All tags
Model: "kimi-delta-attention"
not much happened today
kimi-linear kimi-delta-attention minimax-m2 looped-llms aardvark-gpt-5 moonshot-ai minimax bytedance princeton mila openai cursor cognition hkust long-context attention-mechanisms agentic-ai tool-use adaptive-compute coding-agents performance-optimization memory-optimization reinforcement-learning model-architecture kimi_moonshot scaling01 uniartisan omarsar0 aicodeking songlinyang4 iscienceluvr nrehiew_ gdb embeddedsec auchenberg simonw
Moonshot AI released Kimi Linear (KDA) with day-0 infrastructure and strong long-context metrics, achieving up to 75% KV cache reduction and 6x decoding throughput. MiniMax M2 pivoted to full attention for multi-hop reasoning, maintaining strong agentic coding performance with 200k context and ~100 TPS. ByteDance, Princeton, and Mila introduced Looped LLMs showing efficiency gains comparable to larger transformers. OpenAI's Aardvark (GPT-5) entered private beta as an agentic security researcher for scalable vulnerability discovery. Cursor launched faster cloud coding agents, though transparency concerns arose regarding base-model provenance. Cognition released a public beta for a desktop/mobile tool-use agent named Devin. The community discussed advanced attention mechanisms and adaptive compute techniques.