Autonomous Laboratories & Experiment Systems

Evidence statusPrimary source · Product release

OpenAI moved the GPT-5.6 family—Sol, Terra and Luna—from limited preview to general availability. The release emphasizes higher capability per token, programmatic tool calling and a multi-agent ultra mode for difficult knowledge-work, coding, cyber and science tasks.

Evidence boundaryCapability, cost and benchmark comparisons are reported by OpenAI and should be read with the published evaluation methods and system card; performance can vary by harness, effort setting and workload.

Evidence statusPrimary source · Research

AutoLabs converts natural-language requests into executable liquid-handler protocols; its benchmarks indicate that modular agents and iterative self-correction can reduce experimental errors.

Evidence statusPrimary source · Standard

The voluntary code sets practical marking and disclosure measures ahead of EU AI Act transparency obligations applying from 2 August 2026.

Evidence statusPrimary source · Product release

NVIDIA introduced Vera as a CPU designed for agentic workloads, reinforcement learning and data processing, both as a standalone server processor and within Vera Rubin and storage systems. Major labs, cloud providers and system vendors were named as planned adopters.

Evidence boundaryAdoption statements describe partner plans, while the quoted x86 comparison is based on NVIDIA's specified benchmark configuration.

Evidence statusPrimary source · Product release

Claude Opus 4.8 improved coding, tool use, computer interaction and long-running professional workflows. Anthropic launched it with adjustable effort, lower-priced fast inference and a research-preview dynamic-workflows feature for large parallel-agent tasks.

Evidence boundaryDynamic workflows were a research preview rather than a generally available baseline feature; quoted customer results are not uniform third-party benchmarks.

Evidence statusPrimary source · Policy

UNESCO frames higher-education adoption around institutional readiness, faculty capacity, inclusion, governance and changing labour-market needs rather than technology procurement alone.

Evidence statusPrimary source · Product release

Figure announced a commercial agreement to deploy humanoids in Catalyst Brands' distribution and logistics network, beginning at a Reno facility. The planned use targets physically demanding supply-chain tasks and represents a move from laboratory demonstrations toward contracted operations.

Evidence boundaryThe announcement does not disclose fleet size, deployment date, safety evidence, throughput or commercial terms; operational outcomes remain to be demonstrated.

Evidence statusPrimary source · Research

OECD maps current AI capabilities across cognitive, social and physical domains to occupational requirements, creating an updateable exposure measure rather than a binary automation label.

Evidence statusPrimary source · Policy

Singapore's updated framework adds deployment cases and practices for multi-agent systems, third-party agents, automation bias, bounded autonomy and meaningful human accountability.

Evidence statusPrimary source · Research

A multi-agent system coordinates literature reasoning, hypothesis development, data analysis and experiment planning, showing how specialised agents can support expert-led discovery.

Evidence statusPrimary source · Research

Co-Scientist uses multiple Gemini-based agents to generate, debate and refine hypotheses; selected proposals in drug repurposing, liver fibrosis and antimicrobial resistance received wet-lab testing.

Evidence statusPrimary source · Product release

GPT-5.5 expanded OpenAI's frontier model line for agentic coding, professional knowledge work and scientific research, with a later API availability update on 24 April. The release also foregrounded inference efficiency and stronger cyber safeguards.

Evidence boundaryThe launch page combines vendor benchmarks and selected external evaluations; production results depend on task design, tool access and prompting.