70 related articles

A Reddit user found Gemini features in Gmail without a subscription, only to lose access a day later. This article explains Google's gradual rollout strategy and AI feature deployment logic.

Analyzing real LLM inference costs: from B200 GPU compute gains, vLLM framework optimization to MTP multi-token prediction, explaining why serving costs are widely overestimated.

Moonshot AI launches Kimi K3 with 2.8 trillion parameters and 1M token context. Google delays Gemini 3.5 Pro, AI coding tools upgrade collectively as competition shifts to coding and Agent capabilities.

In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.

Deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on RTX 5080. Exploring its architecture, Metal porting plans, and applications in VTuber, AR/VR, and sports analysis.

A deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on an RTX 5080.

Deep analysis of AMD's CDNA5 architecture covering Chiplet packaging upgrades, HBM memory evolution, and low-precision compute optimization, examining how AMD challenges NVIDIA's AI chip dominance.

Deep analysis of circular financing in NVIDIA's $750B partnership deals, examining real AI compute demand, self-reinforcing valuations, and key investor signals.

NVIDIA CEO Jensen Huang defends open-source AI, calls distillation legitimate learning, praises DeepSeek and Kimi, and co-signs open letter with 20+ companies while OpenAI and Google stay silent.

NVIDIA CEO Jensen Huang says markets have twice misjudged the impact of DeepSeek and Kimi, arguing Chinese open-source models boost rather than reduce overall AI compute demand.

Tech giants are frantically investing in AI compute infrastructure driven by FOMO. This deep dive analyzes the logic, capital scale, energy challenges, and industry reshaping of the compute arms race.

Tech giants are pouring billions into AI computing infrastructure driven by FOMO. This deep dive analyzes the arms race logic, capital scale, energy challenges, and industry reshaping.

China's Commerce Ministry weighs restricting overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek, while DeepSeek develops its own inference chip amid a US-China AI export standoff.

China's Ministry of Commerce is weighing restrictions on overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek. Meanwhile, DeepSeek is quietly building its own inference chip and raising ~$7B in first external funding.

How a developer ran 4,000 multi-seed abliteration trials to build a 100% HarmBench-compliant uncensored text encoder for Krea 2's Qwen3-VL-4B, with five quantization formats and ComfyUI deployment guide.
Handwritten C/CUDA Inference Engine: P…
A deep dive into a handwritten C/CUDA inference engine for Qwen 35B on RTX 5090 (Blackwell), covering quantization, FlashAttention kernels, and memory optimization.

OpenAI engineers have found ways to cut inference costs by over 50%. Combined with Anthropic's research AI tools and an $800M chip startup, the AI race is shifting from capability to cost efficiency.

Unpacking the technical truth behind Anthropic's account bans: hidden timezone and proxy detection logic sparks privacy debate. Plus Claude Sonnet 5, Linux support, and new releases from OpenAI, NVIDIA, and Google DeepMind.

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

OpenAI proposes a 5% stake to the Trump administration worth ~$43B. From $13B revenue and $21B losses to Chinese models doubling market share, Scott Galloway exposes AI's demand crisis and crony capitalism.