Three companies launched a feature called "Skills" in the last 8 months. Claude. Perplexity. Grok. Same name. Completely different products. And one detail most people missed: Anthropic didn't just build Skills first. They open-sourced the standard that the other two are now
LLMS
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The shift from pure LLMs to neurosymbolic AI architectures
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The pure LLM debate – which I had for many years, here and elsewhere – is indeed no longer relevant. Why? Because I won; nobody uses pure LLMs anymore. Nowadays all deployed objects are neurosymbolic, which was exactly the point of my infamous 2022 paper, Deep Learning is
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Automated 4-phase reality check workflow for Claude
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Now every time you ask Claude for a reality check, it runs the full 4-phase analysis automatically. No re-pasting. No setup. Just ask and it delivers. Follow @godofprompt for more prompts like this.
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Clear communication as the foundation of effective prompt engineering
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Prompt engineering is just communication with a specific audience. The "best prompt template" won't fix unclear thinking. The "perfect framework" won't fix vague instructions. Learn to communicate clearly, and every model gets better.
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Understanding Model-Specific Prompt Engineering and Audience Analysis
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Theory 3: Audience Analysis (Aristotle to today) The oldest communication principle: know who you're talking to. In prompting, your "audience" is the model. And every model processes differently. Claude reads system prompts differently than ChatGPT. Gemini handles long context
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Anthropic releases open-source Claude plugin suite for legal professionals
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/4 Anthropic ships free open-source legal tool that drafts contracts in minutes. Anthropic just shipped claude-for-legal, a free, open-source plugin suite that turns Claude into a legal assistant. It covers 10+ practice areas, from contracts to litigation to AI governance.
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NVIDIA-backed sparsity optimization for faster LLM training and inference
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/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.
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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 -
Glean Platform Integrates Enterprise Systems with AI Agents for Unified Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all