Tank Talks By Ripple Ventures
What was said
these model labs, they're always training the next thing... the production infrastructure is kind of second class to training the next models. The best talent gets sucked away from the production teams towards training.
“these model labs, they're always training the next thing... the production infrastructure is kind of second class to training the next models. The best talent gets sucked away from the production teams towards training.”
Keegan McCallumTank Talks By Ripple VenturesView
“I felt there was an opportunity to put together a really crack team of ML infrastructure engineers, traditional cloud infrastructure engineers, and build something that was going to be compelling for any model lab... rather than what they're able to build in-house because we're truly focused on just that.”
Keegan McCallumTank Talks By Ripple VenturesView
What this signalsWhat leaders say on podcasts often shows their current priorities.
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This page shows a preview. The full podcast-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/49ad79f4-4bc6-5a7d-9562-8926bdf5c112 returns this record as JSON. POST /v1/companies/enrich returns every signal for luma.ai.
{
"signal_id": "49ad79f4-4bc6-5a7d-9562-8926bdf5c112",
"signal_type": "podcast-company",
"signal_subtype": "painPointDisclosed",
"detected_at": "2026-09-07T04:03:48+00:00",
"company": {
"name": "Luma AI",
"domain": "lumalabs.ai"
},
"data": {
"is_ad": false,
"quotes": [
"these model labs, they're always training the next thing... the production infrastructure is kind of second class to training the next models. The best talent gets sucked away from the production teams towards training.",
"I felt there was an opportunity to put together a really crack team of ML infrastructure engineers, traditional cloud infrastructure engineers, and build something that was going to be compelling for any model lab... rather than what they're able to build in-house because we're truly focused on just that."
],
"timing": "ongoing_state",
"speaker": "Keegan McCallum",
"evidence": "these model labs, they're always training the next thing... the production infrastructure is kind of second class to training the next models. The best talent gets sucked away from the production teams towards training.",
"headline": "Luma AI · painPoint · ongoing_state (2024-08)",
"episode_id": "59916423902",
"event_date": "2024-08",
"episode_url": "https://tanktalks.substack.com/p/the-infrastructure-behind-the-next",
"podcast_name": "Tank Talks By Ripple Ventures",
"published_at": "2026-09-03",
"episode_title": "The infrastructure behind the next wave of interactive AI | Keegan McCallum (uRun, ex-Luma AI)",
"date_confidence": "inferred",
"speaker_relation": "third_party",
"transcript_source": "transcript",
"recorded_at_estimate": "2024-08"
}
}
curl https://signals.autobound.ai/v1/signals/49ad79f4-4bc6-5a7d-9562-8926bdf5c112 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"luma.ai","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.