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Flavio Copes0 Hot0 comments44 min read
Build a private AI feature with a local model, Ollama and Node.js
Build a Node.js feature on a local Ollama model: what's in the model file, schema output, validation, timeouts, a fallback, evals, tests and real speed.
Source: https://flaviocopes.com/local-ai-feature. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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Flavio Copes1 Hot12 min
API pricing vs subscription: what my month of Codex would cost on the API
I priced 30 days of my real Codex usage at API rates. A $100 plan covered $745 of API-equivalent work. Here's the math, the script to run on your own logs, and when the API still wins.
Latest Hacking News1 Hot7 min
Red Flags to Watch for When Choosing Between AI Pentesting Vendors
Choosing between AI pentesting vendors requires looking past marketing labels like 'autonomous' or 'agentic' because the underlying systems vary widely. A Stanford-led study ran different AI agent frameworks against a live 8,000-host network and found that between 55% and 82% of reported findings were confirmed as real vulnerabilities. Swapping only the underlying model moved one framework's valid finding rate from 57% to 80%, yet that same framework still scored lowest overall since its findings stayed shallow. On a CTF-style benchmark two frameworks scored near-identically (48.6% vs 45.9%), but on the live network one scored nearly three times higher on severity and complexity. Buyers should demand proof of exploitation, real-network results, clear safety controls, data handling answers and clarity on what 'continuous' actually means.
Flavio Copes137 Hot6 min
How to run an LLM locally
Run an LLM locally with Ollama. See how much memory you need, where LM Studio and llama.cpp fit, and how to call the model from code.
XDA Developers77 Hot3 min
I put a local AI model on a bootable USB, so I can troubleshoot a dead PC with a chatbot that doesn't need the internet
My rescue USB now also helps me make sense of disk errors.
Daily Dose of Data Science | Avi Chawla | Substack152 Hot7 min
RAG vs. Vectorless RAG, clearly explained!
...explained visually (with tradeoffs in production).
XDA Developers24 Hot4 min
I replaced Grammarly Pro with a local model on my GPU, and my drafts never leave my PC
My local LLM replaces yet another subscription for effectively $0
Medium40 Hot9 min
DeepSeek Super-Agent Architecture Explained
How DeepSeek Harness's Super-agent works: a Router, isolated Workers, event triggers and a Watchdog let one AI agent run many tasks. Diagrams inside.
XDA Developers3 Hot4 min
I replaced Gemini and ChatGPT on my phone with my gaming PC’s 26B model, and the app that does it is free
Farewell, bloated AI apps!
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