OpenAI just made its first cybersecurity investment (3 minute read) OpenAI invested in Adaptive Security, a startup using AI to simulate and train employees against social engineering hacks. Adaptive Security secured $43M in Series A funding, with plans to bolster its platform amid growing AI threats. Co-founded by veteran entrepreneur Brian Long, the startup has quickly amassed over 100 clients since launching in 2023. | | Articulated Kinematics Distillation from Video Diffusion Models (18 minute read) This work introduces Articulated Kinematics Distillation (AKD), a framework that leverages skeleton-based animation and generative diffusion models to produce high-fidelity, physically plausible character motions with reduced complexity. It ensures structural consistency and outperforms existing methods in 3D coherence and expressive motion quality by using Score Distillation Sampling to guide joint-level control. | Backdoor Attacks in CLIP (19 minute read) CLIP models are highly vulnerable to poisoning backdoor attacks, achieving nearly 100% attack success with minimal poisoned data. An efficient detection method is to use local outlier detection to uncover unintentional backdoors in existing datasets. | | Large Small Net (GitHub Repo) A new family of lightweight vision models inspired by the dynamic heteroscale capability of the human visual system, i.e., "See Large, Focus Small". LSNet achieves state-of-the-art performance and efficiency trade-offs across various vision tasks. It introduces a new type of convolution kernel. | Pplx Cuda Kernels (GitHub Repo) Perplexity has released some of its MoE kernels, which outperform DeepSeek at scale while being slightly more flexible and less opinionated about the MoE architecture. | | Zonos TTS (8 minute read) A compelling Apache 2.0 model for speech generation and voice cloning. It has multi language support and expressive real time generation. | Google is shipping Gemini models faster than its AI safety reports (4 minute read) Google has launched an AI reasoning model, Gemini 2.5 Pro. The model leads in coding and math capabilities, but Google hasn't released safety reports yet. Google plans to publish these reports after collecting feedback from experimental releases, though this approach raises transparency concerns. Despite pledges for transparency, Google seems to prioritize speed in model deployments, diverging from industry norms for responsible AI practices. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of AI professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Andrew Tan, Ali Aminian & Andrew Carr | | | |
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