Kimi K2.6 introduces state-of-the-art coding capabilities, enhancing long-horizon execution and agent swarm functionalities, now accessible via multiple platforms including the API and Kimi Code.
GitHub's Fake Star Economy
A peer-reviewed study revealed 6 million fake stars across 18,617 GitHub repositories, with AI/LLM projects being the largest non-malicious category, highlighting a significant manipulation issue in the platform's popularity metrics.
Swiss AI Initiative (2023)
The Swiss AI Initiative, launched in December 2023, aims to accelerate open science in AI foundation models with over 10 million GPU hours and 20 million CHF in funding, making it the largest global effort of its kind.
Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving
Qwen operates across multiple domains, including qwen.ai and chat.qwenlm.ai, indicating a robust infrastructure for AI interactions and services. Link to article
The RAM shortage could last years
Memory makers are projected to meet only 60% of demand by 2027, with production needing a 12% annual increase, yet only a 7.5% rise is planned, indicating a significant shortfall in supply.
OpenClaw isn't fooling me. I remember MS-DOS
OpenClaw's approach to local AI agents risks repeating the security failures of MS-DOS, where a single token grants excessive access, highlighting the need for better architectural separation in agent design.
The Bromine Chokepoint
Bromine's critical role in semiconductor manufacturing, particularly in producing hydrogen bromide for DRAM and NAND chips, is jeopardized by geopolitical tensions in the Middle East, with South Korea relying on Israel for 97.5% of its bromine imports.
We got 207 tok/s with Qwen3.5-27B on an RTX 3090
Lucebox offers hand-tuned LLM inference optimized for specific GPUs, enhancing performance through tailored kernels and eliminating reliance on general-purpose frameworks.
Soul Player C64 – A real transformer running on a 1 MHz Commodore 64
Soul Player C64 is a 2-layer transformer model with 25K parameters running on a 1 MHz Commodore 64, showcasing real multi-head causal self-attention and softmax, all fitting on a floppy disk.
Kimi vendor verifier – verify accuracy of inference providers
The Kimi Vendor Verifier (KVV) project, launched with the Kimi K2.6 model, aims to ensure the accuracy of inference implementations in open-source models, addressing systemic issues identified through community feedback and performance anomalies.
Show HN: How context engineering works, a runnable reference
Context engineering is a systematic approach that treats context as a first-class engineering artifact, enabling AI systems to generate outputs that align with specific organizational standards and decisions, as demonstrated in the context-engineering repository.
Epicycles All the Way Down (2025)
LLMs function as pattern predictors, learning from vast datasets but often failing to grasp the underlying generative principles, leading to errors that resemble market crashes rather than intelligent reasoning.
What are the future prospects of Spiking Neural Networks (and particularly, neuromorphics computing) and Liquid Neural Networks?
Spiking Neural Networks (SNNs) and Liquid Neural Networks represent cutting-edge approaches in neural computing, promising enhanced efficiency and adaptability in processing temporal data.
SGOCR: A Spatially-Grounded OCR-focused Pipeline & V1 Dataset
SGOCR is an open-source pipeline designed to generate spatially-grounded, OCR-focused VQA tuples, addressing a gap in visual datasets for training vision-language models (VLMs) by providing rich metadata for diverse strategies.
On the path towards a true science of deep learning
The scientific method in deep learning hinges on two essential steps: figuring something out and adequately checking that it is not wrong, emphasizing the need for a structured approach to navigate the complexities of the field.