Anthropic’s best AI model struggles to attract users as cheaper tools thrive

I built a local heuristic to catch AI sounding product copy. Here is what it actually catches and what it misses.

This week I packaged a small analyzer I had been testing as a Chrome extension: Copy Tell. It checks product descriptions and posts on Gumroad and Substack for the kind of stock phrasing an unedited…

2h ago ·dev.to

Why this blog exists

Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most writing about LLM agents is either a demo that works once on stage or a thread promising the…

• Loop & Retry blog fills gap between demos and tech singularity claims
• Author focuses on realistic agent deployment with unexpected issues
• Posts demonstrate failing version and subsequent fixes with measured data

2h ago ·dev.to

Oracle vs. Amazon: Which Is the Better AI Cloud Stock to Own for the Next 5 Years?

Key PointsOracle's infrastructure may be cheaper and better-suited for AI workloads, but its heavy dependence on major client OpenAI has made many investors nervous.

2h ago ·nasdaq.com

Model Cascade: making LLM classification cheaper

Many LLM workloads are classification tasks. This can get expensive, and I believe it is going to become more and more important, especially with the proliferation of software factories.

• Model Cascade uses a cheap proxy model and an expensive oracle model
• BARGAIN paper shows up to 86% cost reduction on various datasets

2h ago ·dev.to

How to test your LLM app for prompt injection: promptfoo vs garak vs Giskard vs PyRIT vs sentinel-scan-cli

If you're shipping anything with an LLM in the request path (a support bot, an agent that calls tools, a RAG pipeline reading untrusted documents) you eventually have to answer "did we actually test…

1h ago ·dev.to