Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵
LLMS
-
Levangie Labs Enhances Anthropic Claude Cognitive Architecture
By
–
Thanks to @blevlabs
' Levangie Labs and its cognitive architecture. Makes Anthropic Claude way better. -
Book Independence and Relationship to LLM from Scratch Guide
By
–
Thanks for getting a copy! And that's a good question, there's practically not much overlap. So, this book can be read on its own, and it also works well as a follow-up to Build a Large Language Model (from Scratch). The latter focuses on LLM architecture and pre-training from
-
Genspark Offers Unlimited AI Chat and Image Access in 2026
By
–
5/ The wildest part? Genspark is offering unlimited usage of AI Chat and AI Image for all of 2026. Nano Banana 2, GPT Image, Flux, Seedream, Gemini 3.1 pro, GPT-5.4, Claude Opus 4.6 and more are available with unlimited access for paid users. In the web version click the blue
-
Combining Multiple LLMs for Enhanced Workflow Utility
By
–
2/ What I really really liked is that it’s not just one model… It’s combining models like GPT, Claude, and Gemini in the background so you actually get finished output instead of just text, and i think that makes it actually useful
-
mngr: Open Source Tool for Managing Parallel Claude Code Sessions
By
–
mngr: programmatically manage 100s of claude code sessions in parallel 🤖 open source today. lets you do things like: — for each open GitHub issue, create a PR — for each flaky test in the past week, fix it — for each rule in style guide, scan codebase & fix all instances runs any agent: @claudeai, codex, @opencode, etc. runs on any compute: locally, @modal, @Docker, or anything you can ssh into.
-
Mistral TTS Local Deployment Challenges Explained
By
–
Yeah dude, that latest Mistral TTS model is a major pain in the a** to figure out how to run locally.
-
Using AI as a Personal Content Strategist
By
–
3/ BUILD YOUR ONE PERSON CONTENT SYSTEM Prompt: Act as a one-person content strategist who applies Dan Koe's content system of writing about one topic from every angle until the internet knows your name. Build a complete content system that positions me as
-
Open-source plugin optimizes Claude Code with multi-agent coordination
By
–
Your Claude Code setup is 3x slower than it could be right now.
— AlphaSignal AI (@AlphaSignalAI) 2 avril 2026
An open-source plugin can now run 32 specialized AI agents inside Claude Code.
Zero new tools. Zero learning curve.
The project is called oh-my-claudecode.
It coordinates Claude, Gemini, and Codex through tmux… pic.twitter.com/XdA0p71JIEYour Claude Code setup is 3x slower than it could be right now. An open-source plugin can now run 32 specialized AI agents inside Claude Code. Zero new tools. Zero learning curve. The project is called oh-my-claudecode. It coordinates Claude, Gemini, and Codex through tmux
-
Memory Sparse Attention Framework Enables 100M Token Processing
By
–
Can AI models finally process context the size of a lifetime? Evermind, Shanda Group, and Peking University present Memory Sparse Attention (MSA)! This new framework gives AI a massively scalable, end-to-end trainable long-term memory. It uses an innovative sparse attention architecture and other techniques to handle hundreds of millions of tokens with linear efficiency, maintaining exceptional precision. MSA processes 100M tokens on 2xA800 GPUs with less than 9% precision degradation from 16K. It significantly outperforms frontier LLMs, SOTA RAG systems, and leading memory agents in long-context benchmarks, paving the way for lifetime-scale AI memory. MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens Code: github.com/EverMind-AI/MSA Paper: zenodo.org/records/19103670 Our report: mp.weixin.qq.com/s/FHJA4kALc… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-02 14:25 UTC