/2 NVIDIA-backed sparsity trick makes LLM training and inference 20% faster on H100s. AI models already do less math than you'd think. Over 95% of neurons stay silent for any given word processed. That's free efficiency, right? Not quite. The problem: GPUs hate irregular work.
@alphasignalai
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Running 284B Parameter Models Locally on MacBook Pro
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/1 Garry Tan tests a 1M token coding model running locally on a MacBook Pro. Antirez, the person who built Redis, just shipped ds4: a custom engine that runs DeepSeek V4 Flash, a massive 284B parameter AI model, fully on your MacBook. No cloud. No API costs. How is that even
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Top AI Repositories and Tools of the Week
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Top Repo of the Week (May 11 – 17) 1. DeepSeek 4 Flash local inference engine for Metal and CUDA
2. Sparser, Faster, Lighter Transformer Language Models
3. RuView: Turn commodity WiFi signals into real-time spatial intelligence
4. Claude for Legal: A suite of plugins for legal -
Transformer Explainer: Visualizing How GPT Models Work
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This free interactive explainer just exposed how GPT actually works.
— AlphaSignal AI (@AlphaSignalAI) 17 mai 2026
Most people treat Transformers like magic. You type something in, words come out.
What happens inside stays a black box for almost everyone.
Transformer Explainer cracks that box wide open. It runs a live… pic.twitter.com/dkSxhjTFIgThis free interactive explainer just exposed how GPT actually works. Most people treat Transformers like magic. You type something in, words come out. What happens inside stays a black box for almost everyone. Transformer Explainer cracks that box wide open. It runs a live
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Adala framework automates data labeling with autonomous AI agents
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Adala just killed manual data labeling with autonomous agents. Most data labeling still happens by hand. Teams burn weeks tagging examples to train one model. This is an open-source framework for autonomous data labeling agents. They learn skills on their own using a
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Diffusion Models for Text Generation
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A new paper demonstrates how to adapt image diffusion models for text generation using 10 times less data. Researchers have introduced a novel approach to generate text with diffusion models. While diffusion models excel in image and video generation, current state-of-the-art text generation systems still depend on discrete tokens.
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Optimizing Claude Code Tool Calls
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You can cut Claude Code's tool calls by 94% with one command.
— AlphaSignal AI (@AlphaSignalAI) 14 mai 2026
When Claude Code explores a repo, it spawns agents to scan files.
Each scan burns tokens on every tool call.
CodeGraph is an open-source MCP server that fixes this.
It pre-indexes your codebase into a local… pic.twitter.com/W8SMYr0RJlYou can reduce Claude Code's tool calls by 94% with a single command. When Claude Code analyzes a repository, it launches agents to scan files. Each scan consumes tokens with every tool call. CodeGraph is an open-source MCP server that solves this issue. It pre-indexes your codebase locally.
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Hugging Face Launches CLI Agent for ML Research
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Hugging Face open-sourced a CLI agent that runs full research loop of an ML engineer.
— AlphaSignal AI (@AlphaSignalAI) 13 mai 2026
You give it a prompt. It reads papers and walks citations.
Then it pulls datasets and writes training scripts.
It launches GPU jobs and iterates until something works.
On scientific… pic.twitter.com/NNkcFiNFlXHugging Face has open-sourced a CLI agent that automates the full research loop of an ML engineer. You provide it with a prompt, and it reads papers while following citations. It then retrieves datasets, writes training scripts, launches GPU jobs, and iterates until results are achieved. For scientific…
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The Future of AI Agents: The War Room
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The future of AI agents isn't text. It's a war room.
— AlphaSignal AI (@AlphaSignalAI) 13 mai 2026
Hermes already lets you run a fleet of specialized agents that hand work to each other.
The problem was visibility.
You had to SSH into your machine and grep logs to see what each one was doing.
Orchestration War Room is… pic.twitter.com/lYFiHWyrVWThe future of AI agents isn't text. It's a war room. Hermes already allows you to run a fleet of specialized agents that hand off work to each other. The issue was visibility. You had to SSH into your machine and grep logs to see what each one was doing. Orchestration War Room is…
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AI Agent Must Cut Tokens via MCP
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Your AI agent must connect to its MCP server and follow the workflow to significantly reduce token usage.