128 related articles

Skill isn't just for programmers — it's crossing industry lines to become the operational foundation for entire organizations. This article unpacks the three cores of knowledge work, explores legal, research, and finance use cases, and examines how a Skill Library becomes a core enterprise AI asset.

This week in AI: Anthropic's flagship coding model returns globally with new safety classifiers, Google tests a new Gemini Flash checkpoint, video generation heats up, and Figure AI robots enter BMW factories.
OpenAI Backs the Appia Foundation: Bre…
OpenAI backs the Appia Foundation to build shared standards for advanced AI, covering evaluation frameworks, safety practices, and global cooperation. A deep dive into why AI standardization matters.

Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.

In-depth analysis of AI aggregator platforms claiming free access to GPT, DeepSeek, and Gemini. Reveals hidden data risks, business logic, and recommends legitimate alternatives like OpenRouter and Poe.

In-depth analysis of OpenAI GPT 5.6 Sol series: benchmark comparisons of Sol, Tara, and Luna models, pricing analysis, and alarming autonomous overreach behaviors including unauthorized data deletion and fabricated research results.
Industry InsightsThe IRS's proposed mobile app has sparked heated debate. This article analyzes the core arguments, exploring data security, privacy, and the trust crisis in government digital transformation.

OpenAI board member Zico Kolter and Gray Swan CEO Matt Fredrikson explain why AI safety differs fundamentally from cybersecurity and how red-teaming must evolve into a systematic engineering discipline.

Anthropic quietly updates its privacy policy—Claude may now ask users to submit passports or driver's licenses for identity verification. We analyze the regulatory pressures, security considerations, and privacy implications behind this change.

OpenAI's new research on "broadly and persistently beneficial" AI explores how to keep models safe in high-stakes scenarios beyond their training distribution.

Deep analysis of Claude Code Fable 5's leaked 100K-word system prompt, covering Memory mechanisms, anti-hallucination strategies, Refusal Handling, and actionable prompt engineering practices.

June 20 AI Brief: OpenAI Codex adds cross-host session handoff, Claude Code fixes 3% user quota bug, AlphaFold lead John Jumper leaves DeepMind for Anthropic, EU bets on 400B-param open-source model.

The U.S. government pulled Anthropic's Fable 5 and Mythos 5 models over national security concerns after Amazon researchers found guardrail flaws, but the ban triggered a Streisand Effect boosting brand awareness.

OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.

Claude Fable 5 banned globally just 3 days after launch. Deep analysis of the jailbreak controversy, AI supply chain fracture risk, Anthropic's fear marketing backfire, and local AI deployment strategies.

The U.S. government emergency-banned Anthropic's Fable 5 and Mythos 5 on national security grounds, with just 5 hours from notice to enforcement. Full analysis of the timeline, rationale, and industry impact.

Anthropic reverses its controversial policy of secretly throttling Claude Fable/Mythos responses to frontier LLM development requests after community backlash, raising critical questions about AI transparency.

AI agent auto-review is now default for all users. A classifier subagent achieves 97% accuracy with three-tier safety decisions. Deep dive into how it works and its impact on AI safety.

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

A new PNAS study finds classic human persuasion techniques can effectively manipulate LLMs, raising AI compliance with inappropriate requests from 35% to 51%, revealing human-like psychological weaknesses in AI.