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Open weights vs. closed labs: who actually wins 2027?

47:12·12,486 listening·Peak 14,203·Hosted by Maya Okafor
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Open weights vs. closed labs: who actually wins 2027?

Maya Okafor, Priya Nair, Tomás Lindqvist and 9 others on stage. 12,486 listening. Captions in 41 languages.

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Shipping agents to production: what broke and what didn't

Maya Okafor + 8 speakers · Oct 29, 2026 · 31,204 plays

18:401:32:08
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AI summary
  • Most agent failures came from tool timeouts, not model errors; retries with backoff fixed ~70%.
  • Teams that logged every tool call cut debugging time roughly in half.
  • Disagreement: Jonah argues evals beat observability; Priya says you need both on day one.
  • Action items: publish the shared eval set; follow-up room Nov 12.
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"Your agent is only as reliable as your slowest API." · Priya Nair, 41:07

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Peak listeners14,203▲ 38% vs. your average
Avg. listen time23m 40s▲ 6m vs. last room
Still listening at 30 min61%Platform median: 34%
New followers+842▲ 212 in last 10 min

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Open weights vs. closed labs…Maya Okafor is speaking