Episode
ARC-AGI-3 leaderboard shock & Search as Code for agents - AI News (Jun 3, 2026)
- Podcast
- The Automated Daily
- Published
- Jun 3, 2026
- Duration seconds
- 560
- Processing state
not_requested- Canonical source
- https://theautomateddaily.com/episodes/2026-06-03-arc-agi-3-leaderboard-shock-search-as-code-for-agents
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Summary
Please support this podcast by checking out our sponsors: - Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily - SurveyMonkey, Using AI to surface insights faster and reduce manual analysis time - https://get.surveymonkey.com/tad - KrispCall: Agentic Cloud Telephony - https://try.krispcall.com/tad Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily Today's topics: ARC-AGI-3 leaderboard shock - A claim on X says “Opus 4.8” jumped the ARC-AGI-3 benchmark on the ARC Prize leaderboard, beating “GPT-5.5” by a large margin, but still far from human efficiency—raising fresh questions about generalization progress. Search as Code for agents - Perplexity’s “Search as Code” pitches agent-built Python retrieval pipelines in sandboxes using low-level primitives, aiming to cut tokens, reduce context noise, and scale wide research tasks. AI compute funding and capex - Alphabet is reportedly raising up to $80B via stock sales to expand AI compute capacity, underscoring how the AI arms race is pushing Big Tech into massive capex and dilution-sensitive financing. Export controls tighten on GPUs - The US Commerce Department updated guidance to block Chinese AI firms from buying Nvidia and AMD frontier chips through overseas subsidiaries, closing a key export-control loophole. NVIDIA pushes open world models - NVIDIA announced Cosmos 3 as an open multimodal “world foundation model” for robotics and physical AI, highlighting a push toward simulation, synthetic data, and interoperable world-model ecosystems. Open-weights models heat up - NVIDIA’s Nemotron 3 Ultra and the new open-weight Mellum 2 model show the open ecosystem accelerating on both intelligence and efficiency, intensifying competition across U…