How to Get from AI-Assisted to AI Native
In his keynote at Ai4 2026, Tim O’Reilly explains why grappling with the bitter lesson is the forge of effective AI corporate strategy, as companies figure out what to embrace and what to let go of. Drawing on his recent conversations with Trail of Bits CEO Dan Guido, Tim argues that AI’s business impact actually hinges on organizational adoption—the hard, unglamorous work of restructuring workflows, data, and incentives around what AI can do. Trail of Bits has modeled that process and documented it in a playbook other companies can use.
- ▪In his keynote at Ai4 2026, Tim O’Reilly explains why grappling with the bitter lesson is the forge of effective AI corporate strategy, as companies figure out what to embrace and what to let go of.
- ▪Drawing on his recent conversations with Trail of Bits CEO Dan Guido, Tim argues that AI’s business impact actually hinges on organizational adoption—the hard, unglamorous work of restructuring workflows, data, and incentives around what AI
- ▪Trail of Bits has modeled that process and documented it in a playbook other companies can use.
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| Original publisher | O’Reilly Media |
| Canonical URL | https://www.oreilly.com/radar/how-to-get-from-ai-assisted-to-ai-native/ |
| Publication time | Tue, 22 Sep 2026 15:37:32 +0000 |
| Retrieval time | 2026-09-22T15:48:50.849Z |
| Last seen | 2026-09-22T15:48:50.849Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 6EKL-JGcMhVd · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
{ "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://www.oreilly.com/radar/how-to-get-from-ai-assisted-to-ai-native/#BlogPosting", "mainEntityOfPage": "https://www.oreilly.com/radar/how-to-get-from-ai-assisted-to-ai-native/", "headline": "How to Get from AI-Assisted to AI Native", "description": "When considering the history of AI, Richard Sutton observed that brute force and compute scale has always trumped human expertise, and when you look for it, you can see this “bitter lesson” play out throughout tech history.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at O’Reilly Media.
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