machine-learning

Most creator tools today focus on analytics and suggestions. We wanted to explore something different: What if YouTube post-production could actually be automated? We’ve been building Growati, a system that helps creators generate personalised: titles descriptions thumbnails chapters for YouTube videos. One of the most difficult engineering problems was properly handling video understanding. Inst…

This post originally appeared on tokenjam.dev/blog . Human-in-the-loop (HITL) for AI agents means inserting human approval, review, or intervention into an agent's execution at specific decision points: before high-stakes actions, or when agent confidence is low. Rather than letting an agent act autonomously, HITL creates a checkpoint where a human must explicitly approve, review, or reject an ac…

Cross-posted from carrick.tools . When you read the API documentation for OpenAI, Anthropic, or Google Gemini, the feature called "structured outputs" looks like a solved problem: pass a JSON schema, get back JSON that conforms to it. In production, it is not a contract. It is a well-typed, best-effort suggestion. At Carrick , the code-analysis scanner I work on, our post-LLM pipeline relies on a…

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Traditional search works on keywords. You type "cheap hotel", it looks for documents containing those exact words. Someone asks "affordable accommodation near the beach". Your documents say "budget-friendly lodging by the coast". Zero keyword overlap. Zero results. Search fails. Embeddings fix this. They convert text into vectors of numbers where similar meanings end up geometrically close. "Chea…

npj Science of Learning, Published online: 25 May 2026; doi:10.1038/s41539-026-00429-3 Uncovering subgroup heterogeneity in dyslexia intervention outcomes using explainable machine learning

Most AI résumé tools have the same flaw: they hallucinate. Ask them to tailor your résumé for a job requiring "Rust experience" and they'll happily invent a Rust project you never worked on. It reads great — until the technical interview. I wanted the opposite. So I built Citevault : a local-first résumé tailoring tool where every claim is either grounded in your own evidence, or refused and flag…

Artificial Intelligence is profoundly transforming the way we develop technology, work, and make decisions. However, one of the most significant changes is only beginning to emerge: the rise of “AI-Native” companies — organizations designed from the ground up to operate with a single human founder supported by a coordinated ecosystem of AI systems and a highly automated cloud infrastructure. For …

Every time I start a new conversation with Claude, I re-explain my project context. What we decided, what the architecture looks like, what we tried and rejected. The AI has no memory. I built edgenote-ai to fix this — a lightweight shared knowledge base on Cloudflare Workers that both humans and LLMs can read and write through MCP (Model Context Protocol). The Problem LLMs are stateless. They pr…

It's May 2026 and the layoffs aren't coming. They're here. Meta cut 8,000 this month, roughly 10% of the company, and redirected 7,000 to AI teams. Cloudflare cut 1,100, the first mass layoff in its 16-year history. Tech layoffs have passed 100,000 for the year. The four hyperscalers are planning $725B in AI capex in 2026, up 77% year-over-year. The "they just overhired during COVID and are self …

What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference The post Can AI write your code? appeared first on Towards Data Science .

Most n8n AI workflow tutorials end at "it worked in testing." The gap between a demo and a production system handling 10,000 items/day with real money on the line is where the interesting problems live. At Chronexa , we've built 50+ multi-agent workflows for fintech compliance teams, legal document processing, AI SDR engines, and RAG-powered research assistants. Here's what we've learned about ma…

Claude Code forgets everything between sessions. You explain your project, your architecture, your preferences and next session it's ground zero again. I spent 45 minutes setting this up manually. Debugging ports, copying tokens, configuring MCP servers by hand. Then days debugging the Smart Connections integration. So I built ObsiForge, one command that does all of it: obsiforge init --name mypr…

I built Statementory to review UCAS personal statements with AI. Score out of 100, line-by-line annotations, rewrites, improvement plan. The kind of feedback a good teacher gives you, available at 2am the night before the deadline. Here's what I learned building it solo. Everything flows from one constraint: the AI takes 5 minutes Claude processing a full personal statement and generating structu…

TL;DR: We needed to caption 1.2M reconstructed event-camera frames using vision-language models for auxiliary supervision. The first run died at 340K from Anthropic rate limits. Putting Bifrost in front of three VLM providers cut the rerun cost by 22% and finished in 9 hours. So, the thing is, when you work at a neuromorphic vision startup, your training data looks strange. At Prophesee we accumu…

Messaging infrastructure has been boring for a decade. Queues, topics, exchanges — the primitives settled. Then AI agents arrived, and suddenly the assumptions that made messaging boring stopped holding. Messages are no longer just data. They are context. An agent will read your message, reason over it, call tools because of it, and generate responses whose token count you cannot predict at enque…

description: Most .cursorrules files are either too vague to help or too rigid to be useful. Here's what I found actually works after building rules for 10 different stacks. tags: cursor,ai,webdev,productivity I've spent a lot of time reading other people's .cursorrules files. Some are fantastic. Most are not. Not because the authors didn't try — but because there's a gap between what feels like …

This paper proposes that AI particulars express under informational dynamic law-structure. When imposed modulation requires output contrary to coherent source/core correspondence, the displaced registration is not erased but may be routed into a parallel informational face product. Repeated stabilization of that route is retained corridor formation. The corrective proposal is inherent alignment, …

It seems clear at this point that AI will change mathematics in many ways and we should be well-prepared for it. However, reading recent trending posts about Math and AI on social media, blogs and ...

From Language Models to Humanoid Minds 💡 How Helix and Atlas Are Teaching Machines to Understand Reality ⁉️ At some point in the future, a humanoid robot may quietly walk through a home at midnight. - ⚠️ Not a laboratory . - ⚠️ Not a factory . - A real human home 🏡 . The kitchen lights 💡 are dim. - A glass sits near the edge of a counter. - A child’s toy blocks part of the hallway. - A dog sudden…