Build a Domain-Specific Embedding Model in Under a Day
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No snippet was provided by the source feed for "Build a Domain-Specific Embedding Model in Under a Day" — open the source link and write a short summary here.
Accelerates Codex growth to power the next generation of Python developer tools
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap.
OpenAI Japan announces the Japan Teen Safety Blueprint, introducing stronger age protections, parental controls, and well-being safeguards for teens using generative AI.
We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.
GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.
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A deep dive into why Codex Security doesn’t rely on traditional SAST, instead using AI-driven constraint reasoning and validation to find real vulnerabilities with fewer false positives.
What challenges are bioanalytical laboratories facing today? Watson LIMS version 7.7.2 is not a routine update. It is a strategic evolution—combining stronger security, enhanced compliance infrastruct
How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.
No snippet was provided by the source feed for "Rakuten fixes issues twice as fast with Codex" — open the source link and write a short summary here.
How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.
ChatGPT introduces interactive visual explanations for math and science, helping students explore formulas, variables, and concepts in real time.
IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks.
No snippet was provided by the source feed for "Introducing Storage Buckets on the Hugging Face Hub" — open the source link and write a short summary here.
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LeRobot v0.5.0 adds full Unitree G1 humanoid support (whole-body control models), new policies –including Pi0-FAST autoregressive VLAs and Real-Time Chunking for responsive inference–, and streaming v
No snippet was provided by the source feed for "Ulysses Sequence Parallelism: Training with Million-Token Contexts" — open the source link and write a short summary here.
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