gabelschlager

Is it? Especially if you go the K8S route, setting up a runner infrastructure can be done within a day. Based on my experience, there isn't a lot of maintenance involved. It's mostly a smooth experience.

Smartphone is required for everything there, yes. Signing up for services, authenticating yourself (e.g. when entering a train station), payment, social media, etc.

Computers used to be expensive and people had less money back then, so most of the country essentially just directly upgraded to smartphones. Many don't and never used to own a PC outside of work.

I think the endgame is a shift toward a platform of services that tightly bind users to a single LLM provider.

Right now, many small startups are essentially just thin wrappers around ChatGPT. Once it becomes clear which ideas and solutions gain real traction, providers like OpenAI/Anthropic can simply roll out those features natively removing any need for a third party.

In a sense, a lot of what happened with the mobile market. For example, there's no need for a QR scanner or document scanner app anymore, if your phone starts to offer it natively.

>Zelensky implied Russia would invade the U.S. Do you think that’s likely?

He did not. What he did say is, that should Russia start to expand the war to other countries (as is very likely if Ukraine falls), these effects will be felt by the people in the US.

That statement is obviously true. The effects of the Ukraine war could also be felt, as it affected the economy across the globe.

Honestly, Regex is not nearly as complicated as most people make it out to be. Read through the rules and then design some simple expressions.

I quite liked ReadEra. Scans your phone for all epubs, allows grouping and organizing them, but most importantly, has a good looking, customizable reading interface.

I think they are best at information extraction/classification tasks, especially for complex tasks with little to no training data, and data synthesis tasks. However, you should always test if simpler models can already perform the task reasonably well to save money.

They underperform at anything that requires reasoning.

Just talking about the software-side of things: I think they actually have been adding very neat features with the past few updates. Automatic image OCR, so you can copy/paste text, inserting text via camera, the transformer-based keyboard and such are small, but very useful features.

I much prefer that over Microsoft's way of adding a new UI that can do less than previous iterations, while also being less performant and tons of half-baked features like their newly-planned Copilot, still unfinished Android subsystem, worse search, etc.

Of course, neither approach is perfect, but I actually prefer system that change little on the surface and mainly adds small, but well-integrated features over time. Not saying Apple is perfect (there's tons that could be done regarding user freedom on iOS, backwards-compatibility and gaming), but neither are the competitioners.

Even you are still personifying the model. There is no motivation. An input sentence is multiplied by a series of weights and the resulting output vector transformed back into a text.

At the end of the day, it's a program like any other. There are no emotions or a consciousness.

Most of the time I try it to use it, the website won't allow me to use the '+' in an email or will never send the verification mail to activate my account.

I mean, even here people regularly don't understand what ChatGPT is and what it can do. I wouldn't expect reddit to be any better.

Well, Chomsky already dismissed corpus based linguistics in the 90s and 2000s, because a corpus (large collection of text documents, e.g., newspaper, blog post, literature or everything mixed together) is never a good enough approximation of the true underlying distribution of all words/constructs in a language. For example, a newspaper-based corpus might have frequent occurences of city names or names of politicians, whereas they might not occur that often in real everyday speech, because many people don't actually talk about those politicians all day long. Or, alternatively, names of small cities might have a frequency of 0.

Naturally, he will, and does, also dismiss anything that occured in the ML field in the past decade.

But I agree with the article. Dealing with language only in a theoretical/mathematical way, not even trying to evaluate your theories with real data, is just not very efficient and ignores that language models do seem to work to some degree.

Due to upcoming EU regulations they most likely have to update their policy.

It's a language model trained to return the most likely answer given a specific prompt. The goal of the answer is, to simulate a conversation and to sound realistic. ChatGPT is not grounded in reality, it does not know where its "knowledge" comes from, nor does it know whether the things it is saying are correct or wrong.

It can't tell it's wrong, it just reacts in a plausible well to you telling it it's wrong (acknowledging it and giving another explanation). Since ChatGPT is an expansion of GPT-3, those things won't be really solved since being somewhat of a knowledge base is a nice side effect, not the main goal of the model.