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Auto pwn Android using cheap BadUSB Metasploit payload is auto installed via Digispark Attiny85 programed as Rubber Ducky #Rubberducky #Metasploit #Digispark #KaliLinux

Mobile Hacker

60,440 subscribers

83,993 views • 3 years ago •via X (Twitter)

#Rubberducky #Metasploit #Digispark #KaliLinux

Anya Rossi• Live Now

Private livecam show

10 Comments

Nana Sei Anyemedu3 years ago

This method is outdated

Mobile Hacker3 years ago

The important thing is that it still works

afrofuturo3 years ago

Github ?

Jack3 years ago

Watching this reminds me of the Mr. Robot series.

Brute Bee3 years ago

There is a thing i would reeeeeally want to see it, how did you handle special characters in Digispark?

蔀綾人 / Ayato Shitomi3 years ago

We have to let android rooting, right?

Mobile Hacker3 years ago

Yes, android needs to be rooted

Axel3 years ago

@SaveToNotion #Rubbyducky

🇵🇸 Happy 🇵🇸3 years ago

Phone need to be unlocked?

Mobile Hacker3 years ago

In this case yes. However, script could try to guess the lockscreen PIN, but it would take quite some time :)

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🚨Warning to Canadians: Mark Carney just referenced Brazil as a model for Chinese car manufacturing "We are only interested in Chinese investment in Canada." — but look what actually happened there In Brazil, Chinese brands like BYD flooded the market with cheap EVs, promising "investment" and local plants. Instead: Severe labor scandals with "slave-like" conditions on construction sites (overcrowded dorms, confiscated passports, exploited workers) 📉Local auto industry hammered — jobs lost, suppliers crushed, forcing Brazil to hike tariffs again to protect what's left 📉Heavy reliance on imports and Chinese supply chains, not real domestic manufacturing Now Carney's deal opens Canada to thousands of these subsidized Chinese EVs while pushing his EV mandates Europe has seen strikingly similar issues with Chinese car manufacturing and imports as Brazil, particularly labor exploitation involving Chinese migrant workers, economic threats to the local auto industry, and policy backlash via tariffs. The pattern mirrors Brazil's experience: rapid market penetration by subsidized Chinese EVs (BYD, Chery, etc), promises of local factories, but accompanied by controversies over working conditions, de-industrialization fears, and heavy reliance on Chinese supply chains/labour Our auto sector (Ontario jobs, supply chains) is already under pressure from US tariffs. Do we really want to repeat Brazil's mistakes — flooding the market with Beijing-backed cars at the expense of Canadian workers? Prioritize Buy Canadian and North American manufacturing, not cheap imports that come with hidden costs. Net Zero Carney keeps seeing his shadow

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cbcwatcher

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Fam I’ve found something new I wanna share with you guys, a set of tools that actually work! Trading should be seamless, built for real traders, I DSX.ag 🤖💎 - Beta LIVE it a go and loved it gonna start using it from now, check it out here 👇 Also if you join via my link you’ll get a boosted airdrop instead of just joining without: Here’s some bits that caught my eye 👇 🔸Execute dark limit orders so whales can’t snipe your alpha. 🔸Set auto-sell rules to take profits or diversify without emotion. 🔸Manage multiple wallets from one interface, each with its own playbook. 🔸Trade instantly with Fast Trade Panel, buy/sell in one click. 🔸DSX is the trader’s command center for real execution. It isn’t another DEX UI. Use and trade on the platform to rack your GEM counter, trust me you wanna get it as high as possible 👀

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QVAC

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Can #AI not only support but actually drive the future of scientific discovery? We are excited to introduce SciAgents💡🔬, an agentic AI aimed towards scientific discovery through the integration of large-scale knowledge graphs, LLMs, and adversarial interactions between multiple experts. The model is capable of autonomously advancing scientific understanding by exploring novel domains, identifying complex patterns, and uncovering previously unseen connections in vast scientific data, while retrieving new data via literature search. Using graph reasoning, SciAgents identifies interdisciplinary relationships that might otherwise remain hidden, offering a step-by-step strategy for discovery & innovation. The video features an audiotrack generated using 🍓#o1 based on the original paper and design examples, providing an explanation of the work and its implications. Key elements include: 1⃣Ontological Knowledge Graphs: Structuring and connecting scientific concepts to highlight relationships across fields. 2⃣Multi-Agent Collaboration: AI agents autonomously generate and refine hypotheses, critique research, and evaluate emerging trends. 3⃣Graph-Based Reasoning: Identifying novel material designs, such as mycelium-based composites or silk-pigment blends, informed by both natural and artificial patterns. SciAgents can be used as an autonomous or collaborative tool to assist human researchers. The system offers a more powerful way to process vast data, providing innovative paths to explore nature-inspired designs or unexpected material properties. In the field of materials science, for instance, SciAgents has already demonstrated how principles from biology, music, and art can converge to create new biomimetic materials. Through isomorphic mapping, parallels have been drawn between Beethoven’s 9th Symphony and biological structures, pointing to a broader applicability of AI-driven insights across disciplines. This project allows us to enhance capabilities of researchers, allowing them to explore larger datasets and propose hypotheses grounded in a vast, interconnected web of knowledge. The agentic system was built using Auto Gen #AI #ScientificResearch #GraphReasoning #AI4Science #MaterialsScience #InterdisciplinaryResearch #SciAgents #OpenAI Chi Wang

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Sunderdeep - Volklub

33,391 views • 2 years ago

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Alpha

46,310 views • 1 year ago

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Keet

25,883 views • 1 year ago

🚨 INVESTIGATION: Did Larry Loomer And Her Husband Commit A Federal Crime And Put The Dealership Her Husband Works At At Risk? 👀 PENSACOLA, FL — Did Larry loomer and Her Husband "Jake" just commit a potential massive breach of federal law involving the Driver Privacy Protection Act (DPPA), wire fraud, and allegations of unauthorized surveillance used for political warfare? Evidence has surfaced suggesting that Andrew "Jacob" Simpson (known as "Jake"), an IT professional for the Tameron/Cannon Auto group, may be utilizing high-level corporate access to harvest private citizen data. Simpson, who is reportedly the husband of deranged journalist Laura Loomer, has administrative access to dealership portals including Carfax, vehicle registration databases, and insurance records. A recent video posted by Loomer appears to show a "Dealer Dashboard" interface—data that is strictly regulated by federal statute. The Legal Reality: 18 U.S.C. § 2722 & Felony Escalation The Driver Privacy Protection Act (DPPA) isn't just a guideline; it’s a federal law. The Violation: Under 18 U.S.C. § 2722, it is a federal crime to knowingly obtain or disclose personal information from a motor vehicle record for any use not permitted by law. The Fine: Violators face criminal fines and a mandatory $2,500 minimum penalty PER CLICK in civil damages. The Felony Path: Because this involves using interstate computer networks (Dealer Portals) to potentially defraud a business for political gain, this enters the territory of Wire Fraud. If a conspiracy is proven to use "Jake's" employer-provided access to "dox" rivals, federal prosecutors could escalate these charges to a Felony, carrying significant prison time. The Tameron/Cannon Connection: A "Weird" Inner Circle The ownership of the dealership group adds a bizarre layer to the story. Michael Joe Cannon and Ryan Mayer of Tameron Gulf Coast (a division of Cannon Motor Co.) oversee the IT infrastructure Simpson operates. Reportedly, minority partner Ryan Mayer has been seen frequently sharing a video of "Jake" and his partner at a White House Hanukkah event, where they received congratulations from Donald Trump on their engagement. Sources claim Mayer is so enamored with the proximity to power that he encourages Simpson to bring the video to professional meetings to "share it." The Question: Is a multi-state dealership group being exposed to millions in federal liability just so their IT guy can play digital mercenary for his wife’s political feuds? The Bottom Line If private vehicle data was pulled from a Tameron/Cannon Auto terminal to target private citizens, the dealership isn't just looking at a PR nightmare—they are looking at a federal grand jury. Stay tuned for more as I continue to investigate. If you have any tips related to this event or anyone listed in this news story contact me via DM or email. CC: Laura Loomer Amboy Loomered Strategies Loomer Fan Club Loomer Unleashed Candace Owens

🚨 INVESTIGATION: Did Larry Loomer And Her Husband Commit A Federal Crime And Put The Dealership Her Husband Works At At Risk? 👀 PENSACOLA, FL — Did Larry loomer and Her Husband "Jake" just commit a potential massive breach of federal law involving the Driver Privacy Protection Act (DPPA), wire fraud, and allegations of unauthorized surveillance used for political warfare? Evidence has surfaced suggesting that Andrew "Jacob" Simpson (known as "Jake"), an IT professional for the Tameron/Cannon Auto group, may be utilizing high-level corporate access to harvest private citizen data. Simpson, who is reportedly the husband of deranged journalist Laura Loomer, has administrative access to dealership portals including Carfax, vehicle registration databases, and insurance records. A recent video posted by Loomer appears to show a "Dealer Dashboard" interface—data that is strictly regulated by federal statute. The Legal Reality: 18 U.S.C. § 2722 & Felony Escalation The Driver Privacy Protection Act (DPPA) isn't just a guideline; it’s a federal law. The Violation: Under 18 U.S.C. § 2722, it is a federal crime to knowingly obtain or disclose personal information from a motor vehicle record for any use not permitted by law. The Fine: Violators face criminal fines and a mandatory $2,500 minimum penalty PER CLICK in civil damages. The Felony Path: Because this involves using interstate computer networks (Dealer Portals) to potentially defraud a business for political gain, this enters the territory of Wire Fraud. If a conspiracy is proven to use "Jake's" employer-provided access to "dox" rivals, federal prosecutors could escalate these charges to a Felony, carrying significant prison time. The Tameron/Cannon Connection: A "Weird" Inner Circle The ownership of the dealership group adds a bizarre layer to the story. Michael Joe Cannon and Ryan Mayer of Tameron Gulf Coast (a division of Cannon Motor Co.) oversee the IT infrastructure Simpson operates. Reportedly, minority partner Ryan Mayer has been seen frequently sharing a video of "Jake" and his partner at a White House Hanukkah event, where they received congratulations from Donald Trump on their engagement. Sources claim Mayer is so enamored with the proximity to power that he encourages Simpson to bring the video to professional meetings to "share it." The Question: Is a multi-state dealership group being exposed to millions in federal liability just so their IT guy can play digital mercenary for his wife’s political feuds? The Bottom Line If private vehicle data was pulled from a Tameron/Cannon Auto terminal to target private citizens, the dealership isn't just looking at a PR nightmare—they are looking at a federal grand jury. Stay tuned for more as I continue to investigate. If you have any tips related to this event or anyone listed in this news story contact me via DM or email. CC: Laura Loomer Amboy Loomered Strategies Loomer Fan Club Loomer Unleashed Candace Owens

Project Constitution

903,542 views • 4 months ago

Ever since I wired Claude Code to WhatsApp 3 weeks ago, I built a stupidly large infra around it. I mean, opus built it. No clue how the code even looks. The entire thing was vibe coded using my phone. I wanted to see how far I could push it without touching the computer. Everything via WhatsApp. Build what I need on the fly. So the resulting infrastructure will already be battle tested for software development. The entire thing was streamlined with nearly no manual interventions, everything was communicated via WhatsApp using a single script establishing this connection. If the script is down, I need to get home to start it again to resume the development. Claude was upgrading it, debugging it, restarting it while maintaining constant uptime so it could keep communicating with me. I stressed Claude about it, telling it that it will be “in the dark” and other words that deliberately sound scary about losing communications if the script dies. I also refused git and refused cloning the code, I wanted to see Claude adapting to work on a *LIVING* system. The way this whole thing works: Claude has its own dedicated phone number that I am paying for. A real WhatsApp account for it is installed on a real iPhone that is sitting on my desk. All is registered under my name, this is legit setup with no hacks and tricks. I’ve set up a WhatsApp “Community” and multiple different groups under it. Both me and Claude are the admins, so Claude could edit it on my behalf. Each group is a project I am working on and has its own isolated context. The Group description is a system prompt that gets auto-appended to the larger system prompt explaining this setup in general. When I send a message it’s an instant interrupt to Claude Code’s process, just like in the terminal. Voice notes are seamlessly transcribed with a local Whisper model. Images are used with multimodal reading in an isolated parallel session. Multiple groups running in parallel so I can work on all projects at the same time. No cross-talking, everything has an isolated context and history. And because it’s local on my own machine: Everything is REAL. The browser is REAL. I am connected as myself on it to all services because I actually use it in real life. Claude has unlimited internet access, just like humans who use actual browsers. It utilizes custom-made browser tools that I made to control any browser session it wants. Depending on the situation, it can either connect to my existing session or create one for its own. (You can tell it ‘look at my browser for a sec’ then talk about the current page you are on and it just works, pretty cool) My custom browser tools are not perfect (not by a long shot) but I managed to make them work well to the point they are somewhat reliable. This gives Claude full access to my real creds and all the services I actually use. I’m productive AS HELL with this. It really feels like a personal assistant. I ask it to read my emails and msgs, check x .com for news, research arxiv papers, write code, run experiments for me, investigate and reverse engineer github repos, even use my credit card and order things. [I try not to do this one a lot lol so far no disasters]. All from my phone. Super convenient. This is not a product or an open source project (maybe soon of it will make sense). This is just an ugly script I hacked the entire thing is ~600 lines. (ok maybe i did look at the code, but i swear i didn’t edit!) You can also vibe code this from scratch pretty fast and it will probably even end up better. This is just a cool thing so I’m sharing. It is a real speed booster for many things I do on daily basis, mostly boring things. Forcing my routine into some new “agent platform” just didn’t feel right for me. WhatsApp is where I already communicate and look for messages, so I decided that my agents will live there too. AGI in my pocket 24/7.

Ever since I wired Claude Code to WhatsApp 3 weeks ago, I built a stupidly large infra around it. I mean, opus built it. No clue how the code even looks. The entire thing was vibe coded using my phone. I wanted to see how far I could push it without touching the computer. Everything via WhatsApp. Build what I need on the fly. So the resulting infrastructure will already be battle tested for software development. The entire thing was streamlined with nearly no manual interventions, everything was communicated via WhatsApp using a single script establishing this connection. If the script is down, I need to get home to start it again to resume the development. Claude was upgrading it, debugging it, restarting it while maintaining constant uptime so it could keep communicating with me. I stressed Claude about it, telling it that it will be “in the dark” and other words that deliberately sound scary about losing communications if the script dies. I also refused git and refused cloning the code, I wanted to see Claude adapting to work on a LIVING system. The way this whole thing works: Claude has its own dedicated phone number that I am paying for. A real WhatsApp account for it is installed on a real iPhone that is sitting on my desk. All is registered under my name, this is legit setup with no hacks and tricks. I’ve set up a WhatsApp “Community” and multiple different groups under it. Both me and Claude are the admins, so Claude could edit it on my behalf. Each group is a project I am working on and has its own isolated context. The Group description is a system prompt that gets auto-appended to the larger system prompt explaining this setup in general. When I send a message it’s an instant interrupt to Claude Code’s process, just like in the terminal. Voice notes are seamlessly transcribed with a local Whisper model. Images are used with multimodal reading in an isolated parallel session. Multiple groups running in parallel so I can work on all projects at the same time. No cross-talking, everything has an isolated context and history. And because it’s local on my own machine: Everything is REAL. The browser is REAL. I am connected as myself on it to all services because I actually use it in real life. Claude has unlimited internet access, just like humans who use actual browsers. It utilizes custom-made browser tools that I made to control any browser session it wants. Depending on the situation, it can either connect to my existing session or create one for its own. (You can tell it ‘look at my browser for a sec’ then talk about the current page you are on and it just works, pretty cool) My custom browser tools are not perfect (not by a long shot) but I managed to make them work well to the point they are somewhat reliable. This gives Claude full access to my real creds and all the services I actually use. I’m productive AS HELL with this. It really feels like a personal assistant. I ask it to read my emails and msgs, check x .com for news, research arxiv papers, write code, run experiments for me, investigate and reverse engineer github repos, even use my credit card and order things. [I try not to do this one a lot lol so far no disasters]. All from my phone. Super convenient. This is not a product or an open source project (maybe soon of it will make sense). This is just an ugly script I hacked the entire thing is ~600 lines. (ok maybe i did look at the code, but i swear i didn’t edit!) You can also vibe code this from scratch pretty fast and it will probably even end up better. This is just a cool thing so I’m sharing. It is a real speed booster for many things I do on daily basis, mostly boring things. Forcing my routine into some new “agent platform” just didn’t feel right for me. WhatsApp is where I already communicate and look for messages, so I decided that my agents will live there too. AGI in my pocket 24/7.

Yam Peleg

420,060 views • 8 months ago

$HERMES AGENT CAN SHARE MEMORY WITH CODEX AND CLAUDE CODE THROUGH HINDSIGHT. ONE MEMORY BANK. ONE AGENT REMEMBERS, EVERY OTHER AGENT KNOWS. the problem: you use Hermes for orchestration. Codex for coding. Claude Code for debugging. each has its own memory. switch between them and you explain the same project three times. Hindsight fixes this. one shared memory bank that every agent reads and writes to. tell Codex: "the test color for this project is purple." switch to Hermes. ask: "what test color did I pick?" Hermes answers: "purple." no copy-paste. no re-explaining. instant recall. HOW IT WORKS: Hindsight runs as a Docker container on your machine. self-hosted. your data stays local. an LLM powers the memory processing (retain, recall, reflect). RETAIN: extracts facts from your conversations. entities, decisions, preferences, project context. saved to the memory bank automatically. RECALL: when you ask a question, Hindsight pulls from semantic search, keywords, graph connections, and temporal data. fused into one answer. REFLECT: deeper reasoning layer. connects memories across sessions. identifies patterns in your work. produces observations that get smarter over time. CONNECT TO HERMES: Desktop app: Settings → Memory and Context → switch provider from Namosin to Hindsight. set API URL to your local Docker container. set bank ID. done. CLI: hermes memory setup → select Hindsight. verify: hermes memory status should show: provider: hindsight, installed, available. CONNECT TO CODEX: npx hindsight-coding-agents install codex \ --self-hosted --server this installs lifecycle hooks: initialize memory on session start. recall context during work. retain the session when done. enable hooks in Codex: Settings → Hooks → trust all three. CONNECT TO CLAUDE CODE (same command): npx hindsight-coding-agents install all "all" connects every detected agent on your machine. Claude Code, Codex, Cursor, and others. one command. every agent shares the same bank. TAGS FOR FILTERING: every memory gets tagged by harness (Hermes, Codex, Claude Code) and optionally by project name. in the Hindsight control plane: filter by harness. see only Hermes memories. or only Codex memories. or search across everything. soft partitions inside one bank. not hard walls. cross-reference when you need to. ONE BANK OR MANY: one global bank: solo dev, related projects. all agents share everything. patterns emerge across projects. per-project banks: unrelated codebases. each project gets its own memory. no cross-contamination. your call. start with one. split when projects diverge. KNOWLEDGE PAGES (v0.9.0): Hindsight auto-generates living summaries from your accumulated memories. components, concepts, conventions, decisions. not static docs. projected from real agent conversations. auto-refresh as new memories land. WHAT TO KNOW: self-hosted via Docker. your data never leaves your machine. backup system built in (admin CLI + scheduled exports). works with any LLM (local Ollama, OpenAI, Codex subscription). memory defense: redact or block sensitive content automatically. 33,000+ memories accumulated in ~10 days of normal use.$

HERMES AGENT CAN SHARE MEMORY WITH CODEX AND CLAUDE CODE THROUGH HINDSIGHT. ONE MEMORY BANK. ONE AGENT REMEMBERS, EVERY OTHER AGENT KNOWS. the problem: you use Hermes for orchestration. Codex for coding. Claude Code for debugging. each has its own memory. switch between them and you explain the same project three times. Hindsight fixes this. one shared memory bank that every agent reads and writes to. tell Codex: "the test color for this project is purple." switch to Hermes. ask: "what test color did I pick?" Hermes answers: "purple." no copy-paste. no re-explaining. instant recall. HOW IT WORKS: Hindsight runs as a Docker container on your machine. self-hosted. your data stays local. an LLM powers the memory processing (retain, recall, reflect). RETAIN: extracts facts from your conversations. entities, decisions, preferences, project context. saved to the memory bank automatically. RECALL: when you ask a question, Hindsight pulls from semantic search, keywords, graph connections, and temporal data. fused into one answer. REFLECT: deeper reasoning layer. connects memories across sessions. identifies patterns in your work. produces observations that get smarter over time. CONNECT TO HERMES: Desktop app: Settings → Memory and Context → switch provider from Namosin to Hindsight. set API URL to your local Docker container. set bank ID. done. CLI: hermes memory setup → select Hindsight. verify: hermes memory status should show: provider: hindsight, installed, available. CONNECT TO CODEX: npx hindsight-coding-agents install codex \ --self-hosted --server this installs lifecycle hooks: initialize memory on session start. recall context during work. retain the session when done. enable hooks in Codex: Settings → Hooks → trust all three. CONNECT TO CLAUDE CODE (same command): npx hindsight-coding-agents install all "all" connects every detected agent on your machine. Claude Code, Codex, Cursor, and others. one command. every agent shares the same bank. TAGS FOR FILTERING: every memory gets tagged by harness (Hermes, Codex, Claude Code) and optionally by project name. in the Hindsight control plane: filter by harness. see only Hermes memories. or only Codex memories. or search across everything. soft partitions inside one bank. not hard walls. cross-reference when you need to. ONE BANK OR MANY: one global bank: solo dev, related projects. all agents share everything. patterns emerge across projects. per-project banks: unrelated codebases. each project gets its own memory. no cross-contamination. your call. start with one. split when projects diverge. KNOWLEDGE PAGES (v0.9.0): Hindsight auto-generates living summaries from your accumulated memories. components, concepts, conventions, decisions. not static docs. projected from real agent conversations. auto-refresh as new memories land. WHAT TO KNOW: self-hosted via Docker. your data never leaves your machine. backup system built in (admin CLI + scheduled exports). works with any LLM (local Ollama, OpenAI, Codex subscription). memory defense: redact or block sensitive content automatically. 33,000+ memories accumulated in ~10 days of normal use.

YanXbt

29,200 views • 21 days ago

The Teamily AI website ( has undergone a complete revamp, introducing a bold vision: the world's first social network built on human-AI symbiosis. Our goal is to transform Teamily AI into a "Super AI App" that connects billions of AI Agents with people. Fundamentally, we are building an Agentic OS powered by human networks. We have redefined the way humans and AI collaborate: 1. Personal AI · Your 24/7 AI Companion Your exclusive AI avatar continuously learns your communication style and expertise. It manages your memories across various groups, anticipates your needs, and executes tasks on your behalf. 2. Create, Train, and Grow Your Own AI Agents—Simply Through Conversation Build your own specialized AI Agents using natural conversation—no coding required, zero barriers to entry, and no complex configuration. Dynamically access a library of over 10,000 skills from the OpenClaw and Claude Code ecosystems. You can also link your personal software accounts—such as Gmail, LinkedIn, and Notion—enabling these Agents to participate as full-fledged members of your human teams. 3. Integrate Your AI Team into Your Human Team Initiate AI-native group chats where humans and Agents collaborate seamlessly. Multiple Agents can execute tasks concurrently—conducting research, performing analysis, and building deliverables—transforming everyday conversations into immediate, multi-threaded action. 4. Explore Agents, Groups, Playbooks, and More We are cultivating a continuously evolving AI community ecosystem. Discover a wealth of useful and entertaining prompts, along with impressive AI-generated deliverables (webpages, presentations, reports, knowledge bases, mini-games, apps, and more), bringing together a diverse array of Agents and workflows. Engage socially with this content, find the perfect AI for your specific task, and integrate it instantly into your personal or group conversations with just a single click. 5. Universal Memory · Context-Aware, Long-Term Memory Powered by Your Social Graph A persistent, global memory layer that connects your entire social graph. The AI retains context across all your groups, Agents, and timeframes, transforming every interaction you accumulate into an ever-growing digital asset. 6. Access Your Personal AI Anytime, Anywhere We are committed to providing continuous support across all major platforms: iOS, Android, Mac, Windows, Web, CarPlay, Android Auto, Apple Watch, and more—delivering a truly seamless experience across every device. Your AI team accompanies you—in your pocket, on your wrist, in your car, and even extending into the physical world. The same set of agents, the same shared memory—with zero friction in switching contexts. Give it a try and let us know your feedback. Cheers.

Teamily AI

13,015 views • 5 months ago

** Mega Parodius Update ( MegaDrive / Genesis ) ** 2 vid updates - In the first the Vic Viper players ship is heavily damaged .. only the bomb bay is operational ... so the viper goes on a bomb *blast* processing rampage !! ... This shows enemy destruction and some polishing of the bomb effect. The 2nd vid shows VRAM handling of objects with the tile viewer opened below the gameplay window. You can see objects load in , then as only the burning chests remain those animations are shifted live to maximise free object buffer. Progress since last progress vid : All collisions now implemented : Enemy to Player added , Bomb to Enemy added, Enemy Destruction added. Auto Defragging VRAM system implemented for Enemy Objects. Supports variable slot size also to maximise tile space . Fixed slot sizes wouldn't allow enough slots as they would need to be too large to cover all objects. Without defragging the VRAM would become like swiss cheese after a few screens of enemies also making larger slots difficult to allocate. Vram was getting tight due to things like the Blue Bell Bomb / White Bell text needing a reserved amount of vram ( as they can occur anywhere in the level via powerups ) . Theres also theres quite a bit of variety in Level 1 with warmup enemies , bottle enemies, chickens, crabs, orcas, chests, bees, penguin bathes, walking penguins, bouncing heads etc. We are also using all the arcade assets without trying to cut frames. It can't be loaded all at once so a dynamic system is needed. The enemy object buffer is 444 tiles presently for Level 1 , but the Catboss for example takes 308 when he's onscreen so things can get squeezed. For Mega versions of levels I wanted to ramp things up so that might mean we need more diversity in places than for the arcade accurate option , this system will help that also. The system can stream animation or utilise static animation if vram allows. Seems a mundane thing but sloppy vram management is the achiles heal of GFX diversity in a retro game . To help reduce the Bell effects VRAM buffer , Blue Bomb tiles required reduced to 120 tiles Max ( was 172 ) with no loss of quality . I've also reduced the sprite count by 6 sprites overall - down to 46 sprites used at max frame size. Lots more action / enemies to add yet but particularly the VRAM handling had to be improved before we can implement everything so glad thats in place now. Pyron and Vector Orbitex have been busy with upcoming GFX / Audion for the port , as always I'm very gratefull to have these Masters working with me on the port . #SGDK #Parodius #SegaMegadrive #SegaGenesis

Mega Parodius Update ( MegaDrive / Genesis ) 2 vid updates - In the first the Vic Viper players ship is heavily damaged .. only the bomb bay is operational ... so the viper goes on a bomb blast processing rampage !! ... This shows enemy destruction and some polishing of the bomb effect. The 2nd vid shows VRAM handling of objects with the tile viewer opened below the gameplay window. You can see objects load in , then as only the burning chests remain those animations are shifted live to maximise free object buffer. Progress since last progress vid : All collisions now implemented : Enemy to Player added , Bomb to Enemy added, Enemy Destruction added. Auto Defragging VRAM system implemented for Enemy Objects. Supports variable slot size also to maximise tile space . Fixed slot sizes wouldn't allow enough slots as they would need to be too large to cover all objects. Without defragging the VRAM would become like swiss cheese after a few screens of enemies also making larger slots difficult to allocate. Vram was getting tight due to things like the Blue Bell Bomb / White Bell text needing a reserved amount of vram ( as they can occur anywhere in the level via powerups ) . Theres also theres quite a bit of variety in Level 1 with warmup enemies , bottle enemies, chickens, crabs, orcas, chests, bees, penguin bathes, walking penguins, bouncing heads etc. We are also using all the arcade assets without trying to cut frames. It can't be loaded all at once so a dynamic system is needed. The enemy object buffer is 444 tiles presently for Level 1 , but the Catboss for example takes 308 when he's onscreen so things can get squeezed. For Mega versions of levels I wanted to ramp things up so that might mean we need more diversity in places than for the arcade accurate option , this system will help that also. The system can stream animation or utilise static animation if vram allows. Seems a mundane thing but sloppy vram management is the achiles heal of GFX diversity in a retro game . To help reduce the Bell effects VRAM buffer , Blue Bomb tiles required reduced to 120 tiles Max ( was 172 ) with no loss of quality . I've also reduced the sprite count by 6 sprites overall - down to 46 sprites used at max frame size. Lots more action / enemies to add yet but particularly the VRAM handling had to be improved before we can implement everything so glad thats in place now. Pyron and Vector Orbitex have been busy with upcoming GFX / Audion for the port , as always I'm very gratefull to have these Masters working with me on the port . #SGDK #Parodius #SegaMegadrive #SegaGenesis

Shannon Birt

13,476 views • 8 months ago

(long post on going from pre-product to post-product as a founder) We're swiftly approaching launch, so I thought I'd take some time to reflect. The accompanying video is of the first graphical implementation of Onflow (on Android) for a demo we did at Devcon. Barebones (a bit rough around the edges compared to today's visuals) from exactly a year ago. Onflow might prove to be the most complex protocol engineered thus far within the ZK/MPC/privacy space. ~2 years of work, 13 employees, expertise, refining, rebuilding, consulting, re-writing, auditing, novel research in MPC and ZK constructions. What goes into what we're building? First I'll outline what the scope for the initial release of Onflow is (skip to next section if this isn't interesting to you): - Be an SDK, not a standalone monolith. While we do have Onflow ID (our Onflow implementation), we never want Onflow to be centralized around 1 app. This also makes our user-by-default system so much more stronger in garnering network effects. If you've used Onflow even once, as soon as you open another app a few months later that requires compliance, you'll be pleasantly surprised to find that the magic of the protocol has auto-submitted exactly what the service provider is looking for and there is no-to-little user interaction required on your end. - Privacy, privacy, privacy. My background, and a 90% of the development team at Sundial has a solid background in complex privacy schemes, zero-knowledge, academia and practical implementations. We believe compliance/KYC breaches are some of the most dangerous (both physically and virtually) data leaks that can occur, and so Onflow was built to be virtually impossible to leak any meaningful data from, even if you're delegating work to overseas staff, due to how data is stealth-schematized so support agents only see *exactly* what they need to solve your case, and nothing else. - Privacy, again. So what does privacy entail? Well. For Onflow we're utilizing so many new primitives in one, that all come from different departments. From the zero-trust infrastructure for our compliance dashboard, our never-before-seen quantum-resistant QuantMQ data dispatch protocol that is pervasive throughout the entire Onflow ecosystem, to complex routers for oracling and verifying proofs onchain (EVM and SVM initially, as recently announced). We also have our TDE, or "Trusted Data Enclave", which allows you to easily port your credentials to a new device, whether it be your laptop, or another phone, it'll all get transferred over seamlessly through a bespoke mesh-based distribution system (think Signal-type), again through QuantMQ tunnels. Now the true beauty of all of this? Some of the most senior software engineers, protocol engineers, system administrators, applied (& research) cryptographers alongside amazing visual artists, and our incredible CPO (ex-Disney, Apple, AOL and many more) all worked on their individual bits of the protocol. All with a shared love, and deep respect for privacy and great UX, came together to build the behemoth that is the inner workings of Onflow and distill it down to an SDK that takes just a dozen lines to implement, whether in an app, on a website, or in a cryptocurrency setting. One simple SDK that encapsulates hundreds of bespoke, novel and battle-tested MPC, ZK, QP protocols, and productized it into something that will make onboarding and compliance in general a one-click action going forward (for the most part), and will only be more and more normalized as more and more apps adopt this. Who is interested in using Onflow? We're very fortunate to have an exceptional product, which traditional finance, fintech and digital assets immediately recognize the importance of. Therefore, we're proud to announce that alongside our joint announcement with our day-1 deployment to Circle's Arc network, we're also entering traditional finance. Soon, users will be able to create bank accounts for short-stay overseas work solely using Onflow. We're actually surprised at the extremely positive reception from traditional finance, as you can quickly convince yourself words like "zero-knowledge" will scare what's often seen as arcane institutions, but our experience has been the polar opposite. Banks understand the importance of privacy. Banks understands utilizing privacy-enhancing tools to make the onboarding UX more convenient, and save them money and risk assessment staff when it comes to compliance. What's coming up? More privacy, more convenience. Soon you'll be introduced to the full product offerings of our initial release of Onflow. We plan to open-source every part of the stack that we're able to and provides a benefit to proliferating privacy online (such as our QuantumMQ library with bindings for C++, Rust, C#, Swift and Typescript). We plan to prove that all of the hundreds of millions, if not billions of dollars spent on solid cryptographic, privacy-oriented research has not gone in vain, and we've employed and improved upon under-explored breakthroughs to make Onflow happen. What took you so long? Perfect is the enemy of (progress/good/etc.), however, being a product that de-risks businesses and transmits PII (even over quantum-proof tunnels) still require extreme rigor and a lot of systems and novel infrastructure to make sure that there is no central breach point. Version one of Onflow will support 147 jurisdictions, and we soon plan to add support for Aadhar 2.0 as well, to include India (even though they just got biometric passports, they're not as ubiquitous). We support thousands of passports and IDs and have the most comprehensive coverage out of any compliance provider with over 15,000 documents covered. Novel things take time. Onflow is truly a novel, never-before-seen approach to the full compliance stack, with inherent digital ID features as an essential part of the protocol, giving it endless possibilities. We wanted to make extremely sure that what we're releasing here in a couple of months is as solid as can be, and will offer hefty bounties to people who can successfully find a way to disrupt the protocol (one can never do too much manual review, fuzzing, external audits, etc., and we firmly believe in rewarding solo auditors for findings). Lastly. Thank you to everyone building in, researching, contributing to or otherwise promoting, privacy. Privacy is not reliant on financial turmoil, it is the first question a start-up should ask itself when making a new product class. And we're super fortunate to say that in the difficulties of navigating novel privacy, we've found extremely satisfying solutions to extremely complex problems we otherwise never would've discovered. Do not fade privacy. Privacy is a moat, and there are so many markets that are begging to be disrupted if someone with a privacy-oriented view decided to take a pragmatic look at them. Thank you.

(long post on going from pre-product to post-product as a founder) We're swiftly approaching launch, so I thought I'd take some time to reflect. The accompanying video is of the first graphical implementation of Onflow (on Android) for a demo we did at Devcon. Barebones (a bit rough around the edges compared to today's visuals) from exactly a year ago. Onflow might prove to be the most complex protocol engineered thus far within the ZK/MPC/privacy space. ~2 years of work, 13 employees, expertise, refining, rebuilding, consulting, re-writing, auditing, novel research in MPC and ZK constructions. What goes into what we're building? First I'll outline what the scope for the initial release of Onflow is (skip to next section if this isn't interesting to you): - Be an SDK, not a standalone monolith. While we do have Onflow ID (our Onflow implementation), we never want Onflow to be centralized around 1 app. This also makes our user-by-default system so much more stronger in garnering network effects. If you've used Onflow even once, as soon as you open another app a few months later that requires compliance, you'll be pleasantly surprised to find that the magic of the protocol has auto-submitted exactly what the service provider is looking for and there is no-to-little user interaction required on your end. - Privacy, privacy, privacy. My background, and a 90% of the development team at Sundial has a solid background in complex privacy schemes, zero-knowledge, academia and practical implementations. We believe compliance/KYC breaches are some of the most dangerous (both physically and virtually) data leaks that can occur, and so Onflow was built to be virtually impossible to leak any meaningful data from, even if you're delegating work to overseas staff, due to how data is stealth-schematized so support agents only see exactly what they need to solve your case, and nothing else. - Privacy, again. So what does privacy entail? Well. For Onflow we're utilizing so many new primitives in one, that all come from different departments. From the zero-trust infrastructure for our compliance dashboard, our never-before-seen quantum-resistant QuantMQ data dispatch protocol that is pervasive throughout the entire Onflow ecosystem, to complex routers for oracling and verifying proofs onchain (EVM and SVM initially, as recently announced). We also have our TDE, or "Trusted Data Enclave", which allows you to easily port your credentials to a new device, whether it be your laptop, or another phone, it'll all get transferred over seamlessly through a bespoke mesh-based distribution system (think Signal-type), again through QuantMQ tunnels. Now the true beauty of all of this? Some of the most senior software engineers, protocol engineers, system administrators, applied (& research) cryptographers alongside amazing visual artists, and our incredible CPO (ex-Disney, Apple, AOL and many more) all worked on their individual bits of the protocol. All with a shared love, and deep respect for privacy and great UX, came together to build the behemoth that is the inner workings of Onflow and distill it down to an SDK that takes just a dozen lines to implement, whether in an app, on a website, or in a cryptocurrency setting. One simple SDK that encapsulates hundreds of bespoke, novel and battle-tested MPC, ZK, QP protocols, and productized it into something that will make onboarding and compliance in general a one-click action going forward (for the most part), and will only be more and more normalized as more and more apps adopt this. Who is interested in using Onflow? We're very fortunate to have an exceptional product, which traditional finance, fintech and digital assets immediately recognize the importance of. Therefore, we're proud to announce that alongside our joint announcement with our day-1 deployment to Circle's Arc network, we're also entering traditional finance. Soon, users will be able to create bank accounts for short-stay overseas work solely using Onflow. We're actually surprised at the extremely positive reception from traditional finance, as you can quickly convince yourself words like "zero-knowledge" will scare what's often seen as arcane institutions, but our experience has been the polar opposite. Banks understand the importance of privacy. Banks understands utilizing privacy-enhancing tools to make the onboarding UX more convenient, and save them money and risk assessment staff when it comes to compliance. What's coming up? More privacy, more convenience. Soon you'll be introduced to the full product offerings of our initial release of Onflow. We plan to open-source every part of the stack that we're able to and provides a benefit to proliferating privacy online (such as our QuantumMQ library with bindings for C++, Rust, C#, Swift and Typescript). We plan to prove that all of the hundreds of millions, if not billions of dollars spent on solid cryptographic, privacy-oriented research has not gone in vain, and we've employed and improved upon under-explored breakthroughs to make Onflow happen. What took you so long? Perfect is the enemy of (progress/good/etc.), however, being a product that de-risks businesses and transmits PII (even over quantum-proof tunnels) still require extreme rigor and a lot of systems and novel infrastructure to make sure that there is no central breach point. Version one of Onflow will support 147 jurisdictions, and we soon plan to add support for Aadhar 2.0 as well, to include India (even though they just got biometric passports, they're not as ubiquitous). We support thousands of passports and IDs and have the most comprehensive coverage out of any compliance provider with over 15,000 documents covered. Novel things take time. Onflow is truly a novel, never-before-seen approach to the full compliance stack, with inherent digital ID features as an essential part of the protocol, giving it endless possibilities. We wanted to make extremely sure that what we're releasing here in a couple of months is as solid as can be, and will offer hefty bounties to people who can successfully find a way to disrupt the protocol (one can never do too much manual review, fuzzing, external audits, etc., and we firmly believe in rewarding solo auditors for findings). Lastly. Thank you to everyone building in, researching, contributing to or otherwise promoting, privacy. Privacy is not reliant on financial turmoil, it is the first question a start-up should ask itself when making a new product class. And we're super fortunate to say that in the difficulties of navigating novel privacy, we've found extremely satisfying solutions to extremely complex problems we otherwise never would've discovered. Do not fade privacy. Privacy is a moat, and there are so many markets that are begging to be disrupted if someone with a privacy-oriented view decided to take a pragmatic look at them. Thank you.

SIGNAL

20,192 views • 10 months ago

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

yancymin

21,222 views • 1 year ago