### Apache Airflow version

2.3.4

### What happened

The [await_container_completion](
https://github.com/apache/airflow/blob/2.4.0/airflow/providers/cncf/kubernetes/utils/pod_manager.py#L259) function has a negated condition

```
while not self.container_is_running(pod=pod, container_name=container_name):
```
that causes our Airflow tasks running <1 s to never be completed, causing an infinite loop. 

I see this was addressed and released in https://github.com/apache/airflow/pull/23883, but later reverted in https://github.com/apache/airflow/pull/24474. How come it was reverted? The thread on that revert PR with comments from @jedcunningham and @potiuk didn't really address why the fix was reverted.

### What you think should happen instead

Pods finishing within 1s should be properly handled.

### How to reproduce

_No response_

### Operating System

Linux

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==4.3.0

### Deployment

Other 3rd-party Helm chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

self, pod: V1Pod, container_name: str, *, follow=False, since_time: DateTime | None = None
    ) -> PodLoggingStatus:
        """
        Follows the logs of container and streams to airflow logging.
        Returns when container exits.
        """
        def consume_logs(*, since_time: DateTime | None = None, follow: bool = True) -> DateTime | None:
            """
            Tries to follow container logs until container completes.
            For a long-running container, sometimes the log read may be interrupted
            Such errors of this kind are suppressed.
            Returns the last timestamp observed in logs.
            """
            timestamp = None
            try:
                logs = self.read_pod_logs(
                    pod=pod,
                    container_name=container_name,
                    timestamps=True,
                    since_seconds=(
                        math.ceil((pendulum.now() - since_time).total_seconds()) if since_time else None
                    ),
                    follow=follow,
                )
                for raw_line in logs:
                    line = raw_line.decode("utf-8", errors="backslashreplace")
                    timestamp, message = self.parse_log_line(line)
                    self.log.info(message)