Are brain waves the next unlock for physical AI?
The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California. That warehouse is occupied by Encord, a company that builds data tooling used to train AI models. Andrew Ceja is a pilot — the company’s term for its robotic trainers — and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees.
- ▪The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California.
- ▪That warehouse is occupied by Encord, a company that builds data tooling used to train AI models.
- ▪Andrew Ceja is a pilot — the company’s term for its robotic trainers — and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees.
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai/ |
| Publication time | Mon, 27 Jul 2026 00:19:14 +0000 |
| Retrieval time | 2026-07-27T00:27:29.916Z |
| Last seen | 2026-07-27T00:27:29.916Z |
| 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 | C5-PnzBD-3yj |
| 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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
The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California. That warehouse is occupied by Encord, a company that builds data tooling used to train AI models. Andrew Ceja is a pilot — the company’s term for its robotic trainers — and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees. That alone is fairly common for collecting robot training data, but this headset includes sensors that measure his brain waves as he carefully disassembles the block tower.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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