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Mark Zuckerberg Takes Aim at Anthropic in Debate Over A.I. Slowdown

On social media, Meta’s chief executive appeared to jab at Anthropic by saying that leading A.I. labs should be focused on safety rather than improving their own technology.

Mark Zuckerberg Takes Aim at Anthropic in Debate Over A.I. Slowdown

We haven't written up this one. The New York Times has the full story — the link below goes straight to it.

Read the original at nytimes.com →

More in AI

From Ring to Repo: Predicting Developer Fatigue Using Oura Data and Random Forest

We’ve all been there: you’re staring at a simple pull request for 45 minutes, unable to comprehend why a map() function is failing. Usually, we blame the coffee or the lack of it.

  • Use Oura Ring data and Random Forest model to predict developer fatigue
  • Engineer features like HRV balance and sleep efficiency for prediction
  • Visualize predictions in Grafana for real-time monitoring

GEO Experiments Show Why Brand Mentions May Matter More Than Owned Content

Two GEO experiments point to a consequential shift in how businesses should approach visibility in AI-driven search. The findings suggest that credible third-party sources mentioning a brand may…

  • Third-party brand mentions may hold more weight than owned content in AI-driven search.
  • Owned content important for clarity and credibility but not primary driver of AI citations.
  • Focus on trusted publications and content partners for AI visibility strategy.

Self-hosting AI code review is a model-placement decision, not a tool decision

When a team says it wants a self-hosted AI code reviewer, the real question is where the model runs, not which repo to clone. The tool is the easy part.

  • Self-hosted AI code reviewer decision hinges on model placement, not tool choice
  • PR-Agent repository on GitHub demonstrates model placement distinction
  • Options include hosted model + self-hosted app, local model + local app

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