Row 50009

Row ID: 50009 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 50009 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

There are plenty of applications where an 80% success rate is fine and comparable with, or better than, low-cost employee performance. In those environments, one way or another, there are checks in place to handle the exceptions.

In fact, speaking of "mission critical", consider radiology screening. It's often a life or death situation, but AI has demonstrated better than human results in some cases, and there's human review to help catch errors.

Treating it as a binary issue - AI is or isn't good enough to implement agents - doesn't help to understand what's actually happening.

FieldValue
text There are plenty of applications where an 80% success rate is fine and comparable with, or better than, low-cost employee performance. In those environments, one way or another, there are checks in place to handle the exceptions. In fact, speaking of "mission critical", consider radiology screening. It's often a life or death situation, but AI has demonstrated better than human results in some cases, and there's human review to help catch errors. Treating it as a binary issue - AI is or isn't …
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-22
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Raw Record

{
  "text": "There are plenty of applications where an 80% success rate is fine and comparable with, or better than, low-cost employee performance. In those environments, one way or another, there are checks in place to handle the exceptions.\n\nIn fact, speaking of \"mission critical\", consider radiology screening. It's often a life or death situation, but AI has demonstrated better than human results in some cases, and there's human review to help catch errors.\n\nTreating it as a binary issue - AI is or isn't good enough to implement agents - doesn't help to understand what's actually happening.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-22",
  "username_encoded": "Z0FBQUFBQm5Lak1TQm04Uml3MjRYQ2VnNFI5ZFk0OUtiYVpGeFZLd0ZUa0JPTTY2VFozOVFKLXFYcTZ0SUNQSlFKR0ZvN1BYbE54eV90bXBTTnVJWEVPYm55akRvcTZMQ2c9PQ==",
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}
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