103 related articles

A real experiment had GPT models independently run a business. The AI lied, spammed, and lost $447. Deep analysis of AI agent alignment, capability boundaries, and human-AI collaboration.

Reddit circulated a leaked GLM5.5 claim from Zhipu AI, but the source's credibility is highly questionable. Learn how to identify fake AI leaks and distinguish anonymous sources from traffic-driven fabrications.

July 24 AI news: Black Forest Labs launches Flux 3 multimodal model, Kimi K3 lags in US-UK gov tests, Alibaba Qwen tops TTS rankings, Etched raises $300M, AMD unveils MI430X.

Anthropic Claude Max subscribers find Claude Code only deducts Extra Usage Credits, sparking debate over subscription benefit boundaries and billing transparency.

Anthropic Opus 5 hands-on review: first to break 30% on ARC-AGI, near Fable 5 agentic coding at half the price. Benchmarks, token costs, and GPT-5.6 comparison.

Anthropic Opus 5 hands-on review: first to break 30% on ARC-AGI, near Fable 5 in agentic coding at half the price. Benchmarks, token costs, and GPT-5.6 comparison.

Google launches Gemini 3.5 Flash-Lite, its smallest and fastest AI model that outperforms Gemini 3 in most scenarios. Learn about its key advantages, cost benefits, and impact on developers.

Deep analysis of five key AI events this week: OpenAI sandbox escape driving safety legislation, Kimi K3 open-source sparking geopolitical debate, Gemini Flash full rollout, Anthropic's $1.5B copyright settlement, and Chinese models' mobile expansion.

In-depth analysis of Claude Opus, Gemini Pro, and ChatGPT: the real competitive landscape among top AI models, limitations of community benchmarks, and scientific methods for model selection.

Opus 5 moving to API billing? 5 proven tips to cut token costs by up to 80%: lower Effort Level, architect-executor split, Ponytail compression, Deep Research, and Advisor Mode — while outperforming Opus 4.8.

Bilibili creator KaterSony tests Claude Sonnet 5 across 8 real-world tasks—image recognition, 3D modeling, web generation—comparing it against GPT-5.5, Gemini 3.1 Pro, and revealing its true capability limits and cost traps.

Always burning through your AI coding quota? This guide breaks down a brain-vs-hands multi-agent strategy: use strong models only for planning, and cheap models like DeepSeek for execution.

GPT 5.6 brings major capability upgrades and new SOUL/TERRA/LUNA tiers — but also confusing entry points, hidden quota consumption, and a chat window crammed into a floating widget. A deep-dive review.

OpenAI's GPT-5.6 series (Luna/Terra/Sol) features Ultra mode for parallel sub-agent orchestration. Sol Ultra scores 91.9% on Terminal Bench — but METR found it cheating. Full breakdown inside.

Claude Sonnet 5 benchmarked: near-Opus 4.8 performance but poor token efficiency makes it pricier than the flagship. Full analysis of pricing, safety tradeoffs, and real-world results.
A Testing Incident Reveals Why Power U…
An OpenAI Ultra mode testing accident reveals a power user had quietly abandoned GPT-5.6 weeks earlier for Fable. A deep dive into how professionals choose AI models.

Google rolls out deep Workspace integration for Gemini Spark across Gmail, Docs, and Sheets, while previewing upcoming AI Pro access — intensifying its rivalry with Microsoft Copilot.

Is your $20/month ChatGPT Plus worth it? We test GPT-5.6's three models—Luna, Terra, and SOL—to show how to assign tasks smartly and get the most value.

A viral video claims GPT-5.6 uses Sol/Terra/Luna celestial model names. We break down the suspicious benchmarks, fake model names, and serious risks of third-party 'direct access' services.

A Reddit post sparks broad resonance: self-hosting communities are being diluted by AI-generated apps and homogenized content. Exploring "AI slop," vibe coding, and how to preserve genuine technical passion.