What changed in AI today

• Super VL has 120 billion parameters, with 12 billion active per token, and handles text, images, documents and video.
• Nvidia claims it matches its largest model's accuracy at about one-fifth the parameters and scores 80.8% on CharXiv.
• Weights, datasets and training recipes are on Hugging Face; the 4GB Bolt E4B model has not shipped yet.
• Nvidia says every variant is optimized for its own hardware, so getting the most from Nemotron points toward its chips.

Why it matters for marketers: Content teams gain a self-hosted option for chart and document work without a separate vision model, though the performance figures are Nvidia's own claims.

• CopilotKit released CLiF, which turns agent traces and user actions into skills, evals, and fine-tuning data.
• Teams often write hundreds or thousands of evals by hand for the workflows that matter most.
• The source says agents built on models such as Fable and Astra still struggle with complex, end-to-end tasks inside a product.

Why it matters for marketers: Content and AI teams could generate evals and fine-tuning data from real agent usage instead of writing them by hand, though the source gives no pricing or availability.

• 24B total parameters with 2B active per token, built as a reasoning model that thinks before answering.
• Scores 48.09 on LiveClaw versus 38.19 for Qwen3.6-35B-A3B, a model with roughly 50% more parameters.
• Decodes 184 tokens/s on an Apple M5 Max and 114 tokens/s on a Ryzen AI Max+ 395, per the source.
• Open-weight and available on Hugging Face now; supports llama.cpp, MLX, vLLM, SGLang, and ONNX from day one.

Why it matters for marketers: Content teams building tool-using assistants can run a local agent model, but should pair it with retrieval or search for knowledge-heavy tasks.

• Available now via the API in AI Studio and Gemini platform, plus Google AI Ultra and Pro subscriber access in the Gemini app.
• Introductory pricing is $2 per million input tokens and $10 per million output tokens, with cached input 95% off.
• Google says Argon ranks #1 on the Vals Index, which measures performance across finance, coding, legal and tax work.
• Google reports Argon helped its own teams raise agentic code submissions by more than 35% in Antigravity.

Why it matters for marketers: Content and marketing teams using Gemini tools get a model Google positions for multi-step professional work, at a stated introductory price, though the Vals ranking is Google's own report.