ByteDance, Tencent, MiniMax, Alibaba, and Xiaomi all cut AI token prices between 50% and 99% within the same competitive window. Bank of America Securities analysts attribute the pricing race to narrowing capability differences between China's major AI models. Alibaba's 50% discount on Qwen3.7-Max was tied to the 618 shopping event, blending AI competition with consumer promotions.

samtSQL enables you to run SQL queries enhanced with AI operators on your existing PostgreSQL database, supporting multimodal data including text, images, and audio.

AI doesn't make bad engineers good, it makes them fast. It amplifies existing traits rather than improving skills. For lazy or sloppy coders, AI accelerates output of low-quality code, and because AI itself tends to copy existing patterns without questioning, it perpetuates and scales tech debt.

AgentCard launches 'Buy' feature, enabling AI agents to order DoorDash using single-use virtual Visa cards. Works with Claude, ChatGPT, Cursor, and other MCP-compatible agents.

A cautious, nuanced case for AI optimism: why safety, interpretability, bias, and alignment matter as much as raw capability.

Large language models have moved from research labs into engineers' daily workflows. To help technical professionals stay ahead, IEEE offers a five-course online program that covers the engineering behind generative AI, from transformer architectures to deployment.

MIT researchers have developed a machine-learning approach that improves the accuracy of material simulations by constructing training datasets that capture the diversity of atomic environments in chemically disordered metal alloys, potentially accelerating materials discovery.

Summer is an open-source local tool by Autumn for tracking AI coding tool usage and spend. It supports Claude Code, Codex, and OpenCode, requires no hosting, and provides a local dashboard to aggregate usage across a team per developer, model, and cost.

A research team including Huawei has successfully used Ascend 910C chips to complete post-training of the DeepSeek-V4-Pro model, marking a milestone in China's ability to perform complex AI training with domestic hardware. The project, involving over 1,000 chips and a 1.6 trillion parameter model, demonstrates a shift from inference-only capabilities to full training, bolstering China's AI self-sufficiency amid US sanctions.

BestDefense continuously pentests every deploy, validates exploitable vulnerabilities, and generates AI-assisted fixes so high-compliance SaaS teams can patch real risks before remediation windows close.

In the Thinkbench benchmark, GLM 5.2 led in correctness (92% full-pass) while MiniMax M3 was cheaper and faster. They performed similarly on code modification tasks, but GLM was steadier on greenfield builds. MiniMax tended to build more complete systems with ambiguous prompts.

Inferlay is a platform that helps developers choose the appropriate AI technology stack for their projects by comparing various tools and frameworks.

PhD_fleet is a Python toolkit that lets a single researcher (advisor) spawn and converse with a fleet of Claude Code agents through Slack. Each agent has its own workspace directory, with Slack messages driving turns and the filesystem serving as long-term memory. A separate coach agent watches the advisor's mentoring and provides evidence-based feedback.

pm-claude-skills is an open-source library of 174 professional SKILL.md files for AI assistants, covering 18 professions. Each skill is eval-verified to produce professional-grade output usable as a first draft. Includes workflow recipes, skill memory, and cross-tool compatibility.

Checkmarx releases a new SAST engine combining a deterministic rules-based scanner, an LLM trained on security data, and a third engine to classify findings as true or false positives before they reach developers. The company claims an F1 score of 0.499, far above the category average of 0.20, and found 327 true positives missed by a leading frontier model. The architecture emphasizes orchestration, automatically running three engines together to provide determinism, language coverage, and noise filtering.

Qubot, our internal Copilot-powered analytics agent, allows any GitHub employee to ask questions about our data in plain language. Here's what we learned as we built it.

China-based memory manufacturers benefit from government guidance to prioritize local module, PC, and smartphone makers, while foreign suppliers chase AI margins, causing retail price hikes. This strategy supports local employment and industry stability.

Shoe company Allbirds pivoted to AI in April, sending its stock price up. The CEO of the new AI business admits he has no employees yet, only himself. Critics see it as a hype-chasing move akin to the GameStop meme stock strategy.

Despite a ~65% increase in AI usage, pull request throughput rose only 7.76%. This article reveals the perception gap and provides practical methods to measure true AI productivity using open-source tools.

As intelligence becomes a cheap commodity, trust is emerging as the real bottleneck for AI adoption. From accounting to healthcare, the key is human willingness to hand over decisions. Sovereign models, export controls, and job evolution all point to the same core: trust is the scarcest resource in the AI era.

GLM-5.2 is Z.ai's new open model with 744B parameters and 1M context window, achieving SOTA in coding, reasoning, and agentic tasks. This guide explains how to run it locally using Unsloth Dynamic GGUFs, covering hardware requirements, quantization, and step-by-step instructions for Unsloth Studio and llama.cpp.

Sovereign AI is about countries securing the entire AI supply chain, not just developing proprietary models. This reignites demand for GPUs and infrastructure as nations build their own AI capabilities. The focus shifts to controlling the supply chain from chips to data centers, benefiting a wide range of hardware and materials companies beyond just NVIDIA.

This article walks through 10 real ML system design interview problems in a practical style, covering key aspects like data collection, feature engineering, serving predictions, and system improvement. It details systems such as feed ranking, ad CTR prediction, e-commerce search ranking, and more, emphasizing a product-driven approach with offline/online paths and feedback loops.

Every AI tool you use should know how your company works.

Luca Guadagnino's film about OpenAI CEO Sam Altman, Artificial, has reportedly been dropped by Amazon MGM. The film covers the tumultuous five days in 2023 of Altman's termination and reinstatement, starring Andrew Garfield. Amazon has close ties to OpenAI, having invested $50 billion.

Amazon Bedrock AgentCore now includes a fully managed web search capability that grounds AI agents in current web data. It uses Amazon's own web index, offers privacy by keeping queries within AWS, and integrates via MCP with minimal code. This solves the problem of stale knowledge in agents.

This article explains how to integrate Adobe Marketing Agent with Amazon Quick using Model Context Protocol (MCP). It details the setup process, authentication, and validation with sample queries for audience rankings, loyalty segments, journey usage, and conflict analysis, enabling marketers to get campaign insights via natural language conversations.

SAP and Google Cloud have launched an agentic commerce architecture to automate multi-agent marketing and retail operations. The partnership addresses data fragmentation, using the Universal Commerce Protocol, Google Gemini integration, and bidirectional data flows to enable AI-driven customer experiences and inventory synchronization. The architecture aims to resolve common e-commerce failures such as out-of-stock issues and disconnected customer touchpoints.

A beginner-friendly guide to loss functions in machine learning, covering MSE, MAE, cross-entropy loss, and how they enable model improvement.

Sashiko, an AI code review tool written in Rust, spots 53% of bugs missed by human reviewers. It analyzes patches from mailing lists and provides feedback, though it requires sending code to an LLM provider. Currently funded by Google for the Linux kernel mailing list, it aims to ease maintainer workloads.