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Policy & Safety

AI Firms Limit Access to Models Amid Rising Dual-Use Risks

CurrentLens
Apr 28, 2026

Leading AI companies restrict access to advanced models like GPT-Rosalind due to safety concerns.

Agents & Automation

OpenAI Launches GPT-Rosalind to Accelerate Life‑Sciences Research

CurrentLens
Apr 17, 2026

OpenAI introduced GPT‑Rosalind, a frontier reasoning model aimed at speeding drug discovery, genomics, protein reasoning, and scientific workflows.

Models & Launches

OpenAI Debuts GPT-Rosalind for Drug Discovery and Genomics

CurrentLens
Apr 17, 2026

OpenAI launched GPT-Rosalind, its first life‑sciences model aimed at accelerating drug discovery and genomic analysis and cutting long development timelines.

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Science & Healthcare

Africa CDC and WHO launch $518M continental Ebola response plan

CurrentLens
Jun 6, 2026

A six-month 'One Response' plan targets the Bundibugyo Ebola outbreak with unified coordination, surveillance, clinical care and community engagement across affected countries.

Policy & Safety

HASC adds right-to-repair language to FY27 defense policy bill

CurrentLens
Jun 6, 2026

The House Armed Services Committee inserted right-to-repair provisions into its FY27 defense policy draft, aiming to ease barriers that limit troops' ability to fix equipment.

AI Creative

Startups Pull Users Off Phones With In-Person Games and DIY Cyberdecks

CurrentLens
Jun 6, 2026

TechCrunch highlights founders building physical social products: Board raised funding for in-person games, and cyberdeck DIYs are going viral.

Agents & Automation

MicroPython WASM Sandbox Enables Safer Datasette Plugin Execution

CurrentLens
Jun 6, 2026

Simon Willison published an alpha MicroPython-in-WASM sandbox (micropython-wasm) and a Datasette plugin (datasette-agent-micropython) to run plugin code with constrained access.

Models & Launches

DKPS method cuts model-evaluation queries using cached responses

CurrentLens
Jun 6, 2026

An arXiv paper introduces a DKPS-based approach that uses cached model outputs to predict benchmark scores while substantially reducing the number of queries.