In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed […]
Category: AI
New ETH Zurich Study Proves Your AI Coding Agents are Failing Because Your AGENTS.md Files are too Detailed
In the high-stakes world of AI, ‘Context Engineering’ has emerged as the latest frontier for squeezing performance out of LLMs. […]
Judge: xAI can’t claim OpenAI stole trade secrets just by hiring ex-staffers
Hostility is not proof of theft Even twisting an ex-employee’s text to favor xAI’s reading fails to sway judge. Elon […]
The Galaxy S26 is faster, more expensive, and even more chock-full of AI
There used to be countless companies making flagship Android phones, but a combination of factors has narrowed the field over […]
Pete Hegseth tells Anthropic to fall in line with DoD desires, or else
The act gives the administration the ability to “allocate materials, services and facilities” for national defense. The Trump and Biden […]
Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs
The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits […]
Red Hat and Nvidia team up to build an AI factory for enterprise-scale AI
Red Hat has announced Red Hat AI Factory with Nvidia, a new co-engineered platform that combines Red Hat AI Enterprise […]
Meta AI Open Sources GCM for Better GPU Cluster Monitoring to Ensure High Performance AI Training and Hardware Reliability
While the tech folks obsesses over the latest Llama checkpoints, a much grittier battle is being fought in the basements […]
A Coding Implementation to Simulate Practical Byzantine Fault Tolerance with Asyncio, Malicious Nodes, and Latency Analysis
In this tutorial, we implement an end-to-end Practical Byzantine Fault Tolerance (PBFT) simulator using asyncio. We model a realistic distributed […]
Alibaba Qwen Team Releases Qwen 3.5 Medium Model Series: A Production Powerhouse Proving that Smaller AI Models are Smarter
The development of large language models (LLMs) has been defined by the pursuit of raw scale. While increasing parameter counts […]