Jurors decide the verdict, the judge determines the sentence.

The fundamental change we need is to make corporations pay taxes on revenue (top line) and not on profits (bottom line). It's simple, easy to track and in par with income tax of regular people.

Can someone explain what's technically better in the recent embedding models. Has there been a big change in their architecture or is it lighter on memory or can handle longer context because of improved training?

Care to explain more? I understand the prompt might not be used for training, but how about sanitizing the PII from tracking or logging or memory bugs in these serverless functions

My point is there are plenty of cases where you would send the same PII through a server-less function or internal API (IE PATCH /user/profile). The concerns about logging or bugs are the same in both instances. You could make a case that using a masking tool like this would make it easier to share full production logs, but there are plenty of other ways to secure logs that don't involve modifying the runtime behavior.

The more I look at it, the more I realise the reason for cognitive overload I feel when using LLMs for coding. Same prompt to same model for a pretty straight forward task produces such wildly different outputs. Now, imagine how wildly different the code outputs when trying to generate two different logical functions. The casings are different, commenting is different, no semantic continuity. Now maybe if I give detailed prompts and ask it to follow, it might follow, but from my experience prompt adherence is not so great as well. I am at the stage where I just use LLMs as auto correct, rather than using it for any generation.

Teams is a must if you are a professional in Australia. However, I love my Debian+ i3 too much to give it up. Using it through chrome is not easy especially to chat. So, I install it as appomage through appman and it works beautifully well that I can automatically update as well.

From mandatory voting to preferential voting, australia seems to have figured out what this works best for democracy.

That’s what he’s saying.

No. He said that the 7% 'add up', when the proper term would be 'compound'.

You are both right. What is compounding? It is when you add the gains, year by year.

The gains are multiplied though, no?

In the vocabulary of finance you don't multiply in gains, you add them. It probably historically derives from dividends being added. At the transactional level you never actually multiply money, after all (unless you're a bank).

What is multiplication if not adding over time?

Everyone is right! It’s a multiply-accumulate (accumulate of course a synonym for add)

There was a paper that tried to integrate NER (Named Entity Recognition) with whisper to one shot for similar situation, not sure what is the current status

[1] https://github.com/aiola-lab/whisper-ner

Dumb question from someone who uses old cars without OTA, how can cars get OTA if you don't pay for any internet subscription? Can't you say I don't want to pay for any internet costs when buying the car? Also ensure you don't connect the car to wifi. Isn't that suffice?