For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly.
Two critical PHP flaws, found with AI help, led the NSA and Japan to urge patching or taking sites offline. Here is what happened and who is exposed.
DeepSeek Recipe keeps user-typed control markers as plain text, blocking a classic injection trick. Here is how the failure works and how to test it yourself.
Temperature 0 isn't always deterministic. Batch composition changes GPU math and flips tokens. Here's why, and when to use batch-invariant inference.
DeepSeek open-sourced its DeepInfra inference engine. See how prefill/decode split, expert balancing and speculative decoding work, and what you can run.
Stepful raised a $55M Series C led by Oak HC/FT. See how its AI tutors, contracts with 39 health systems, and 5-month programs train healthcare workers.
Five practical prompts for Gemini 4 Argon: game cloning, API vs subscription research, a 3D-printable STL, scheduling logic and a physics sandbox.
Sam Altman on OpenAI's math proofs, a disease-treatment candidate within years, FDA limits, and why coders got busier instead of obsolete.
Buying a Mac mini to run AI agents all day? Here is how to size RAM and storage, what local models change, and why a bigger machine won't fix agent bloat.
Panda Code is free and runs on your existing Claude, Codex, Kimi or GLM plans. See how it tracks 5-hour and weekly limits, resumes at reset and trims tokens.
Panda Code is a free, open-source desktop app that runs Claude Code, Codex, Kimi and GLM agents in one window. Install steps and key features.
Ornith-1.5-122B posts 76.9 on SWE-bench Pro and 84.5 on Verified. Here is how it compares with Qwen3.8, Nemotron 3.5 Super VL, DeepSeek-V4-Flash and Beam.
A creator's tests put Panda Code at about 0.3 seconds to open and 130 to 160MB idle, versus about 3 seconds and 700MB for T3 Code. Here's why.
Mercury 3 costs $0.10 input and $0.35 output per million tokens at launch, with 90% off cached input. See where to access it and which workloads fit.
Tencent's Hy-Memory-30B-A3B memory writer averages 55.49 across four harnesses vs Claude Opus 5 at 54.62. Per-harness and per-benchmark scores inside.
Spark-X2.6-4B claims best-in-class small-model results and efficiency on par with Qwen3.5-4B and Gemma-E4B. What the card says and what it leaves out.
NVIDIA Dory1.0-4B scores 50.3 to 61.8 on SWE-bench Verified from 1 to 4 loops. See how it compares with Qwen3.5-4B, Qwen3.5-9B and Gemma 4.
Run Ornith-1.5-122B locally: llama.cpp GGUF setup, VRAM and context trade-offs, runtime versions to check, and how to handle thinking-mode output.
Mercury 3 is a diffusion LLM that hits 1,068 tokens/s. See how it differs from autoregressive models and how it compares with Haiku 5.5 and GPT-6 Luna.
DeepSeek-V4.1-Flash-1017 gains 11.1 points on Terminal-Bench 4.0 over V4.1-Flash. See how it stacks up against Opus 5, GPT-5.6 Sol, GLM-5.3 and K3.
Serve Tencent's Hy-Memory-30B-A3B with vLLM as hy-memory, call it via the OpenAI-compatible API, and use it as the write path in Mem0 or MemOS.
Run Spark-X2.6-4B, an Apache 2.0 4B on-device agent model with 1M-token context, via Ollama, llama.cpp, LM Studio, MLX, vLLM or SGLang.
Run NVIDIA Dory1.0-4B locally with vLLM or llama.cpp on Apple Silicon, choose 1, 2 or 4 loops, and cut KV cache memory with last-loop caching.
Find what Codex, Claude Code and local models leave running on your Mac, read memory pressure and storage, then clean up and cap agent jobs.
How to start a one-person AI services business with Claude Code: what to build, real project earnings, the sales funnel and the offer formula.