I assume they are simply counting the number of network requests that look (vaguely) malicious. But even then surely it’s not 45 billion exploit attempts ( there isn’t like 4.5 million different vectors, never mind 45 billion ) so they’re probably just counting random bot farms making requests to make it sound more impressive.

Is the speed generation integrated into the model or is it TTS built into the app? Similar with speech recognition, is it just whisper in the app or is it part of the model.

Given the voice selection I have to believe it’s just TTS in there but curious about the recognition.

Is there a link that doesn’t require me to pay?

Does this really matter? Do we still care about CPU cores? I just want more/better GPU cores and more GPU unified memory for my larger models.

So LLM’s won’t take our jobs but “large language models (LLMs) can replace some of the duller work of engineering”? Doesn’t this mean that some software engineering work will be lost to LLM’s?

Ha! An average Ivy is $65k per year + $15k room and board and let’s say another $5k for incidentals and you’re at $85k per year.

Now imagine if your kid wants to go to medical school. You’re looking at $700-800k+ before they start earning a salary.

I am fortunate that I can afford to pay this for my kids - one of whom does want to be in medicine - but I struggle to understand how this is practical for the bulk of the middle class.

I struggle with these doom and gloom predictions about college when the acceptance rate at Stanford is 4%, the acceptance rate for some ivy league schools is 5% and certainly no more then 10%, and even schools like UCLA and USC are 15%. It’s a tough climate for many talented student.

My daughter wants to get into a program at a particular school and the acceptance rate of this program is 2.5%

And the prices are pretty crazy at many of these top schools. Upwards of $85k PER YEAR including room and board ( and these are the schools with the 5% acceptance rates ).

This is dumb take. Computers do what computers are programmed to do.

In this case the data is encapsulated in a latent space, which is not a copy, any more then - after reading a book - the information you retain is a copy of the book..

Apple wants this because they’ve now reached a point where they can support ‘right to repair’ and it will tangible improve their competitive position against those companies ( like Samsung ) for whom it will be tougher.

Right to repair in general ( here and in Europe ) is actually a tangible advantage for Apple because their logistical footprint and higher volume makes it easier for them to meet parts availability obligations.

4k

You can hire a larger police force if you have the tax revenue from drugs.

In essence the drug users are paying for the additional police. Itâ(TM)s genius.

This is a more complex issue than it seem superficially.

ChatGPT provides accurate and comprehensive answers to many questions. It is, in many ways, much more useful than stack overflow, especially for junior developers using the most common tools and platforms.

Where ChatGPT falls down is on less common problems and especially on languages and tools - Swift/XCode for example - that are undergoing tangible revision from version to version with deprecations. In those cases it gives you answers that would have worked 1-2 versions ago, but no longer work today. It also tends to confuse language extensions for the languages and suggests them without referencing the extension.

But that said, having worked with it for some time, I have no doubt it represents the future. A successful stack overflow will couple their existing platform with LLM’s to provide better tailored solutions to common question with the ability to reference end user examples for new / less common problems.

I am know your joking but Russia actually has very little surveillance. The infrastructure required for that is simply not something that Russia has invested in ( unlike China or even the UK )

Looks like big tobacco is taking the 'high' road and branching out into the illicit drug market!

Amazon has lost many of it’s top talent already because their stock weighted total compensation reduced actual annual take home by a large percentage.

No one is going to want to work for an Amazon that pays poorly, does not offer job security, and is an uncompromising work environment.