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[ This week in AI ]

Week of May 4, 2026

The week's most significant primary-source updates, ranked across 20 stories from 6 labs. Every link goes to the original source.

  1. 01
    Provider mark for OpenAI OpenAI

    Running Codex safely at OpenAI

    How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.

    · Agents
  2. 02
    Provider mark for NVIDIA AI NVIDIA AI

    Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding

    Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits grep, curl, tar, or a shell pipeline is...

    · Agents
  3. 03
    Provider mark for NVIDIA AI NVIDIA AI

    Streaming Tokens and Tools: Multi-Turn Agentic Harness Support in NVIDIA Dynamo

    An agentic exchange must preserve a structured interaction: assistant turns interleave reasoning with one or more tool calls, and subsequent user turns return...

    · Agents
  4. 04
    Provider mark for OpenAI OpenAI

    Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber

    OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure.

    · Infra & hardware· Research
  5. 05
    Provider mark for OpenAI OpenAI

    Parloa builds service agents customers want to talk to

    Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.

    · Agents· Multimodal
  6. 06
    Provider mark for OpenAI OpenAI

    Advancing voice intelligence with new models in the API

    Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.

    · Multimodal· Tooling
  7. 07
    Provider mark for NVIDIA AI NVIDIA AI

    Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

    Model quantization is an effective method to reduce VRAM usage and improve inference performance on consumer devices such as NVIDIA GeForce RTX GPUs. By...

    · Infra & hardware
  8. 08
    Provider mark for Google DeepMind Google DeepMind

    AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields

    Explore how AlphaEvolve's Gemini-powered algorithms are driving impact across business, infrastructure, and science.

    · Agents· Infra & hardware
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