China's Cyberspace Administration has released a strategic plan to accelerate IPv6 adoption through 2030, aiming for significant growth in users and network traffic. A key element is the development of "IPv6+", which allows metadata describing content to be embedded into packets. While this offers telcos new ways to manage traffic and billing, experts warn it could enable enhanced state censorship and surveillance by allowing operators to identify and block specific types of data or users via packet metadata.
- Goal of 950 million active IPv6 users by 2030
- Transition toward single-stack network infrastructure
- Risks regarding increased government monitoring and censorship
- Global export of China's specialized networking equipment
- Goal of 950 million active IPv6 users by 2030
- Transition toward single-stack network infrastructure
- Risks regarding increased government monitoring and censorship
- Global export of China's specialized networking equipment
The upcoming XTEINK X4 Pro, also known as the X4P or X4 Pro V2, is an ultra-portable 4.3-inch E-Ink touchscreen e-reader scheduled for announcement on July 21st. Priced at approximately $99 USD, this premium version of the minimalist X4 adds highly requested features such as integrated lighting and a slim 5.98mm profile.
* 220 PPI E-Ink touchscreen with physical page-turn buttons.
* Integrated reading light for low-light environments.
* 16 GB internal memory, Wi-Fi, Bluetooth, and a 1,000 mAh battery.
* Magnetic pogo-pin charging system (USB-C adapter included).
* Support for EPUB and TXT formats via micro SD or cloud sync.
* 220 PPI E-Ink touchscreen with physical page-turn buttons.
* Integrated reading light for low-light environments.
* 16 GB internal memory, Wi-Fi, Bluetooth, and a 1,000 mAh battery.
* Magnetic pogo-pin charging system (USB-C adapter included).
* Support for EPUB and TXT formats via micro SD or cloud sync.
An investigation into how smart TVs collect and transmit user data back to manufacturers. This research examines the extent of telemetry in modern televisions, focusing on privacy implications and methods used for tracking viewer habits through Automatic Content Recognition (ACR).
- The mechanics of background data collection within operating systems
- Privacy risks associated with continuous monitoring
- Differences in tracking practices across various major brands
- The mechanics of background data collection within operating systems
- Privacy risks associated with continuous monitoring
- Differences in tracking practices across various major brands
Building an affordable Home Assistant dashboard does not require expensive hardware. This guide explores several low-cost methods to create functional control panels and information displays using existing or cheap equipment.
Ways to build a budget dashboard include:
* Repurposing old tablets, phones, or even Kindles from your junk drawer using kiosk browsers or the Home Assistant companion app.
* Purchasing second-hand hardware like older tablets or digital photo frames through online marketplaces.
* Using small ESP32 touchscreen modules for low-power desktop dashboards.
* Implementing E-Ink displays for minimal, always-on information such as weather and calendars.
* Jailbreaking used smart displays to bypass manufacturer limitations and run custom software.
Ways to build a budget dashboard include:
* Repurposing old tablets, phones, or even Kindles from your junk drawer using kiosk browsers or the Home Assistant companion app.
* Purchasing second-hand hardware like older tablets or digital photo frames through online marketplaces.
* Using small ESP32 touchscreen modules for low-power desktop dashboards.
* Implementing E-Ink displays for minimal, always-on information such as weather and calendars.
* Jailbreaking used smart displays to bypass manufacturer limitations and run custom software.
ESP-Claw is an AI agent framework by Espressif that enables ESP32 series chips to function as active decision-making centers rather than passive executors. It implements a full intelligence loop involving sensing, reasoning, and execution locally on edge hardware. Through conversational programming via chat interfaces, users can define device behaviors using dynamic Lua loading without traditional coding expertise.
- Event-driven architecture with millisecond response times
- Structured memory management that prioritizes privacy by keeping data off the cloud
- MCP communication support allowing devices to act as both a client and a server
- Broad compatibility with various LLM APIs including OpenAI, Anthropic, Qwen, and DeepSeek
- Support for multiple development boards via web-based flashing or local builds
- Event-driven architecture with millisecond response times
- Structured memory management that prioritizes privacy by keeping data off the cloud
- MCP communication support allowing devices to act as both a client and a server
- Broad compatibility with various LLM APIs including OpenAI, Anthropic, Qwen, and DeepSeek
- Support for multiple development boards via web-based flashing or local builds
A wireless 24GHz mmWave motion tracking system consisting of a standalone radar node that reports detected targets over Wi-Fi to a separate display unit.
Key details:
- Multi-target tracking for up to 3 people within a 7m range
- Live radar-style visualization on an Arduino GIGA Display Shield
- Distance-reactive audio alerts via a passive piezo buzzer
- Battery-powered operation with USB-C recharging and LED level indicators
- Includes 3D-printable enclosure files and full firmware for the XIAO ESP32-S3 and GIGA R1
Key details:
- Multi-target tracking for up to 3 people within a 7m range
- Live radar-style visualization on an Arduino GIGA Display Shield
- Distance-reactive audio alerts via a passive piezo buzzer
- Battery-powered operation with USB-C recharging and LED level indicators
- Includes 3D-printable enclosure files and full firmware for the XIAO ESP32-S3 and GIGA R1
A study by researchers at the Czech Technical University in Prague reveals that 99.23% of authenticated SSH sessions are non-interactive, involving automated clients that run a single command and disconnect. These sessions are primarily used for rapid reconnaissance, gathering system details like operating system version and uptime. While some scanners test for honeypots using mathematical or file-based checks, the study found no evidence of prompt-injection attacks against LLM-based honeypots.
- Automated scanners use single-command sessions for triage.
- LLM-based honeypots must be able to handle functional checks to remain effective.
- Automated scanners use single-command sessions for triage.
- LLM-based honeypots must be able to handle functional checks to remain effective.
JSON serialization and deserialization overhead limits throughput in high-volume machine-to-machine communications. Utilizing binary formats such as Protobuf, MessagePack, Avro, or FlatBuffers significantly reduces payload size and increases processing speed. Optimal architecture employs JSON for human-readable public APIs and binary formats for internal service communication and data pipelines.
* JSON: public-facing readability
* Protobuf: efficient service communication
* MessagePack: schema-less binary encoding
* Avro: scalable event streaming
* FlatBuffers: zero-copy performance
* JSON: public-facing readability
* Protobuf: efficient service communication
* MessagePack: schema-less binary encoding
* Avro: scalable event streaming
* FlatBuffers: zero-copy performance
Botasaurus is an all-in-one web scraping framework designed to help developers build undetectable scrapers that can bypass sophisticated bot detection systems like Cloudflare, Datadome, and BrowserScan. It simplifies the development process by providing high-level abstractions for browser automation, humane HTTP requests, and general data tasks. Key features include human-like mouse movements, browser-based fetch requests to significantly reduce proxy costs, and built-in utilities for caching, sitemap processing, and data cleaning.
Main topics:
- Bypassing Cloudflare WAF and Turnstile CAPTCHAs.
- Creating UI-based scrapers for non-technical end-users.
- Converting scrapers into standalone desktop applications.
- Scaling scraping infrastructure using Docker and Kubernetes.
- Cost-efficient proxy management and bandwidth reduction strategies.
Main topics:
- Bypassing Cloudflare WAF and Turnstile CAPTCHAs.
- Creating UI-based scrapers for non-technical end-users.
- Converting scrapers into standalone desktop applications.
- Scaling scraping infrastructure using Docker and Kubernetes.
- Cost-efficient proxy management and bandwidth reduction strategies.
This project is an ESP32-based ADSB tracker that provides a real-time flight radar display similar to FlightRadar24 on a small round TFT screen. It displays aircraft positions, trails, and local airport markers using data from sources like ADSB.lol or OpenSky. The system includes advanced visual features such as auto zoom cycling, decorative day/night sky layers with sun and moon calculations based on solar math, and optional GPS support for localized tracking.
- ESP32 DevKit V1 compatibility with Waveshare 1.28 inch GC9A01 round TFT display
- WiFiManager integration for easy network configuration
- Real-time aircraft trails and deconfliction to reduce visual clutter near airports
- Dynamic zoom cycling from 25 km to 250 km range
- Local solar math for sun position and moon phase rendering
- Optional TinyGPSPlus support for live location coordinates
- ESP32 DevKit V1 compatibility with Waveshare 1.28 inch GC9A01 round TFT display
- WiFiManager integration for easy network configuration
- Real-time aircraft trails and deconfliction to reduce visual clutter near airports
- Dynamic zoom cycling from 25 km to 250 km range
- Local solar math for sun position and moon phase rendering
- Optional TinyGPSPlus support for live location coordinates
