Meta FAIR, working with research teams from the University of Oxford and University College London, has introduced an AI Research Preference Model, or RPM, designed to sort candidate experiment plans before running expensive GPU-heavy tests. The idea is to let an AI research agent spend compute on the most promising options instead of trying every possible setup. The model comes in two versions: an inference-only variant and an agent-driven variant. Both use a frozen pretrained large model, Qwen3.6-27B. The team also open-sourced the related AIRA-dojo framework and the AIRS-Bench benchmark. On AIRS-Bench, RPM improved the average normalized score from 0.684 under random selection to 0.711 for the inference-only version and 0.729 for the agent-driven version. In efficiency terms, both variants reached the baseline model’s 24-hour performance level in about 15 hours, translating to roughly 1.5x to 1.6x speedup. The research also set new state-of-the-art results on the WinoGrande and SVAMP benchmarks, according to the summary published by Techub citing MarkTechPost.

NestWorks, a desktop CNC brand incubated within Elephant Robotics, has completed an angel and angel-plus financing round worth several hundred million yuan, according to the source article. Backers include Sequoia China, Lanchi Ventures, CDH Capital, Vertex Ventures and Unity Ventures, while Gaohu Capital acted as the exclusive financial adviser for subsequent fundraising. The company was formally established in November 2025, and its first product, the C500, raised more than $13 million on Kickstarter. The report says NestWorks built the product around its own in-house prototyping needs. The company wanted a machine that could sit in an office, cut aluminum alloy, stainless steel, brass and engineering plastics, and still be simple enough for engineers without formal CNC training to use. The C500 initially ships with an 800W spindle, up to 18,000 RPM, MQL lubrication, automatic tool changing and an intelligent tool management system. NestWorks argues the bigger opportunity is not only hardware, but also software and manufacturing knowledge. Its system connects model import, CAM generation, toolpath planning, simulation and machine execution in one workflow, with software and AI algorithms handling decisions that traditionally depended on operator experience. The company says desktop CNC will likely spread first through engineers, designers, research institutions and small-batch businesses before moving outward into broader user groups.

Bloomberg ETF analyst James Seyffart said the first prediction market ETFs could begin trading next week after a Roundhill filing showed a May 5 effective date for six election-linked funds.

XRP futures began trading on CME’s new crypto index framework with the standard contract at 1.1090 and the micro version at 1.1105. Early activity showed stronger volume in micro contracts than in standard lots.

NVIDIA’s build.nvidia.com platform offers free API keys for more than 100 models. New users get 1,000 credits, with the option to request up to 5,000 credits total under the free tier.

Meta stock dropped 23% from $796 high to $613 despite 33% Q1 revenue growth. $125B CapEx guidance spooks investors. 96% analysts rate Buy with avg target $828-$866. Analysis covers AI investment thesis, price predictions through 2030, and whether current pullback is entry point.

Meta stock has fallen 23% from its high to $613 due to $125B CapEx concerns. With 96% analyst Buy rating, 33% revenue growth, and AI investments yielding returns, the pullback offers a potential entry. Price targets suggest 37-41% upside.