A deep dive into Kimi K2.7 Code from Moonshot AI: architecture, benchmarks, pricing, and how to put its 256K context and ...

Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...

Generating AI video used to feel like a calculated risk. Every prompt cost credits, every retry felt expensive, and creators often settled for the first acceptable clip instead of pushing for the best ...

Token minimizing is the fastest way to lower LLM costs and latency. Learn practical techniques: prompt trimming, compaction, ...

Return on tokens reframes how businesses measure AI value. Learn why counting tokens misses the point and how unit economics reveal true AI ROI.

Tokenmaxxing is one of the most revealing habits to emerge in the age of AI agents. The idea is simple. Use as many tokens as possible, automate more, prompt more, run more model calls, and signal ...

Building autonomous AI agents has, until recently, felt like assembling a fragile house of cards. You stitch together Python libraries, wrestle with dependency conflicts, and cross your fingers that ...

Hermes Agent targets a specific problem in the AI agent stack. Most assistants still operate as session tools. You open them, feed context, finish the task, and lose part of that context in the next ...

DeepSeek V4 represents a significant leap forward for the Chinese AI lab that gained global attention in early 2025. Here’s what we know about its expected innovations: DeepSeek V4 is being watched ...

If you tried to open Claude Code on Friday evening and got hit with a message saying claude-fable-5 no longer exists or you no longer have access, you weren’t imagining it. Anthropic pulled the plug ...