TAG
#training
Stories connected through a shared idea, actor, technology or theme.
ScienceIDE turns scientific software into training environments for agentsScienceIDE uses expert-defined cases, acceptance criteria and verification to generate interaction trajectories for supervised fine-tuning, reinforcement learning and evaluation. The accompanying PhAI-IDE models show gains on selected scientific-code repair and general reasoning benchmarks.→Think launches hosted heterogeneous AI compute with Think GridEach initial SuperNode combines four NVIDIA PRO 6000 Blackwell accelerators with 384GB of pooled VRAM, networking, storage, cooling and support. The service is available to Saudi government and enterprise customers from Riyadh and is being rolled out globally for inference, training and agent workloads.→Hong Kong announces major AI upskilling programmeThe programme has already supported more than 200 activities and is expected to reach 50,000 people over two years. Hong Kong also renamed its Employees Retraining Board as Upskill Hong Kong.→Harvard Business School bootcamp offers AI avatars of instructorsA TechCrunch report said the programme combines live teaching with AI-generated instructor avatars for repeated practice and feedback. The deployment puts digital replicas of business-school instructors inside a paid educational product.→Marin begins a publicly tracked 535B-parameter open training runThe announced run uses 80% pretraining and 20% midtraining across an 18.75T-token mixture over roughly three months, with estimated compute of 2.7e24 FLOPs. Marin says its data mixture, sampled documents and live training loss will be available through GitHub and Weights & Biases.→Alibaba expects its second-generation T-Head AI chip to enter production this yearAlibaba CEO Eddie Wu said the second-generation T-Head chip is expected to begin tape-out and production in the second half of this year. TechNode reports that Alibaba expects stronger computing performance and interconnect bandwidth, and believes the chip can support large-model training workloads.→