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When Will AI Automate AI Research? The Timeline Explained
Why forecasters now think AI could match top AI researchers within a few years, and what that implies for superintelligence timelines.
AI and Math: From Broken Arithmetic to a Millennium Prize Problem
How AI models went from failing basic arithmetic in 2023 to winning IMO gold and solving a Millennium Prize problem by 2025.
DSpine vs DFlash2: Which Speculative Decoding Draft Model Wins?
A hands-on H100 benchmark pits Tencent's DSpine against Z-Lab's DFlash2 on Qwen3.8-27B, comparing real tokens-per-second results.
Edge0-145B Benchmarks: Terminal-Bench, GPQA, HLE, and IFBench Explained
Edge0-145B's NVFP4 build hits 86.5 on Terminal-Bench 2.1. Here's how it stacks up on GPQA-Diamond, HLE, and IFBench, and the NVFP4 vs Q3_K tradeoff.
Edge0-145B: How a 145B-Parameter Model Fits on One RTX 5090
Edge0-145B packs 145 billion parameters into 24GB VRAM using native 4-bit quantization and a sparse MoE design. Here's how it works.
Edge0-145B NVFP4: A 145B Agent Model on One RTX 5090
Edge0-145B is a 145B-parameter sparse MoE model quantized to NVFP4, built to run locally on a single 24GB consumer GPU for agent tasks.
GPT-6 Cyber: Why OpenAI Built an AI It Won't Let You Use
GPT-6 Cyber found hundreds of real exploits and dozens of Firefox bugs, but OpenAI locked it to approved security teams only. Here's why.
Is Google Behind in the AI Coding Agent Race? The Data Says Yes, Sort Of
Google's Gemini 4 Hydrogen, Carbon, and Argon lag Anthropic and OpenAI on coding-agent benchmarks, even as Google wins on price and reach.
Local AI GPU Prices: Is the Hardware Bubble Finally Popping?
High-end GPU prices for local AI are dipping while AMD cards climb. Here's what the latest second-hand market data shows and what it means.
Can Nvidia Keep Its Customers Without Jensen Huang?
Jensen Huang's exit puts Nvidia's CUDA moat, chip financing deals, and political clout to the test. Here's what's actually at risk.
Run Qwen3.8-27B Faster Locally With Speculative Decoding
How to speed up Qwen3.8-27B locally using DSpine or DFlash2 draft models with SGLang, plus VRAM needs and benchmark numbers.
How to Run Zonos 3 Mini TTS Locally on Your Own GPU
Step-by-step look at self-hosting Zyphra's Zonos 3 Mini TTS model locally, covering VRAM needs, architecture, and setup commands.
Software-Only Singularity vs. a Spark: Two Takes on AI Takeoff
What happens once AI automates its own research? A look at the 'software-only singularity' and 'spark' scenarios for AI takeoff speed.
Zonos 3 Mini TTS Review: 43 Languages, Voice Cloning, Hands-On Test
Hands-on testing of Zyphra's Zonos 3 Mini text-to-speech model across a dozen languages, checking voice cloning quality and local GPU requirements.
Claude Fable 5.2's Wildest Demos: Games, Slides, and Videos
Claude Fable 5.2 is generating one-shot 3D games, polished slide decks, and edited videos. Here's a roundup of the best real demos so far.
Claude Fable 5.2: A Real-World Test on a Month-Long Coding Problem
A developer fed Fable 5.2 a month of failed e-ink display attempts. It built a working design on the first try. Here's what that reveals.
Gemini 4 Carbon's Secret Strength: Finding Zero-Days, Proving Signal Secure
Gemini 4 Carbon lags on game dev and raw coding benchmarks, but in cybersecurity work, including zero-day hunts and Signal's protocol, it stands apart.
Gemini 4 Carbon Pricing: API Cost, Plans, and Real Task Economics
Gemini 4 Carbon's intro API pricing, the December price jump, and how its real task cost compares to Claude Opus 5.5 and Sonnet 5.2.
Gemini 4 Hydrogen Review: Coding, Agents, and Benchmarks vs Sonnet
Hands-on review of Gemini 4 Hydrogen testing debugging, sub-agent workflows, vision coding, and benchmarks against Claude Sonnet 4.5 and GPT.
Gemini 4 Hydrogen: Pricing, Context Window, and Access Explained
Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 per million output tokens, with a 1M token window, on AI Studio and the API.
How Are LLMs Trained? Neural Networks and Backpropagation Explained
An Anthropic researcher breaks down how neural networks learn: parameters, weights, loss, and backpropagation, using a simple real estate example.
How to Install Meta's Asterix Design System in React 19
A practical guide to installing Meta's Asterix CLI, themes, and components in React 19 for AI-agent-driven UI building projects.
Jensen Huang Leaves Nvidia: What It Means for AI Chip Supply
Jensen Huang's exit from Nvidia raises real questions about chip supply, Taiwan ties, and how OpenAI and Anthropic plan their compute.
Meta's Asterix: An Open-Source Design System Built for AI Coding Agents
Meta open-sourced Asterix, a 150+ component React design system with a CLI that doubles as documentation for AI coding agents.