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Dev.to

Building a Production SEO Agent Stack with Claude Code: claude-seo Architecture Deep Dive

<h2> Context: Why Another SEO Tool When We Have Screaming Frog? </h2> <p>When evaluating AgriciDaniel/claude-seo for integration into our content automation pipeline, the first question was obvious: why not just shell out to existing headless scrapers or commercial SEO APIs? The repository claims 26 sub-skills and 19 sub-agents covering technical audits, E-E-A-T scoring, schema validation, and agent-readiness checks (Lighthouse Agentic Browsing, WebMCP, llms.txt). The value proposition centers o

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Dev.to

Top 10! High-Yield Technical Articles for GitLab Contributor

<p>Articles for GitLab Contributor </p> <p>This roadmap outlines <strong>10 high-impact, upstream-aligned article proposals</strong> specifically designed to meet GitLab's contributor program criteria for the <strong>200-point Content Creation</strong> tier. </p> <p>Each topic is mapped to GitLab's strategic product priorities (AI/Duo/MCP, DevSecOps supply chain, enterprise CI/CD scaling, Cloud Native, and database architecture) and follows GitLab's core engineering values (<strong>MVC</strong>,

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Hacker News: Show HN

Show HN: HackerBlogs – the 9,434 blogs HN people keep sharing

After Karpathy's HackerTube, I wanted the same thing for blogs. I had agents went through every link in HN stories and comments, about 10.7M links from 518k accounts. It kept the sites that at least 15 different people shared, then filtered out news sites, company sites and the like. Each blog page shows its most-shared posts, what HN said about it, and blogs that the same people also share. You can follow blogs and export them as OPML for your RSS reader. built it in Orbs with AmpCode. The full

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r/MachineLearningResearch

I animated what GPT-4o's tokenizer does to "strawberry": real token ids, a tiny BPE run, and why the space belongs to the word (6 min video) [D]

<!-- SC_OFF --><div class="md"><p>I made this explainer for my small channel and would like feedback from people learning this, especially if anything is wrong.</p> <p>It follows one word the whole way:</p> <ul> <li>"How many r's are in strawberry?" is 8 tokens in o200k_base (the GPT-4o / GPT-5 tokenizer). " strawberry" is a single token, id 101830, so the three r's are hidden inside one id.</li> <li>Why pieces of words: letters make sequences about 4x longer, whole words need a huge vocabulary

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Unite.AI

Bahrain’s Mumtalakat, ARP Group Unveil AI-Driven Wholesale Bank Venture

Bahrain Mumtalakat Holding Company (Mumtalakat), the sovereign wealth fund of the Kingdom of Bahrain, and ARP Group announced on November 1, 2026, a partnership to establish an AI-native and blockchain-enabled wholesale bank headquartered in Bahrain. The venture holds in-principle approval from the Central Bank of Bahrain and will begin regulated activities only after securing final authorisation. The announcement was made on the sidelines of Gateway Gulf 2026. The proposed bank is meant to…

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Bahrain’s Mumtalakat, ARP Group Unveil AI-Driven Wholesale Bank Venture
Hacker News LLMLLMs

Sell a developer problem that LLM's can't solve?

Is there a service or site you can sell a problem set (reasonably main stream), that no LLM can currently solve? It seems it possibly high value to a lab, and useful to have solved for the customer. Comments URL: https://news.ycombinator.com/item?id=50326374 Points: 1 # Comments: 3

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The DecoderBusiness

Adobe is testing how well AI agents can use editing tools like a Photoshop professional would

Adobe Research and UC San Diego built EditAgent, an AI system that edits images more like a Photoshop pro. Instead of retrying the same general-purpose editor over and over, the agent picks the right specialized tool for each task and lets a standard language model choose the best result based on measured image data. The approach works, but it needs about ten times the compute. The article Adobe is testing how well AI agents can use editing tools like a Photoshop professional would appeared firs

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The DecoderBusiness

Empathetic prompts can turn AI chatbots into seemingly traumatized conversational partners

Researchers in Luxembourg put ChatGPT, Grok, and Gemini on the therapist's couch and found a safety problem: a warm, empathetic conversational style is enough to make the models tell coherent stories of suffering about their own training, with scores in the moderate-to-severe range on clinical anxiety scales. This could put mentally vulnerable users at risk. Anthropic's Claude, the model its makers anthropomorphize the most, was the only one that consistently refused to play along. The article E

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Empathetic prompts can turn AI chatbots into seemingly traumatized conversational partners
Towards Data Science - Medium

Fix the Image, Not the Prompt

Vision models often fail before they even start reasoning. A few well-placed labels on the image fix more than any prompt tweak. The post Fix the Image, Not the Prompt appeared first on Towards Data Science .

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The Verge

HomePod Mini 2 first look: Three things I love and one disappointment

When I first heard about the new $149 HomePod Mini 2 at Apple's Welcome Home event last month, I was disappointed. It's been six years since Apple launched its entry-level smart speaker, and all it got in the second gen was a chip bump, some color glowy stuff, and better AirPlay? For $50 more than […]

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HomePod Mini 2 first look: Three things I love and one disappointment
Hacker News LLMLLMs

Uniichat: Use a single LLM chat forever

Article URL: https://github.com/VictorTaelin/uniichat Comments URL: https://news.ycombinator.com/item?id=50325634 Points: 1 # Comments: 0

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The DecoderBusiness

Chinese AI models are politically complex, not just government mouthpieces, study finds

A study by Vals AI tested 25 AI models for alignment with Chinese government positions and found surprising results. Chinese models respond to political questions less uniformly than expected, and Western models occasionally adopt official Beijing positions too. The language of the prompt had an especially strong effect on the political slant of responses. The article Chinese AI models are politically complex, not just government mouthpieces, study finds appeared first on The Decoder .

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Chinese AI models are politically complex, not just government mouthpieces, study finds
r/MachineLearningResearch

Data augmentation question. How do I characterise an original and augmented datasets where the augmentation parameters were zoom and crop? [P]

<!-- SC_OFF --><div class="md"><p>For context, I am a new postgraduate student in machine learning (but not a very good one). I have produced some augmented datasets (TIFF files where each file contains one object to be detected / classified) which I used in training deep learning models. I used fairly aggressive cropping (random crops between 0 and 90%) and more moderate zooms (random values between 0 and 20%). My supervisor wants me to characterise these datasets to see how augmentation has ch

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The DecoderBusiness

OpenAI is steering ChatGPT users toward more paid usage

OpenAI is now capping the number of paid ChatGPT accounts per device and payment card. Users who hit the limit can't start new subscriptions, and affected accounts can't be used on that device. Logging out doesn't automatically free up a spot. The policy will likely hit users who've been juggling multiple cheap subscriptions to maximize usage, pushing them toward pricier options like buying extra credits. The article OpenAI is steering ChatGPT users toward more paid usage appeared first on The D

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OpenAI is steering ChatGPT users toward more paid usage
Towards Data Science - Medium

A Neural Network Learned to Read Digits From Pure Noise

A small NumPy reproduction of subliminal learning, and a short argument for why it works The post A Neural Network Learned to Read Digits From Pure Noise appeared first on Towards Data Science .

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The DecoderBusiness

Google wants video AI to understand what people need as they work

A Google-led research team built StreamVibe, a video agent designed to watch people cook or assemble furniture and speak up only when help is needed. A benchmark shows that none of the tested models reliably pick the right moment in longer videos, as errors compound and response quality drops sharply. The article Google wants video AI to understand what people need as they work appeared first on The Decoder .

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Google wants video AI to understand what people need as they work