129 related articles

Apple sues OpenAI and IO over hardware trade secret theft. Key figures include former VP Tang Tan and engineer Chan Liu. Full breakdown of supply chain infiltration, evidence, and implications.

Apple has formally sued OpenAI for industrial espionage, alleging systematic poaching of Apple employees to extract product secrets. Former 25-year Apple exec Tang Tan now leads OpenAI hardware. ~400 Apple employees have joined OpenAI.

A deep dive into Waku Agent's four pillars: Loop Engineering, three-tier Memory system, Eval assessment, and the Harness scaffold. Full walkthrough of a local-first AI assistant from task execution to memory consolidation.

OpenAI CEO Sam Altman owns ~8.7% of Reddit yet Reddit bans AI-generated content. Explore the conflict of interest, data monetization deals, and double standards.
Hassabis's AI Safety Blueprint: How De…
Demis Hassabis outlines a multi-layered AI safety framework covering technical alignment, institutional governance, and international cooperation for the AGI era.

GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.

Sam Altman publicly mocked Anthropic and Claude on X, calling their marketing "satire" and slamming access restrictions. A deep dive into the AI giants' PR war.

A $200/month AI subscriber on Reddit claims Deep Research was capped at 5 uses/day after a silent update. We analyze compute costs, silent downgrades, and how to choose premium AI plans wisely.

OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.

Instead of starting from scratch, feed 3-5 viral videos to AI to auto-analyze their structure, rhythm, and creative points, generating reusable custom style Skills. A full workflow guide with 20+ built-in vertical skills.

OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.

OpenAI merged Codex into ChatGPT, killing a developer-beloved AI coding brand. A deep dive into the gains and losses of this brand consolidation.

A fake Cook-to-Altman email screenshot leads to the real Silicon Valley history of secret no-poach agreements. This article analyzes the antitrust lawsuits of Apple, Google, and others, revealing compliance red lines in the AI-era talent war.

OpenAI releases GPT-5.6 (Sol/Terra/Luna), beating Anthropic on Terminal Bench at ~40% lower cost. But its cybersecurity capabilities hit danger thresholds, limiting access to trusted partners at government request.

OpenAI released three GPT-5.6 models—Sol, Terra, and Luna—covering everything from flagship reasoning to lightweight speed. A deep dive into their positioning, performance differences, pricing, and industry signals.

Meta laid off 8,000 to bet on AI, yet Zuckerberg admits AI agents fell short of expectations. A look at the collective 'AI reflection' among OpenAI, Microsoft, and Google, plus research on AI's selective impact on jobs.

Former Fed Chair Bernanke joins Anthropic's Long-Term Benefit Trust, marking AI governance's entry into the era of cross-disciplinary experts. A deep look at Anthropic's unique trust structure and its impact on responsible AI.

OpenAI's No. 2 executive Fidji Simo steps down from her full-time role after extended medical leave, at a critical juncture as the company prepares for an IPO and chases Anthropic in the enterprise market.

Sam Altman revealed GPT-5.6 boosts token efficiency 54% in agentic coding — meaning near-halved API costs, longer work chains, and faster responses. A deep dive into the technical implications for developers.

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.