curated · 2026-06-07

Tomiyasu’s case lands because it is not an “AI for agriculture” fantasy. It is one farmer using Codex as glue across 8 scrappy workflows: disease photos, NDVI checks, ESP32 curtain control, LINE bots, sowing counts, RTK-GPS cost study, and an Airtable database. I don’t buy the “super engineer” framing literally. Codex did not bring farm judgment, sensors, machinery, or local know-how. The sharp part is that the integration tax collapsed. Work that once needed a small SI vendor now gets hacked together by the domain expert who owns the problem. Vertical SaaS vendors should hate this pattern: the user bypasses sales first, then implementation.

Harness-1 is a shot at hand-built retrieval pipelines, not another query-rewrite trick. UIUC and Chroma trained a 20B subagent on gpt-oss-20b with reinforcement learning inside a stateful search harness. They report 0.730 average curated recall across 8 benchmarks, 11.4 points above the next open-source subagent, and behind only Opus-4.6. If that reproduces, a lot of bespoke RAG routing code starts looking brittle. I have one concern: the article gives the headline benchmark, not the ugly deployment details. Pricing, latency, private-corpus behavior, permission filtering, and failure cases are not given. That is where retrieval agents usually bleed.

Application teams are learning to cut model tax with routing and SFT, and frontier closed models are losing default status. Harvey moved Kimi 2.6 from 11% to 15% all-pass on a 100-task Legal Agent Benchmark slice, beating Opus at 14%. The cost gap was the punchline: $84 versus $954 for the same 100 tasks, roughly 11x cheaper. That is sharper than the usual “open source is good enough” line. It says vertical workflows can use post-training plus their own eval loop to drag cheaper models into the replacement zone. Coinbase says costs stayed roughly flat while token use grew exponentially. Lindy says it moved 100% of traffic to DeepSeek v4. I’d still haircut the Harvey claim: the article gives a 100-task slice, but not LAB contamination controls or fit to live legal workflows.