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Topic: "content-moderation"
Thinking Machines' Tinker: LoRA based LLM fine-tuning API
qwen-235b-a22b sora-2 thinking-machines openai fine-tuning lora model-training api model-optimization distributed-training post-training-methods research-productivity video-generation content-moderation engagement-patterns karpathy lilianweng sama
Thinking Machines recently raised $2 billion without shipping a product until now, launching their first product Tinker, a managed service API for fine-tuning large and mixture-of-experts models like Qwen-235B-A22B using LoRA for cost-efficient training. The Tinker API offers low-level primitives for post-training methods and is supported by an open-source Tinker Cookbook library. Influential AI figures like Andrej Karpathy and Lilian Weng praised its design for reducing complexity and boosting research productivity. Meanwhile, OpenAI launched Sora 2, a video+audio model integrated into their consumer social app, sparking viral engagement and concerns over misuse and content moderation. Sam Altman emphasized the product's dual focus on delight and revenue alongside AGI research.
gpt-image-1 - ChatGPT's imagegen model, confusingly NOT 4o, now available in API
gpt-image-1 o3 o4-mini gpt-4.1 eagle-2.5-8b gpt-4o qwen2.5-vl-72b openai nvidia hugging-face x-ai image-generation content-moderation benchmarking long-context multimodality model-performance supercomputing virology video-understanding model-releases kevinweil lmarena_ai _philschmid willdepue arankomatsuzaki epochairesearch danhendrycks reach_vb mervenoyann _akhaliq
OpenAI officially launched the gpt-image-1 API for image generation and editing, supporting features like alpha channel transparency and a "low" content moderation policy. OpenAI's models o3 and o4-mini are leading in benchmarks for style control, math, coding, and hard prompts, with o3 ranking #1 in several categories. A new benchmark called Vending-Bench reveals performance variance in LLMs on extended tasks. GPT-4.1 ranks in the top 5 for hard prompts and math. Nvidia's Eagle 2.5-8B matches GPT-4o and Qwen2.5-VL-72B in long-video understanding. AI supercomputer performance doubles every 9 months, with xAI's Colossus costing an estimated $7 billion and the US dominating 75% of global performance. The Virology Capabilities Test shows OpenAI's o3 outperforms 94% of expert virologists. Nvidia also released the Describe Anything Model (DAM), a multimodal LLM for detailed image and video captioning, now available on Hugging Face.