What Actually Happens When Your AI Agent Hallucinates: The Real Mechanics Behind Confidently Wrong Code
What Actually Happens When Your AI Agent Hallucinates: The Real Mechanics Behind Confidently Wrong C…
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What Actually Happens When Your AI Agent Hallucinates: The Real Mechanics Behind Confidently Wrong Code
What Actually Happens When Your AI Agent Hallucinates: The Real Mechanics Behind Confidently Wrong C…
Perplexity vs Gemini vs Copilot: Which AI Search Wins?
The confident wrong answer. EBU/BBC: Can the tool report the news faithfully? FAQ: Is Perplexity be…
Which Jobs Will AI Replace First?
Syndicated from Paragon AI MAG on Substack: "Which Jobs Will AI Replace First?" — the four jobs AI h…
Spring AI or LangChain4j? One App, Three Stacks, One Test
Java has quietly become a credible place to build AI applications. That raises a practical question …
I ran a 177B open model on Colab G4 - here is the exact workflow, and the prompt I run before downloading anything
Last week I ran a 177B-parameter open model (Qwen3.8-Flash-Next, abliterated IQ3_S build) on a Colab…
Portfolio in Progress
Going through iterations and Fable 5.2 is crazy good…
如何讓 Claude Code 在你核准後把小工具放進 osFoundry 的 Room
照著這篇做完,Claude Code 會在你的電腦上寫出一個小型內部工具(這裡以站會計時器為例:一份名單、每人 90 秒、一個 Next 按鈕),然後把它提案到 osFoundry 的雲端 Room。…
I Ran Claude Code Against an Open-Source Agent on a 16GB GPU. The Verdict Shook Me.
I bought a new 16GB GPU and decided to test something. I thought Claude Code would eat the open-sour…
A compiler that refuses a contract that says too little
A compiler that refuses a contract that says too little This article was written with the help of …
n8n Nod Uses an Isolated Browser and Vault to Protect Agent Logins
n8n has released Nod, a standalone personal agent designed to run on a user's computer rather than i…
# Why $25 Website Tweaks Needed 3,846 Sales a Week
At 15 minutes of work, that is $78 an hour. At 30 minutes, $39. At 60 minutes, $19.50. A client off…
Building a local-first decision engine that only calls the big model when it's worth it
Every AI agent I've built eventually hits the same wall: calling a big model on every request is too…