Autonomous Ad Agents, DeepSeek Flash, Anthropic Git — AI Daily Oct 15
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Overview
Topics
@rmktg detailed a production ad system generating images/copy autonomously and assembling video from pre-QA'd clip banks. ROAS is the only metric, CBOs run $300-800 with tiered pause thresholds, and killed ads above 1.0 ROAS get rolled into fresh campaigns to recover from attribution lag. Grok 4.7 is primary for copy, Claude in testing.
@miyamotaz reported DeepSeek Flash via OpenRouter handling a 16k-word multi-agent research report in 15 min for ~$0.15. @jcartu is running Astra as an ultra-fast Hermes orchestrator across rotating seats, while @Anonymoushat moved back to Claude for long-horizon intent. @samb69 confirmed Flash holds up on long multi-turn creative tasks.
Anthropic published their rebuild of Git to handle Claude's merge volume. @thewildzeno pushed back on the 300 merges/day flex — asking where the code actually ships — and proposed 'meaningful fix/feature per day' as a better metric. @Uziarbiv and @ConnectCallPartners read it as a signal of much bigger infra ambitions.
@jrizzolo hit Orca killing worker sessions overnight on a 32GB Linux VPS. Consensus: 32GB is bare minimum, 96-128GB recommended for heavy agent loads. OMP surfaced as a must-have unlock, routing across Claude, Codex, and Grok plans concurrently with auto-switching when accounts anonymous out — critical for 24/7 agent runs.
Jev shipped image input — @justingacina benchmarked it at 98% vs Claude's 99% across 150 swipe-file images for 3 cents total. @Anonymoushat hyped Subquadratic as '10x Jev' with 384K context, ~1s decisions over 100K tokens, and $0.05/M input tokens. Meta also dropped a new open-weight model @samb69 claims is Sol 6.1 level.
Words worth knowing
Three terms from the glossary.
Key Takeaways
- ROAS-only optimization with aggressive early kills and dead-ad revival beats over-engineered attribution — let CBOs sort winners.
- DeepSeek Flash on OpenRouter (sort by throughput) is a serious cost/speed unlock — 16k-word multi-agent runs for ~$0.15.
- Running many agents in Orca needs 96-128GB RAM minimum; 32GB will silently kill worker sessions overnight.
- OMP enables parallel Claude + Codex + Grok plan use with auto-switching — essential for overnight agent runs.
- Jev's multimodal is nearly Claude-grade for image classification at a fraction of the cost (~$0.02/100 images).
Hot Threads
Autonomous ad agent architecture, CBO thresholds, and ROAS-driven workflows
DeepSeek Flash speed and cost for multi-agent flows
Orca killing worker sessions — RAM requirements for agent fleets