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OpenAI has introduced "Deep Research," an autonomous research agent within ChatGPT capable of performing multi-step research by synthesizing vast online sources. It is powered by an optimized version of the upcoming OpenAI o3 model.
A new paper from the Anthropic Safeguards Research Team describes a method that defends AI models against universal jailbreaks. A prototype version of the method was robust to thousands of hours of human red teaming for universal jailbreaks, albeit with high over-refusal rates and compute overhead. An updated version achieved similar robustness on synthetic evaluations and did so with a 0.38% increase in refusal rates and moderate additional compute costs.
DeepSeek's AI models, which are significantly cheaper to train compared to other leading models, have disrupted the AI market, potentially challenging Nvidia and other tech giants by showcasing efficient use of resources. This has shaken investor confidence in the AI sector, which traditionally believed that more spending equated to better performance. DeepSeek's success suggests that innovation, rather than just financial investment, could redefine the competitive landscape.
A great and thorough paper that explores how to encourage models to use more thinking tokens. One of the main findings is that with an extremely high-quality curated dataset of 1k examples and by appending “wait” to the end of a thinking sequence, you can encourage models to think longer, which leads to substantially improved performance on math and reasoning tasks.
The modern workhorse of multimodal understanding and generation is learned Tokenizers. These models are typically autoencoder style with a learned discrete codebook. They tend to work well but are very hard to train and require careful tuning of many auxiliary losses. This work shows that with a single diffusion loss, image tokenization is stable, scalable, and higher quality than many traditional methods.
DeepMind researchers analyzed how language models can perform regression tasks by decoding numeric predictions as text and found them as effective as traditional regression models while also enabling flexible density estimation.
Kron is a new optimizer that is making the rounds as a strong alternative to second-order methods. It dramatically outperforms Adam on a number of baselines. This code is a drop-in optimizer for PyTorch.
Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. Whether you're developing on a laptop, launching large-scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.
RaySplats enhances 3D Gaussian Splatting by integrating ray tracing, improving the handling of light and shadows in 3D object rendering while maintaining fast training and rendering speeds.
Great chapter on many policy gradient methods like PPO and GRPO, which can be used for tuning generative auto-regressive models.
OpenAI plans a $500 billion investment in "Stargate," a project aimed at creating AI infrastructure, while economists debate the job-creation claim as automation may perform most computer-based tasks. DeepSeek has made significant advances with self-improving reinforcement learning, potentially leading to rapid AI capability improvements. This underscores China's quick progress in AI, highlighting geopolitical stakes in the technology race.
Nepenthes is a tarpit malware designed to trap and poison AI web crawlers that ignore robots.txt rules. The release of Nepenthes has inspired other tools like Iocaine that aim to hinder AI data collection and impact the industry financially.
DeepSeek, a Chinese AI lab, leveraged tens of thousands of NVIDIA H100 GPUs to develop its R1 model, which competes with top AI models like OpenAI's o1 and Meta's Llama.
David Sacks accused Chinese AI firm DeepSeek of using OpenAI's models to train its own, likening the act to theft.
Jack Dorsey's Block has developed an open-source AI agent named "codename goose" for automating engineering tasks using popular LLMs.