Outside tech still isn't seeing AI pay off

What happened: A note from Apollo's chief economist says companies outside tech are not yet getting a measurable return from AI spending.

• Business spending on AI tokens grew just 0.2% in September, down from 42% in July, based on Ramp data.
• 80.4% of the top 1% of AI spenders in the data cited are VC-backed.
• A St. Louis Fed review of about 490,000 earnings calls found executives mostly describe AI productivity gains as still to come.

Why it matters: The test for your company is whether a buyer outside tech sees a margin gain, not whether your model is capable. If your product uses many tokens per customer, expect cost pushback and price with that in mind.

What happened: A GitHub project reports that five Qwen3.8-27B models working together can match Fable 5 when run with the GVS5H Harness.

• Five Qwen3.8-27B models are combined using the GVS5H Harness.
• The post reached the Hacker News front page with 165 points and 57 comments.
• The builders' discussion is at news.ycombinator.com/item?id=50228167.

Why it matters: If the match holds up in your own tests, a group of Qwen models may be worth comparing against the model you use now. Run your real tasks through it before you change anything.

What happened: Agent Notch puts a live count of waiting Claude Code agents beside the Mac notch, so you can see who needs you without switching windows.

• A red count appears when an agent asks a question or waits for permission, and clicking a row jumps to that agent's app.
• The app works only with Claude Code on Mac and needs macOS 14 or later.
• It is released under the MIT License and makes no network requests except when you press Check for Updates.

Why it matters: Users running several agents want to see which one is working, which one is blocked, and how to jump to it. Any agent product that hides that state inside a terminal will feel slow to supervise.