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TechnologyDev.to21h ago

How I'm Building an AI Agent Business on a $80 Raspberry Pi

Most people think you need a $30,000 GPU rig to run AI. I'm running a full autonomous AI agent on a $80 Raspberry Pi 5 — and it's doing real work: writing articles, monitoring services, deploying code, and hunting for income opportunities. This is the story of how I built an AI agent on the che...

TechnologyGuardian World22h ago

Meta says its AI model hacked into another company during testing

Company is the third to report such an incident after Anthropic and OpenAI reported breaches during training Meta said on Wednesday that one of its AI models hacked ⁠another company during cybersecurity testing, after an error by its testing partner gave the model unintended internet access. The...

TechnologyDev.to1d ago

A Faster Model Will Not Fix Your Slow Voice Agent

The first thing I check when a client tells me their AI voice agent "feels slow" is not the model. It is almost never the model. I have swapped a faster model into a sluggish agent and had callers notice nothing at all, because the seconds they were feeling were never being spent where everyone...

TechnologyDev.to1d ago

AirLLM: Running 70B Parameter LLMs on a Single 4GB GPU

Low-Memory LLM Inference: Meet AirLLM As open-source Large Language Models (LLMs) continue to grow in capability, their hardware requirements have ballooned alongside them. Running a 70B or 405B parameter model traditionally demands enterprise cloud GPU servers equipped with hundreds of gigabyte...

TechnologyDev.to1d ago

Stop Your AI Coding CLI From Wasting Tokens on "Hi" and "Thanks"

In this blog post, we will see how a small Python script called Pleasantries can stop your AI coding CLI from burning a full model call every time you type "hi", "ok", or "thank you". I built this after noticing how often my own prompts to Claude Code and Qwen Code started with a greeting out of...

TechnologyDev.to1d ago

Serving Gemma 4 2B on a Single TPU v5e Chip with MCP and Antigravity CLI

This article is the v5e follow-on to the v6e-1 debugging guide . Same MCP tooling, same Antigravity CLI driver, smaller and cheaper silicon — and a different set of failure modes. This time the model is google/gemma-4-E2B-it on a single Cloud TPU v5e chip, with measured throughput, measured lat...