### 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)

"""
        Waits for the pod to reach phase other than ``Pending``
        :param pod:
        :param startup_timeout: Timeout (in seconds) for startup of the pod
            (if pod is pending for too long, fails task)
        :return:
        """
        curr_time = datetime.now()
        while True:
            remote_pod = self.read_pod(pod)
            if remote_pod.status.phase != PodPhase.PENDING:
                break
            self.log.warning("Pod not yet started: %s", pod.metadata.name)
            delta = datetime.now() - curr_time
            if delta.total_seconds() >= startup_timeout:
                msg = (
                    f"Pod took longer than {startup_timeout} seconds to start. "
                    "Check the pod events in kubernetes to determine why."
                )
                raise PodLaunchFailedException(msg)
            time.sleep(1)
    def follow_container_logs(self, pod: V1Pod, container_name: str) -> PodLoggingStatus:
        warnings.warn(
            "Method `follow_container_logs` is deprecated.  Use `fetch_container_logs` instead"
            "with option `follow=True`.",
            DeprecationWarning,
        )
        return self.fetch_container_logs(pod=pod, container_name=container_name, follow=True)
    def fetch_container_logs(