PRX Part 3 — Training a Text-to-Image Model in 24h!
A Blog post by Photoroom on Hugging Face
Topic feed
AI chips, data centers, training systems, and inference infrastructure.
A Blog post by Photoroom on Hugging Face
Three separate security disclosures this week exposed a pattern: we are deploying agentic AI infrastructure faster than we can secure it, from MCP servers to coding assistants.
Hyperscalers committed $700 billion to AI data centres in 2026 while NVIDIA posted record revenue and memory chip shortages drive up consumer device prices globally.
Amazon's $50 billion investment buys exclusive cloud hosting for OpenAI's enterprise platform, creating a split-brain infrastructure that every builder on OpenAI needs to understand.
OpenAI and Amazon announce a strategic partnership bringing OpenAI’s Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI agents.
Today we’re announcing $110B in new investment at a $730B pre money valuation. This includes $30B from SoftBank, $30B from NVIDIA, and $50B from Amazon.
OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—showing potential to reduce NEPA drafting time by up to 15% and modernize infrastructure reviews.
SWE-bench Verified is increasingly contaminated and mismeasures frontier coding progress. Our analysis shows flawed tests and training leakage. We recommend SWE-bench Pro.
OpenAI for India expands AI access across the country—building local infrastructure, powering enterprises, and advancing workforce skills.
As AI agents become economic actors - negotiating, transacting, and making commitments - they'll need infrastructure we haven't built yet: verifiable identity, earned reputation, and enforceable accountability.
A Blog post by Photoroom on Hugging Face
A Blog post by LinkedIn on Hugging Face