AI Benchmarks
Karpathy-Skill + Claude Code,OpenCode: This SIMPLE ONE-FILE SKILL Makes YOUR AI CODER WAY BETTER!
AICodeKing · 2h ago
How Archon V3 catches its own mistakes
DIY Smart Code · 2h ago
AI Video Gets Unbelievably Realistic: See the Details! #shorts
AI Samson · 3h ago
Create Animated Clones: Gender Swap & YouTube Shorts Launch #shorts
AI Samson · 3h ago
Claude just unlocked the SHOGGOTH...
Wes Roth · 5h ago
Claude Mythos, Deepseek v4, HappyHorse, Meta’s new AI, realtime video games: AI NEWS
AI Search · 8h ago
Did Google Just Make The ULTIMATE Edge AI Model? (Gemma 4)
Better Stack · 9h ago
New AI Robot Is Starting to Feel Human (Artificial Humans Are Here)
AI Revolution · 12h ago
This NEW AI Coding Agent is 10x Faster Than Claude Code (100% Free)
Rob The AI Guy · 15h ago
Run S3 on Your Laptop? This Changes Everything (MinIO)
Better Stack · 17h ago
Build This Obsidian System and Ditch Closed Platforms
Eric Michaud · 19h ago
OpenCode + Gemma 4 31b = Full Apps INSTANTLY (100% FREE)
Income stream surfers · 19h ago
NVIDIA’s New AI: The Biggest Leap In Robot Learning Yet
Two Minute Papers · 19h ago
yacht problems
The PrimeTime · 20h ago
4 agents no stepping on each other - Archon V3
DIY Smart Code · 21h ago
Beyond KV-Cache: Test-Time Training & Invariant Latent Topologies for ICL
Discover AI · 22h ago
Hair Drying GPUs
The PrimeTime · 22h ago
Y Combinator CEO Garry Tan open-sourced his personal AI knowledge system
Github Awesome · 23h ago
How Top AI Engineers Structure Their Agents #aicoding #tutorial
DIY Smart Code · 1d ago
Anthropic's Managed Agents Are Different (Here's Why)
Better Stack · 1d ago
Intel Arc B390 runs Gemma 4, Qwen 35B
Intel's Arc B390 integrated GPU, debuting in the Panther Lake "Core Ultra Series 3" processors, marks a breakthrough for local LLM performance on ultraportable laptops. When configured with high-speed 8533 MT/s LPDDR5x RAM, such as in the MSI Prestige 14 AI+ D3M, it provides sufficient memory bandwidth and tensor acceleration to run 30B+ parameter models like Gemma 4 and Qwen 35B at usable inference speeds.
Gemma 4 MoE hits 12 t/s on Lunar Lake
Developers are successfully running Google's new Gemma 4 26B MoE models on Intel Lunar Lake integrated graphics via Vulkan. The hardware's on-package memory architecture delivers highly usable inference speeds without requiring a discrete GPU.
RYS Qwen 3.5 27B FP8-XL tops reasoning benchmark
A developer's comprehensive comparison of local LLMs for complex architectural analysis revealed that RYS Qwen 3.5 27B FP8-XL outperformed much larger models. This community-modified 27B model duplicates its best reasoning layers, providing unparalleled analysis and leading the developer to adopt the technique.
fdash triples vLLM inference speed on Qwen 3.5
A developer benchmarked vLLM's speculative decoding methods on Qwen3.5-27B, finding the new fdash proposer nearly triples generation speed to 125 tokens per second. However, fdash currently lacks compatibility with 8-bit KV cache compression, demanding significantly more VRAM than native MTP alternatives.
M4 Max MacBook benchmarked for OpenCode, Qwen3
A developer evaluates the MacBook M4 Max's performance using local LLMs for agentic coding, sharing benchmarks for the Qwen3-30B-A3B model. The results showcase the high-throughput capabilities of the 40-core GPU when paired with modern Mixture-of-Experts architectures in a local development environment.