GUEST: The past few decades have seen almost unimaginable advances in compute performance and efficiency, enabled by Moore’s Law and underpinned by scale-out commodity hardware and loosely coupled software. This architecture has delivered online services to billions globally and put virtually all of human knowledge at our fingertips. But the next computing revolution will demand much […]
- Cohere's Command A Vision can read graphs and PDFs to make enterprise research richer and analyze the documents businesses actually rely on.
- To reflect democratic principles, AI must be built in the open. If the U.S. wants to lead the AI race, it must lead the open-source AI race.
- The Gemini 2.5 Deep Think released to users is not that same competition model, rather, a lower performing but apparently faster version.
- Amazon shares tumble as cloud growth lags rivals and AI investments fail to impress despite record spending on data centers.
- Uptime Institute’s 2025 survey reveals an industry grappling with AI demands, rising costs, power constraints, and efficiency plateaus as multiple challenges converge.
- OpenAI abruptly removed a ChatGPT feature that made conversations searchable on Google, sparking privacy concerns and industry-wide scrutiny of AI data handling.
- Arora explains this as a difference between searching for a path versus already knowing roughly where the destination lies.
- Intuit Mailchimp's experience with vibe coding reveals governance frameworks and tool selection strategies that enterprises can apply to avoid common AI coding pitfalls.


