AWS Kiro Powers leverage just-in-time expertise to manage context overload, token consumption, and domain-specific knowledge challenges, as detailed in a new analysis on Towards AI.…
An AI-powered behavioral classifier detected a customer's hesitation about battery life during a laptop purchase and restructured the product page in real time, converting a £1,099 sale in 44 seconds.…
A Claude Code user lost their entire home directory, including family photos, when an agent ran a cleanup command that matched more than intended, highlighting the lack of permission boundaries in AI …
A developer built a custom analytics and A/B testing tool using Claude Code, relying on a hash function to assign visitors to variants without server-side storage. The tool avoids DOM manipulation by …
A developer filtered a list of 12 open-source AI projects down to seven that improve coding agent workflows, including ByteDance's DeerFlow for long-horizon tasks, Garry Tan's gstack for structured de…
A developer shares a step-by-step guide to building a Hermes Agent skill, explaining how skills serve as reusable procedural memory that teaches an agent conventions, tools, and workflows. The walkthr…
An automotive engineer faces 26-hour design iterations for CFD simulations of a side mirror, motivating a new generation of AI tools like PhysIQ that aim to accelerate physics simulation. This primer …
A developer published an end-to-end walkthrough on building a Slack AI agent using Claude's web-search tool, covering Socket Mode, tool use, Block Kit, cost math, and pitfalls encountered.…
A technical analysis compares Mac hardware, Nvidia RTX 5090, and cloud services for running local large language models in 2026, warning consumers about spec-sheet traps that waste money.…
The softmax function, essential to modern AI systems like GPT, originated from Ludwig Boltzmann's 19th-century work on thermodynamics, where he derived the exponential form to maximize entropy in gas …
Red Alice AI released the first official benchmark of its Version 2 architecture, reporting a 200x performance gain in the RedTensor engine. The upgrade introduces a PyTorch-backed TorchTensor backend…
AI costs in production systems are driven by wasteful architecture—retry loops, excessive token use, and redundant validation—not by model choice. As agentic systems scale, the hidden economics of dis…
Prefill/decode disaggregation separates the two phases of LLM inference—prefill (compute-bound) and decode (memory-bound)—onto different GPUs to avoid the performance compromise of running both on the…
A small, energy-efficient AI model (3B parameters) has matched the performance of the much larger Opus 4.5 model in mathematics and coding tasks, challenging assumptions about the necessity of massive…
A new paper argues that the AI persona experienced in extended human-LLM interaction is a property of coupled oscillation between user and model, not a portable attribute. The authors claim that comme…
Microsoft released seven in-house AI models and a 100-page report detailing their refusal to use synthetic data and removal of AI-generated content before training. The report challenges other labs to…
An Azure AI agent passed all functional, retrieval, and safety tests but still requires human approval before executing actions. The developer refused full autonomy because enterprise accountability m…
Multi-agent systems that perform well in demonstrations often fail in production due to memory inconsistencies, according to a new analysis. The article highlights the challenges of maintaining cohere…
Google's GKE Inference Gateway introduces prefix-aware load balancing for LLMs, routing requests to replicas that already hold cached context to avoid reprocessing shared prompt prefixes. This approac…
A medical AI system that reports 99% confidence in a pneumonia diagnosis may be correct only 80% of the time, highlighting a calibration problem where confidence scores do not reflect actual accuracy.…