If only this meant the removal of the annoying tiles for games that show up in the app above everything else (often using up the entire screen) even though I’ve never tapped on them once.
I don’t want your games Netflix. I barely want your shows.
Probably the best idea I guess as long as you can set the TV up without Internet.
I’m pretty happy with Chromecast currently for its simplicity. I meant to try and replace the TV firmware so it’s more or less a dumb TV that just displays its inputs without having ads and other gimmicks.
The TV I currently have is Android OS but the built in Chromecast is noticeably lower quality. Not sure if it’s an older version or what.
Regardless, IMO the displays themselves outlast their software support, and I prefer to just plug in whatever the latest device.
I’ll also mention Android OS on my TV takes a full minute to “boot” and that itself makes me want to yeet it out the window.
My TV is probably going to kick the bucket in a year or two at most. Filtering “non smart TVs” on a site like BestBuy shows only commercial display options at this point.
Are there any well maintained projects out there that are able to replace the firmware on newer smart TVs to get rid of these features? I really just want a dumb display with an input for a Chromecast with CEC support (or similar device if Google decides to enshittify that platform with screensaver ads too).
This is giving me 1998 MS Publisher vibes and I’m here for it.
“Prompt engineering” must be the easiest job to replace with AI. You can simply ask an LLM to generate and refine prompts.
Or wear a respirator while you sand…
I’m not sure how true this perception is in more recent years. Many popular sites, with enormous traffic volumes that could drive digital impression ad revenue, are instead pushing subscriptions or other monetization models.
For instance, the New York Times makes — by far — more money on digital subscriptions than digital advertising. Digital advertising revenues are also declining for them.
Another example is Spotify, where ad revenue from their ad-supported tier did not cover their operational costs and now represents around only a tenth of their revenue compared to subscriptions.
The exceptions to this are generally search and social media sites, where the product for sale on these sites are the users themselves. They’re just advertising platforms, which of course make their money from digital advertising.
So I’d say one issue with digital advertising is that it often does not pay the bills for the site owner. Its value is tied to its ability to convert visitors to buyers, but it has to be ramped up to such an extreme level it instead only creates bad experiences.
I go through significant efforts to block digital advertising at multiple levels. Yet, I do not find it difficult to discover new things to buy (from both small and large businesses).
For myself, I suspect most of that is supported through online communities related to my interests and hobbies. Those purchases feel more informed and often more intentional too.
What if we just got rid of digital advertising altogether in the US? How many issues of privacy, health and personal finance would disappear or be greatly reduced?
It’s hard for me to imagine what that would look like or the downsides other than to the digital advertising industry itself.
With good charging options, 50kwh should be enough for most people.
Using my Model Y effective range for comparison, this would drop the range in ideal conditions to about 200mi. In cold weather this would probably look more like 150mi or less. With the recommended 80% limit for regular charging, that could be as low as 120mi. That’s also assuming it’s always plugged in at home which isn’t the case for everyone, and harder to do when you have two EVs sharing a home charger.
The other significant tradeoff is the time it will take to charge on a longer trip. You’ll be charging more frequently, a smaller battery may charge slower, and you’ll need to charge to a higher percentage in order to continue your trip. It may take 20 min to get that first 80% charge at an L3 station but if you need the last 15-20% it could take an additional 25 min. This is also ignoring the increased utilization of busy charging locations, where two vehicles at a single stall will each charge slower.
I’m a huge advocate for EVs but I would not be comfortable with that range or happy with the experience on longer trips, and these are top concerns for potential buyers.
Its use looks contrived to me on the linked GitHub page. The comparison with @ and # is flawed because those symbols are part of the resource name, whereas here the symbol is superfluous. It’s like adding a 🌐 in front of every web URL.
I remember when I was growing up
You can basically stop right there. You were young and naive, viewing the world through the rose colored glasses of youth.
The context is not the same. A snippet is incomplete and often lacking important details. It’s minimally tailored to your query unlike a response generated by an LLM. The obvious extension to this is conversational search, where clarification and additional detail still doesn’t require you to click on any sources; you simply ask follow up questions.
With Gemini?
Yes. How do you think the Gemini model understands language in the first place?
If it’s just that and links to the source, I think it’s OK.
No one will click on the source, which means the only visitor to your site is Googlebot.
What would be absolutely unacceptable is to use the web in general as training data for text and image generation.
This has already happened and continues to happen.
Great! Now you’ll not only need to convert between timezones but also between metric and standard time.
Also the respective intervals adjusted by leap days and leap seconds will be different!
Those companies aren’t “the Internet.” They’re products connected to the Internet.
The OP argument is like saying the Internet is dead because Netflix is down.
Doubtful. By far, most servers responsible for Internet traffic are not running crowdstrike software.
This incident was a bunch of fortune 500 companies caught with their pants down.
Calculating the digits of pi seems like a poor benchmark for comparing various languages in the context of backend web application performance. Even the GitHub readme points out the benchmark is entirely focused on floating point performance.