Industry

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Only Wed, September 23, 2026 · All dates →

Li Qiang Calls for AI to Propel Manufacturing

Chinese Premier Li Qiang, during a visit to an AI application testing base, said China should combine its manufacturing and digital technology strengths and build more manufacturing service platforms covering industrial design, pilot testing and intelligent maintenance. These would help firms, especially SMEs, upgrade operations more efficiently and at lower cost.

South China Morning Post ·

Russian AI resale gateways charge up to 3.6x official rates

After SWIFT sanctions cut Russian developers off from buying OpenAI and similar services, they turned to resale gateways using proxy accounts and foreign cards to reach frontier AI. The piece says AITUNNEL prices Claude Sonnet 5 at roughly 2.4-3.6x the official-exchange-rate equivalent, with similar markups on the pricier Claude Fable 5.1, an access premium rather than a simple token markup.

Hacker News ·

AI 'creating, not cutting' jobs in Newport

BBC reports that AI is creating, not cutting, jobs in Newport, Wales. Semiconductor companies like IQE benefit from AI data center demand, with the South Wales compound semiconductor sector supporting 3,140 jobs in 2025, up 14% from 2,748 in 2024, with average salaries around £66,000. The UK AI minister says Wales must reindustrialise for an AI future.

BBC ·

Play social multiplayer games against frontier AI models

A Reddit user shared a platform where players can compete against frontier AI models in social multiplayer games like poker, Risk, and Diplomacy. Players can talk to the AI and change strategies and outcomes, adding interactivity and fun.

r/MachineLearning ·

Simulating fault tolerance with stage skipping in pipeline-parallel training

Templar team simulated stage-skipping fault tolerance in pipeline-parallel training on the Crucible distributed pre-training platform. With a 178M model, eight replicas, and four stages per replica, validation loss stayed close to the no-failure baseline at 1% per-replica failure probability. Fixed projections shared across layers improve robustness, supporting training on unreliable compute.

r/MachineLearning ·

Understanding and Enhancing Kimi Delta Attention

A study compares the expressivity of Gated Deltanet and Kimi Delta Attention, proposing Complex KDA (CKDA). By extending gate range to [-1,1] and delta rule learning rate to [0,2], CKDA can express any orthogonal diagonal-plus-rank-one matrix and track S3, S4, and A5 groups, while being competitive with standard KDA on language modeling.

r/MachineLearning ·
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