Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

AIOZ Stream connects the media workflow across upload, storage, delivery, transcoding, access logic, analytics, and monetization. Looking ahead, its vision expands toward AI media processing, tagging, and recommendations. Integrate AIOZ Stream into your application layer.

705,548 görüntüleme • 15 gün önce •via X (Twitter)

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

We are excited to unveil the latest version of the AIOZ Node: The Version 4.0 update! This update includes a new user interface and brings substantial functional improvements, enhancing your overall experience for increased productivity and efficiency. More information below: The standout feature of AIOZ Node v4.0 is the introduction of the Transcoding functionality, which is currently available in beta. This functionality enables your node to participate in video transcoding, which converts video files into different formats for various digital devices and media platforms. By enabling transcoding, your node can contribute more significantly to the AIOZ Network, expanding the network's capabilities and potential $AIOZ token rewards. While the transcoding functionality is currently in beta, the upcoming AIOZ W3Stream integration, a DePIN Video Infrastructure due for release in Q3 2024, will unlock the full potential of your node and enable seamless video transcoding tasks. To get started with AIOZ Node v4.0, you simply need to visit our official website to download the latest version of the AIOZ Node: This download process is very straightforward, and with a one-click installation process, you can set up AIOZ Node v4.0 to start running on your device within a few minutes. If you are already running an AIOZ Node on your device, the version 4.0 update will be applied automatically, ensuring you have the latest features and improvements without hassle! With the Node v4.0 update running on your device, you can proceed to familiarize yourself with the new layout, check out the performance improvements, and start transcoding to see how it enhances your contributions to the network! Learn More: $AIOZ

AIOZ Network

20,428 görüntüleme • 2 yıl önce

How a 22-year-old developer built a full 3D Jet Ski racing game in just 40 minutes with zero manual coding He used Claude Opus 5 to generate physics, WebGL 3D graphics, HUD, and audio in a single prompt and turned single-prompt gamedev into a high-margin income stream. Costs: $423 He launched a single-prompt generation workflow that built the entire HTML5 project from scratch: Top layer: A Three.js and WebGL rendering pipeline dynamically creates 3D water physics, real-time wave dynamics, dynamic lighting, and jet ski fluid mechanics, all written autonomously inside one output file without external frameworks. Bottom layer: The Claude Opus 5 engine processed a massive 690-million-token context window to generate the complete gameplay logic, collision handling, dynamic sound generation, controls, and UI layout directly from a detailed initial system prompt. The trend of single-prompt 3D game creation is rapidly exploding across media and indie development. The author monetizes this tech stack through three main channels: 1. Viral Content & Media Systems: Short-form breakdown videos driving massive reach, monetized via promo placements, prompt-pack access, and private developer communities. 2. Rapid Hypercasual Prototyping: Testing 10+ WebGL mechanics per day, flipping fully functional browser games on itch io or CodeCanyon, and licensing prototypes directly to casual game portals. 3. Interactive WebGL Client Solutions: Delivering custom 3D promotional browser games and interactive brand experiences for clients in 48 hours instead of weeks. First month results: > WebGL games generated: 24 > Viral impressions generated: 3.8M+ > Total revenue across licensing & content: $21,400 The AI completely automated the core development lifecycle: Claude Opus 5 built the physics engine, rendered 3D graphics in WebGL, hooked up audio controllers, and generated interactive browser logic with zero manual line-by-line coding. Bookmark it and check article 👇

Ridark

11,592 görüntüleme • 1 ay önce

For almost a year, I have been building a simpler and more dependable way for applications to respond to activity on Cardano. Today, I am incredibly proud to release OgmiosDotnet.BlockchainEvents v1.0.0. BlockchainEvents is an open source transaction filtering, pub sub and event delivery layer for Cardano. It connects to Ogmios, evaluates every transaction against completely customisable rules, and emits only the activity an application has chosen to receive as standard CloudEvents. The rule engine can be shaped around almost any requirement. An application or applications can listen for activity involving a particular address, asset, policy, smart contract, governance action, treasury withdrawal, metadata value or DEX transaction. Builders can also create entirely new rules around their own domain logic. A project can operate one BlockchainEvents instance and allow many different applications to subscribe to the specific Cardano events they care about. A wallet could subscribe to address activity. A governance platform could subscribe to proposals and votes. A DEX service could subscribe to swaps involving selected assets or contracts. The blockchain connection, transaction processing and event infrastructure are shared, while each application receives its own relevant stream of events. This can remove considerable duplication across a project, reduce infrastructure costs and give development teams one dependable event layer to build around. Consumers can be as simple as an HTTP endpoint. When a transaction satisfies a rule, BlockchainEvents transforms it into a CloudEvent and automatically posts it to the subscribed application. Events can also be consumed through gRPC and server sent events. This allows applications to use Cardano data exposed through Ogmios without installing an Ogmios SDK, tracking a particular SDK version, maintaining their own WebSocket connection or implementing the chain sync protocol themselves. Delivery is backed by a durable queue. When a consumer becomes unavailable, its events remain waiting. Once the application returns, delivery resumes automatically. Applications can restart, deploy or experience a temporary outage without immediately losing the Cardano activity produced while they were offline. It is also extremely fast. During a full local Docker stress test, the pipeline processed more than 1,100 transactions per second through the rule engine, CloudEvents transformation, pub sub and durable queue, with approximately one millisecond p99 processing latency and zero failed emissions. The entire stack can be deployed through Docker across cloud providers, infrastructure providers and self hosted environments, while the underlying queue and delivery architecture remains abstracted from the applications using it. This project was funded through Catalyst Fund 14 after receiving 197 million ADA in yes votes across 420 votes cast. I am deeply grateful to everybody who voted for the proposal, followed the development, tested the releases, shared feedback or supported both me and this project over the past year. A great deal of work has gone into reaching this point, and I am genuinely excited to see what Cardano builders create with it. Further technical details, reliability results and the Minswap implementation are included below. Repository: Release: The possibilities from here are endless, this brings industry standard event driven architecture right to Cardano.

Dave

33,422 görüntüleme • 1 ay önce

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

TheNewPhysics

23,196 görüntüleme • 3 ay önce

Google Gemini Omni is f*cking insane for UGC ads 🤯 Google just dropped their new video model and I spent the past 24 hours putting it through its paces. Multi-shot UGC ads -> Consistent creator across every scene ->Agent mode that runs the whole session. Perfect for DTC brands and agencies who need UGC creative at volume without hiring creators or paying per-video platform fees. If you're briefing creators every week, waiting days for footage, paying $150–$300 per UGC video, and still getting ads that miss the brand vibe... Gemini Omni eliminates the entire loop: → Generate a realistic AI creator from a single image prompt → Upload your creator + product image, reference both by filename in every prompt → Agent mode writes and runs your full production session → Creator stays consistent across every scene change and outfit → Product label accurate, correct color, readable text → 5-shot direct response ad in one briefing No creator briefs. No waiting for footage. No per-video platform fees. What you get: → Multi-shot UGC ads with a locked creator across every scene → AI creator image prompt tuned for realism — not plastic AI faces → Asset tagging system that keeps your product consistent shot to shot → A reusable workflow: new product, new angle, same pipeline I also built a Claude Cowork skill that writes your entire production package before you generate a single frame: Creator prompt, shot list, dialogue, asset-tagged prompts, and voiceover script. I put together a full playbook with the Claude skill file and the exact workflow to run this yourself. Want access for free? > Like this post > Comment "OMNI" And I'll send it over (must be following so I can DM)

Mike Futia

34,201 görüntüleme • 3 ay önce

The best time to understand a product is before everyone else is using it That’s one reason I’ve been following Quant AI With 100,000+ people already on the waitlist ahead of its public launch, interest is clearly building around what Quant AI is creating What stands out to me isn’t just the numbers It’s the problem the product is trying to solve Instead of adding another layer of charts, indicators, and dashboards, Quant AI is focused on making market research easier to navigate. With Quant AI, users can: ➫ Explore markets through natural conversations ➫ Follow crypto, stocks, and commodities from one interface ➫ Use chat and voice instead of constantly switching between tools ➫ Understand both opportunities and risks before taking action ➫ Move from research to execution through a simpler workflow We already have access to more market data than ever before The challenge isn’t finding information It’s knowing what matters That’s where I think Quant AI is taking a different approach, helping users spend less time searching and more time understanding. Maybe that’s one reason the waitlist has grown so quickly. People aren’t just looking for another trading platform. They’re looking for a better way to make sense of the markets. If you’re curious about where AI and financial intelligence are heading, now is a good time to explore what Quant AI is building before the public launch. Join the whitelist 👇 #QuantAIPioneers

Habibiofcrypto

146,787 görüntüleme • 2 ay önce

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.

Nesa

17,038 görüntüleme • 6 ay önce

Sipher Odyssey and SipherAGI Update Dear Sipher community, 🔴 Sipher Odyssey is in its final stretch before Global Launch. • We’ve built over a year of live content, ensuring players will always have fresh challenges and events to return to. • Based on community feedback and play data, we’re refining FTUE and monetization systems so the game launches stronger, with better retention and long-term growth. • Sipher Adventure (World Exploration / Story Mode) is coming very soon to make onboarding easier for new players. The core roguelite ARPG depth remains intact for our midcore to hardcore community. While we won’t rush at the expense of quality, the launch timeline remains in our control. We’re focused on getting it right. We will deliver a launch that’s impactful from day one and sustainable over the long term. 🔴 Beyond Sipher Odyssey: The SipherAGI Vision While Sipher Odyssey is our flagship, it’s only the first chapter. Our roadmap has always been about Sipher AGI, building not just one game, but an ecosystem of impactful and lasting products across three pillars: • AI ( GAIA, KAIO) → AI and tools that enhance gameplay today, while also evolving into a platform that empowers creators and game developers in the future. • Gaming (multiple titles) → Sipher Odyssey, Sipher Strife, and a new soulslike is in development, with more ambitious titles planned to follow. • Infrastructure ( Funki✌🏻 ) → Our own Ethereum Layer-2 built on the Optimism Stack. Running our own chain gives us control over fees and incentives, cycling value back into the ecosystem. Superchain connectivity ensures a seamless experience for players. Each of these pillars connects through $SIPHER, our ecosystem token. Value accrues back to token holders across all our products and future titles. 🔴 Why This Matters Even in a challenging Web3 gaming market where many studios have closed, Ather Labs has a secured multi-year runway. This stability allows us to focus on delivering great games and ecosystem products without rushing into unfavorable deals. 🔴 What’s ahead: • Launch Sipher Odyssey strong • Expand with impactful titles and experiences • Advance GAIA and Funki Chain to make SipherAGI more than just a game studio, an AI × Gaming × Infrastructure ecosystem Thank you for being with us on this journey. advance, AtherLabs Team

SIPHΞR 🔜 GAMESCOM

12,170 görüntüleme • 1 yıl önce