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Topic: "cloud-computing"
OpenAI updates Codex, VSCode Extension that can sync tasks with Codex Cloud
codex stepwiser gemini-2.5-flash nemotron-cc-math jet-nemotron openai facebook-ai-fair google-deepmind nvidia process-reward-modeling reinforcement-learning chain-of-thought spatial-reasoning multi-image-fusion developer-tools code-review ide-extension cli cloud-computing model-efficiency jaseweston tesatory benjamindekr tokumin fabianstelzer officiallogank
OpenAI Codex has launched a new IDE Extension integrating with VS Code and Cursor, enabling seamless local and cloud task handoff, sign-in via ChatGPT plans, upgraded CLI, and GitHub code review automation. Facebook AI researchers introduced StepWiser, a process-level reward model improving reasoning and training by chunk-by-chunk evaluation, achieving SOTA on ProcessBench. Google DeepMind's Gemini 2.5 Flash Image model showcases advanced spatial reasoning, multi-image fusion, and developer tools including a browser extension for image remixing. NVIDIA revealed efficiency data on Nemotron-CC-Math (133B) and Jet-Nemotron models.
GPT4o August + 100% Structured Outputs for All (GPT4o mini edition)
gpt-4o-mini gpt-4o-2024-08-06 llama-3 bigllama-3.1-1t-instruct meta-llama-3-120b-instruct gemma-2-2b stability-ai unsloth-ai google hugging-face lora controlnet line-art gpu-performance multi-gpu-support fine-tuning prompt-formatting cloud-computing text-to-image-generation model-integration
Stability.ai users are leveraging LoRA and ControlNet for enhanced line art and artistic style transformations, while facing challenges with AMD GPUs due to the discontinuation of ZLUDA. Community tensions persist around the r/stablediffusion subreddit moderation. Unsloth AI users report fine-tuning difficulties with LLaMA3 models, especially with PPO trainer integration and prompt formatting, alongside anticipation for multi-GPU support and cost-effective cloud computing on RunPod. Google released the lightweight Gemma 2 2B model optimized for on-device use with 2.6B parameters, featuring safety and sparse autoencoder tools, and announced Diffusers integration for efficient text-to-image generation on limited resources.