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How to set it up: 1. Get a Lightning/USB-C to Ethernet adapter (I'm also using a USB-A to USB-C converter but you can skip that) 2. Plug an Ethernet cable from your router into the adapter 3. Plug the adapter into your iPhone 4. Turn ON Airplane Mode 5.... show more

Rusty ⚡️: Solar Powered ☀️

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25,708 views • 4 months ago •via X (Twitter)

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Looking for the best label design for the USB port on Flipper One USB-C1 is the main USB port on Flipper One. It can do all of the following: • Power IN/OUT — it can charge Flipper One and power other devices. • Video OUT — it supports DisplayPort Alt Mode over USB-C so you can connect it to an external monitor. • USB Host + Device — it can emulate USB devices such as Ethernet adapters, mass-storage devices, or serial ports, while also acting as a USB host for connected peripherals. The challenge is to communicate all of this with a single label on the device itself, so users do not have to read the manual. We are trying to make the labeling as clear and compact as possible. This video walks through the constraints we faced, the options we considered, and the trade-offs behind each one. Watch it and let us know what you think. Which label makes the most sense to you? Do you have a better idea? Share it in this GitHub issue:

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xfinity Internet service launches xfinity wifi motion and it’s exactly what it sounds like Your WiFi will now be tracking you in your home and even discloses your movement to third parties “It tracks movement inside your home using nothing but your WiFi signals. No cameras, no sensors, just your router blasting invisible waves and reading how they bounce off your body. That's not WI fi anymore. That's a radar.” Comcast's terms of service specify that they'll use their WiFi Motion service to tell the police or any other third party about your movements at home “You walk across the room, it knows you open a door, it knows you sit still too long, it knows it's a motion detection through your Internet. And the craziest part? It's already built into the router, just waiting to be activated. Most people won't even realize they've installed live surveillance in their own home. Xfinity calls it a feature, but this isn't smart tech. It's a silent wireless tracking system. And once your router can map your movements, you're not just connected, you're monitored. Constantly. This is how the surveillance state gets in. Not with cameras, but with conveniences. Not with force, but with features. And by the time people figure it out, the cage is already built.”

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while we don’t know for sure if the iPhone mirroring feature will come to the Apple Vision Pro, I sure hope it does. for now, it's available on Mac—i tested it and it's amazing! here’s how you can experience it on your Mac today: 1. make sure both your iPhone and Mac are running the latest beta versions of iOS 18 and macOS Sequoia. 2. position your iPhone near your Mac. 3. an icon titled "iPhone Mirroring" will appear on your Mac's Dock. 4. select the "Continue" button on your Mac. 5. unlock your iPhone when prompted. 6. on your Mac, click the "Get Started" button. 7. with your iPhone locked, open the "iPhone Mirroring" app on your Mac. this feature is a game-changer, and i can’t wait for the day it hopefully comes to the Vision Pro!

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He rented an Airbnb and discovered something strange an extra room attached to the house with boarded-up windows, but no door connecting it from the inside. It’s the kind of detail that instantly makes you wonder what’s behind it. Places like that can turn a normal stay into a mystery you can’t stop thinking about. What would you do if you found a sealed-off room like that in your Airbnb? Try to investigate or just ignore it?

He rented an Airbnb and discovered something strange an extra room attached to the house with boarded-up windows, but no door connecting it from the inside. It’s the kind of detail that instantly makes you wonder what’s behind it. Places like that can turn a normal stay into a mystery you can’t stop thinking about. What would you do if you found a sealed-off room like that in your Airbnb? Try to investigate or just ignore it?

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$QVAC SDK will support in 0.9.0 (gonna be release in ~10 days) LoRA fine-tuning directly on-device, letting developers customize LLMs with their own data without sending anything to the cloud. You just load a base model, point it at your training dataset, and get a lightweight LoRA adapter back — all running locally. The fine-tuned model can then be used for inference immediately, with no extra setup. Why it matters: LoRA (Low-Rank Adaptation) fine-tuning lets you specialize a general-purpose language model for your specific use case — like matching a brand's tone, mastering domain terminology, or following a particular output format — using a fraction of the compute a full fine-tune would require. QVAC handles the entire workflow locally: dataset preparation, training with configurable hyperparameters, checkpoint saving, and seamless inference with the resulting adapter. Your data never leaves the device. The developer experience: Fine-tuning with QVAC is as simple as calling "sdk.finetune()" with your dataset and a few hyperparameters. Training runs entirely on your local hardware, produces a compact LoRA adapter file, and supports pause/resume so you can stop a job and pick it back up without losing progress. The result plugs straight into QVAC's inference pipeline — no model conversion, no deployment step, just immediate local completions with your fine-tuned model.$

QVAC SDK will support in 0.9.0 (gonna be release in ~10 days) LoRA fine-tuning directly on-device, letting developers customize LLMs with their own data without sending anything to the cloud. You just load a base model, point it at your training dataset, and get a lightweight LoRA adapter back — all running locally. The fine-tuned model can then be used for inference immediately, with no extra setup. Why it matters: LoRA (Low-Rank Adaptation) fine-tuning lets you specialize a general-purpose language model for your specific use case — like matching a brand's tone, mastering domain terminology, or following a particular output format — using a fraction of the compute a full fine-tune would require. QVAC handles the entire workflow locally: dataset preparation, training with configurable hyperparameters, checkpoint saving, and seamless inference with the resulting adapter. Your data never leaves the device. The developer experience: Fine-tuning with QVAC is as simple as calling "sdk.finetune()" with your dataset and a few hyperparameters. Training runs entirely on your local hardware, produces a compact LoRA adapter file, and supports pause/resume so you can stop a job and pick it back up without losing progress. The result plugs straight into QVAC's inference pipeline — no model conversion, no deployment step, just immediate local completions with your fine-tuned model.

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How to cheat when under pressure late on in a Premier League match. 1 - get your keeper to clatter into you. 2 - stay down until the ref blows. 3 - get up before the physio comes on. 4 - the ball is given back to your keeper.

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A⭐️D🌳A⭐️M

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Bluetooth devices can be weaponized to remotely listen to your conversations within a few minutes. This vulnerability exists in many types and a lot of tests are still being conducted to verify them. Should you see your phone trying to forcibly connect to a bluetooth device you do not know, deny and turn it off for a few minutes. An attacker could just be forcing you into a mode to get unauthorized access to whatever you are saying. BeWare and BeAware

Bluetooth devices can be weaponized to remotely listen to your conversations within a few minutes. This vulnerability exists in many types and a lot of tests are still being conducted to verify them. Should you see your phone trying to forcibly connect to a bluetooth device you do not know, deny and turn it off for a few minutes. An attacker could just be forcing you into a mode to get unauthorized access to whatever you are saying. BeWare and BeAware

Bright Mawudor,PhD

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