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Not every new model is all it's cracked up to be. Our tracker keeps each release in context with its peers, so you know which models are worth your time.
Problem The longer a Claude Code session runs, the worse the model’s judgment gets. Anthropic calls it “context rot.” In one dissected 70 MB session dump, 93 % was noise: redundant JSON envelope metadata, stale tool results, old base64 screenshots. Only 3 % was actual conversation. Clouded judgment
My RAG pipeline looked fine on paper. Fast retrieval. Decent cosine scores. But when I tested it with real queries, the top results were always a little off. Documents that shared vocabulary with the query kept showing up instead of documents that actually answered it. The model was doing its job. T
I've been building AI infrastructure for a few years now. Here's something I learned the hard way: your choice of model provider matters way more than your choice of architecture. The data I've collected: Model Country Input Output Annual @ 50M tok/day GPT-4o US $2.50 $10.00 $182,500 Claude 3.5 US $
Look, I didn't plan this. I was building a side project — an AI writing assistant for my blog — and my OpenAI bill was $300/month before I even launched. For a side project with zero users. That's insane. So I got curious. What else is out there? And honestly? The answer surprised me. Chinese AI mod
If you’ve only been paying attention to OpenAI and Google’s AI offerings in recent years, you’re missing half the story. As of May 2026, China’s AI ecosystem has completed a dramatic pivot from the 2023-2025 “model war” of racing to build ever-larger parameter models to an “agentic revolution” focus
Reallusion, the 3D animation software company behind iClone and Character Creator, has launched AI Studio, a production platform that pairs traditional 3D scene-building with generative AI video models. The centrepiece is a direct integration with ByteDance’s Seedance 2.0, currently the top-ranked A
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Gemma 4's most interesting model isn't the 31B flagship. It's the 26B A4B — a Mixture-of-Experts model that activates only 4 billion parameters per token while delivering performance nearly identical to the dense 31B. If that sounds
DeepSeek did not disclose whether the permanent price cut was due to increased supply of Huawei's Ascend 950 chips, which it used to maximize V4's performance.
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Most developers think about context windows as "how much text can the model see at once." That's technically correct but misses the transformative capability: Gemma 4's 128K token context window enables entirely new workflows that w
