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
A researcher has discovered that an SDK embedded in free mobile and smart TV apps by Bright Data allows the company to use consumer devices as residential proxies. These devices relay web-scraping traffic, which is highly valued by the AI industry because it bypasses anti-bot defenses designed to block datacenter IPs. The research highlights how these connections can persist in the background, sometimes even bypassing VPNs on iOS devices.
Key points:
- Bright Data SDK turns consumer electronics into web-scraping exit nodes.
- Residential IP addresses are preferred by AI companies for data harvesting.
- Technical findings show a lack of authentication and potential bypasses of standard security tools/VPNs.
- Opt-in screens may underrepresent the actual bandwidth usage (up to 200GB per month).
- Mitigation involves blocking specific Bright Data domains at the router level using Pi-hole or NextDNS.
Key points:
- Bright Data SDK turns consumer electronics into web-scraping exit nodes.
- Residential IP addresses are preferred by AI companies for data harvesting.
- Technical findings show a lack of authentication and potential bypasses of standard security tools/VPNs.
- Opt-in screens may underrepresent the actual bandwidth usage (up to 200GB per month).
- Mitigation involves blocking specific Bright Data domains at the router level using Pi-hole or NextDNS.
Secluso is an open-source DIY home security camera system built around the Raspberry Pi Zero 2 W. It focuses on privacy by using true end-to-end encryption (E2EE) via Messaging Layer Security (MLS), ensuring that even untrusted relays cannot decrypt video feeds. The system features on-device AI for detecting humans, pets, and vehicles. To enhance security, the core software is written in Rust to prevent memory-related bugs and includes post-quantum encryption to protect data against future threats.
- Raspberry Pi Zero 2W based hardware architecture
- End-to-end encryption using MLS (RFC 9420)
- On-device AI for human, pet, and vehicle detection
- Memory-safe software core written in Rust
- Post-quantum encryption support
- Minimal Yocto-based Secluso OS
- Support for self-hosted relays or official beta services
- Raspberry Pi Zero 2W based hardware architecture
- End-to-end encryption using MLS (RFC 9420)
- On-device AI for human, pet, and vehicle detection
- Memory-safe software core written in Rust
- Post-quantum encryption support
- Minimal Yocto-based Secluso OS
- Support for self-hosted relays or official beta services
An overview of ESPConnect, a free self-hosted web utility used to manage and flash ESP32 microcontrollers. The tool provides detailed hardware profiling for various MCU models, allows for advanced partition management, and enables flashing firmware or creating system backups through filesystem access. It also includes essential debugging features like an NVS Inspector and a Serial Monitor.
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
An exploration of high-performing small language models with under 7 billion parameters that can run locally on consumer hardware like laptops and smartphones. The article explains how advancements in training data quality, model distillation from larger frontier models, and architectural improvements like Mixture-of-Experts have enabled these compact models to compete with much larger versions on reasoning benchmarks. It provides a curated guide of top available models on Hugging Face, detailing their specific strengths, benchmark performance, and providing Python code for implementation.
Key models covered:
- Qwen3.5-4B for multilingual tasks and long context windows
- Microsoft Phi-4-mini-instruct for reasoning-heavy English workloads
- Google Gemma 3 4B IT for coding and mathematics
- Google Gemma 3n E4B for efficient mobile and on-device deployment
- Meta Llama 3.2 3B Instruct for tool calling and community support
- SmolLM3-3B for research transparency and open-source projects
- DeepSeek-R1-Distill-Qwen-1.5B for lightweight reasoning on edge devices
- Qwen3-0.6B for ultra-constrained hardware and text classification
Key models covered:
- Qwen3.5-4B for multilingual tasks and long context windows
- Microsoft Phi-4-mini-instruct for reasoning-heavy English workloads
- Google Gemma 3 4B IT for coding and mathematics
- Google Gemma 3n E4B for efficient mobile and on-device deployment
- Meta Llama 3.2 3B Instruct for tool calling and community support
- SmolLM3-3B for research transparency and open-source projects
- DeepSeek-R1-Distill-Qwen-1.5B for lightweight reasoning on edge devices
- Qwen3-0.6B for ultra-constrained hardware and text classification
Anthropic has released an open-source project called Claude Desktop Buddy that allows ESP32-S3 hardware to act as a physical companion for the Claude desktop application. By utilizing a new Bluetooth Low Energy (BLE) API, these small devices can provide real-time updates on AI agent activity and allow users to approve or deny permission requests directly through physical buttons.
Key features and details:
- Connects via BLE to macOS and Windows desktop apps for fast, local interaction
- Features Tamagotchi-style animations that reflect the AI's status, such as sleep, busy, or attention modes
- Supports custom character skins using user-provided GIF packs
- Optimized for ESP32-S3 boards like the M5StickC Plus and M5Stack Cardputer
- Developed using the Arduino framework and PlatformIO
Key features and details:
- Connects via BLE to macOS and Windows desktop apps for fast, local interaction
- Features Tamagotchi-style animations that reflect the AI's status, such as sleep, busy, or attention modes
- Supports custom character skins using user-provided GIF packs
- Optimized for ESP32-S3 boards like the M5StickC Plus and M5Stack Cardputer
- Developed using the Arduino framework and PlatformIO
