amf12

> I'll never understand why we don't just staple green cards to master's degrees.

It can be easily gamed and would lead to a rise in education industry specifically for this.

I think the better would be to give a green card after getting a US degree in areas that matter to the economic growth, and the students have worked here, in those industries for 5 years.

> approximately 70% of them somehow manage ..

Need a source for this. I'm sure there are a vast number of master's students who get their degree from shitty colleges to just be able to work here, but the vast majority of international co-workers I've had were amazing.

> How the f* they did not have them encrypted to begin with?

They are encrypted while transit and at rest, just not E2EE, which is understandable based on the link, but still should be an option like passoword manager in Chrome has.

Looks like you did not read the linked post.

But that is just growth over previous Q/Y, so yes, they are losing value, but that is because of the increased costs due to inflation, and decrease in expected revenue due to inflation.

Their margin is still above the inflation. I wouldn't say they aren't doing great for the current economic conditions.

Layoffs though, are due to increased interest rate, which kinda correlates to losing value.

> I'd love to use bard, but I was dumb enough to pay for a custom domain and workspace.

I suspect this is because they can't use Workspace data for improving the models.

> I just gave Bard a try. It's still nowhere near as good at coding as chatGPT (and GPT4 specifically)

Because its a much smaller model IMO. Its like comparing a car with 2.0 engine, with a car with 3.0 engine. Also ChatGPT made a lot of errors in code just a few months ago. Google seems to be catching up.

> Sundar Pichai has been coming in for a lot of criticism in general because he seems to be constantly out-maneuvered by Microsoft

"constantly" is a reach.

> Most of their revenue depends on search

Ads actually, but via Search yes.

> and there being an ecosystem of websites to link to and display even more of their ads.

Regardless of the change in the interface, the websites aren't going anywhere. Maybe they'd be more tailored for LLMs to parse than humans.

> Generative AI is an existential risk to their current search interface,

I don't think so. It'd be easy to pivot to a different interface if it gains popularity after the initial hype. There are still a lot of monetizable queries that people use Search for, and won't use LLMs.

> the ability to insert ads into that experience and there even being any ad-supported websites with free content to link to.

It'd be easy to insert ads in LLM responses. I think LLMs will be a good thing for Google Ads. Right now, people hate ads on web because they are obnoxious and are competing for attention. Inserting ads in LLM responses will much less distracting and valuable.

Ask Google Search chat which TV should I buy based on my criteria, and Google could suggest the top brands, and "ads" for where you could buy it. For example: "there is a promotion going on at your local BestBuy for this TV" or whatever. They have this info in the Shopping tab.

Because they gave a product that everyone loves, which is a credit to them. At this point nobody cares about whether they made AI open, or they really care about the safety and negative aspect of LLMs.

Social space vs enterprise space. How many companies would want llms integrated with their corporate data, but need trust about the data not being leaked?

Microsoft and Google both have the capability and trust to make this available. When corporates start paying for LLMs, per user, or for applications, both Google and Microsoft and the two companies are in the best position.

All other industries will be users paying for LLMS model access.

Another data point. Sometimes I like a video, and later when I am watching with friends and see it again, I watch it again to show them. Apply this to partner, roommates, family, etc.

> Of course, with a physical disk there are also things you can do to get around those limitations, like switch to a different filesystem or use multiple filesystems on one disk.

So, use another Google account? If someone's workflow depends on one Google account, sounds like they need to understand the concept of sharding.

This is true and false. Google services, including GCP, run on its internal cloud. GCP is just a product on top.

> Everyone I know who has tried CarPlay now avoids cars that do not have it.

That is because you need CarPlay if you have an iPhone. With these systems, one wouldn't have to connect anything. It doesn't matter which phone a person has.

"Safety". As if they cared enough about it with ChatGPT. Its purely for competitive reasons because of they hype that was generated.

So does Microsoft. Intelligent Cloud = Azure + Office 365

Data. Google can't use workspace data to train products. Bard right now wants usage data to finetune it. OpenAI had 6 month headstart with it.

You can use workspace data with open ai because there is no agreement in place restricting the use of that data.

> It has become a meme: https://killedbygoogle.com/

That is exactly what it is: a meme. Look at most products / services / hardware on there. A lot of entires are things that have newer version, were renamed or merged with other services / products, or features included in core products.

Some were discontinued, but they didn't have enough use. Only a few user loved products were discontinued: Inbox, Reader, etc.

With a lot of Google projects, they are "killed" by integrating their features in other projects or merged.

> My only gripe with that is it doesn't differentiate between products that google started and killed and products that google bought and killed.

Or products that were merged in other products [1], or which had newer versions [2].

[1] Google Bookmarks, Password Checkup Extension -> Chrome, etc. [2]: Nest Hub, Nexus Phones, OnHub.

This is an interesting use case that is worth mentioning. This feature would make MacBook unusable for me unless I use a Bluetooth headset.

> Another way to put it is, if an alien probe of unknown construction arrives on Earth, how would we tell if it is sentient?

We might not be able to because of the "unknown construction". But we do know how LLMs are designed and how they operate, to understand that they are just mimicking language and aren't sentient.

I feel one key aspect of "sentience" is the sensations we feel when we have emotions. LLM's definitely lack that even if we can't know if they "feel" something.

I have never seen shared desks with morning and evening split. The article says it will be alternate days, with the same desk. Basically, each desk is now assigned to two people, on alternate days.

Don't believe everything you read on CNBC. They tend to exaggerate. A lot. There is no "matching process". People will be paired up, and have to agree upon the norms. The email isn't opinionated about this. Each org will have to figure out a process.

And that is an option too.

This is assigned hot desk which is better than just hot desk + reservation, which doesn't guarantee teams sit together.

Google let's you apply for remote work, and Hybrid RTO isn't being enforced.

What is an easier solution?

I don't understand the negative sentiment with this. Do people expect employers to assign everyone a big desk, which is not completely open office and also have the flexibility to come to the office 1-2 days a week?

I hope there are exceptions for people who come in everyday, but otherwise it's a win-win the way I see it.