A new open-source inference engine, TurboFieldfare, enables running Gemma 4 26B AI model on any M-series Mac with just 2GB RAM, using Swift and Metal.
Show HN: Open-source Engine Running Gemma 4 26B In 2 GB RAM On Any M-series Mac
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AI & Automation Basics
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SAP NOW AI Tour Tokyo – イベント・セミナー – Key Technology｜CTC – Ctc-g.co.jp
SAP NOW AI Tour Tokyo showcased the latest AI and digital transformation solutions from SAP, held at CTC, attracting industry professionals and tech leaders.
Kimi K3-256k
Kimi has announced the K3-256k, a new storage device with 256,000 terabytes capacity, aimed at enterprise and data center markets.
Unlocking AI Potential: How Two Key Settings Tripled Our ARC-AGI-3 Scores
OpenAI reports that activating two configuration settings on its model tripled scores on the ARC-AGI-3 benchmark, emphasizing evaluation setup sensitivity.
Vodacom, University Of Johannesburg And AWS Partner To Build South Africa’s AI Talent Pipeline – TechAfrica News
Vodacom, University of Johannesburg, and AWS have partnered to develop South Africa’s AI talent pipeline, aiming to boost local AI skills and innovation.
Kimi Linear: An Expressive, Efficient Attention Architecture (2025)
Kimi Linear introduces an efficient, expressive attention architecture for AI models, promising improvements in speed and interpretability. Details are emerging.
Import AI 466: The Bitter Lesson For Robotics, AIs Complete Week-long Programming Tasks; And OpenAI’s Accidental AI Hacker
AI newsletter Import AI 466 reports on a week-long AI programming event and a recent OpenAI security incident, raising questions about AI development and safety.
Now Is The Time To Give LLMs Access To The ACM Digital Library
Experts urge opening ACM Digital Library to large language models to advance research and AI development, citing potential benefits and ongoing discussions.
How Scientific Computing Is Evolving With Agentic AI Technologies
OpenAI releases a new publication on integrating agentic AI into scientific computing, but details on technical results and applications remain undisclosed.
How LFM2.5 Encoders Accelerate Long-Context AI Inference On CPUs
Liquid AI releases LFM2.5-Encoder models with 8,192-token support, claiming up to 3.7x faster CPU inference for long texts, pending independent validation.
