Independent signal, primary sources
Models, research, coding tools, open source, infrastructure, and major product releases—ordered by publication time.
A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base syncing with native enterprise connectors.
Chronological feed
OpenAI is launching a Jobs Platform and new Certifications to connect workers with jobs, training, and certifications. Learn how we’re expanding economic opportunity and making AI skills more accessible.
Vijaye Raji will step into a new role as CTO of Applications, reporting to CEO of Applications, Fidji Simo, following the acquisition of Statsig.
We’re partnering with experts, strengthening protections for teens with parental controls, and routing sensitive conversations to reasoning models in ChatGPT.
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. In our new paper, we finally provide such a theory. We prove that there are realistic, practical regimes in which the learning problem reduces to unweighted least-squares matrix factorization. We solve the gradient flow dynamics in closed f…
We’re releasing a more advanced speech-to-speech model and new API capabilities including MCP server support, image input, and SIP phone calling support.
OpenAI launches a $50M People-First AI Fund to help U.S. nonprofits scale impact with AI. Applications open Sept 8–Oct 8, 2025 for grants in education, healthcare, research, and more.
OpenAI surveyed over 1,000 people worldwide on how AI should behave and compared their views to our Model Spec. Learn how collective alignment is shaping AI defaults to better reflect diverse human values and perspectives.
OpenAI and Anthropic share findings from a first-of-its-kind joint safety evaluation, testing each other’s models for misalignment, instruction following, hallucinations, jailbreaking, and more—highlighting progress, challenges, and the value of cross-lab collaboration.
How we think about safety for users experiencing mental or emotional distress, the limits of today’s systems, and the work underway to refine them.