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Videos promising 'free access to all global AI models' hide serious risks: fake version numbers, data leaks, and phishing scams. Here's what you need to know.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.

A benchmark of 14 PDF parsers focused on Meaning Survival, not just character accuracy. Covers GPT, Mistral OCR, Azure DI, and key insights for RAG pipeline optimization.

A curated open-source repo of 500+ active AI research tools covers the full workflow—literature review, code reproduction, paper writing, and LaTeX formatting—potentially saving 80% of research time.

Carnegie's AFTEC database covers 1,034+ policy records across 54 African nations, revealing AI strategies, data sovereignty debates, and legislative gaps shaping Africa's algorithmic governance.

OpenAI's latest AI model solved the 50-year-old Cycle Double Cover Conjecture in under an hour. We break down the three-tier architecture, 64-agent workflow, and what this means for math.

AI "citation hallucination" threatens academic integrity—LLMs generate perfectly formatted but nonexistent references. This open-source MCP server verifies AI citations in real time against CrossRef, PubMed, and more, catching fakes at the source.

A comprehensive guide to preparing for the National Mathematical Modeling Contest: covering the essence of modeling, judging rules, topic selection, AI usage guidelines, and a four-day schedule to boost your chances of winning.

Georgia Senator Jon Ossoff has won broad party attention with his anti-corruption narrative and is seen as a potential 2028 Democratic candidate. But will the "please everyone" strategy repeat the fate of Rubio and Harris? An in-depth analysis.

Have an engineering or data background and want to transition to machine learning? This article covers data anonymization compliance essentials, knowledge base tech route selection (RAG/traditional ML/BI), and a phased practical learning path.

In-depth analysis of AI Agent core principles: why LLMs need Agent technology, the evolution from Prompt to RAG to Agent, Agent Tuning methods, and enterprise cost evaluation to help you build enterprise-grade agent applications.

An in-depth hands-on test of GPT's real-time voice feature, covering Cantonese and Sichuanese dialect recognition, emotional tone switching, complex role-play, and cross-voice contextual memory—objectively presenting the true level and remaining gaps of AI voice interaction.

An in-depth analysis of the zero-dependency decision record auditor: from AI compliance and incident postmortems to human-AI accountability, exploring how 'Governance as Code' enables traceable, transparent AI decision-making.
Embracing AI in the Classroom: A Teach…
One teacher chose not to ban AI but to co-create a classroom contract with students. This article examines the logic, contract design, and educational philosophy behind this teaching experiment.

OpenAI's flagship GPT-5.6 advances on three fronts—Sol, Kara, Luna tiered rollout; ByteDance CGN 5.0 Pro and Meta Muse push image generation toward controllable workflows; AI coding agents expose new supply chain risks.

In a federal copyright lawsuit, 20M ChatGPT conversations were produced for discovery. Plaintiffs now allege OpenAI destroyed data and applied 19 billion redactions to obstruct proceedings.

How to commit March ARR reviews to EMNLP while handling a May rebuttal, find missing justification fields in OpenReview, and avoid dual submission issues.

AI agents are breaking Git's core assumptions. Explore the three key challenges—concurrent conflicts, history readability, and code review—and where version control is headed next.