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[Hermila Farquhar]

Thisdistinction matters both for pragmatic and strategic reasons: it tells you how to act both offensively and defensively. Offensively, if you figure out whether a player is alive or dead, you can predict how they will respond to things and what that means you can do. If you find out that a player is dead, then you know that you can confront them in ways that are not known to them, and they will not be able to fight back. On the other hand, if you fail to figure out that a player has died, you might not realize that you can get away with replacing them. Defensively, paying attention to live players allows you to anticipate and prevent the grabbing of power, for instance.

The distinction between live and dead players also matters if you are trying to predict the future of society. You can predict what will happen in a society if you understand its landscape of live players. Societies with few live players will stagnate; societies with many live players will develop and adapt.

If not merely one individual, a live player that is a group of people must be tightly coordinated in order to be flexible and responsive enough to do things they have not done before. This allows them to make moves outside of the formal structure of the group, go off script, modify themselves, continue acting even if the outer form dies, and so forth. Imagine, for example, an engineering team that keeps working together successfully after the company they work for formally blows up, perhaps transitioning together to a new company or just coordinating as hobbyists on the side.

Take Steve Jobs. Not too long ago, we saw Apple fighting against compliance with government requests for backdoor access to its data. This means that Jobs had previously found a way around compliance, which also means that Jobs was able to figure out ways to deal with the intelligence world. This was outside of his expected domain of building technology companies. This is a strong sign that Apple, at least while piloted by Steve Jobs, was a live player.

Another sign of a live player is exceptional individuals gravitating towards them. Such individuals tend to be good at assessing others, and will tend to seek out others who are also exceptional. If they cluster around a person or group, there is something exceptional about that person or group. Successfully reverse-engineering an attack is another, albeit weak, sign of a live player. Those who can make novel moves will also tend to be able to reverse-engineer moves, but those who can reverse-engineer moves often lack the ability to create novel ones.

What can cause a player to die? A player will die if their tradition of knowledge dies and they are unable to replace their thinkers or theorists. Perhaps an individual live player simply runs out of ideas. Even if tight coordination remains, the player is dead. They will compete in old areas, but have a hard time expanding into new areas.

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Ever since the wyze camera live stream known issue was resolved on 1/17/24, I have had the same issues on 4 of my 5 cameras. Live stream works maybe 25% of the time. Randomly works, mostly does not. Ive tried all troubleshooting methods and restarts. VERY FRUSTRATED. The issues are not resolved in my opinion. When i look at tbe cameras they are blinking a bkue light when live stream not working. Nothing fixes it. It will randomly work again later and then go back to not working.

Anytime my V3 Pros exhibit this issue the Windows 11 Web Livestream on Edge Chromium worked fine, and the preview of the camera in the group worked fine too. It just happens when I try to click on the one V3 Pro camera I want in full screen.

Thanks BigDawg3969!

I know in the past too many cameras in a group caused problems, but I like having my cameras in a group to keep the main screen cleaner.

I have other Wyze devices that sit on that main screen like a scale, sensor groups, door lock, plugs, bulbs, robotic vacuum, etc. The doorbell cameras seem to work good in their own camera group too.

BigDawg3969,

When the problem manifests itself (like it is for me right now), have you ever tried using MOBILE DATA instead of Wi-Fi to get to your livestream? I know it will eat up data, but I was able to do the livestream to a problematic V3 Pro just now, and could NOT with my local Wi-Fi.

Just something to try, but it could cost you some data.

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Monitor your live, in-production web application by using live metrics (also known as QuickPulse) from Application Insights. You can select and filter metrics and performance counters to watch in real time, without any disturbance to your service. You can also inspect stack traces from sample failed requests and exceptions. Together with Profiler and Snapshot Debugger, live metrics provide a powerful and noninvasive diagnostic tool for your live website.

The number of monitored server instances displayed by live metrics might be lower than the actual number of instances allocated for the application. This mismatch is because many modern web servers will unload applications that don't receive requests over a period of time to conserve resources. Because live metrics only count servers that are currently running the application, servers that have already unloaded the process won't be included in that total.

To enable Application Insights, ensure that it's activated in the Azure portal and your app is using a recent version of the Azure Monitor OpenTelemetry Distro or Classic Application Insights NuGet package. Without the NuGet package, some telemetry is sent to Application Insights, but that telemetry won't show in the live metrics pane.

On March 31, 2025, support for instrumentation key ingestion will end. Instrumentation key ingestion will continue to work, but we'll no longer provide updates or support for the feature. Transition to connection strings to take advantage of new capabilities.

You can monitor custom KPI live by applying arbitrary filters on any Application Insights telemetry from the portal. Select the filter control that shows when you mouse-over any of the charts. The following chart plots a custom Request count KPI with filters on URL and Duration attributes. Validate your filters with the stream preview section that shows a live feed of telemetry that matches the criteria you've specified at any point in time.

You can monitor a value different from Count. The options depend on the type of stream, which could be any Application Insights telemetry like requests, dependencies, exceptions, traces, events, or metrics. It can also be your own custom measurement.

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