Conference talks worth your timeAI Engineer
Adrian Bertagnoli demos two systems: heterogeneous recursion maps LLM calls to different models and chips for 7-12x cost reduction on long-context tasks; visual web navigation mixes video-action-language models to outperform GPT-4 by 18% and Gemini 2.5 by 25%, routing simpler subtasks like zooming to smaller models for an 11x speedup.
DevOpsDays Zurich
Maria Henrika Peetz details how Google automated repetitive ticket triage by targeting only well-understood ticket types where high precision is achievable—fetching logs, checking monitoring—while ignoring the rest. Dry-run periods showed premature agent actions eroded trust, making precision the primary metric over speed or coverage.
GOTO Conferences
Rasmus Lystrøm contrasts vendor-cited efficiency claims against recent independent studies showing only 4% improvement, 57% of AI-assisted code involving bugs, and reasoning models performing worse on complex tasks. Also covers trust erosion from code quality degradation and GPT-4 training consuming energy equivalent to 6,000 US homes.
JFokus
Adam Tornhill presents research showing 2-3x task speed gains evaporate in weeks as AI-induced complexity accumulates. Covers three mitigations: MCP server health enforcement, mandatory 100% test coverage, and CLEAR architectural principles — plus evidence that healthy code cuts token consumption 29-50%.