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Introducing our V1 Video Model. It's fun, easy, and beautiful. Available at 10$/month, it's the first video model for *everyone* and it's available now.

Midjourney now does video, and, like Midjourney itself, its advantage is that it has features that allow you to create styles that are hard achieve with other video creation tools & feel less like standard video pastiche Here are a bunch of five second clips I made, for example.

Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32 million. Greycroft Kivu Ventures Khan M. Siddiqui, MD @psg_equity Fortitude Ventures Health2047 AMA Woojin Kim ow.ly/mlhK50WciBC

👍 A must-see if you're developing with AI

California is trying to regulate its AI giants — again A new California report highlights that companies do not fully understand the risks associated with AI technology. It calls for more transparency, third-party evaluations, and better safeguards to prevent potential harms

What Does "Attention" Mean in AI? The term attention gets thrown around a lot in conversations about AI, but it often carries assumptions from human psychology that don’t fully apply to how models work. So let’s unpack it — and look at where human and AI attention overlap, and

We're thrilled to announce our 2025 Informatics Fellow, Alysha Dhami, MD (Alysha Dhami, M.D.) — a PGY-5 Resident Physician at Stanford Radiology Residency. 🙌 🎊 #ACRRFS #RadRes #ACRDSI Paige Nierengarten, MSHI, BSRS (RT)(R)(MR) Tessa S. Cook MD PhD CIIP FSIIM FCPP FAAR Adam Prater Christoph Wald, MD Woojin Kim Bernardo Bizzo

AI is getting out of hand 😹 Kitty Olympics

🤔 Is there a Half-Life for the Success Rates of AI Agents? — Toby Ord A recent study shows that AI agents have an exponentially declining success rate as task duration increases, suggesting each agent can be characterized by a "half-life" of performance. While agents can

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? The "LiveCodeBench Pro" paper introduces a new benchmark designed to evaluate the algorithmic reasoning capabilities of Large Language Models (LLMs), specifically in competitive programming

🤖 According to Stanford University’s Social and Language Technologies (SALT) Lab, 70 million U.S. workers will experience their biggest workplace shift, powered by AI. Yet, we are not listening enough to the workers themselves. SALT’s national audit surveyed 1,500 workers

🤔 AbsenceBench: Language Models Can't Tell What's Missing AbsenceBench is a new test that checks if language models can find missing information in poetry, number sequences, and GitHub pull requests. The results show that even advanced models struggle with this task,

🤔 From Bytes to Ideas: Language Modeling with Autoregressive U-Nets The authors compare their new AU-Net model to several baseline models, including Transformers and Mamba, using the same data for a fair evaluation. They highlight AU-Net's strengths in character-level tasks

Looking to attend an AI-related session at the Annual Meeting? The SNMMI AI Task Force has organized several sessions discussing the role of artificial intelligence in nuclear medicine and molecular imaging. Check them out below, including one session featuring Woojin Kim

Woojin Kim AI sessions continued:

🤔 Apple's paper on Large Reasoning Models has been quite controversial... Apple's critique of #LRMs suggests they have limited reasoning abilities, but Anthropic argues this is due to flaws in Apple's testing methods. Anthropic claims that issues like token limits and

Excited to have Woojin Kim speak about #GenerativeAI in #MedicalImaging at the SNMMI Annual Meeting today (June 23) at 4:45 pm at the Intersections session! #AI #DeepLearning #Radiology

🤩 See the stunning first images from the Vera C. Rubin Observatory - MIT Technology Review buff.ly/kAlOfQv