All tags
Company: "deepseek_ai"
DeepSeek V3.2 & 3.2-Speciale: GPT5-High Open Weights, Context Management, Plans for Compute Scaling
deepseek-v3.2 deepseek-v3.2-speciale gpt-5-high sonnet-4.5 gemini-3-pro deepseek_ai lm-arena agentic-ai reinforcement-learning large-context-windows model-benchmarking model-performance multi-agent-systems model-training model-deployment suchenzang teortaxestex
DeepSeek launched the DeepSeek V3.2 family including Standard, Thinking, and Speciale variants with up to 131K context window and competitive benchmarks against GPT-5-High, Sonnet 4.5, and Gemini 3 Pro. The release features a novel Large Scale Agentic Task Synthesis Pipeline focusing on agentic behaviors and improvements in reinforcement learning post-training algorithms. The models are available on platforms like LM Arena with pricing around $0.28/$0.42 per million tokens. Community feedback is mixed, praising the frontier reasoning capabilities but critiquing the chat UI experience. Key figures include Susan Zhang and Teortaxes who provided commentary on the release.
not much happened today
deepseek-r1-0528 o3 gemini-2.5-pro claude-opus-4 deepseek_ai openai gemini meta-ai-fair anthropic x-ai ollama hugging-face alibaba bytedance xiaomi reasoning reinforcement-learning benchmarking quantization local-inference model-evaluation open-weights transparency post-training agentic-benchmarks long-context hallucination-detection teortaxestex wenfeng danielhanchen awnihannun reach_vb abacaj
DeepSeek R1-0528 release brings major improvements in reasoning, hallucination reduction, JSON output, and function calling, matching or surpassing closed models like OpenAI o3 and Gemini 2.5 Pro on benchmarks such as Artificial Analysis Intelligence Index, LiveBench, and GPQA Diamond. The model ranks #2 globally in open weights intelligence, surpassing Meta AI, Anthropic, and xAI. Open weights and technical transparency have fueled rapid adoption across platforms like Ollama and Hugging Face. Chinese AI labs including DeepSeek, Alibaba, ByteDance, and Xiaomi now match or surpass US labs in model releases and intelligence, driven by open weights strategies. Reinforcement learning post-training is critical for intelligence gains, mirroring trends seen at OpenAI. Optimized quantization techniques (1-bit, 4-bit) and local inference enable efficient experimentation on consumer hardware. New benchmarks like LisanBench test knowledge, planning, memory, and long-context reasoning, with OpenAI o3 and Claude Opus 4 leading. Discussions highlight concerns about benchmark contamination and overemphasis on RL-tuned gains.
not much happened today
claude-3.7-sonnet claude-3.7 deepseek-r1 o3-mini deepseek-v3 gemini-2.0-pro gpt-4o qwen2.5-coder-32b-instruct anthropic perplexity-ai amazon google-cloud deepseek_ai coding reasoning model-benchmarking agentic-workflows context-window model-performance open-source moe model-training communication-libraries fp8 nvlink rdma cli-tools skirano omarsar0 reach_vb artificialanlys terryyuezhuo _akhaliq _philschmid catherineols goodside danielhanchen
Claude 3.7 Sonnet demonstrates exceptional coding and reasoning capabilities, outperforming models like DeepSeek R1, O3-mini, and GPT-4o on benchmarks such as SciCode and LiveCodeBench. It is available on platforms including Perplexity Pro, Anthropic, Amazon Bedrock, and Google Cloud, with pricing at $3/$15 per million tokens. Key features include a 64k token thinking mode, 200k context window, and the CLI-based coding assistant Claude Code. Meanwhile, DeepSeek released DeepEP, an open-source communication library optimized for MoE model training and inference with support for NVLink, RDMA, and FP8. These updates highlight advancements in coding AI and efficient model training infrastructure.
Is this... OpenQ*?
deepseek-coder-v2 llama-3-8b nemotron-4-340b stable-diffusion-3-medium deepseek_ai anthropic runwayml openai apple nvidia stability-ai luma-labs reward-tampering test-time-search mathematical-reasoning process-supervision fine-tuning on-device-ai video-generation cost-efficiency context-length coding image-understanding multimodality adcock_brett clementdelangue svpino
DeepSeekCoder V2 promises GPT4T-beating performance at a fraction of the cost. Anthropic released new research on reward tampering. Runway launched their Sora response and Gen-3 Alpha video generation model. A series of papers explore "test-time" search techniques improving mathematical reasoning with models like LLaMa-3 8B. Apple announced Apple Intelligence with smarter Siri and image/document understanding, partnered with OpenAI to integrate ChatGPT into iOS 18, and released 20 new CoreML models with LoRA fine-tuning for specialization. NVIDIA released Nemotron-4 340B, an open model matching GPT-4 performance. DeepSeek-Coder-V2 excels in coding and math with 338 programming languages and 128K context length. Stability AI released Stable Diffusion 3 Medium weights. Luma Labs launched Dream Machine for 5-second video generation from text and images.