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' 2DFM Project: Gabbie 5.31.24 ' [idle, turnaround] W.I.P. game development practice project using 2D Fighter Maker 2nd, by JG GenesisKeys.

JG GenesisKeys

32,424 subscribers

91,309 次观看 • 2 年前 •via X (Twitter)

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🌊 THREE.JS WATER PRO GIVEAWAY 🌊 Build/vibecode a water/ocean themed game using Three.js and win a free copy of Three.js Water Pro! Rules: 🎮 Must be a playable game 💧 Water/ocean theme 💻 Start from scratch — fresh project only 🔗 Reply to this post with a link to your game ⏰ Submit by Monday 12:00 AM UTC 🗳️ Winner selected by me (tip: be creative!) I'll announce the winner on Monday. That's it. Best game wins. Go build!

🌊 THREE.JS WATER PRO GIVEAWAY 🌊 Build/vibecode a water/ocean themed game using Three.js and win a free copy of Three.js Water Pro! Rules: 🎮 Must be a playable game 💧 Water/ocean theme 💻 Start from scratch — fresh project only 🔗 Reply to this post with a link to your game ⏰ Submit by Monday 12:00 AM UTC 🗳️ Winner selected by me (tip: be creative!) I'll announce the winner on Monday. That's it. Best game wins. Go build!

Dan Greenheck

23,695 次观看 • 4 个月前

I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉

I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉

Quentin Valembois

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If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

Token Gremlin

28,231 次观看 • 10 天前

🇺🇦💣 🇷🇺 With domestic manufacturing reaching critical development goals, Ukrainian authorities are highlighting the deployment of highly precise, locally developed glide bombs that drastically enhance their independent striking capabilities. “Ukraine is already using domestically produced guided glide bombs in combat operations. A total of eight developers worked on the project, but the products of the best two were selected for use on the front lines,” – Minister of Defense of Ukraine, Mykhailo Fedorov. 🗣️According to him, the current results already demonstrate the high potential of the aforementioned bombs — the strike statistics and efficiency of the domestically produced guided aerial bombs during the testing phase are "pleasantly impressive," Fedorov notes. Video is generated by Grok AI

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NSTRIKE

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#PLA #China #Japan #Korea #Guam #India #Hypersonic The Chinese 6th generation fighter is a high-quality reverse engineering of the American 6th generation fighter project from Lockheed Martin as part of the NGAD (Next-Generation Air Dominance) program. The Chinese Air Force has begun flight tests of a 6th-generation stealth fighter designed using a "flying wing"/"tailless" configuration without the usual vertical and horizontal all-moving tail fins typical of 4th and 5th generation aircraft. The machine is stabilized in flight thanks to an advanced computerized fly-by-wire control system with multiple backup systems, which controls the wing mechanization on the trailing edge. The design has a huge resemblance to that of the Lockheed project under the NGAD program. It is worth noting that the visible length of the glider can vary from 22.5 to 25 - 27 m, while the wingspan reaches an incredible 18 - 19 m. Obviously, the normal takeoff weight of such a machine can reach 33 - 37 tons, the maximum - 43 - 47 tons. The payload in the internal weapons compartments is up to 10 - 12 tons. The estimated volume of the fuel system can reach 17-18 tons, and the combat radius of action up to 2500-2700 km. The effective reflective surface of this machine can vary from 0.05 to 0.15 sq. m The configuration of the onboard radar of the Chinese 5th generation fighter is almost identical to that of the Russian Su-57. On the side forming the nose of the fuselage, one can pay attention to 2 X-band side-looking AESA modules, similar to the N036B-1-01L and N036B-1-01B modules of the Belka onboard radar system. These canvases provide radar reconnaissance in SAR mode at distances of up to 150-200 km, as well as the ability to detect air targets in the lateral and rear hemisphere Evgeniy Damantsev

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Driven away from pirated digital libraries by a massive $1.5 billion settlement, major AI companies have found a legal loophole: bulk-buying physical books, shearing off the spines for high-speed scanning, and then throwing the originals away. The practice, known as "destructive scanning," involves using hydraulic cutting machines to neatly slice the spines off used and sometimes rare books. The loose pages are then rapidly processed through industrial scanners to extract the text for AI training data, before the physical remains are sent to recycling facilities. Anthropic’s internal initiative, referred to as "Project Panama," reportedly aimed to destructively scan up to two million books over a six-month period. The pivot to physical books comes after a federal judge ruled that training AI on legally purchased physical media constitutes "fair use," even if the original physical copy is destroyed in the process. The ruling effectively closed the door on using pirated digital shadow libraries, making physical books the final frontier for acquiring massive, legally defensible datasets. What are your thoughts on this? Share them in the comments.

Cybernews

29,786 次观看 • 28 天前

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

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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 次观看 • 16 天前

HAPPENING NOW: Secretary of War Pete Hegseth just arrived at Castelion to meet with the company’s founders as part of the Department of War 🇺🇸’s Arsenal Freedom Tour. Castelion Corporation is a U.S. defense technology startup founded in late 2022 by former SpaceX engineers, including CEO Bryon Hargis, Sean Pitt, and Andrew Kreitz. The company specializes in designing, testing, and manufacturing affordable, mass-producible hypersonic strike missiles to restore America's conventional deterrence capabilities, particularly against adversaries like China and Russia in hypersonic weapons. Their flagship product is the Blackbeard hypersonic missile system, engineered for high-volume production (thousands per year), lower costs (potentially 10x cheaper than comparable legacy systems), rapid development cycles (months instead of years), and compatibility with existing U.S. military platforms like HIMARS for the Army and various Navy systems. Castelion employs a SpaceX-inspired approach: vertical integration, rapid iteration, high-cadence testing (over 25 flight tests by late 2025), and scalable manufacturing using nontraditional suppliers to cut costs and speed. Castelion is Headquartered in Torrance, California, with facilities in Texas and a major new 1,000-acre solid rocket motor campus in Sandoval County, New Mexico called Project Ranger. The company has secured significant funding, including a $350 million Series B round in December 2025 following earlier rounds, to ramp up production. It has won multiple Department of War 🇺🇸 contracts, including integration awards with the U.S. Army and Navy, SBIR phases, and AFWERX programs for hypersonic development. Castelion aims to address the U.S. lag in hypersonic munitions by focusing on scale and affordability rather than boutique, high-end designs from traditional suppliers like Lockheed Martin Lockheed Martin or Raytheon Raytheon. Upon Pete Hegseth’s arrival, a large screen in the Castelion lobby lit up with a message that read “Welcome Secretary of War Pete Hegseth” and “Arsenal of Freedom” with a video of a missile launch.

HAPPENING NOW: Secretary of War Pete Hegseth just arrived at Castelion to meet with the company’s founders as part of the Department of War 🇺🇸’s Arsenal Freedom Tour. Castelion Corporation is a U.S. defense technology startup founded in late 2022 by former SpaceX engineers, including CEO Bryon Hargis, Sean Pitt, and Andrew Kreitz. The company specializes in designing, testing, and manufacturing affordable, mass-producible hypersonic strike missiles to restore America's conventional deterrence capabilities, particularly against adversaries like China and Russia in hypersonic weapons. Their flagship product is the Blackbeard hypersonic missile system, engineered for high-volume production (thousands per year), lower costs (potentially 10x cheaper than comparable legacy systems), rapid development cycles (months instead of years), and compatibility with existing U.S. military platforms like HIMARS for the Army and various Navy systems. Castelion employs a SpaceX-inspired approach: vertical integration, rapid iteration, high-cadence testing (over 25 flight tests by late 2025), and scalable manufacturing using nontraditional suppliers to cut costs and speed. Castelion is Headquartered in Torrance, California, with facilities in Texas and a major new 1,000-acre solid rocket motor campus in Sandoval County, New Mexico called Project Ranger. The company has secured significant funding, including a $350 million Series B round in December 2025 following earlier rounds, to ramp up production. It has won multiple Department of War 🇺🇸 contracts, including integration awards with the U.S. Army and Navy, SBIR phases, and AFWERX programs for hypersonic development. Castelion aims to address the U.S. lag in hypersonic munitions by focusing on scale and affordability rather than boutique, high-end designs from traditional suppliers like Lockheed Martin Lockheed Martin or Raytheon Raytheon. Upon Pete Hegseth’s arrival, a large screen in the Castelion lobby lit up with a message that read “Welcome Secretary of War Pete Hegseth” and “Arsenal of Freedom” with a video of a missile launch.

Laura Loomer

177,419 次观看 • 7 个月前

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.

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

33,361 次观看 • 25 天前

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

NRN Agents

20,764 次观看 • 1 年前