Auto-aggregated global tech articles · 853 posts
TokenPrint: An Open-Source 3D Visual Debugger for LLMs and Transformers Large language models are usually presented as a stack of equations, architecture diagrams, and source code. That explains what the model is. But it doesn't always explain what is actually happening to a token as it moves th
Nova is an open-source personal AI agent runtime for developers. One Python core is available through terminal, web, desktop, and API, so you get a single local workspace for model providers, tools, sessions, memory, MCP, and sub-agents. The practical problem it addresses is familiar: you start an
Introduction & Industry Context As we navigate the enterprise AI landscape in late 2026, a fundamental architectural shift is occurring: the dominance of massive, multi-hundred-billion-parameter cloud APIs is giving way to localized, highly specialized Small Language Models (SLMs). Organizatio
We ran the new /skill-doctor command on the machine that runs our shop. It listed 40 skills costing about 3,060 tokens on every turn, flagged three as never invoked, and attributed 149 million tokens over seven days to a single skill. One of the three "dead" skills was one day old, four plugin skill
A few weeks ago, an AI assistant gave me a confident, well-written answer about one of my own PDFs. It was completely wrong. Nothing in the document said what the model claimed — it had simply filled the gap with something plausible. That's the quiet failure mode of retrieval-augmented generation (
I build this to solve a problem of mine. My Problem: Reviewing code is becoming a bottleneck Current PRs show changes in a linear flat view. They do not show: what code is the core change the cascading updates that change caused Worse when you're new to the codebase. AI-assisted development is
I use too many AI tools. ChatGPT for brainstorming, Claude for writing and code, Cursor when I am deep in a repo, and Muse on my phone when I am away from my desk. Each one is good at its job. The problem was never the tools. The problem was that none of them knew what I had told the others. Every
Two articles ago I described a habit: when a system has a language model inside it and the output wobbles, the explanation drifts to the model. Then I measured it, and the interesting result wasn't the blame — it was the behaviour. Without access to the code, nineteen of twenty agents set about damp
Back in March 2024, when Redis changed its license, the advice most teams got was simple: wait and see. Valkey, the Linux Foundation fork, was brand new. It was essentially Redis 7.4 with a different governance badge, and nobody wanted to migrate a production cache for a license badge. Two and a ha
อ่านงาน AI ไม่ไหว? เทคนิค HTML ที่คนใช้ Claude Code ใช้วันละ 100 ครั้ง โดย Nokka (นก-กา) | 12 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka เอวินด์ เคจส์บัคเคน เขียนบทความนี้ลง Towards Data Science เมื่อวันที่ 10 กันยายน 2026 [1] เขาเขียน
Most i18n checkers diff key sets. That catches the missing key and then stops. The bug that actually ships looks like this. Every key present, placeholders intact: en: "This will permanently delete your account" es: "Esto guardará tu cuenta de forma permanente" ("will save") Nothing structural is w
I follow the AI governance news closely, and recently I have been hearing a lot of chatter about AI governance harnesses. I think the enterprise industry is slowly waking up and realizing that Large Language Models (LLMs) need a cage. I actually like the idea of thinking about AI governance in terms
Built a small browser game where you argue with stubborn AI decision systems using real law (GDPR, EU261, and now EU AI Act cases). Idea is simple: the bot denies you, you have N messages, drop its certainty to 0% by citing the right rule. Just shipped an EU AI Act path, 11 cases on things like hidd
Half the posts on my feed this week are some version of "what even is an AI agent." If-statements in a trench coat. Memory vs. RAG. Verification bottlenecks. All good debates — and all about the agent's brain. Nobody's talking about its hands. Here's the wall I kept hitting building an autonomous
Note: this declaration was drafted by Mathematicians, and is mostly addressed to the mathematical community. It'd be interesting to discuss, among others, if what is written in the declaration may also apply to other communities---and, specifically, the AI/ML one. submitted by /u/hihey54 [li
We taught machines to predict what humans say. We taught them to summarize knowledge, generate code, write essays, recommend products, imitate experts, and answer questions in milliseconds. But there is a deeper problem we have barely touched: What if the human asking the question does not unders
Programming: The Invisible Power That Turns Ideas Into Reality Programming is often described as a technical skill. We learn programming languages. We learn algorithms and data structures. We learn frameworks, databases, APIs, cloud platforms, and countless tools. But somewhere beyond all of tha
ทำไมนักวิทยาศาสตร์ข้อมูลระดับโลกยังแชร์หนังสือปริศนาคณิตศาสตร์ปี 1980 โดย Nokka (นก-กา) | 12 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka วันที่ 11 กันยายน 2026 ดร.เคิร์ก บอร์น นักวิทยาศาสตร์ข้อมูลและนักฟิสิกส์ดาราศาสตร์ แชร์หนังสือเล่มห
Most LLM code you find online works great in a Jupyter notebook and falls apart the moment real traffic hits it. The bugs aren't exotic — they're small, structural decisions that don't show up until something goes wrong at the worst possible time. Here are six of them, and the fix for each. Don't
I originally built a few personal APIs for tracking things like expenses and movies. When Custom GPT Actions became available, I connected those APIs to ChatGPT so I could simply say things like: "Spent ₹450 on lunch today." or "Add Dune 2 to my watchlist." ChatGPT understands the request, calls the
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