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News AI 15/26: Gemma 4 // Seadance 2.0 // Hermes Agent

·29 min·2 clips

Dennis and Philipp dive into Gemma 4.0's open-source release, Seadance 2.0's video generation controversy, and the new Hermes Agent framework.

The episode opens with hosts Dennis Becker and Philipp introducing the topics: Gemma 4.0, Seadance 2.0, and Hermes Agent. Philipp details Gemma 4.0's release, noting it's the successor to Gemma 3.0 with four model sizes, including E2B and 4EB variants. He explains it's multimodal, supporting text, video, audio, and image inputs, and runs natively on Android and iPhone via the Google AI Edge Gallery app. The models range from 2B to 31B parameters, with context lengths of 128,000 to 256,000 tokens, and are licensed under Apache 2.0. Philipp mentions benchmarks placing Gemma 4.0 competitively with models like QN 3.5 and Kimi. The discussion then turns to Seadance 2.0, ByteDance's video generation model that can produce 15-second clips with sound. Philipp notes it faced backlash from Hollywood in February due to copyright issues, as it could generate clips resembling famous actors and IPs like Marvel. ByteDance responded by fine-tuning the model to restrict such outputs, and it's now available via CapCut or Dreamina. Philipp shares an anecdote about a social engineering attack on Axios, where a fake startup cloned a Slack workspace, used fake profiles, and tricked a contributor into downloading ransomware via a Microsoft Teams link. The hosts reflect on the sophistication of such attacks and the challenges of defense. They then explore Hermes Agent, an MIT-licensed agent harness from Nuis Research, written in Python and research-oriented. Philipp compares it to OpenClaw, highlighting its focus on storing interactions as data for training models, integration with OLAMA, and support for open models like Gemma. The episode concludes with casual remarks on personal AI use, like Philipp using Pika for video clips, and plans for Google Cloud Next.

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