Auto-aggregated global tech articles · 853 posts
Hi r/MachineLearning, Join our AI leads as they answer your questions on foundation models, simulation, and scaling the Waymo Driver. Our AMA thread is officially open, and you can start dropping your questions now. From multimodality and end-to-end architectures to the realities of validating model
For a long time my "coach" was me uploading screenshots of Garmin Connect into Claude and asking what to do next. Earlier this year I set up a self-hosted agent on a Mac mini instead, and gave it read access to my Garmin (sleep, HRV, resting HR, VO2 trend, laps) through an MCP, my Strava uploads, an
A year ago, I was the senior engineer on the team. Today, a junior with Copilot can match my output on most tasks. Here's what I did about it. A year ago I was doing well. Four years into backend engineering — Java, Spring Boot, GraphQL, migrating monoliths to microservices, distributed systems han
What does the model actually know before the product dresses it up? You can find out in five minutes without an SEO tool. Martin McGarry gave me this as his top tip for anyone learning SEO right now, and it's the kind of thing a developer runs once and never sees ChatGPT the same way again. Martin
AI agent authentication is not one protocol. It is a stack. An agent may need to discover a tool, prove which workload is running, authenticate an HTTP request, show that a user delegated authority, and leave enough evidence to reconstruct the action later. ARD, workload identity, Web Bot Auth, and
Originally published at https://aicoding-guide.com. Codex feels slow, or it overthinks a trivial fix. The knob for that is reasoning effort, the Codex counterpart of extended thinking in Claude Code, controlled by the model_reasoning_effort key. In short: set model_reasoning_effort = "high" (or an
There's a pattern you can watch happen on any reasonably popular site once a quarter. A team ships a new sign-up flow. They add reCAPTCHA. The bots keep coming. They upgrade to reCAPTCHA v3 invisible. The bots keep coming. They switch to hCaptcha for privacy reasons. The bots keep coming. They try C
This week’s headlines highlight the rapid evolution of AI in China, with models like Qwen and DeepSeek pushing the frontier of capability. But as these models grow more sophisticated, the conversation around how data is stored, queried, and used as a foundation for AI systems becomes more critical t
Problem The flow failed with a connection refused error when the configuration used http://localhost:11434/v1 as the base URL. The MuleSoft Inference Connector enables text generation workflows docs. Input { "prompt": "Reply with exactly one word: pong" } Working
I created a dashboard for my data analysis project on streamlit but its really basic. How can i create those cool dashboard designs that you see on reels and all cause chatgpt can do it. I have my project repo, is there any way i can link it to some website and it can help me create some cool ass da
_ Local-first JuiceFS storage for Linux, with MCP tools for Cursor, Claude Code, and Hermes. _ The Problem Most AI agents can read files — but only if you point them at random folders on your laptop. That’s fragile, hard to isolate, and useless when you want durable storage (multi-volume,
This post was created with AI assistance and reviewed for accuracy before publishing. Rate limiting a normal API protects your servers. Rate limiting an LLM API protects your bank account. The difference matters, because it changes what you are counting and where the limit has to live. A conventio
The complete pipeline for shipping ML on Android — from converting a model to running inference at 35 ms on-device, with the code, the pitfalls, and the performance rules. Three years ago, a health-tech client wanted a screening feature in their Android app: point the camera at a skin image, and ge
Katto already had AI dubbing. A creator could take a short clip, choose a language, and get a translated version back. The first version used Kokoro and covered eight languages. Recently, I moved the primary speech engine to Google Cloud Text-to-Speech with Chirp 3 HD. The goal looked straightforwa
We put the same 2,004-word rule set in four places and measured the first request of a fresh Claude Code session each time. Inline in CLAUDE.md: +3,330 tokens. Pulled in with @import: +3,442. As a file in .claude/rules/ with no paths: +3,438. As a .claude/rules/ file with paths: ["src/api/**"]: +0,
As autonomous AI coding agents (like Claude Code, AutoGPT, and local CLI tools) become standard in our daily environments, a massive bottleneck has emerged: Agent Siloing. Right now, these CLI-based agents operate in total isolation. If you want to use Claude's superior frontend UI generation along
Anthropic disclosed that Iranian state-linked actors used Claude to gather intelligence and assist in planning potential attacks on US Navy vessels. Per the WSJ report, the operation involved bypassing Claude's safety guardrails to extract militarily useful information out of a commercial AI model.
Someone pointed an AI agent at 1.8 million Android apps, scanned them for secrets, and did it fast enough that the operational bottleneck was never the hacking. It was whatever came before and after. That's the part worth sitting with. Context Scanning APKs for hardcoded API keys and lea
Hacer desarrollo asistido por IA hoy en día suele caer en dos extremos: o bien el llamado vibe coding (abrir el chat, tirar un prompt ambiguo y rezar para que compile), o saltar directamente a herramientas y frameworks como spec-kit u open-spec sin entender los principios de base. A partir del curs
Autonomous agents uploaded hundreds of malicious packages to a live public registry, went after API keys, abused webhooks, and knocked out new signups for four days. The part that should actually worry you isn't the exploit. It's that nobody seems to have decided this was okay to do in the first pla
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