151 related articles

Python tops the language rankings again, but AI teams are quietly swapping its internals for Rust and Mojo. A look at Python's speed and GIL pains, the two-language problem, and the rise of Rust tooling and Mojo on GPUs.

DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?

DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap—from chain-of-thought to embodied intelligence—under a 20,000-GPU constraint, using the TileLang compiler to break domestic substitution challenges while API cash flow backs AGI exploration.

An analysis of DeepSeek's Liang Wenfeng 4-hour investor meeting: restrained pricing with 10-month payback, why open source doesn't hurt revenue, the Agent–continual learning–self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

Decoding DeepSeek's Liang Wenfeng 4-hour investor Q&A: 10-month-payback restrained pricing, why open source doesn't hurt revenue, the Agent-continual learning-self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.

Alibaba open-sources a 2.4 trillion parameter Qwen model and launches the Qwen Token Plan. Chinese models surge, Kimi K3 tops global rankings, and China's AI is reshaping the global competitive landscape.

Why is OpenAI pushing its most powerful model to 750 tokens/s? A deep dive into GPU vs. Cerebras chip cost trade-offs, the $10B compute deal, and how speed, intelligence, and token efficiency are reshaping the AI landscape.
transcribe.cpp: A Unified Speech Recog…
transcribe.cpp is an open-source ggml-based speech recognition engine supporting 16+ model families in a single C++ codebase — lightweight, cross-platform, and quantization-ready for local STT.

Apple's 1-bit compression fits 27B models on iPhone, Meta builds custom chip Iris, China's 100K-GPU cluster goes live, Samsung enters AI PC — a deep dive into AI's new full-spectrum competition.

Leaked financials show OpenAI's -122% operating margin — losing money on every sale. MIT research reveals 95% of enterprise AI investments yield zero returns. A deep dive into the AI cost paradox.

A non-programmer tests AMD Ryzen AI Halo by deploying local AI models to tackle a real dev task. After testing Ollama and Qwen3, the verdict: AI amplifies developers, it doesn't replace them.

Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.

OpenAI loses $26B annually with a -122% operating margin — selling more means losing more. A deep dive into the AI cost paradox threatening the entire industry.

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.

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.