Second is the rise of AI-powered systems that depend on fast, reliable access to edge or cloud-based intelligence.
I’m sorry… what?
Is that just word salad? I’m not seeing “AI” as being anything but an excuse there. On the cloud side, AI involves server farms with physical interconnects. Same for endpoint AI, and edge server AI.
Are they saying that accessing these systems depends on fast, reliable access? Like, faster and more reliable than using Google from your web browser over the past 20 years?
The whole point of ML systems is that all the heavy compute and speed dependent stuff happens somewhere with dedicated bandwidth to handle it, and the interface can be slower and lossier because the service can take more steps without guidance.
As a software developer, when I read that sentence, I heard “We want WiFi 8 to continue to improve the standard and be faster, but that’s not a very sexy sales pitch, so we’re gonna pitch it as if AI is the only reason we’re developing better infrastructure.”
Same thing happened with 5G, claiming that categorically new stuff would be possible with 5G that just couldn’t be done at all with LTE. IoT and VR were buzzwords thrown around as simply demanding 5G and utterly impossible without it.
Then 5G came and it was welcome, but much more mundane. IoT applications are generally so light that even today such devices only bother to ship with LTE hardware. VR didn’t catch on that hard, but to the extent it has, 5G doesn’t matter, no cellular modems and Internet speed is too slow to support anything directly even with 5G.
Same is happening in pretty much every technology with AI right now, claiming that AI absolutely requires whatever the hell it is they want to push. Trying to lean hard on AI FOMO to push their tech.
I‘m convinced it’s an excuse. They‘re stuffing everything with „AI“ right now to justify the erratic spending spree while scrambling to find actual use cases that actually transform entire industries so they can keep bullying us out of our wages and jobs.
I would suspect they’re thinking of robots with “brains” that are separate from the physical chassis, perhaps in a cloud server somewhere. If you’ve got a factory full of robots tromping around under wifi guidance you’d want that to be a reliable connection.
Yeah word salad especially if there is progress to have local model running on your device rather than the privacy nightmare of the cloud based solutions.
I’m sorry… what?
Is that just word salad? I’m not seeing “AI” as being anything but an excuse there. On the cloud side, AI involves server farms with physical interconnects. Same for endpoint AI, and edge server AI.
Are they saying that accessing these systems depends on fast, reliable access? Like, faster and more reliable than using Google from your web browser over the past 20 years?
The whole point of ML systems is that all the heavy compute and speed dependent stuff happens somewhere with dedicated bandwidth to handle it, and the interface can be slower and lossier because the service can take more steps without guidance.
As a software developer, when I read that sentence, I heard “We want WiFi 8 to continue to improve the standard and be faster, but that’s not a very sexy sales pitch, so we’re gonna pitch it as if AI is the only reason we’re developing better infrastructure.”
Same thing happened with 5G, claiming that categorically new stuff would be possible with 5G that just couldn’t be done at all with LTE. IoT and VR were buzzwords thrown around as simply demanding 5G and utterly impossible without it.
Then 5G came and it was welcome, but much more mundane. IoT applications are generally so light that even today such devices only bother to ship with LTE hardware. VR didn’t catch on that hard, but to the extent it has, 5G doesn’t matter, no cellular modems and Internet speed is too slow to support anything directly even with 5G.
Same is happening in pretty much every technology with AI right now, claiming that AI absolutely requires whatever the hell it is they want to push. Trying to lean hard on AI FOMO to push their tech.
AI is currently a clustered mess of retry back off loops. The connectivity ain’t the issue.
I‘m convinced it’s an excuse. They‘re stuffing everything with „AI“ right now to justify the erratic spending spree while scrambling to find actual use cases that actually transform entire industries so they can keep bullying us out of our wages and jobs.
I would suspect they’re thinking of robots with “brains” that are separate from the physical chassis, perhaps in a cloud server somewhere. If you’ve got a factory full of robots tromping around under wifi guidance you’d want that to be a reliable connection.
Yeah word salad especially if there is progress to have local model running on your device rather than the privacy nightmare of the cloud based solutions.