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DeepSeek’s new DSpark module brings speculative decoding to DeepSeek-V4. It might look like a niche inference tweak, but in production it boosted per-user generation speed by 60 to 85 percent with no drop in model quality. What sets DSpark apart is that it tackles two longstanding problems at once, weak draft quality and the waste […]
DeepSeek DSpark: The Speculative Decoding Trick Behind 400% Faster LLM Read More »
Vision Language Models, or VLMs, are AI models that can understand both visual content and language. While earlier models like CLIP and BLIP connected images with text, modern VLMs can analyze images, read documents, interpret charts, answer visual questions, and support multimodal conversations. Models like GPT-4o, Gemini, Claude Vision, and Qwen-VL are making visual AI
Modern VLMs Explained: How GPT-4o, Gemini, Claude Vision, and Qwen-VL Work Read More »
You tell your AI “Polish my email and send it.” Same sentence, three outcomes. The gap between Large Action Models (LAMs) and agentic LLMs is one of the most practically important distinctions in AI today, and also one of the least clearly explained. In this article, we cut through the confusion through a simple breakdown
Large Action Models (LAMs) vs Agentic LLMs: What’s the Real Difference? Read More »
Anthropic has just released Claude Sonnet 5. Sonnet. Had to say it twice. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capable, cheap to run, and free to start. In this article, we go over the latest iteration of the Claude’s Sonnet family
Three chatbots. Same price of $20 for their subscriptions. The convergence is almost funny considering how different the offerings are. The same price does not mean the same product. I paid for all three and ran the same work through each. They are not interchangeable as you’ll soon find out. Pick wrong and you’ll spend months
The Best $20 AI Plan: ChatGPT Plus vs Claude Pro vs Gemini Pro Read More »
You’ve heard the warnings! Don’t tell ChatGPT your secrets. The robots are reading everything. Your data is the product. And yet here you are: using them as a subscriber. Because AI is genuinely useful! The good news: that distrust is healthy, and you don’t have to choose between using AI and protecting yourself. You can
Most search agents try to handle too many jobs at once. They generate new queries, remember what they have already explored, collect evidence, and decide what is relevant as the search keeps expanding. That can make the whole process messy, expensive, and hard to control. Harness-1 takes a simpler approach. Built with researchers from UIUC,
Harness-1: The 20B Retrieval Subagent That Beats GPT-5.4 at Search Read More »
For years, AI progress has centered on scaling individual foundation models: larger parameters, longer context windows, stronger reasoning, and better tool use. Sakana AI’s Fugu points elsewhere, behaving like one model from the outside while coordinating multiple expert agents internally. A single API call can trigger direct answering, specialist delegation, intermediate verification, and final synthesis,
Everyone says Claude can’t make pictures. That’s partly true. Here is the kind of art it makes on its own, with no plugins and no connectors: Drawn by Claude in SVG, no image model anywhere near it. Not pixels but code: shapes and coordinates that stay sharp at any size and redraw themselves when you
Claude’s Hidden Art Skill: Making Illustrations With Code Read More »
Most people used ChatGPT like a smarter search engine. Ask a question, get an answer, and move on. It works but it leaves a surprising amount of value on the table. Over the past few years, ChatGPT has evolved far beyond a simple chatbot. It can browse the web, analyze files, generate images, maintain memory,
Most People Use ChatGPT Wrong: 10 Features and Tips That Changed How I Work Read More »
