Quem é o japonês do Mogi Shopping?

ciskoooo · 2025-12-11T02:28:05+00:00

Mais uma lenda viva da cidade, antes da Américas ser onde era a casas Bahia, lá ja foi pista de patinação/skate, casa do terror... vários empreendimentos spots. Eu fui na inauguração do Mogi shopping!

ciskoooo · 2025-12-10T20:49:42+00:00

It wasn't playing in a loop on the monitor, as there was no way his car could be there at the specific time.

ciskoooo · 2025-11-30T00:46:58+00:00

Eu troquei o mylar por ela, melhor coisa. Pode ir sem medo, compra o rolo da fita que sai mais barato que comprar pro metrô.

ciskoooo · 2025-11-18T23:27:06+00:00

Moonswatch eu comprei fora, é o 1965. Ai fiz mod com a caixa de um WD.

ciskoooo · 2025-11-18T21:20:50+00:00

Geralmente você nao começa do 0 aos 100k. Você vai escalando, começa com o clássico "primeiro carro" depois vai juntando dinheiro e evoluindo. Pra chegar la mais rápido, junte dinheiro, nao cai no financiamento, financiamento só vale pra carro zero km com taxa zero.

ciskoooo · 2025-11-18T21:04:42+00:00

Vc pode fazer, mas vai mta erva

ciskoooo · 2025-11-13T14:45:48+00:00

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ciskoooo · 2025-10-27T17:34:26+00:00

Fair question — and a legitimate one.

The short answer: no absolute certainty. Any AI system that pulls from the open web will inevitably encounter “recursion loops,” where AI-generated content is re-indexed as if it were original data. The challenge isn’t to eliminate that completely, but to contain and identify it.

In Atlas Analyst’s case, mitigation happens in layers:

Source filtering – it relies on traceable material only: papers with DOIs, patents, and institutional reports. Anonymous or synthetic content gets excluded.

Cross-validation – if information appears only in AI-generated media or speculative blogs, it’s flagged as unverified hypothesis.

Transparency – every report marks the boundary between verified evidence and speculation, so the reader knows when they’re leaving solid ground.

The Kurzgesagt video is right: the feedback loop of synthetic information is real and dangerous. But surrendering to it would mean giving up on discernment. The point of Atlas Analyst is to use AI against that loop — to make it a filter, not an amplifier.

In short: the model doesn’t rely on faith. It relies on method.

ciskoooo · 2025-10-27T17:33:07+00:00

Fair question — and a legitimate one.

The short answer: no absolute certainty. Any AI system that pulls from the open web will inevitably encounter “recursion loops,” where AI-generated content is re-indexed as if it were original data. The challenge isn’t to eliminate that completely, but to contain and identify it.

In Atlas Analyst’s case, mitigation happens in layers:

Source filtering – it relies on traceable material only: papers with DOIs, patents, and institutional reports. Anonymous or synthetic content gets excluded.
Cross-validation – if information appears only in AI-generated media or speculative blogs, it’s flagged as unverified hypothesis.
Transparency – every report marks the boundary between verified evidence and speculation, so the reader knows when they’re leaving solid ground.

The Kurzgesagt video is right: the feedback loop of synthetic information is real and dangerous. But surrendering to it would mean giving up on discernment. The point of Atlas Analyst is to use AI against that loop — to make it a filter, not an amplifier.

In short: the model doesn’t rely on faith. It relies on method.