11 AI stories explainx.ai reported on June 28, 2026, ranked by reader interest and grouped by topic. Each links to the full write-up with sources.
FDE interviews test a unique blend: can you write code AND run a client meeting AND debug a production issue on the spot? Here are 50 real questions across every round, with what good answers look like and the signals interviewers are scoring you on.
Dario Amodei helped decide not to release GPT-2 in full in 2019 because OpenAI feared misuse. Seven years later, he runs Anthropic, keeps Claude completely closed, and finds himself at the epicentre of the most heated open-source AI debate the industry has ever seen.
No ChatGPT wrote GTA 6's dialogue. But the AI inside it — Euphoria 2.0 nervous system simulation, emergent NPC behavior, procedural motion matching, volumetric water physics — is arguably more interesting. Here is what is actually running under the hood, and what to check before you pre-order.
Most AI agent failures aren't model failures — they're gate failures. Someone gave an agent write access, delete access, or send access without deciding upfront which of those actions required a human checkpoint. This guide gives you the framework to fix that.
Conversation history fills up context windows faster than anything else in agentic systems. This guide covers the four strategies for managing it — full retention, sliding window, summarization, and selective pruning — and when to use each.
Chinese tech firms and analysts warned in late June 2026 that the AI bubble is close to bursting — pointing to inflated GPU valuations, weak enterprise ROI, and a widening gap between AI infrastructure spending and actual revenue. Here's the full breakdown.
RAG is not just a retrieval problem — it's a context engineering problem. What you retrieve, how you inject it, and where it lives in the context window determines whether the model can actually use it. This guide covers the full pipeline from chunking to injection.
Pieter Levels spent almost a year coding solely on a VPS with Claude Code — no laptop open, overnight /goal runs, and live production edits with only two ~10-second outages. explainx.ai unpacks the manifesto, deploy evolution, security checklist, and when teams should refuse this pattern.
Bad tool definitions cause more agent failures than bad retrieval or bad prompts. This guide covers how to write tool schemas and descriptions that produce reliable tool calls — and how to minimize your tool surface so the model picks the right tool every time.
xAI's Grok 4.5 has entered private beta at SpaceX and Tesla, built on the 1.5T V9 foundation model with supplemental Cursor training data. Elon Musk says early evaluations show performance close to — and possibly exceeding — Anthropic's Claude Opus.
Chinese AI lab Zhipu AI has released a model that reportedly matches Claude Mythos' performance at finding security bugs — reigniting the debate on whether Chinese labs are closing the gap with Western frontier models.
In agentic systems, context engineering errors compound across every turn. This guide covers how to design the context window for multi-turn AI agents: from initial setup through tool output injection, context evolution, and recovery from failure states.
Most agent demos work once and fail in production. This guide covers the architecture of a real ai agent loop — triggers, state, executors, terminators, retry logic, checkpoints, and the human handoff decision framework — with working code patterns for all three.
Most developers stuff everything into CLAUDE.md and wonder why their agent context feels bloated. There is a three-layer system — rules, skills, and live connectors — and most people only know one layer. This guide breaks down each layer, when to use it, and how to wire them together for a production-grade Claude Code setup.
Most people use Claude like a search engine — type a question, read the answer, close the tab. Claude Projects changes this entirely. Here is how to set one up for your specific role, with real examples for marketing, sales, HR, operations, and product management.
Both Claude and ChatGPT are capable AI tools. But for professionals who rely on them daily for writing, research, and complex tasks, they perform very differently. Here is an honest breakdown of which tool wins — and where — so you can stop guessing and start using the right one.
Prompt engineering fixes your wording. Context engineering fixes what the model sees. This guide draws the precise line, shows concrete examples of each in action, and maps out when to reach for which tool.
You have a 200-page PDF and you want to ask it questions in plain English. This step-by-step Langflow tutorial shows you how to build a working document Q&A bot in 30 minutes using drag-and-drop nodes — no code required.
Four serious tools now compete for the same territory: no-code and low-code AI workflow building. Langflow, n8n, Make, and Flowise are not interchangeable. This comparison breaks down what each tool actually does well, where each one falls short, and gives you a three-question framework to pick the right one for what you are building in 2026.
The explainx.ai skills registry is the canonical source for Claude Code and Cursor SKILL.md files. This guide explains how npx skills install works, what skills actually do, how to write your own, and how teams can use lockfiles to stay consistent in production.
Token cost isn't just a billing concern — it's a context quality signal. This guide covers how to plan token budgets before deployment, allocate them across context components, and monitor per-task cost to find and fix context inefficiencies.
Distillation is how you take a massive frontier AI and compress its knowledge into a smaller, cheaper model. It's one of the most powerful techniques in AI — and one of the most contested. Anthropic accused Alibaba of distilling Claude Fable 5 at scale using 25,000 fake accounts. Here's the full picture.
Tokenmaxxing borrowed Gen Z's "-maxxing" suffix and applied it to AI compute: the more tokens you burn, the more productive you look. By mid-2026, internal leaderboards at Meta and Amazon had collapsed under gaming and weak ROI. This guide explains the trend, the backlash, and how teams should measure AI impact without confusing inputs for outcomes.
Cloud World Model allows users to simulate cloud environments like AWS and GCP without incurring costs, making it ideal for testing.
Nada allows users to compose music effortlessly using just their voice, making music creation accessible to everyone.
RetroMac transforms your Mac into a nostalgic time machine, allowing users to experience classic Mac OS environments.
QApilot's CoWork enhances mobile automation capabilities, allowing teams to work more efficiently and collaboratively.
Folio AI transforms PowerPoint presentations by integrating advanced AI capabilities for enhanced design and content creation.
AI generates natively editable PPTX from any document.
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