Rami Krispin

1/5 Meta is back in the AI model API game. Muse Spark 1.1 is a new multimodal reasoning model for agentic tasks, now available through the Meta Model API public preview. ai.meta.com/blog/introdu...

Introducing Muse Spark 1.1 ai.meta.com

Tau is a nice open-source project from Hugging Face for learning how coding agents are built. It separates the stack into tau_ai, tau_agent, and tau_coding: provider stream, reusable agent harness, and terminal coding app. Repo: github.com/huggingface/... #ai #aiagents #openso…

GitHub - huggingface/tau: a minimalist agent that teaches you to create coding agents github.com

MiniMax-M3 is a open-weighted native multimodal model with 1M context, ~428B total and ~23B active parameters. It handles text, images, and video, uses MiniMax Sparse Attention, and supports local serving with SGLang, vLLM, and Transformers. Repo: github.com/MiniMax-AI/M... #a…

GitHub - MiniMax-AI/MiniMax-M3 github.com

OpenScience is a new open-source AI workbench for scientific research: browser workspace + research agents that can read literature, write/run code, run experiments, query scientific databases, and write up results. github.com/synthetic-sc... #ai #opensource

GitHub - synthetic-sciences/openscience: The open-source AI workbench for scientific research github.com

DiffusionGemma — Google's new open text-diffusion model. 26B MoE that drafts 256 tokens in parallel instead of one at a time. Up to 4x faster on local GPUs. Bi-directional attention, Apache 2.0. huggingface.co/google/diffu... #gemma #ai

google/diffusiongemma-26B-A4B-it · Hugging Face huggingface.co

Here is how you can run GLM 5.2 locally, if you simply have a machine with 256GB to 810GB RAM 😅 unsloth.ai/docs/models/... #ai #llm

GLM-5.2 - How to Run Locally | Unsloth Documentation unsloth.ai

This workshop from OpenAI's Jason Liu walks through a practical Codex workflow. It covers long-running threads, memory, skills/plugins, computer use, automations, verified goals, and reasoning levels. 📽️: www.youtube.com/watch?v=il1c... #ai

Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codex youtube.com

Issue 98 is out! This week’s agenda: 🔹 Open Source of the Week - the AI-Lake project 🔹 New learning resources 🔹 Book of the week - Designing Data-Intensive Applications, 2nd Edition by Martin Kleppmann and Chris Riccomini ramikrispin.substack.com/p/the-ai-lak... #ai #datascien…

The AI-Lake Project, Codex for Beginners | Issue 98 ramikrispin.substack.com

The following tutorial by NeuralNine reviews Pi as a coding agent, compares it with OpenCode, and considers where it fits in local workflows using open-weight models. It is useful for developers evaluating coding-agent options. 📽️: www.youtube.com/watch?v=Xhli...

Pi Coding Agent is now my absolute favorite... youtube.com

Issue 97 is out! This week's agenda: 🔹 Open Source of the Week - skforecast-ai, forecasting AI agent 🔹 New learning resources 🔹 Book of the week - Practical LLM Evaluation for Production Systems ramikrispin.substack.com/p/the-skfore... #ai #datascience #forecasting

The skforecast-ai Project, Practical LLM Evaluation for Production Systems | Issue 97 ramikrispin.substack.com

Review of the new model - Kimi K3 Moonshot's 2.8T-parameter open-weights MoE model, inside Hermes Agent. The video covers architecture, long-horizon autonomy, benchmarks, coding, Three.js generation, and sub-agent orchestration. www.youtube.com/watch?v=Oqk2... #ai

First Look at Kimi K3: The Biggest, Smartest Open Weights Model Ever? youtube.com

🧵 1/4 Handy — open-source, offline speech-to-text 🎤 Press a shortcut, speak, and the text appears in any text field. No cloud, no telemetry. #ai #llm #opensource

PaperBanana An open-source agentic framework that generates publication-quality academic diagrams and statistical plots from text. 👇🏼 #ai

Any recommendations for Claude's skill for creating HTML slides? #ai #claude #html

Fable 5 is finally here! Amazing news: we can now upgrade from a model we barely use 20% of to a model we’ll use 10% of, for roughly double the cost. What a magical time to be alive 🤣 #ai

AI developers - how do you manage parallel features development of text elements (skills/prompts/agents) and avoid git merge conflicts? #ai