ChatGPT-while: a very short opinion

ChatGPT-while: a very short opinion

One of the hottest topics as of late is ChatGPT. And we just had to look into it through the legal tech lenses.

Confused by all the noise around it?
We’re here to help. Here are three takeaways:

1. ChatGPT uses words and structures found on the Internet and fed by humans during the training process to form sentences. It does that by calculating the probability of certain words following others and/or creating constructs with one another. This is a pure probability/statistical test.

2. GPT training does not create an imperative for the system to limit itself to pure facts: it is instructed to be a creative text generator. It still needs human supervision.

3. But the most significant problem so far is the lack of transparency regarding how Machine Learning systems, including ChatGPT, actually work. There is no backdoor to the results.

ChatGPT can add value to the legal industry through chatbots, text recommendations for legal documents, document reviews, etc.

But legal professionals can be at ease: their jobs are safe…for now.

Privacy of all users is equal. Yet, the privacy of some users is more equal than of the others, as WhatsApp in Serbia shows (021).

Privacy of all users is equal. Yet, the privacy of some users is more equal than of the others, as WhatsApp in Serbia shows (021).

User’s privacy – part of DNA to User’s privacy – part of „oh, well“. A new update to WhatsApp’s
privacy policy causes exodus of users to other apps. What about users from Serbia?
In this post, you’ll read about:
– The new Privacy Policy adopted by WhatsApp;
– Relation between WhatsApp and Facebook;
– Double standards when it comes to CEE region and (lack of) response of Serbians to the new
Privacy Policy;
– Alternatives, and
– The power of vox populi.
Take a walk through the post and have a look at those issues through CEELT glasses.