Putting frontier cyber models in more trusted hands (opens in a new tab)
Approved Daybreak partners can use OpenAI’s frontier cyber models to deliver authorized, governed cybersecurity services to customers.
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Meet GPT-5.6-Cyber, OpenAI’s cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing.
Read at OpenAI (opens in a new tab)Approved Daybreak partners can use OpenAI’s frontier cyber models to deliver authorized, governed cybersecurity services to customers.
Read at OpenAI (opens in a new tab)
In simulated conversations, social hierarchy can sway AI agents, making lower-status systems more likely to follow harmful requests.
Read at Science News (opens in a new tab)WeatherNext enables accurate cyclone forecasts that can give an extra day of warning. Now we are open sourcing the model.
Read at Google DeepMind (opens in a new tab)OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.
Read at OpenAI (opens in a new tab)
Studies suggest AI can weaken learning when it replaces effort, but tools that guide rather than answer may help people keep their skills.
Read at Science News (opens in a new tab)
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...
Read at NVIDIA Technical Blog (opens in a new tab)GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.
Read at OpenAI (opens in a new tab)Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.
Read at OpenAI (opens in a new tab)
As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because...
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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