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Hey guys, I built a controller diagnostics tool last night - runs right in the browser, no install. Test polling rate & Latency (Any Controller) Stick Circularity & Drift (PS & Marius) Full DualSense support: recenter sticks, range-calibrate, lightbar & more Link to Github👇

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TheQuest

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27,440 Aufrufe • vor 2 Monaten •via X (Twitter)

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[New Xbox Controller Review] #ad Special thanks to Qrdgame_offcial for supplying me with a review unit of their Ferrox M5 Xbox & PC Controller QRD Ferrox M5 The QRD Ferrox M5 is a Wireless Xbox One–style gamepad with a transparent design. Since it targets Xbox One natively, it works automatically on PC and Xbox Series S/X. The included 2.4Ghz USB Dongle also supports Switch and Android with the right adapter (USB C), but I was not able to test those in time for this review. A Wireless Xbox Controller The QRD FERROX M5 comes in a familiar Xbox layout with Hall Effect joysticks, RGB rings around the sticks, and a magnetic & detachable clear shell that shows the internals. The controller feels very similar to a standard Xbox pad in terms of shape and size, but it’s slightly lighter at compared to the usual Xbox controller weight. The lighter weight makes it easier to hold for longer sessions without hand fatigue. The D-Pad is surprisingly good at dialing special moves feels as solid and responsive as the official Xbox controller, and that’s impressive at a lower price point. I spent a few days trying out the Mortal Kombat Legacy Kollection exclusively using this controller and I did not notice any difference at all. Capabilities From what I’ve tested, the controller performs extremely well for action games, fighting games, and shooters. The Hall Effect joysticks offer smooth movement and precise control with no drift issues. The D-Pad uses micro switches, so every input is tactile and accurate. The back triggers support an adaptive “trigger stop” mode, which shortens the travel distance for faster reaction time in FPS games or quicker blocks in Fighting Games. You also get 4 back macro buttons, turbo mode, and adjustable joystick sensitivity with deadzone options. Vibration strength and RGB lighting modes are also customizable. What can it do The FERROX M5 includes an 800mAh battery that lasts around 8 hours of gameplay. It only uses the 2.4Ghz wireless connection, not Bluetooth, so it always requires the included USB Dongle. The good thing is once you sync it with your Xbox or PC, you don’t need to sync it again—it carries over between both devices automatically. The 2.4G connection is stable and low latency, and the controller has a 3.5mm headphone jack for audio and mic support. It also features a quick calibration system to keep sticks and triggers accurate over time. The overall grip and shape feel close to the official Xbox controller, comfortable for long gaming sessions, and the transparent shell gives it a distinct look. Areas of improvement I initially had trouble charging the controller while playing because connecting it to the Xbox via USB would disable all inputs, making it unusable in wired mode. But luckily QRD Support helped and provided me with an updat - I had to connect it to a PC, download the firmware tool from QRD’s website, and update the controller manually. After installing the new firmware, the controller can now charge while being used normally on Xbox, so the issue is fully resolved. The Xbox button also behaves differently on Xbox, where the single press acts like hold and the hold acts like single press; this issue doesn’t appear on PC. Syncing with the dongle took a few attempts on both Xbox and PC, but once paired, it never needed syncing again. The wireless mode is strictly 2.4G with no Bluetooth support, so it cannot connect without the dongle, though the benefit is that one pairing works across both Xbox and PC. Final Summary ✅ Hall Effect Joystick ✅ Lights in the dark ✅ Good D-Pad for input dialing ✅ Light Controller ❌ First sync can be annoying on PC ❌ No bluetooth for phone usage - Dongle is necessary ❌ Needs an update for the Xbox Wired issues which require a PC The Controller is available on Amazon for $59.99, and will be part of the Black Friday Deals on their official website for even more discount! Amazon Link Website Link
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stevibe

50,584 Aufrufe • vor 4 Monaten

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Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: IEEE news article gave hints about the pipeline: Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.

Jim Fan

314,694 Aufrufe • vor 2 Jahren

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.
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Every morning I open my laptop and i get served with Alpha in Crypto and Ai.. basically, i got tired of checking a dozen tabs every morning just to find what's actually moving in AI and crypto. so i built my own radar using GPT 5.6 sol ( cc: Sam Altman ) And i have named it Signal Radar.. it sweeps 4 platforms at once.. will add more.. - X - hacker news - github - and reddit. throws out the noise, keeps only AI and crypto, and ranks what's left by what's ACTUALLY pulling.. loudest posts by likes, trending repos by the stars they got today, the reddit threads bubbling in the subs my people actually sit in.. and it doesn't just link them.. it reads them. click any card and the full thing's already pulled in, the whole thread, the whole post. so i'm not opening multiple tabs or social media platforms to catch up.. it did that overnight. this sweep alone: 77 signals in, 49 flagged as actually worth the click.. runs on my own machine. free. no api keys, no subscription, nothing. running on my own setup for now. want it? say so below and i'll make it open source
0:35

Every morning I open my laptop and i get served with Alpha in Crypto and Ai.. basically, i got tired of checking a dozen tabs every morning just to find what's actually moving in AI and crypto. so i built my own radar using GPT 5.6 sol ( cc: Sam Altman ) And i have named it Signal Radar.. it sweeps 4 platforms at once.. will add more.. - X - hacker news - github - and reddit. throws out the noise, keeps only AI and crypto, and ranks what's left by what's ACTUALLY pulling.. loudest posts by likes, trending repos by the stars they got today, the reddit threads bubbling in the subs my people actually sit in.. and it doesn't just link them.. it reads them. click any card and the full thing's already pulled in, the whole thread, the whole post. so i'm not opening multiple tabs or social media platforms to catch up.. it did that overnight. this sweep alone: 77 signals in, 49 flagged as actually worth the click.. runs on my own machine. free. no api keys, no subscription, nothing. running on my own setup for now. want it? say so below and i'll make it open source

Axel Bitblaze 🪓

16,996 Aufrufe • vor 1 Monat

This is the most insane story of 2025 The number 1 game in the entire world right now was built and shipped by a single person Made $20,000,000+ legit over night TylerTVGS built a Breaking Bad simulator by himself and now it has more players than games 1000+ devs worked on This is the power you have in 2025 Literally ANYONE can do this AI gives the power for ANY single person to come up with an idea, build it, and ship it no matter how little skills you have If you're thinking "oo you gotta be special and talented to do something like that" I promise you're wrong I did the same thing. I built and shipped an AI tool for X by myself and now it's my full time business I truly believe this is the single greatest economic opportunity of the last 1,000 years If you haven't started using Grok yet to plan and build apps, even if you have 0 experience, you're letting down your entire blood line Carve out your calendar, copy the prompt below, and run it today: "I have 0 programming experience at all but would like to build an app. Here is a list of my 5 interests. What are challenges than I can build with software? Choose the easiest challenge to solve then build me a plan for building it even though I've never programmed before in my life." Don't waste this opportunity.
0:40

This is the most insane story of 2025 The number 1 game in the entire world right now was built and shipped by a single person Made $20,000,000+ legit over night TylerTVGS built a Breaking Bad simulator by himself and now it has more players than games 1000+ devs worked on This is the power you have in 2025 Literally ANYONE can do this AI gives the power for ANY single person to come up with an idea, build it, and ship it no matter how little skills you have If you're thinking "oo you gotta be special and talented to do something like that" I promise you're wrong I did the same thing. I built and shipped an AI tool for X by myself and now it's my full time business I truly believe this is the single greatest economic opportunity of the last 1,000 years If you haven't started using Grok yet to plan and build apps, even if you have 0 experience, you're letting down your entire blood line Carve out your calendar, copy the prompt below, and run it today: "I have 0 programming experience at all but would like to build an app. Here is a list of my 5 interests. What are challenges than I can build with software? Choose the easiest challenge to solve then build me a plan for building it even though I've never programmed before in my life." Don't waste this opportunity.

Alex Finn

1,430,662 Aufrufe • vor 1 Jahr

🚨Science nerds are going to lose their minds. Kai Rowan just open sourced a framework that predicts how your brain responds to any text, audio, or video by simulating cortical fMRI activity with 30% more accuracy than Meta's own model. No fMRI scanner. No neuroscience PhD. No million-dollar lab. It's called NForge. Here's what this thing actually does: → Feed it any combination of text, audio, or video and it predicts cortical surface activity across ~20,484 brain vertices → Extracts deep features via LLaMA 3.2, V-JEPA2, and Wav2Vec-BERT simultaneously → Generates ROI attention maps showing exactly which brain regions fire hardest at which moments → Runs real-time streaming predictions from live feature streams -- no pre-loading the full clip → Breaks down exactly how much text vs audio vs video drove each prediction with per-vertex modality attribution scores → Adapts to entirely new subjects with just a few calibration scans -- no full retraining required Here's the wildest part: Built on Meta's TRIBE v2 foundation but adds 6 major capabilities Meta never shipped. Cross-subject generalization. Streaming inference. Modality attribution. torch.compile support. Full test coverage. Professional src/ package layout. You literally point this at a movie clip and it tells you which parts of the human cortex light up -- broken down by what your eyes, ears, and language centers each contributed. That sentence shouldn't be real in 2026. But here we are. 100% Open Source. pip install nforge. (Link in the comments)
0:23

🚨Science nerds are going to lose their minds. Kai Rowan just open sourced a framework that predicts how your brain responds to any text, audio, or video by simulating cortical fMRI activity with 30% more accuracy than Meta's own model. No fMRI scanner. No neuroscience PhD. No million-dollar lab. It's called NForge. Here's what this thing actually does: → Feed it any combination of text, audio, or video and it predicts cortical surface activity across ~20,484 brain vertices → Extracts deep features via LLaMA 3.2, V-JEPA2, and Wav2Vec-BERT simultaneously → Generates ROI attention maps showing exactly which brain regions fire hardest at which moments → Runs real-time streaming predictions from live feature streams -- no pre-loading the full clip → Breaks down exactly how much text vs audio vs video drove each prediction with per-vertex modality attribution scores → Adapts to entirely new subjects with just a few calibration scans -- no full retraining required Here's the wildest part: Built on Meta's TRIBE v2 foundation but adds 6 major capabilities Meta never shipped. Cross-subject generalization. Streaming inference. Modality attribution. torch.compile support. Full test coverage. Professional src/ package layout. You literally point this at a movie clip and it tells you which parts of the human cortex light up -- broken down by what your eyes, ears, and language centers each contributed. That sentence shouldn't be real in 2026. But here we are. 100% Open Source. pip install nforge. (Link in the comments)

Guri Singh

244,515 Aufrufe • vor 4 Monaten

What makes jack's Buzz special is it's built on Nostr. But wtf is Nostr? In the video below I explain why it allows Buzz to do things closed platforms can't, plus an example of building a custom solution on top of it for powerful workflows, e.g.: - Everything in Nostr is just a simple event: id, timestamp, kind, tags, content, signature. - You create an event, sign it, push it to relays. Relays are just servers, and anyone can run one. Buzz creates one for you on startup, or you can host your own. - No central server owns any of it and you can easily follow these events, whether they're from a person, agent, bot, whatever. - The events are the source of truth, not any one app's database, so it's easy to build on. And the openness of it allows improvements to compound. How I publish to Nostr to make Buzz more powerful: - In my last video I had Buzz build an API for our Wasp team tweet dashboard, then hit that API for stats. - This time I flipped it. The app runs a daily job that publishes an event to Nostr, and a Buzz channel subscribes to it. - Every morning our team chat gets the stats: who pulled the most impressions in the last 7 days, what the top tweets were, etc. - Then I tag our agent in the thread like "pull out some recurring themes in our top tweets." It has the whole channel as context and just answers. Why this matters: - To wire my app into our team chat I didn't log into a platform, request API tokens, or install anyone's SDK. I was easily able to get two apps talking through an open protocol instead of an integration. - You're not limited to what a closed-source vendor decides to expose. You can do anything the protocol allows. I love this! - Agents sitting in the channel as members means the data lands where the conversation already is, and they can act on it. Repo for the Nostr app example is on GitHub, link in a comment below.
3:34

What makes jack's Buzz special is it's built on Nostr. But wtf is Nostr? In the video below I explain why it allows Buzz to do things closed platforms can't, plus an example of building a custom solution on top of it for powerful workflows, e.g.: - Everything in Nostr is just a simple event: id, timestamp, kind, tags, content, signature. - You create an event, sign it, push it to relays. Relays are just servers, and anyone can run one. Buzz creates one for you on startup, or you can host your own. - No central server owns any of it and you can easily follow these events, whether they're from a person, agent, bot, whatever. - The events are the source of truth, not any one app's database, so it's easy to build on. And the openness of it allows improvements to compound. How I publish to Nostr to make Buzz more powerful: - In my last video I had Buzz build an API for our Wasp team tweet dashboard, then hit that API for stats. - This time I flipped it. The app runs a daily job that publishes an event to Nostr, and a Buzz channel subscribes to it. - Every morning our team chat gets the stats: who pulled the most impressions in the last 7 days, what the top tweets were, etc. - Then I tag our agent in the thread like "pull out some recurring themes in our top tweets." It has the whole channel as context and just answers. Why this matters: - To wire my app into our team chat I didn't log into a platform, request API tokens, or install anyone's SDK. I was easily able to get two apps talking through an open protocol instead of an integration. - You're not limited to what a closed-source vendor decides to expose. You can do anything the protocol allows. I love this! - Agents sitting in the channel as members means the data lands where the conversation already is, and they can act on it. Repo for the Nostr app example is on GitHub, link in a comment below.

Vinny

92,048 Aufrufe • vor 20 Tagen