Frontier AI lab researchers on X — self-asserted handles only

No. We deliberately rejected that approach — searching X bios for lab names is noisy and low-precision (see docs/ai-org-intelligence-product-plan-2026-06.md). Instead this is roster-first: we build a list of real researchers/staff from ground-truth academic and organizational records (OpenAlex co-authorship, arXiv paper author lists, Wikidata employer statements), then check ONLY whether that specific person has self-asserted an X handle — via their own ORCID researcher-url, their own Wikidata P2002 claim, or their own GitHub profile's twitter_username field. X is used to resolve and enrich, never to discover.

No, and it undercounts substantially on purpose — this is a floor, not a census. 6.5% of the OpenAlex-sampled academic roster and 32% of the Wikidata-employer roster had a self-asserted X handle; GitHub org public members ran higher at 38.3%. Most working researchers never link their X account anywhere machine-readable, so true X presence is far higher than what shows up here. The roster also skews toward people with an academic publishing history or public GitHub org membership — not every employee has either.

Every person on this page carries one or more of exactly three signals, shown in the "source" column: their own ORCID researcher-url pointing at x.com/twitter.com, their own Wikidata P2002 (X username) claim, or their own GitHub profile's twitter_username field discovered via public membership in that lab's GitHub org. None of these are inferred from bio text or a name match — they are all first-party, self-declared links. One known-bad Wikidata mapping surfaced during research (a mismatched handle for a DeepMind-affiliated academic) and was excluded rather than shipped.

None of the four roster sources (OpenAlex, arXiv, Wikidata, GitHub) carries a reliable employment date, so a resolved signal can point at a lab someone has since left — an old co-authored paper, a GitHub org membership nobody revoked, a Wikidata employer claim nobody updated. As a one-time snapshot pass on July 27, 2026, every listing with a live X bio was cross-checked: does the bio's current-tense self-description support the assigned lab, or does it explicitly contradict it (past-tense "previously/ex-/formerly <lab>", or a bio naming a different current employer with zero mention of the assigned lab)? 15 lab-listings failed that check and were removed rather than shipped as a false "current" claim. Listings with no bio available were left as-is (an absence of corroboration, not a contradiction). This is a point-in-time check, not a live feed — bios can go stale again after this pass, the same way the underlying roster signals did.

Qwen (Alibaba's model team) isn't its own OpenAlex institution or Wikidata organization — the parent "Alibaba Group" entity covers thousands of unrelated employees, so using it as the roster source would reproduce the same false-positive problem this whole methodology exists to avoid. We instead roster-routed Qwen through arXiv (60 authors on the Qwen3 Technical Report) and GitHub org membership (QwenLM, 4 public members) — both precise to the model team — and neither surfaced a self-asserted X handle in this pass. That's a true negative, not missing data.

Yes — the full roster (name, lab, X handle, source signal, followers, verified, role, previous affiliations) is published as a CSV under CC BY 4.0 at https://crawlora.net/ai-researchers-index/download. No email addresses or other non-public contact info are collected or published.

Same source as everything else self-declared on this page: the person's own X bio. Where a bio states a current title ("Research Engineer", "CEO & Co-Founder") we surface it near-verbatim in "Role"; where it uses explicit past-tense language ("previously/prev/formerly/ex-") naming a prior employer, we surface that in "Previously at". Unlike the lab-affiliation signal (ORCID, Wikidata, GitHub — all structured records), these two fields are extracted from free-text bio content, so they're held to a stricter bar: ambiguous, terse, or unclear bio text is left blank rather than guessed. A blank cell means the bio didn't clearly state one, not that we don't know.

That earlier study measured how often AI-lab names appear as TEXT inside bios across the X Users dataset — an aggregate keyword count with no named individuals and no employment verification. This page is the opposite approach: named individuals, each verified through a real employment/affiliation signal (OpenAlex, arXiv, Wikidata) and a self-asserted handle, not a bio-text match.