Opinion: The economics of AI
As spending on data centres, power, and computing capacity surges, the question is no longer whether AI delivers value, but who will ultimately pay for it.
Tag: Artificial Intelligence
AI-driven networking and infrastructure design at APNIC 62
Presenters at APNIC 62 explored how AI is reshaping network design and operations, from next-generation optical architectures to autonomous management systems, highlighting scale challenges and improved reliability, efficiency, and operational decision-making.
The case for open-weight models and why we can’t trust frontier labs
Guest Post: A frontier API can refuse, change, or vanish out from under you. Open weights keep the model you depend on yours.
The emerging role of AI in governance discussion
A growing debate within the IETF is exploring how AI-generated content should be used and disclosed in standards discussions.
Finding zero-days with any model
Guest Post: Vulnerability discovery is an orchestration problem, not a frontier-model problem.
Rising CVEs in the AI epoch
Vulnerability disclosures are rising sharply, but that does not mean risk is increasing. As AI-driven discovery floods defenders with more data but not more threats, success now depends on identifying what matters and acting faster.
Notes from NANOG 97
AI eats the world, geolocation, measuring IPv6, and the cost of SSH from NANOG 97.
Rethinking vulnerability management in the age of AI and CI/CD
Guest Post: AI-driven development is accelerating how software changes and how vulnerabilities are fixed. Traditional models like CVE and CVSS are struggling to keep pace.
Non-Human Identity for workloads: Securing the next phase of automation
Guest Post: Non-Human Identity is evolving as automation and AI increase machine-to-machine connections. Short-lived, key-based credentials address long-standing risks, but industry now needs clear assurance levels for workload identities. Collaboration will shape the next phase of NHI standards.
Level up your network engineering skills with LLMs
Guest Post: Practical tips, real-world examples, and the pitfalls of using Large Language Models for network management.