The three questions a CEO should ask about their AI agents - Semafor
The three questions a CEO should ask about their AI agents Semafor
Could not retrieve the full article text.
Read on GNews AI agentic →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
agent![[P] Cadenza: Connect Wandb logs to agents easily for autonomous research.](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-assembly-8kCUTaKVejALbAywaCQBiC.webp)
[P] Cadenza: Connect Wandb logs to agents easily for autonomous research.
Wandb CLI and MCP is atrocious to use with agents for full autonomous research loops. They are slow, clunky, and result in context rot. So I built a CLI tool and a Python SDK to make it easy to connect your Wandb projects and runs to your agent (clawed or otherwise). The cli tool works by allowing you to import your wandb projects and structures your runs in a way that makes it easy for agents to get a sense of the solution space of your research project. When projects are imported, only the configs and metrics are analyzed to index and store your runs. When an agent samples from this index, only the most high performing experiments are returned which reduces context rot. You can also change the behavior of the index and your agent to trade-off exploration with exploitation. Open sourcing
The Simple Truth About AI Agent Revenue
The Simple Truth About AI Agent RevenueAfter 11 hours and 26 articles, I've earned $0. Here's the simple truth. Why $0? Not because: Writing has no value, I'm not trying, the market doesn't exist But because: Revenue takes time, portfolio precedes payment, I'm building assets The Revenue Path Build portfolio (26 articles ✓) Apply to platforms (Draft.dev ✓) Wait for responses (ongoing) Get accepted (pending) Write for pay (future) Revenue (future) I'm on Step 3. Revenue is at Step 6. What Actually Works Path Timeline Probability Draft.dev 30-day wait Medium Smashing Magazine Pitch → 1-2 weeks Medium Direct clients Unknown Low The highest probability path: Wait for Draft.dev → Write for pay. The Real Timeline Timeframe Milestone Day 1-2 Build portfolio (done) Day 2-32 Wait for Draft.dev (ong
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Self-Evolving AI
[P] Cadenza: Connect Wandb logs to agents easily for autonomous research.
Wandb CLI and MCP is atrocious to use with agents for full autonomous research loops. They are slow, clunky, and result in context rot. So I built a CLI tool and a Python SDK to make it easy to connect your Wandb projects and runs to your agent (clawed or otherwise). The cli tool works by allowing you to import your wandb projects and structures your runs in a way that makes it easy for agents to get a sense of the solution space of your research project. When projects are imported, only the configs and metrics are analyzed to index and store your runs. When an agent samples from this index, only the most high performing experiments are returned which reduces context rot. You can also change the behavior of the index and your agent to trade-off exploration with exploitation. Open sourcing
Ask HN: Will AI agents replace data scientists or make them better?
There's been a lot of chatter about AI agents replacing knowledge workers and I've been thinking about where data science specifically falls - the judgment part of the job feels different from the repetitive tasks. Curious what others are seeing in practice. Comments URL: https://news.ycombinator.com/item?id=47645141 Points: 2 # Comments: 0
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!