### 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)

"""
    Helper class for creating, monitoring, and otherwise interacting with Kubernetes pods
    for use with the KubernetesPodOperator
    """
    def __init__(
        self,
        kube_client: client.CoreV1Api = None,
        in_cluster: bool = True,
        cluster_context: str | None = None,
    ):
        """
        Creates the launcher.
        :param kube_client: kubernetes client
        :param in_cluster: whether we are in cluster
        :param cluster_context: context of the cluster
        """
        super().__init__()
        if kube_client:
            self._client = kube_client
        else:
            self._client = get_kube_client(in_cluster=in_cluster, cluster_context=cluster_context)
            warnings.warn(
                "`kube_client` not supplied to PodManager. "
                "This will be a required argument in a future release. "
                "Please use KubernetesHook to create the client before calling.",
                DeprecationWarning,
            )
        self._watch = watch.Watch()
    def run_pod_async(self, pod: V1Pod, **kwargs) -> V1Pod: