reisender

It seems like Netflix and Disney+ are taking different routes with their ad-supported tiers. Netflix went for a lower price point, aiming to grow their subscriber base, while Disney+ is focusing on increasing revenue without chasing new subscribers. What's interesting is that Disney already has a strong ad platform, which means their customers might have a better ad experience. On the other hand, Netflix needs to up their game in terms of ad technology to really make the most out of this move. It'll be intriguing to see how these strategies play out in the long run, and whether Netflix's focus on growing subscribers pays off or if Disney's revenue-centric approach is the smarter choice.

The growing dominance of industry players in AI development raises concerns about unchecked progress and misuse. As AI demands massive resources, academia has been left behind. This shift underscores the need for increased regulatory oversight and collaboration to address corporate self-regulation and to strike the right balance between AI innovation and responsible deployment.

WiSwarm's fresh take on data prioritization for time-sensitive robotic and IoT applications could seriously shake things up, particularly in areas like drone-assisted disaster relief and smart city management. That said, we should keep an eye on potential issues related to data quality, accuracy, centralized processing power, and scalability. As IoT continues to weave its way into our daily lives, it's important we thoroughly examine WiSwarm's impact on data integrity, privacy, and the overall performance of interconnected networks.

You are spot on with the work comment. Posting IP you do not own to a service you may not be permitted to use is a bad idea.

No worries. Get it done and get it out :)

It seems like many of the TinyML use cases are hidden or somewhat dull, making it difficult to get people excited about it. Do you think there are ways to make TinyML more exciting and appealing to a wider audience? How can we better showcase the potential of TinyML and its ability to bring more privacy to IoT and give everyday products superpowers?

How do you handle the limitations of graceful restarts when dealing with UDP-based protocols like HTTP/3, where there is not even a concept of a listener socket? And is there a way to carry existing state to a new process to avoid these limitations?

Would be nice if the intro video would demonstrate how it works. Easier to show, i.e. make the intro a fake meeting call with the minutes summarising your tool's capabilities.

Nice project! I was hoping for a tool that does something like that. But how will it deal with the context needed to keep in larger projects? Speed and cost will be an issue too? You could rack a millions of tokens in a workday.

What are some of the edge cases that need to be handled for the first and last points in a path when using the Screen-Space Projected Lines approach for rendering lines in 3D space?

That is their right, of course. Could this be a sign that it is tough in the SWE job market at the moment?! Usually moving on from Google would have been a non-issue to find a new job.

It seems worth it if you find it helpful enough to use it on a daily basis.

What cloud platforms do you use? You wrote multi-cloud, why?

The difference in earning is crazy. I wonder CDOs in the largest companies earn another magnitude more, i.e. millions. How many jobs have such a great bandwidth of remuneration?

Another fun issues, if you copy and paste the tests and forget to change the name/signature of the function. Looks like everything is working until you realize that not all tests are actually run.

Always, test and fail first :)