AI TODAYEmail launch listFollow new AI models, software tools and product releases, with original reporting from the publishers covering them.
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OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
Read at OpenAI (opens in a new tab)Asana used OpenAI Codex to replace an outdated testing system in two weeks, with about $12K in model and infrastructure costs.
Read at OpenAI (opens in a new tab)Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
Read at OpenAI (opens in a new tab)Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster. Powered by Cerebras, it delivers up to 750 output tokens per second.
Read at OpenAI (opens in a new tab)
Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.
Read at Google DeepMind (opens in a new tab)
Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning...
Read at NVIDIA Technical Blog (opens in a new tab)
Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one...
Read at NVIDIA Technical Blog (opens in a new tab)OpenAI and AWS are making Daybreak cybersecurity capabilities available through Amazon Bedrock to support enterprise security workflows.
Read at OpenAI (opens in a new tab)
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Read at MIT News (opens in a new tab)
Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI...
Read at NVIDIA Technical Blog (opens in a new tab)A practical plan for an AI-assisted service, including a clearly hypothetical project budget, delivery checklist and ways to test customer demand.
A repeatable evaluation worksheet for usefulness, error rates, review effort, privacy and total cost, with a comparison against your existing workflow.
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