235 related articles

Kimi K3, DeepSeek V4, Liquid, and Mistral are all dropping at once. MXFP4 quantization and MoE architecture are pushing the marginal cost of intelligence toward zero. Here's what it means.

A deep dive into OpenAI's Agent sandbox cloud architecture: the security evolution from Fork and containers to gVisor and microVMs, plus copy-on-write snapshots and global orchestration.

Run Qwen3 35B-A3B uncensored locally on just 6GB VRAM using llama.cpp and GGUF quantization. Full deployment guide, code generation tests, and Agent integration walkthrough.

Kova is an open-source Markdown presentation tool for developers. With Git support and content-style separation, it hit 250 GitHub Stars in just three weeks.

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.
4 Alternatives for Running CUDA on Non…
A deep dive into running CUDA on non-NVIDIA hardware (AMD, Intel): comparing ROCm/HIP, ZLUDA, SYCL/oneAPI, and OpenCL across principles, use cases, and limitations.
Building an eGPU for Local LLM on a $1…
Building an eGPU for local LLMs on a $1,000 budget? This guide covers GPU selection, dock costs, RTX 3090 vs 3060 value, and top tools like Ollama and llama.cpp.

Zer0Fit wraps Google's TabFM and TimesFM foundation models as MCP servers, letting users run classification, regression, and time series forecasting through a local LLM chat interface — no ML code required.

A deep dive into a deep learning malaria cell classifier: binary classification, Hugging Face Spaces deployment, and Gradio UI — plus the real limits of medical AI.

Running Gemma 3 12B locally via Ollama and want to build an AI Agent? This guide covers tool calling, n8n/LangChain/CrewAI comparisons, context limits, and more.

With AI tools, beginners can build a home self-hosting server without years of experience. This guide covers hardware selection (HP EliteDesk, ZFS, IP-KVM), Docker deployment, and how AI compresses the technical learning curve.

An in-depth analysis of PostgreSQL's lock scalability bottlenecks under high concurrency: LWLock contention, the cost of the multi-process model, negative scaling, and practical strategies like connection pooling, transaction optimization, and horizontal scaling.
The Circular Financing Trap in Nvidia'…
An in-depth look at the circular financing model among Nvidia, CoreWeave, and Nebius—where suppliers double as investors, capital self-reinforces, and valuation bubbles and systemic risk lurk behind the AI infrastructure boom.

Nvidia's revenue keeps rising, yet its stock has fallen ~15% from its peak. A deep dive into the double-edged sword of compute commoditization—when cloud giants build their own chips, how much of Nvidia's pricing power and moat remains?

Major players are pulling companion agents en masse, exposing the triple dilemma of high consumption, low payment, and poor retention. A deep dive from Character.ai's financials to the "Day 30 death" phenomenon.

E2AM is a Green AI open-source tool that monitors AI model training energy use, carbon emissions, and accuracy-per-joule metrics in just two lines of code. Supports PyTorch and Hugging Face, runs locally with no server needed.

A tweet saying "rest well, old friend" resonated across the tech community. This article explores VPS lifecycle management, best practices for retiring old servers, and the unique emotional bond between engineers and infrastructure.

Meta's new-generation in-house AI chip enters mass production in September, using a modular design to cope with rapid AI evolution. A deep dive into the cost logic, inference optimization, and market impact on NVIDIA.

meshoptimizer is a lightweight C++ open-source library offering vertex cache optimization, overdraw reduction, mesh compression, quantization, and LOD simplification for game engines, WebGL, and glTF pipelines.