What changed in AI today

• Walkthrough reports a novel antimicrobial peptide candidate with predicted activity against respiratory tract infection pathogens.
• The candidate, sought in Streptococcus pseudopneumoniae, is still undergoing wet-lab validation and is not yet confirmed.
• ProtNLM predicts biological function from raw amino acid sequences, targeting millions of unnamed UniProt entries.
• The new Biomolecular Structure Viewer lets researchers and the agent share and annotate 3D protein structures within Antigravity.

Why it matters for marketers: Content teams should expect science platforms to bundle database search, protein prediction and 3D visualization into one interactive workflow, shrinking research triage from days to a session.

• 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.

• Open model under Apache 2.0 license, 740 million parameters, built on the Gemma 4 architecture
• Code benchmark score rises from 68.76 to 78.68 on MTEB Code, per Google's reported results
• Context window of 8K tokens, up from 4x smaller in the first EmbeddingGemma
• Weights available on Hugging Face and Kaggle; Gemini Enterprise Agent Platform availability is coming soon

Why it matters for marketers: Content and app teams can build offline search over media libraries and video or audio clips without sending data to the cloud.