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Person: "iscienceluvr"
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.
not much happened today
open-code-reasoning-32b open-code-reasoning-14b open-code-reasoning-7b mistral-medium-3 llama-4-maverick gemini-2.5-pro gemini-2.5-flash claude-3.7-sonnet absolute-zero-reasoner x-reasoner fastvlm parakeet-asr openai nvidia mistral-ai google apple huggingface reinforcement-learning fine-tuning code-generation reasoning vision on-device-ai model-performance dataset-release model-optimization reach_vb artificialanlys scaling01 iscienceluvr arankomatsuzaki awnihannun risingsayak
OpenAI launched both Reinforcement Finetuning and Deep Research on GitHub repos, drawing comparisons to Cognition's DeepWiki. Nvidia open-sourced Open Code Reasoning models (32B, 14B, 7B) with Apache 2.0 license, showing 30% better token efficiency and compatibility with llama.cpp, vLLM, transformers, and TGI. Independent evaluations highlight Mistral Medium 3 rivaling Llama 4 Maverick, Gemini 2.0 Flash, and Claude 3.7 Sonnet in coding and math reasoning, priced significantly lower but no longer open-source. Google's Gemini 2.5 Pro is noted as their most intelligent model with improved coding from simple prompts, while Gemini 2.5 Flash incurs a 150x cost increase over Gemini 2.0 Flash due to higher token usage and cost. The Absolute Zero Reasoner (AZR) achieves SOTA performance in coding and math reasoning via reinforced self-play without external data. Vision-language model X-REASONER is post-trained on general-domain text for reasoning. Apple ML research released FastVLM with on-device iPhone demo. HiDream LoRA trainer supports QLoRA fine-tuning under memory constraints. Nvidia's Parakeet ASR model tops Hugging Face ASR leaderboard with MLX implementation. New datasets SwallowCode and SwallowMath boost LLM performance in math and code. Overall, a quiet day with significant model releases and performance insights.
not much happened today
qwen3-14b qwen3-32b qwen3-235b phi-4-reasoning o3-mini command-a gemini-2.5-pro o4-mini olm-o2-1b o3 alibaba together-ai scaling01 microsoft deepseek cohere google epoch-ai-research inception-labs openai allenai quantization fine-tuning reinforcement-learning benchmarking video-generation diffusion-models model-performance model-evaluation model-release text-generation cline _philschmid iscienceluvr alexalbert__ _lewtun teortaxestex sarahookr reach_vb
Qwen model family released quantized versions of Qwen3 models including 14B, 32B, and 235B parameters, with promising coding capabilities in Qwen3-235B. Microsoft launched Phi-4-reasoning, a 14B parameter model distilled from OpenAI's o3-mini, emphasizing supervised fine-tuning and reinforcement learning, outperforming larger models in some benchmarks. Cohere's Command A leads SQL performance on Bird Bench. Google introduced the TRAJAN eval for video generation temporal consistency and updated the Gemini OpenAI compatibility layer. Inception Labs launched a diffusion LLM API claiming 5x speed improvements over autoregressive models. Community rankings show OpenAI's o3 model debuting strongly in web app-building tasks. Other releases include AllenAI's OLMo2 1B and additional Phi 4 variants. "Qwen3-235B shows promise for coding" and "Phi-4-reasoning tech report emphasizes SFT gains" highlight key advancements.
Qwen 3: 0.6B to 235B MoE full+base models that beat R1 and o1
qwen-3 qwen3-235b-a22b qwen3-30b-a3b deepseek-r1 o1 o3-mini grok-3 gemini-2.5-pro alibaba google-deepmind deepseek mistral-ai mixture-of-experts reinforcement-learning benchmarking model-release model-architecture long-context multi-agent-systems inference dataset-release awnihannun prince_canuma actuallyisaak oriolvinyalsml iscienceluvr reach_vb teortaxestex omarsar0
Qwen 3 has been released by Alibaba featuring a range of models including two MoE variants, Qwen3-235B-A22B and Qwen3-30B-A3B, which demonstrate competitive performance against top models like DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. The models introduce an "enable_thinking=True" mode with advanced soft switching for inference scaling. The release is notable for its Apache 2.0 license and broad inference platform support including MCP. The dataset improvements and multi-stage RL post-training contribute to performance gains. Meanwhile, Gemini 2.5 Pro from Google DeepMind shows strong coding and long-context reasoning capabilities, and DeepSeek R2 is anticipated soon. Twitter discussions highlight Qwen3's finegrained MoE architecture, large context window, and multi-agent system applications.
>$41B raised today (OpenAI @ 300b, Cursor @ 9.5b, Etched @ 1.5b)
deepseek-v3-0324 gemini-2.5-pro claude-3.7-sonnet openai deepseek gemini cursor etched skypilot agent-evals open-models model-releases model-performance coding multimodality model-deployment cost-efficiency agent-evaluation privacy kevinweil sama lmarena_ai scaling01 iscienceluvr stevenheidel lepikhin dzhng raizamrtn karpathy
OpenAI is preparing to release a highly capable open language model, their first since GPT-2, with a focus on reasoning and community feedback, as shared by @kevinweil and @sama. DeepSeek V3 0324 has achieved the #5 spot on the Arena leaderboard, becoming the top open model with an MIT license and cost advantages. Gemini 2.5 Pro is noted for outperforming models like Claude 3.7 Sonnet in coding tasks, with upcoming pricing and improvements expected soon. New startups like Sophont are building open multimodal foundation models for healthcare. Significant fundraises include Cursor closing $625M at a $9.6B valuation and Etched raising $85M at $1.5B. Innovations in AI infrastructure include SkyPilot's cost-efficient cloud provisioning and the launch of AgentEvals, an open-source package for evaluating AI agents. Discussions on smartphone privacy highlight iPhone's stronger user defense compared to Android.
not much happened today
grok-3 deepseek-r1 siglip-2 o3-mini-high r1-1776 llamba-1b llamba-3b llamba-8b llama-3 alphamaze audiobox-aesthetics xai nvidia google-deepmind anthropic openai bytedance ollama meta-ai-fair benchmarking model-releases performance reasoning multimodality semantic-understanding ocr multilinguality model-distillation recurrent-neural-networks visual-reasoning audio-processing scaling01 iscienceluvr philschmid arankomatsuzaki reach_vb mervenoyann wightmanr lmarena_ai ollama akhaliq
Grok-3, a new family of LLMs from xAI using 200,000 Nvidia H100 GPUs for advanced reasoning, outperforms models from Google, Anthropic, and OpenAI on math, science, and coding benchmarks. DeepSeek-R1 from ByteDance Research achieves top accuracy on the challenging SuperGPQA dataset. SigLIP 2 from GoogleDeepMind improves semantic understanding and OCR with flexible resolutions and multilingual capabilities, available on HuggingFace. OpenAI's o3-mini-high ranks #1 in coding and math prompts. Perplexity's R1 1776, a post-trained version of DeepSeek R1, is available on Ollama. The Llamba family distills Llama-3.x into efficient recurrent models with higher throughput. AlphaMaze combines DeepSeek R1 with GRPO for visual reasoning on ARC-AGI puzzles. Audiobox Aesthetics from Meta AI offers unified quality assessment for audio. The community notes that Grok 3's compute increase yields only modest performance gains.
X.ai Grok 3 and Mira Murati's Thinking Machines
grok-3 grok-3-mini gemini-2-pro gpt-4o o3-mini-high o1 deepseek-r1 anthropic openai thinking-machines benchmarking reasoning reinforcement-learning coding multimodality safety alignment research-publishing model-performance creative-ai mira-murati lmarena_ai karpathy omarsar0 ibab arankomatsuzaki iscienceluvr scaling01
Grok 3 has launched with mixed opinions but strong benchmark performance, notably outperforming models like Gemini 2 Pro and GPT-4o. The Grok-3 mini variant shows competitive and sometimes superior capabilities, especially in reasoning and coding, with reinforcement learning playing a key role. Mira Murati has publicly shared her post-OpenAI plan, founding the frontier lab Thinking Machines, focusing on collaborative, personalizable AI, multimodality, and empirical safety and alignment research, reminiscent of Anthropic's approach.
LLaDA: Large Language Diffusion Models
llada-8b llama-3-8b step-video-t2v-30b step-audio-chat-132b llama-2-7b stepfun-ai scale-ai cambridge llamaindex diffusion-models text-generation multimodality video-generation voice-processing benchmarking instruction-following model-scaling gpu-usage long-context multi-turn-dialogue arankomatsuzaki _akhaliq omarsar0 iscienceluvr gallabytes maximelabonne reach_vb
LLaDA (Large Language Diffusion Model) 8B is a breakthrough diffusion-based language model that rivals LLaMA 3 8B while training on 7x fewer tokens (2 trillion tokens) and using 0.13 million H800 GPU hours. It introduces a novel text generation approach by predicting uniformly masked tokens in a diffusion process, enabling multi-turn dialogue and instruction-following. Alongside, StepFun AI released two major models: Step-Video-T2V 30B, a text-to-video model generating up to 204 frames with high coherence and motion quality, and Step-Audio-Chat 132B, a voice-to-voice model. Additionally, challenging multimodal benchmarks like Scale AI's EnigmaEval and Cambridge's ZeroBench highlight current frontier models scoring zero, emphasizing the difficulty of these tasks. The community also noted the return of diffusion models in language modeling, a previously speculative architecture now scaled successfully.
not much happened today
gemini-2.0-flash-thinking-experimental-1-21 zonos openr1-math-220k huginn-3.5b deepseek-r1 o1 claude google zyphraai hugging-face anthropic deepseek openai vision multilingual-models text-to-speech voice-cloning math reasoning latent-reasoning chain-of-thought dataset-release fine-tuning model-training model-performance context-windows benchmarking jeremyphoward andrej-karpathy tom-goldstein reach_vb iscienceluvr
Google released Gemini 2.0 Flash Thinking Experimental 1-21, a vision-language reasoning model with a 1 million-token context window and improved accuracy on science, math, and multimedia benchmarks, surpassing DeepSeek-R1 but trailing OpenAI's o1. ZyphraAI launched Zonos, a multilingual Text-to-Speech model with instant voice cloning and controls for speaking rate, pitch, and emotions, running at ~2x real-time speed on RTX 4090. Hugging Face released OpenR1-Math-220k, a large-scale math reasoning dataset with 220K problems and 800K reasoning traces generated on 512 H100 GPUs. Tom Goldstein introduced Huginn-3.5B, an open-source latent reasoning model trained on 800B tokens that outperforms larger models on reasoning tasks like GSM8K. Discussions by Jeremy Howard and iScienceLuvr highlight advances in implicit latent reasoning and debate the future of human-readable reasoning traces. Anthropic launched the Anthropic Economic Index to analyze AI's economic impact using millions of Claude conversations.
not much happened today
oute-tts-0.3-1b oute-tts-0.3-500m olm-1b qwen-2.5-0.5b hover gpt-4o deepseek-v3 harvey meta-ai-fair stability-ai alibaba deepseek hugging-face text-to-speech zero-shot-learning multilinguality emotion-control motor-control reinforcement-learning local-ai distributed-inference pipeline-parallelism mathematical-reasoning process-reward-models legal-ai education-ai ai-security humor reach_vb drjimfan vikhyatk mervenoyann aiatmeta iscienceluvr alibaba_qwen awnihannun ajeya_cotra emollick qtnx_ designerx
Harvey secured a new $300M funding round. OuteTTS 0.3 1B & 500M text-to-speech models were released featuring zero-shot voice cloning, multilingual support (en, jp, ko, zh, fr, de), and emotion control, powered by OLMo-1B and Qwen 2.5 0.5B. The HOVER model, a 1.5M-parameter neural net for agile motor control, was introduced, leveraging human motion capture datasets and massively parallel reinforcement learning. kokoro.js enables running AI models locally in browsers with minimal dependencies. Meta AI awarded $200K LLM evaluation grants for projects on regional language understanding, complex reasoning, and interactive programming environments. Stability AI's Twitter account was hacked, prompting security warnings. Alibaba Qwen improved Process Reward Models (PRMs) for better mathematical reasoning using a consensus filtering mechanism. DeepSeek V3 uses pipeline parallelism to enhance distributed inference and long-context generation efficiency. Discussions on AI policy in legal frameworks and AI's role in democratizing education were highlighted. Lighthearted AI-related humor was also shared.
Moondream 2025.1.9: Structured Text, Enhanced OCR, Gaze Detection in a 2B Model
o1 vdr-2b-multi-v1 llava-mini openai llamaindex langchainai qdrant genmoai vision model-efficiency structured-output gaze-detection reasoning model-distillation multimodality embedding-models gan diffusion-models self-attention training-optimizations development-frameworks api cross-language-deployment semantic-search agentic-document-processing developer-experience philschmid saranormous jxmnop reach_vb iscienceluvr multimodalart arohan adcock_brett awnihannun russelljkaplan ajayj_
Moondream has released a new version that advances VRAM efficiency and adds structured output and gaze detection, marking a new frontier in vision model practicality. Discussions on Twitter highlighted advancements in reasoning models like OpenAI's o1, model distillation techniques, and new multimodal embedding models such as vdr-2b-multi-v1 and LLaVA-Mini, which significantly reduce computational costs. Research on GANs and decentralized diffusion models showed improved stability and performance. Development tools like MLX and vLLM received updates for better portability and developer experience, while frameworks like LangChain and Qdrant enable intelligent data workflows. Company updates include new roles and team expansions at GenmoAI. "Efficiency tricks are all you need."
not much happened today
ic-light-v2 claude-3-5-sonnet puzzle nvidia amazon anthropic google pydantic supabase browser-company world-labs cognition distillation neural-architecture-search inference-optimization video trajectory-attention timestep-embedding ai-safety-research fellowship-programs api domain-names reverse-thinking reasoning agent-frameworks image-to-3d ai-integration akhaliq adcock_brett omarsar0 iscienceluvr
AI News for 11/29/2024-12/2/2024 highlights several developments: Nvidia introduced Puzzle, a distillation-based neural architecture search for inference-optimized large language models, enhancing efficiency. The IC-Light V2 model was released for varied illumination scenarios, and new video model techniques like Trajectory Attention and Timestep Embedding were presented. Amazon increased its investment in Anthropic to $8 billion, supporting AI safety research through a new fellowship program. Google is expanding AI integration with the Gemini API and open collaboration tools. Discussions on domain name relevance emphasize alternatives to .com domains like .io, .ai, and .co. Advances in reasoning include a 13.53% improvement in LLM performance using "Reverse Thinking". Pydantic launched a new agent framework, and Supabase released version 2 of their assistant. Other notable mentions include Browser Company teasing a second browser and World Labs launching image-to-3D-world technology. The NotebookLM team departed from Google, and Cognition was featured on the cover of Forbes. The news was summarized by Claude 3.5 Sonnet.