Fable 5.1 Ships, OMP Model Roles, Seedance 2.5 — AI Daily Sep 1

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@jcartu, @thewildzeno, @basant
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Overview

Monday was dominated by Anthropic's surprise Fable 5.1 drop — builders reported dramatically faster inference, improved cache efficiency, and a less 'Claudish' tone, with most getting usage resets on rollout. Sentiment split: @sibunting and @tidemid called it fast and great for multitasking, while @dragodimitrov hit unexpected guardrail auto-demotes to Opus 4.8 and @arielletolome predicted a ~3-week honeymoon before nerfs. A system prompt leak surfaced within hours of launch. On the harness side, @thewildzeno delivered an extensive tutorial on OMP's model role system (SMOL, DEFAULT, SLOW, VISION, PLAN, DESIGNER, TASK, ADVISOR), clarifying the split between /model config, .omp/agent/agents files, and generic agents.md. Meanwhile @jcartu flagged Hindsight memory running ~$300/month driven by the Reflect procedure, and @archimorty shared concrete tuning tips (disable retainToolCalls, cap rerank candidates, per-project extraction profiles) to slash bills. Frustration with Fable slowness and Opus regressions pushed several builders toward Hermes despite its slower pace. Video gen matured further: @RayTGcontact shipped a Seedance 2.5 + Claude one-shot ad for a real addiction-treatment client, while builders compared Omni output quality and shared Franky Shaw's prompt template. Agent tooling kept advancing — @sibunting is running a CC/Fable orchestrator commanding OC/Sol ops agents to upgrade Hermes infra over Telegram, and @aa12on detailed a Grok-bot spy scanning Meta Ads Library, X and Reddit on a schedule. Trading agents (Hyperliquid, Tradovate, Alpaca), desktop automation (ZeroWork, Peekaboo), and a hardware-moat debate around FusionIO drives at 200k IOPS rounded out the day.

Topics

Anthropic released Fable 5.1 mid-day with notably faster TPS, better cache efficiency, and a less robotic tone. Most users got fresh usage resets, though some regions were skipped and guardrails auto-demoted to Opus 4.8 in edge cases. Reasoning feels similar to Fable 5, and a system prompt leak appeared within hours.

@thewildzeno walked through OMP's model role system — SMOL, DEFAULT, SLOW, VISION, PLAN, DESIGNER, TASK, ADVISOR — and clarified the split between /model config, .omp/agent/agents files, and agents.md. Recommendations: GPT 5.6 Luna xhigh for TASK workhorse, frontier + high reasoning for PLAN, and keeping harness-level instructions out of agents.md.

@RayTGcontact demoed Seedance 2.5 one-shots for a real addiction-treatment ad, with Claude handling research, captions and branding end-to-end. Builders compared Omni output quality, shared Franky Shaw's prompt template, and debated whether ComfyUI workflows change results. @aa12on recommended recursive judge loops with reference examples for consistency.

@jcartu praised Hindsight as state-of-the-art memory that seamlessly bridges OMP and Hermes sessions, but flagged Reflect as consuming 70-80% of his $300/month bill. @archimorty shared tuning tips: disable retainToolCalls in settings.json, cap reranking candidates, and use custom extraction profiles per project.

@sibunting is running a CC/Fable orchestrator commanding OC/Sol ops agents to upgrade Hermes infra entirely over Telegram, with Slack backup, and is exploring product-manager specialist agents on top of dev/QA/finance/security roles. @aa12on shared a Grok-bot spying agent that scans Meta Ads Library, X and Reddit on a schedule and feeds a creative-gen system.

Key Takeaways

  • Fable 5.1 is materially faster with better cache efficiency, but reasoning feels flat vs. Fable 5 — expect ~3 weeks before rate-limit nerfs kick in
  • Configure OMP model roles in .omp/agent files, not agents.md — GPT 5.6 Luna xhigh is a strong TASK workhorse and GLM 5.3 Flash covers vision/orchestration cheaply
  • Hindsight's Reflect procedure drives 70-80% of memory costs; disable retainToolCalls and cap reranking to slash bills
  • Seedance 2.5 + Claude research is a viable end-to-end SMB ad production stack — one builder shipped a 30s treatment-center ad with captions and branding in a single flow
  • Specialized micro-agents (dev, QA, finance, security, PM) coordinated by an orchestrator over Telegram is outperforming monolithic single-agent setups

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