43 related articles

OpenAI GPT-5.6 expands its preview, xAI Grok 4.5 opens access at the same time, Meta releases the Agent-based Muse Image model and Muse Video model, while Apple and DeepSeek launch in-house AI inference chip programs. A quick look at the week's five biggest AI stories.

GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.

Exposing the phishing trap behind the "free Gemini Pro membership" tutorials circulating on video platforms: they lure users into handing over account passwords and backup recovery codes, leading to account theft. This article breaks down the process technically and teaches you to spot three danger signs.

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

Researchers found a hidden authentication backdoor in multiple Tenda router firmware versions, letting attackers bypass passwords to gain admin access. Learn the technical principles, impact, and protection tips.

An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.

A plain-language guide to how Python web scrapers work: from HTTP requests and responses, HTML tag parsing, to the complete three-step data scraping workflow, with a focus on the three legal red lines and compliance advice.

Taiganet.com is simulating the WS4000 industrial control system. This niche project preserves the engineering wisdom from before the PLC and SCADA era. A deep look at the challenges of ICS simulators, knowledge preservation, and reverse engineering in OT security research.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.

Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.
Binary Coverage Analysis Without Sourc…
A deep dive into binary coverage collection without source code, covering INT3 breakpoint traps, page protection tricks, Intel PT hardware tracing, and AFL bitmaps for reverse engineering and fuzzing.

The Yongnuo YN433 II is a $399 M4/3 streaming camera with a Sony sensor and all-metal body, but its Android implementation is disastrous with broken manual controls and erratic white balance.

European security firm Paradigm Shift discloses an unpatchable hardware-level vulnerability in Apple chips affecting older iPhones, with major implications for jailbreaking and device security.

Deep dive into how Wayfair uses OpenAI GPT models for catalog enrichment across 40M SKUs, covering technical implementation, AI solutions for non-standardized product classification, and implications for e-commerce.

A developer used AI coding tool Fable to port Return to Castle Wolfenstein to the web browser in just two hours with full multiplayer, revealing AI's power in system-level engineering.

Google and UCSD explore building cloud clusters from old phones, leveraging ARM chip efficiency to cut e-waste and data center carbon footprints.
How the Large Hadron Collider Works: T…
A deep dive into how the Large Hadron Collider works—from E=mc² energy-matter conversion to multi-stage acceleration and a three-level trigger system filtering one billion collisions per second.
TutorialsLearn how AI combined with IDA MCP automates APP reverse engineering—from locating encrypted parameters to AI-generated Python code, dramatically lowering the barrier to security research.