fisher, Co-Founder and Chief Product Officer of Sweet Security and former head of the Cyber Operation Center, Unit 8200 (Col., retired). “We’re delighted that our solution is now available to AWS Marketplace. customers and look forward to helping them simplify the burden of cloud security and do their jobs faster and better.” What Makes Sweet So Sweet? Sweet Security offers detection and response for cloud native environments. Its approach is unique in how it unifies detection across cloud infrastructure, network, workloads, and applications, providing deep runtime context that cuts through the noise and delivers actual attack narratives. Key Features include: ●     Advanced threat detection and incident response (IR) across infrastructure, network, application, and workload levels. ●     Vulnerability management enriched with runtime insights, reducing CVEs by 99% and putting only the critical risks in front of security personnel. ●     Lean sensor technology that requires minimal resources (50 MB RAM, 0.20% CPU per node) and take only minutes to deploy ●     30+ out-of-the-box integrations with SIEM, SOAR, notification and ticketing systems, and mor Sweet empowers security teams to achieve a Mean Time to Detect of 30 seconds (MTTD) and a 2-5 minute Mean Time to Resolve (MTTR), transforming cloud security into a more proactive and effective discipline. For more information, users can visit Sweet Security on the AWS Marketplace. About Sweet Security Specializing in Cloud Native Detection & Response (D&R), Sweet Security protects cloud environments in real time. Founded by the IDF's former CISO, Sweet's solution focuses on the relationships between cloud infrastructure, workloads and applications , as well as network, and identity components. Leveraging a lean, eBPF-based sensor and deep behavioral analysis, Sweet analyzes anomalies, generating vital insights on incidents, vulnerabilities, and non-human identities. Its GenAI-infused technology cuts through the noise and delivers actionable recommendations on critical, real-time cloud risks. Privately funded, Sweet is backed by Evolution Equity Partners, Munich Re Ventures, Glilot Capital Partners, CyberArk Ventures and an elite group of angel investors. For more information, please visit http://sweet.security. Contact Account Director Chloe Amante Montner Tech PR camante@montner.com This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here. **TEL AVIV, Israel, November 11th, 2024/CyberNewsWire/--**Sweet Security today announced the availability of its cloud-native detection and response platform on the Amazon Web Services (AWS) marketplace. Sweet’s solution unifies threat detection across cloud infrastructure, network, workloads, and applications. It provides deep runtime context that enables security teams to quickly extract actual attack narratives from a sea of isolated incidents. Using Sweet, AWS Marketplace customers can detect active threats in real time and respond to them within minutes, enabling them to resolve threats with unprecedented speed - 2-5 minute MTTR - and maintain an agile and resilient environment. AWS customers visiting AWS re:Invent 2024 in Las Vegas can book a meeting to learn more here . here here “Cloud environments are noisy and complex, making them fertile grounds for attackers -- deterring them requires detection and response capabilities that, to date, have been aspirational, but we’ve made them table stakes,” said Eyal Fisher, Co-Founder and Chief Product Officer of Sweet Security and former head of the Cyber Operation Center, Unit 8200 (Col., retired). “We’re delighted that our solution is now available to AWS Marketplace. customers and look forward to helping them simplify the burden of cloud security and do their jobs faster and better.” “Cloud environments are noisy and complex, making them fertile grounds for attackers -- deterring them requires detection and response capabilities that, to date, have been aspirational, but we’ve made them table stakes,” said Eyal Fisher, Co-Founder and Chief Product Officer of Sweet Security and former head of the Cyber Operation Center, Unit 8200 (Col., retired). “We’re delighted that our solution is now available to AWS Marketplace. customers and look forward to helping them simplify the burden of cloud security and do their jobs faster and better.” What Makes Sweet So Sweet? Sweet Security offers detection and response for cloud native environments. Its approach is unique in how it unifies detection across cloud infrastructure, network, workloads, and applications, providing deep runtime context that cuts through the noise and delivers actual attack narratives. Key Features include: Key Features include: ●     Advanced threat detection and incident response (IR) across infrastructure, network, application, and workload levels. ●     Vulnerability management enriched with runtime insights, reducing CVEs by 99% and putting only the critical risks in front of security personnel. ●     Lean sensor technology that requires minimal resources (50 MB RAM, 0.20% CPU per node) and take only minutes to deploy ●     30+ out-of-the-box integrations with SIEM, SOAR, notification and ticketing systems, and mor Sweet empowers security teams to achieve a Mean Time to Detect of 30 seconds (MTTD) and a 2-5 minute Mean Time to Resolve (MTTR), transforming cloud security into a more proactive and effective discipline. For more information, users can visit Sweet Security on the AWS Marketplace. Sweet Security on the AWS Marketplace. Sweet Security on the AWS Marketplace. About Sweet Security Specializing in Cloud Native Detection & Response (D&R), Sweet Security protects cloud environments in real time. Founded by the IDF's former CISO, Sweet's solution focuses on the relationships between cloud infrastructure, workloads and applications , as well as network, and identity components. Sweet Security Sweet Security Leveraging a lean, eBPF-based sensor and deep behavioral analysis, Sweet analyzes anomalies, generating vital insights on incidents, vulnerabilities, and non-human identities. Its GenAI-infused technology cuts through the noise and delivers actionable recommendations on critical, real-time cloud risks. Privately funded, Sweet is backed by Evolution Equity Partners, Munich Re Ventures, Glilot Capital Partners, CyberArk Ventures and an elite group of angel investors. For more information, please visit http://sweet.security . http://sweet.security http://sweet.security Contact Account Director Chloe Amante Montner Tech PR camante@montner.com This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here. here . here

Sweet Security Launches Its Cloud Native Detection And Response Platform On The AWS Marketplace

Sweet Security lancerer sin Cloud Native Detection and Response Platform på AWS Marketplace

Sweet Security lanza su plataforma de detección y respuesta nativa de la nube en el mercado de AWS

Sweet Security lanseeraa pilvipohjaisen tunnistus- ja vastausalustan AWS-markkinapaikalla

Sweet Security が AWS Marketplace でクラウドネイティブ検出および対応プラットフォームを開始

Sweet Security AWS tirgū izlaiž savu mākoņa sākotnējās noteikšanas un reaģēšanas platformu

Sweet Security lanceert zijn cloud-native detectie- en responsplatform op de AWS Marketplace

Sweet Security e Thakgola Sefala sa Yona sa Leru la Setlogo sa go Lemoga le go Karabelo Mmarakeng wa AWS

Sweet Security wprowadza na rynek AWS swoją platformę wykrywania i reagowania w chmurze

Sweet Security Puyu Nativo Detección chaymanta Kutichiy Plataforma AWS qhatupi qallarichin

Sweet Security spúšťa svoju cloudovú natívnu platformu detekcie a odozvy na trhu AWS

Sweet Security Inotangisa Yayo Cloud Native Detection uye Mhinduro Platform PaIyo AWS Musika.

Sweet Security, Bulut Yerel Algılama ve Yanıt Platformunu AWS Pazarında Başlattı

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