Character.AI pede falência e negocia venda de ativos à Disney
A plataforma pretende continuar funcionando durante a venda judicial; sem comprador disposto a assumir o serviço, poderá ser encerrada O post Character.AI pede falência e negocia venda de ativos à Disney apareceu primeiro em Olhar Digital.
A plataforma pretende continuar funcionando durante a venda judicial; sem comprador disposto a assumir o serviço, poderá ser encerrada O post Character.AI pede falência e negocia venda de ativos à Disney apareceu primeiro em Olhar Digital.
Em contexto
- Tema: Inteligencia Artificial — IA aplicada al negocio: casos, límites, costos y gobierno.
- Fonte: Olhar Digital
- Publicado: 13/10/2026
Continuar lendo na fonte original →
Trecho publicado automaticamente pelo radar do site. O texto completo pertence ao veículo e está vinculado acima.
Why it matters
The conversation about artificial intelligence has become noisy, and that makes it harder to see what matters. What matters is rarely the model. It is which concrete process ends up cheaper, faster or more reliable, and who is accountable when the answer comes out wrong.
I always separate two things that get mixed up: the demo and the operation. A demo needs to work once with someone watching. An operation needs to work a thousand times with nobody watching, with odd cases, dirty data, at two in the morning. The gap between the two is where the budget goes.
What usually goes wrong
The mistake I have seen repeat most is measuring nothing before starting. It gets deployed, everybody feels things improved, and when somebody asks by how much, there is no answer. Without a baseline there is no way to defend next year's budget, and that is where good projects die.
What to watch
- Who reviews the model outputs and how often — the point at which AI becomes auditable.
- Cost per query at real volume, not pilot volume: the variable that produces the most surprises.
- Where the data ends up and under what contract, especially when customer information is involved.
How I read this entry
I would use it for a talent conversation rather than a purchasing one. The capability that needs installing is not operating a tool, which changes every six months, but framing the problem well and judging the answer. That one stays in the house.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
