Douglas Pinheiro @dgsdeveloper
Software Engineer | Tecnologia 👨🏽💻🌎 linkedin.com/in/dgsdev/ Brazil Joined September 2009-
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Introducing GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilities As our new flagship model, GLM-4.6 brings significant advancements across real-world coding, long-context processing (up to 200K tokens), reasoning, search, writing, and agentic applications. API:…
It's only Tuesday, but we got: > DeepSeek-V3.2 > Claude Sonnet 4.5 > GLM 4.6 > Sora 2 > Dreamer 4 > Instant Checkout in ChatGPT > Thinking Machines new blog is there a wall?
Cursor can now control your browser. Agent can take screenshots, improve UI, and debug client issues. Try our early preview with Sonnet 4.5.
Introducing Claude Sonnet 4.5—the best coding model in the world. It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.
🚨 #DeepSeek V4 Explosion (~October Release) 🔥 1M+ Token Context Window: Process entire codebases or novels in one go! V4’s massive capacity could make long-form analysis effortless, outpacing rivals 🧠 GRPO-Powered Reasoning: Math and coding get a turbo boost! Expect seamless…
🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus The latest update builds on V3.1’s strengths while addressing key user feedback. ✨ What’s improved? 🌐 Language consistency: fewer CN/EN mix-ups & no more random chars. 🤖 Agent upgrades: stronger Code Agent & Search Agent performance.…
(2/2) Here's the blog post with demos to learn more and try it yourself: una.im/follow-the-anc…
July recap [micro interactions]
A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
Here's a #CSS study list, 100+ features to checkout from the past ~5 years. There're surprises in here for even the most knowledgeable front-end developer! nerdy.dev/cascading-secr…
New on our API: web fetch. Add the web fetch tool to your requests and Claude will fetch and analyze content from any webpage URL—no additional infrastructure needed.
Programming with AI is insanely fun. Process is: 1. generate code 2. read & understand code that was generated 3. make small changes "manually" (still with great autocomplete) 4. test & debug 5. make big changes with new prompt 6. go back to step 1 Pure vibe coding skips step 2…
We’re making GPT-5 warmer and friendlier based on feedback that it felt too formal before. Changes are subtle, but ChatGPT should feel more approachable now. You'll notice small, genuine touches like “Good question” or “Great start,” not flattery. Internal tests show no rise in…
I tested ChatGPT-5 and Gemini 2.5 Pro with same critical prompts. The results will shock you. ChatGPT-5 Vs. Gemini 2.5 Pro (Video demos are included)
Recapping the updates we’ve made to ChatGPT in the past week: - GPT-4o available under “Legacy models” by default for paid users - Paid users can toggle on “Show additional models” in settings to add legacy models like o3 and GPT-4.1, as well as GPT-5 Thinking mini, to the…
🥳 CSS functions have arrived!!! 🥳 And they are *AWESOME* Now, you can do things like this: @function --alpha(--color, --opacity) { result: rgb(from var(--color) r g b / var(--opacity)); } div { background: --alpha(red, 80%); } (*arrived = in the latest stable Chrome)
Claude Sonnet 4 now supports 1 million tokens of context on the Anthropic API—a 5x increase. Process over 75,000 lines of code or hundreds of documents in a single request.
Updates to ChatGPT: You can now choose between “Auto”, “Fast”, and “Thinking” for GPT-5. Most users will want Auto, but the additional control will be useful for some people. Rate limits are now 3,000 messages/week with GPT-5 Thinking, and then extra capacity on GPT-5 Thinking…
New fastest shortest-path algorithm in 41 years! Tsinghua researchers broke Dijkstra’s 1984 “sorting barrier,” achieving O(m log^(2/3) n) time. This means faster route planning, less traffic, cheaper deliveries, and more efficient networks - and a CS curriculum revamp =)

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