ABOUT THIS FEED
MarkTechPost is a technology news site specializing in AI, machine learning, robotics, and digital transformation. Its RSS feed focuses heavily on research summaries, industry trends, and applications of artificial intelligence across multiple sectors. The platform is known for distilling complex academic research into more accessible news-style articles, making it easier for non-specialists to stay informed. Readers will find coverage of topics like computer vision, natural language processing, reinforcement learning, and AI ethics, as well as insights into how startups and large corporations are leveraging AI. With frequent updates, MarkTechPost offers a balance between technical depth and business relevance, serving both researchers and decision-makers. The feed is especially useful for those who want a digestible mix of academic progress and industry applications, highlighting the global pace of AI innovation and commercialization.
- xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch
Grok Build's in-terminal marketplace bundles skills, agents, hooks, and MCP servers, with commit-SHA verification on every remote plugin. The post xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch appeared first on MarkTechPost.
- Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow
The Hermes Agent dashboard now builds complete agent profiles in one flow, replacing multi-step CLI setup for users. The post Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow appeared first on MarkTechPost.
- Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for Agentic Coding
Cohere's first developer coding model is a 30B mixture-of-experts running on a single H100 with 256K context length. The post Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for Agentic Coding appeared first on MarkTechPost.
- A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and Baseline Comparison
We implement an instrumented workflow for Microsoft SkillOpt end to end. We set up the repository, connect OpenAI-compatible model access, and configure the optimizer and target models. We evaluate the original seed skill as a baseline, then run a real optimization loop with rollout, reflection, aggregation, selection, updating, and validation-based gating. We inspect training history, visualize accuracy, edit-budget behavior, and token usage, then compare the evolved skill against the baseline. The post A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and Baseline Comparison appeared first on MarkTechPost.
- Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up to 4x Faster Generation
DiffusionGemma is Google DeepMind's experimental 26B open model using text diffusion for up to 4x faster generation on GPUs. The post Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up to 4x Faster Generation appeared first on MarkTechPost.
- Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared
Software development has changed. Engineers no longer type most code by hand. They describe intent, and AI agents do the work. Modern tools plan tasks, edit across files, run tests, and open pull requests. Many now ship to production with limited supervision. No single tool fits every need. This guide covers the AI coding agents The post Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared appeared first on MarkTechPost.
- Anthropic Releases Claude Fable 5 and Claude Mythos 5: Same Underlying Model, Different Safeguards, New Mythos-Class Tier
Claude Fable 5 ships generally available with classifiers; Mythos 5 stays limited, cyber safeguards lifted, through Project Glasswing. The post Anthropic Releases Claude Fable 5 and Claude Mythos 5: Same Underlying Model, Different Safeguards, New Mythos-Class Tier appeared first on MarkTechPost.
- Building a Code Dataset Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with Streaming, Pandas, and tiktoken
In this tutorial, we work with NVIDIA's Nemotron-Pretraining-Code-v3 dataset as a large-scale metadata index for code pretraining research. We stream the dataset instead of downloading it, inspect its schema, and build a manageable sample. We analyze languages, file extensions, repository frequency, and directory depth to understand the index structure. We then reconstruct raw GitHub URLs, fetch real source files, and estimate the token scale of the fetched code. The post Building a Code Dataset Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with Streaming, Pandas, and tiktoken appeared first on MarkTechPost.
- Google Releases Gemini 3.5 Live Translate, a Streaming Speech-to-Speech Audio Model Covering 70+ Languages Across Meet, Translate, and the Live API
Gemini 3.5 Live Translate streams speech-to-speech translation across 70+ languages. It generates audio continuously, staying a few seconds behind the speaker. The model reaches developers via the Gemini Live API, plus Google Meet and the Translate app. The post Google Releases Gemini 3.5 Live Translate, a Streaming Speech-to-Speech Audio Model Covering 70+ Languages Across Meet, Translate, and the Live API appeared first on MarkTechPost.
- NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab
In this tutorial, we implement a hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for CUDA-style kernels in Python. We prepare a Colab-friendly environment and check GPU, driver, CUDA, and cuTile availability before running kernels. We then build tiled vector addition, matrix addition, and matrix multiplication, keeping a PyTorch fallback so the notebook stays executable. We validate correctness against PyTorch and benchmark median runtimes at every stage. The post NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab appeared first on MarkTechPost.