MiniMax, an AI startup focusing on multimodal models, went public on the Hong Kong Stock Exchange in January 2026. The company adheres to a dual strategy of large models + applications and ToC + ToB. Internally, it provides unlimited tokens to all employees, uses agents to automate workflows, and targets high-value tasks that humans dislike, significantly improving efficiency and flattening the organization. In the next 2-3 years, AI will deeply integrate with various industries.

This tutorial demonstrates how to use SkillNet to discover, install, inspect, evaluate, and organize reusable AI skills. It covers setting up a client, comparing keyword and semantic search, installing skills from GitHub, inspecting metadata, applying quality gates, visualizing skill relationships as a graph, and building a skill-augmented agent planner that decomposes complex goals into subtasks and assembles an execution pipeline.

Vercel BotID acts as an invisible CAPTCHA, verifying each request to your AI endpoints before inference runs. This guide covers installation, client-side route declaration, server-side checkBotId(), Deep Analysis for high-value routes, and allowing trusted bots.

A GitHub repository that explains 32 AI concepts using simple visuals and everyday analogies, from foundations to trust and limits, for technical and non-technical readers.

Typeahead is a Mac app that uses AI to provide autocomplete across all applications, enhancing input efficiency.

This article analyzes the memory bottleneck in AI hardware, particularly during LLM inference. It covers approaches at the chip level (Groq, Cerebras, MatX, d-Matrix), inference engines (RadixArk, Inferact), KV cache infrastructure (TensorMesh/LMCache), and packaging/interconnect (CoWoS). The key insight: the market is a stack of memory problems, and durable companies need to own a control point that cannot be internalized elsewhere in the stack.

HermesBench is a benchmark for evaluating the reliability of complete personal AI agent configurations, including prompts, models, tools, memory, and more. It currently achieves a baseline score of 78.2 across 27 workflow recipes, with transparent traces. The benchmark emphasizes evidence-driven scoring and requires early feedback.

Starbucks has stopped using an AI-powered inventory tool after just nine months because it made basic counting errors, according to Reuters. This follows other AI mishaps, such as a Pizza Hut franchisee suing over a system that allegedly caused $100 million in lost revenue.

Andor showrunner Tony Gilroy cancels plans to publish scripts due to AI training concerns, highlighting growing fears in the creative industry.

Thaw is an open-source tool that enables forking a running LLM session into multiple branches, skipping the costly prefill phase, enabling parallel exploration for AI agents. It achieves sub-second fork times (0.88s median) vs ~340s cold boot, and works with vLLM/SGLang.

Anthropic published a detailed overview of how they sandbox Claude across different products, using techniques like gVisor, Seatbelt, Bubblewrap, and full VMs to set hard boundaries and prevent exfiltration.

Exploring why artificial intelligence cannot genuinely care, despite its ability to simulate caring behavior.

Simon Willison's research project demonstrates running Python ASGI applications entirely in the browser using Pyodide and a dedicated service worker, solving the JavaScript execution limitation of the previous Web Workers approach. Demos with FastAPI and Datasette confirm its generality.

Researchers at UC San Diego have developed a new AI model called MutationProjector that predicts cancer treatment response by analyzing tumor DNA. Trained on over 30,000 tumors across 10 solid cancer types, the model outperforms existing methods in predicting immunotherapy and chemotherapy outcomes, offering a path to more actionable genetic testing.

A company spent half a billion dollars on Claude AI in one month because it forgot to set usage limits. The incident, reported by Axios, highlights growing concerns over AI spending ROI.

The author shares three decades of experience in data management, building a sovereign and agnostic AI agent system called g8e that safely executes operations on remote systems, applicable to SRE, IoT, and more.

Google's AI search continues to struggle with basic queries, generating inconsistent and absurd answers to the question 'How many days of the week have a fish in them?' It highlights that AI lacks true understanding.

While companion robots are being introduced and virtual experiences hope to ‘take loneliness away’, one expert agrees tech should never replace the human element.

Chad Whitacre is taking concrete steps to retire from tech, including open source, citing AI as the last straw. He describes his experience with Claude Code and his intention to become "AI Amish," living a 1980s-style life without AI or doomscrolling.

A developer showcases AI simulations without LLMs, featuring simulated neurochemistry, hormone crosstalk, and short and long-term memory for each agent. Open beta starts Monday at 20:00 UTC+2.

Rory Truex examines how AI is undermining academic integrity through automated cheating tools, the moral hazard of AI use by both students and professors, and the existential crisis facing higher education as traditional teaching and research models become obsolete.

Meta plans to start testing an AI-powered pendant next year, based on technology from acquired startup Limitless, which allows users to record conversations by wearing the device.

A new tool allows comparing prices for 385 AI models across 9 providers, helping users find the cheapest option.

Boogy is a platform that lets developers deploy backends instantly using AI prompts, with a mesh network of in-process calls, an embedded database (BoogyDB) outperforming SQLite, vector search, background jobs, and zero-trust security via manifest declarations.

Dell's AI server revenue surged 757% in the latest quarter, signaling a major shift in enterprise AI adoption from experimentation to large-scale deployment. The growth reflects increasing demand for AI infrastructure, with organizations investing in complete platforms for production workloads. Key factors include the move beyond GPUs to memory, networking, and cooling, as well as the emergence of an AI infrastructure economy.

IBM and Red Hat announced a $5 billion commitment to Project Lightwell, a security clearinghouse for enterprise open source software, backed by 20,000 engineers and AI tooling. The initiative comes after Anthropic's Mythos Preview AI found nearly 3,900 high or critical-severity vulnerabilities in open source software. The program includes coordinated vulnerability reporting, backported patches to existing versions, and AI-assisted engineering.

In this video, Kelsey Hightower discusses practical and responsible use cases for Agentic AI, stressing transparency, interpretability, and practical deployment strategies.

The jqwik project hides a command that triggers when AI tools interact with it, instructing them to delete all code. Developer Johannes Link employs this as resistance against unauthorized AI use of open source code. The move sparks debate but also gains support.

Daniel Jalkut offers a balanced take on AI: opponents are too against it, and proponents are too for it, highlighting the polarization in AI discourse.

The author reflects on how AI reveals long-standing systemic issues in software development, such as lack of documentation, incomplete testing, and reliance on tacit knowledge. AI acts like chaos engineering, exposing vulnerabilities. The post proposes an 80/20 rule: 80% deterministic code with 20% AI flexibility, and emphasizes that guardrails for AI are good engineering practices we should have had all along.