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Model: "qwen3.5-122b-a10b"
not much happened today
nemotron-3-super gpt-oss-120b qwen3.5-122b-a10b nvidia perplexity replit base44 vllm llama.cpp ollama togethercompute baseten wandb langchain unsloth model-architecture model-optimization inference-speed kv-cache multi-token-prediction agent-infrastructure orchestration persistent-agents model-serving product-launches karpathy ctnzr bnjmn_marie artificialanlys
NVIDIA’s Nemotron 3 Super is a 120B parameter / ~12B active open model featuring a hybrid Mamba-Transformer / SSM Latent MoE architecture and 1M context window, delivering up to 2.2x faster inference than GPT-OSS-120B in FP4 with strong throughput gains. It supports agentic workloads and is unusually open with weights, data, and infrastructure details released. The model scored 36 on the AA Intelligence Index, outperforming GPT-OSS-120B but behind Qwen3.5-122B-A10B. Community and infrastructure support from projects like vLLM, llama.cpp, Ollama, Together, Baseten, W&B Inference, LangChain, and Unsloth GGUFs was immediate. Key technical innovations include native multi-token prediction (MTP) and a significant KV-cache efficiency advantage.
On the product side, a shift towards persistent agent runtimes and orchestration layers is highlighted, with Andrej Karpathy advocating for a "bigger IDE" concept where agents replace files as the unit of work, enabling legible, forkable agentic organizations with real-time control. New launches fitting this vision include Perplexity’s Personal Computer, an always-on local/cloud hybrid running on Mac mini, and Computer for Enterprise orchestrating 20 specialized models and 400+ apps. Replit Agent 4 offers a collaborative, canvas-like workflow with parallel agents, while Base44 Superagents provide integrated solutions for nontechnical users. The engineering focus is increasingly on the orchestration harness rather than just the model.
Claude Code Anniversary + Launches from: Qwen 3.5, Cursor Demos, Cognition Devin 2.2, Inception Mercury 2
qwen3.5-flash qwen3.5-35b-a3b qwen3.5-122b-a10b qwen3.5-27b qwen3.5-397b-a17b gpt-5.3-codex claude-code alibaba openai anthropic cursor huggingface model-architecture reinforcement-learning quantization context-windows agentic-ai api websockets software-ux enterprise-workflows model-deployment awnihannun andrew_n_carr justinlin610 unslothai terryyuezhuo haihaoshen 0xsero ali_tongyilab scaling01 gdb noahzweben _catwu
Alibaba launched the Qwen 3.5 Medium Model Series featuring models like Qwen3.5-Flash, Qwen3.5-35B-A3B (MoE), and Qwen3.5-122B-A10B (MoE) emphasizing efficiency over scale with innovations like 1M context and INT4 quantization. OpenAI released GPT-5.3-Codex via the Responses API with enhanced file input support and faster web socket-based throughput. Anthropic introduced Claude Code Remote Control enabling terminal session continuation from mobile and expanded enterprise workflow features. Cursor shifted UX to agent demo videos instead of diffs, highlighting new interaction modes.