Open Data Infrastructure in the age of AI agents
We haven't written up this one. Analytics Engineering Roundup has the full story — the link below goes straight to it.
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NYC Comptroller Calls for Anthropic to Pause IPO for AI Safety
Anthropic PBC should pause its initial public offering until it has fully addressed risks around the safety, governance and pace of development of artificial intelligence, according to New York City’s…
Measuring AI Visibility: A Practical Framework for Reliable Results
As AI-powered search and assistants become part of how people discover brands, products, and information, developers and analysts face a new measurement challenge.
- Define observable signals: brand mentions, citations, recommendations, and accuracy.
- Establish a well-defined query set relevant to the evaluation's investigation.
- Explicitly state the chosen unit of analysis, such as individual responses or query-level metrics.
The AI Demo Worked. Here’s What Production Will Ask For.
The Demo Answered a Different Question Almost every AI initiative has a moment where the demo lands. The assistant answers the question, the extraction pulls the right fields, the agent completes the…
- Production requires consistent, reliable performance with real-world data
- Must maintain behavior during updates, protect data access rights
- Needs to comply with regulations, handle large data volumes
Before You Open Claude or Codex: Check Your Egress IP Risk
If you use Claude or Codex — or any AI product whose abuse systems lean hard on network signals — the path you use to log in matters.
- Verify current public IP address before authenticating with Claude or Codex.
- IP99 tool provides risk score and geolocation for egress IP assessment.
- Switch to quieter egress network if active high-risk evidence detected.
STAT+: ‘AI sandboxes’ are all the rage. Advocates scramble to control their future
In this edition of STAT's Health Tech newsletter: The groups vying to shape regulations that'd govern state AI sandboxes, and more.
Tech stocks tumble: What investors should watch as doubts grow over AI spending
Investors should look beyond companies’ spending announcements to how they actually make money from AI, analysts said.
- US tech stocks drop sharply amid AI spending doubts
- Nvidia, AMD, and others see significant declines
- Inflation data fuels concerns over Fed rate hikes