Ulysses Sequence Parallelism: Training with Million-Token Contexts
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Infrastructure
Entities: Infrastructure
Topic feed
AI chips, data centers, training systems, and inference infrastructure.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Infrastructure
Entities: Infrastructure
Three separate teams shipped models this week that cut token usage by nearly half through the same insight: the best inference is often no inference at all.
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
A Blog post by Photoroom on Hugging Face
Topics: Infrastructure
Entities: Infrastructure
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.
Topics: AgentsInfrastructure
Entities: AgentsInfrastructure
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.
Topics: Infrastructure
Entities: InfrastructureNVIDIA
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.
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI and Amazon announce a strategic partnership bringing OpenAI’s Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI agents.
Topics: ModelsAgentsInfrastructure
Entities: OpenAIModelsAgentsInfrastructure
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.
Topics: Infrastructure
Entities: InfrastructureNVIDIASoftBank
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.
Topics: ModelsAgentsInfrastructure
Entities: OpenAIModelsAgentsInfrastructure
SWE-bench Verified is increasingly contaminated and mismeasures frontier coding progress. Our analysis shows flawed tests and training leakage. We recommend SWE-bench Pro.
Topics: Infrastructure
Entities: Infrastructure
OpenAI for India expands AI access across the country—building local infrastructure, powering enterprises, and advancing workforce skills.
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
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.
Topics: AgentsInfrastructure
Entities: AgentsInfrastructure