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Model: "blip3-o"
not much happened today
kernelllm-8b gpt-4o deepseek-v3 mistral-medium-3 qwen3 blip3-o xgen-small anisora stable-audio-open-small alphaevolve meta-ai-fair mistral-ai qwen deepseek salesforce bilibili stability-ai google benchmarking model-performance multilinguality hardware-optimization multimodality image-generation video-generation text-to-audio model-parallelism chain-of-thought instruction-following reasoning mitigation-strategies reach_vb lmarena_ai theadimeline adcock_brett jxmnop dair_ai omarsar0
Meta released KernelLLM 8B, outperforming GPT-4o and DeepSeek V3 on KernelBench-Triton Level 1. Mistral Medium 3 debuted strongly in multiple benchmarks. Qwen3 models introduced a unified framework with multilingual support. DeepSeek-V3 features hardware-aware co-design. BLIP3-o family released for multimodal tasks using diffusion transformers. Salesforce launched xGen-Small models excelling in long-context and math benchmarks. Bilibili released AniSORA for anime video generation. Stability AI open-sourced Stable Audio Open Small optimized for Arm devices. Google’s AlphaEvolve coding agent improved Strassen's algorithm for the first time since 1969. Research shows chain-of-thought reasoning can harm instruction-following ability, with mitigation strategies like classifier-selective reasoning being most effective, but reasoning techniques show high variance and limited generalization. "Chain-of-thought (CoT) reasoning can harm a model’s ability to follow instructions" and "Mitigation strategies such as few-shot in-context learning, self-reflection, self-selective reasoning, and classifier-selective reasoning can counteract reasoning-induced failures".
ChatGPT Codex, OpenAI's first cloud SWE agent
codex-1 openai-o3 codex-mini gemma-3 blip3-o qwen-2.5 marigold-iid deepseek-v3 lightlab gemini-2.0 lumina-next openai runway salesforce qwen deepseek google google-deepmind j1 software-engineering parallel-processing multimodality diffusion-models depth-estimation scaling-laws reinforcement-learning fine-tuning model-performance multi-turn-conversation reasoning audio-processing sama kevinweil omarsar0 iscienceluvr akhaliq osanseviero c_valenzuelab mervenoyann arankomatsuzaki jasonwei demishassabis philschmid swyx teortaxestex jaseweston
OpenAI launched Codex, a cloud-based software engineering agent powered by codex-1 (an optimized version of OpenAI o3) available in research preview for Pro, Enterprise, and Team ChatGPT users, featuring parallel task execution like refactoring and bug fixing. The Codex CLI was enhanced with quick sign-in and a new low-latency model, codex-mini. Gemma 3 is highlighted as the best open model runnable on a single GPU. Runway released the Gen-4 References API for style transfer in generation. Salesforce introduced BLIP3-o, a unified multimodal model family using diffusion transformers for CLIP image features. The Qwen 2.5 models (1.5B and 3B versions) were integrated into the PocketPal app with various chat templates. Marigold IID, a new state-of-the-art open-source depth estimation model, was released.
In research, DeepSeek shared insights on scaling and hardware for DeepSeek-V3. Google unveiled LightLab, a diffusion-based light source control in images. Google DeepMind's AlphaEvolve uses Gemini 2.0 to discover new math and reduce costs without reinforcement learning. Omni-R1 studied audio's role in fine-tuning audio LLMs. Qwen proposed a parallel scaling law inspired by classifier-free guidance. Salesforce released Lumina-Next on the Qwen base, outperforming Janus-Pro. A study found LLM performance degrades in multi-turn conversations due to unreliability. J1 is incentivizing LLM-as-a-Judge thinking via reinforcement learning. A new Qwen study correlates question and strategy similarity to predict reasoning strategies.