What changed in AI today

• Minos has moved from an internal playground to a full preprint, blog post and open dataset, released alongside the episode.
• Leash says its DNA-encoded library data could support tens of thousands of lab-in-the-loop simulations for agent training.
• Hermes, trained only on Leash's own data, reportedly keeps pace with Boltz on public benchmarks.
• An earlier Kaggle competition drew about 2,000 teams and roughly 4 billion measurements, and no team beat chance on an unseen library.

Why it matters for marketers: For AI and bio content teams, it offers a new open dataset for testing how agents reason about molecular structure and activity.

• 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.

• Announced Friday as "flows", a new multiagent orchestration feature built on Claude Managed Agents, presented at AI Engineer New York.
• Previously developers configured a coordinator and subagent roster; with flows, Claude writes an orchestration program that launches agents and manages information flow.
• Flows are available in Claude Console, and developers can still pass in pre-configured specialist sub-agents if they wish.
• Presenters said flows cost "much more" than a single agent but were "much more effective" at finding details; developers can set session budgets, not the model.

Why it matters for marketers: Teams running many agents should budget for higher token costs and use Claude Console graphing to audit what each sub-agent receives.

• Cache reads now cost $0.10 per million tokens on the Sonnet 5.5 API, according to ClaudeDevs.
• Standard input stays at $2 and output at $10 per million tokens.
• Anthropic estimates most agentic work becomes about 20% cheaper. Claude Code limits are unchanged.

Why it matters for marketers: Teams running agent workflows that reuse large cached context should re-run their API cost models, since cache reads drive the savings.

• Step 5 Preview costs $1 per million input tokens and $2.70 per million output tokens, per the sponsored item.
• Step 5 Preview reportedly scores near Claude Opus 5 (Medium) on Artificial Analysis's Intelligence Index, with a 1M-token context.
• Step 5 Preview is on OpenRouter and works in OpenCode, Kilo Code, Cline, omp and Hermes Agent; more integrations are planned.
• StepAudio 3 ASR ranks first in Artificial Analysis non-streaming transcription at 1.7% WER; Realtime ranks first in two conversational categories.

Why it matters for marketers: Teams building coding agents or budgeting for voice features can compare StepFun's per-token prices and benchmark rankings against current options.

• OpenAI published 722 manuscripts in 372 families in a public GitHub repo; the internal model itself stays unreleased.
• The results came from about 4,000 research problems, averaging roughly three hours of ChatGPT Pro thinking per result.
• Commentators report unverified claims, including faster-than-n log n integer multiplication and a 1994 elastic inverse problem result.
• An analysis estimates about 20% are disproofs or counterexamples, and some experts expect certain results may not survive scrutiny.

Why it matters for marketers: Content teams should treat AI math breakthrough claims as unverified until experts review the released manuscripts, and expect corrections or retractions.