This. VDI makes sense for some corporate use cases, but for individual users I don't ever see it happening and one of the main reasons is the need for an endpoint device. That device can be cheap, but most users are still going to want good screens, keyboards, etc. And it still needs some RAM and a CPU. GPU if you want to pass down decent graphics (it doesn't need to be a powerhouse and integrated will work but it does need some capabilities to handle streaming things that use the GPU on the cloud PC.) At that point, why not spend the extra to just get a real PC.

Since it's kind of buried in the summary: You can still buy them individually and skip the subscription. You will just miss out on some new "AI" features and what sounds like a new stock library.

That is with in the period you expect symptoms to start showing up, and people to start seeking testing/medical attention so yes, that's early in my book.

India reported ~45M infections with ~533K deaths, or around 1% which matches basically every other country including the US.

Quote a few. Getting rid of on-prem Exchange is usually the thing everyone is most excited for. Almost no-one wants to manage Exchange anymore, and I don't blame them. It's a pain in the ass and way over complicated for what it is.

Again, quite a few. Both Google and Microsoft give academic institutions sweetheart deals on their office suites.

They have been doing that for at least a decade, the story just finally got some traction recently. I have an old (3D!) LG that I remember having a mouseprint disclaimer about built in Nielsen tech that monitored and reported viewing.

The only really stagnate section for 4 yr public was 2018 to 2020 and 2020 to 2022 (flat, 100K decrease) but in 2024 it rebounded back and the gain between 2022 and 2024 is in line with the gains seen prior to 2018. I'd say that anomaly lines up pretty well with COVID. At the same time, enrollment in 2yr public colleges peaked in 2010 and declined until 2022, with a 300,000 uptick from 2022 to 2024, the only gain in enrollment since 2010.

Fair. Might be setting up his plan-b.

Possible, but the image they sent to journalists trying to verify their story contained an SynthID watermark, so that's a problem. A deeper dive than the Verge article: https://www.hardresetmedia.com...

Yes, it is. Can you show me in any meaningful way where the Google summaries are better than Gemini?

Looking at https://educationdata.org/coll... enrollment at 4 year public schools has increased consistently YoY. Most of the enrollment drop (around 2M compared to the peak in 2010) has been at 2-year state schools.

My conspiracy theory is he is setting himself up to rule there after his term is over.

Didn't mean to imply it. Let me clear: it is a fact.

Small factual questions yes, they appear to. You can get identical (word-for-word) answers from different sessions, indicating they are being cached. For instance "What is the minimum wage in california". I do wonder how often the caches are refreshed though. The minimum wage one referenced Jan 1, 2026 in the responses it sent me.

However use a more in-depth search topic and you get different wording between answers so those for sure are not cached. "What is a realistic timeline for AGI" for example, gives me different answers between sessions (normal vs incognito browser). Different wording and one claimed between 200 and 2060 while the other response had 2040-2075. Variations can also trigger different answers, "When was the first iPhone released" vs "When did Apple release the first iPhone". So while they can cache some answers to help reduce compute, they still need to do a lot of unique calls. Again, if you consider the sheer volume of google searches per day, even if every search does not get a AI summary or gets a cached one, it's still a fuck-ton of inference time for the ones that go to the model for an response.

The AI summaries on Google searches are a prime example of issues of trying to provide AI, for 'free', at a huge scale. If you compare it to the regular version of Gemini it's obvious they are squeezing it as much as they can to cut down on inference costs. Thinking about how many searches are done on Google every day, that cost has got to be massive, even for a company like Google. The answers are so hilariously unreliable I've stopped even looking at them. It may give me the info I need, but I'll spend more time verifying that than I would just relying on a normal search.

Apparently many in the government were also surprised.