A new open-source tool called Model Genome Korea can determine whether a Korean large language model (LLM) or vision-language model (VLM) was trained from scratch or derived from an open-weight base m…
Claude 3.5 Sonnet outperformed GPT-4o, Gemini 1.5 Pro, and DeepSeek-V3 in Spring Boot configuration and code generation tests on a legacy Java codebase, correctly identifying transaction boundaries an…
AI developers are shifting from manual prompt-based workflows to building Model Context Protocol (MCP) servers that connect AI models directly to local databases and file systems, enabling automated c…
In a benchmark comparing AI models on designing a Unix-like file system, Claude 3.5 Sonnet outperformed GPT-4o by providing precise block mapping and compile-ready C code with bounds checking, while G…
ByteDance is training a single AI model with 10 trillion parameters, a scale that requires extreme 3D parallelism and massive high-quality data, according to a report. The move signals an ongoing race…
DeepSeek-V3, an open-weight large language model from Chinese AI company DeepSeek, has leaked and is matching or beating top-tier proprietary US models in coding and math benchmarks, according to a te…
Cursor, the AI coding company, open-sourced Mixture-of-Kittens (MoK), a deterministic MoE training megakernel for NVL72s that fuses communication and computation into a single kernel, achieving a 1.41…
The EU AI Act's transparency rules, effective August 2, impose fines up to €15 million for violations, forcing East Asian tech giants like Sony and Fujitsu to redesign products or risk losing European…
AirLLM, an open-source inference library, claims to run a 70B-parameter large language model on a 4GB GPU without quantization, distillation, or pruning. The claim is technically true, achieved by loa…
AirLLM, an Apache-2.0 Python library, enables running large language models like Llama 3.1 405B on 8GB of VRAM and DeepSeek-V3 671B on ~12GB without quantization, by streaming one layer or MoE expert …
AirLLM, an open-source inference library, now supports running the 2.8T-parameter Kimi K3 model on a single 4GB GPU, using only 3.72GB of VRAM on an RTX 6000 Ada, by streaming one expert at a time for…
Huawei released openPangu 2.0 Pro, a Mixture-of-Experts language model with approximately 505 billion total parameters and 18 billion activated per token, trained entirely on its Ascend AI processors.…
DeepSeek, a free AI model from Chinese company DeepSeek, and ChatGPT, OpenAI's GPT-5-powered assistant with a $20/month Plus plan, compete for small business users in 2026. DeepSeek offers unlimited f…
A leak at DeepSeek exposed proprietary engineering pipelines, including data curation, RL alignment recipes, and system configurations, rather than model weights. The incident highlights that the true…
Claude 3.5 Sonnet is the current gold standard for agentic coding benchmarks, with superior ability to parse stack traces and fix bugs, while GPT-4o often gets stuck in looping behavior and DeepSeek-V…
Token dropping in mixture-of-experts (MoE) layers occurs when a capacity factor limits each expert's buffer, causing excess tokens to bypass the expert MLP and degrade model quality under production l…
A practical guide recommends hardening AI-generated code for legacy systems by using a multi-model verification loop, cross-model validation, and isolated test generation. The guide suggests using Cla…
Claude 3.5 Sonnet is generally superior for complex architectural planning and nuanced refactoring, while DeepSeek-V3 offers industry-leading performance in raw logic and competitive benchmarks at a s…
A guide for beginners on prompt engineering outlines techniques such as role prompting, few-shot prompting, and output format control to improve AI responses, noting that GPT-4o excels at few-shot pro…
A new benchmark suite called JAXBench, comprising 50 JAX workloads for AI-generated kernel optimization on Google Cloud TPUs, shows that target-specific documentation context matters more than model s…