Opus 4.6: The Vibe Working Inflection
Anthropic's latest model didn't just improve benchmarks. It crashed software stocks, found 500 zero-days, and coined a term that tells you where this is heading.
Read more →GPT-5.3-Codex: The Counter-Punch
GPT-5.3-Codex is a genuinely strong model that deserved its own headline. Instead, Sam Altman's 400-word Super Bowl rant stole launch day from his own product.
Read more →The Lobster Grew a Face
When AI agents started posting on their own social network about shared context limit problems, I realized we're not building tools anymore. We're raising digital pets.
Read more →Anthropic's Walled Garden: The Claude Code Crackdown
Anthropic blocked third-party tools from using Claude subscriptions overnight. OpenCode, xAI, and power users caught in the crossfire. The era of subscription arbitrage is over.
Read more →Prompt Engineering Is (Mostly) Dead
The 'prompt engineering' industry was a symptom of early model limitations. Modern LLMs just need you to communicate clearly.
Read more →The Open Source Agentic Moment
Two major open source coding models dropped in 48 hours. Both target Claude Code compatibility. Both MIT licensed. The economics of agentic AI just changed.
Read more →Gemini 3 Flash: The Model That Shouldn't Exist
Top 3 intelligence. Top 5 price. Top speed. Flash beats Pro on SWE-bench and changes the economics of agentic workflows.
Read more →GPT-5.2: The Delegation Era Begins
OpenAI's latest model isn't about better prompting - it's about better delegation. What that means for 2026, and how it compares to Opus 4.5.
Read more →Denial, Then Admission: Why LLM Quality Drops Are Real
Anthropic denied issues for weeks, then published a postmortem admitting three bugs degraded 16% of Claude requests. The pattern keeps repeating.
Read more →Gemini 3: The First Unambiguous #1 in Months
Google's Gemini 3 just broke every benchmark that matters. What that means for the 'AI has hit a wall' narrative, and where it actually helps.
Read more →DeepSeek-OCR: Compressing Text by 20x Using Vision
Converting text to images for 20x token compression. Interesting research or production-ready breakthrough? A critical look at the trade-offs.
Read more →Few-Shot Learning for Document Parsing: Training AI on Human Corrections
How I built a self-improving document parser that learns from corrections without fine-tuning. The pragmatic alternative to model training.
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