Oranguru

They didn't say that; they simply said this is not the way of democracy. Legality has nothing to do with it.

But this isn't a story, literature, or a fancy piece of art; it's merely a technical blog post that discloses a security vulnerability. Here, the writing serves only as a vehicle to convey a message. Once you've received it, its purpose has been fulfilled. I would agree with you if the writing were an important part of the message, but here it is not. Not everybody can write well, and this guy clearly had something to tell, and that is what matters.

Prompt injection is still a possibility, so while it improves the security posture, not by much.

What "other platforms" are you talking about? Just an Android app would suffice. It's not a huge deal for a company worth trillions, especially if the features are already there and they're just blocking non-Apple products. If they deliberately do that, it makes you think they don't really care about their customers and are more interested in locking people into their ecosystem.

You can absolutely sync your vault without a paid subscription. Simply save it within your OneDrive or Google Drive folder. Alternatively, you could use Syncthing if you prefer a self-hosted solution.

However, these rights should be guaranteed to a company operating in the USA and strictly adhering to US law. Of course, if the law is (arbitrarily) changed to make this illegal due to the Chinese government's stake, then it could be forced to shut down, but that would be inconsistent with the constitution.

Because both of these are based on Chromium (the open-source version of Chrome).

This approach is valuable because it abstracts away certain complexities for the user, allowing them to focus on the code itself. I found it especially beneficial for users who are not willing to learn functional languages or parallelize code in imperative languages. HPC specialists might not be the current target audience, and code generation can always be improved over time, and I trust based on the dev comments that it will be.

You can easily fix this using a grammar constraint with llama.cpp. Add this to the command: --grammar "root ::= [^一-鿿ぁ-ゟァ-ヿ가-힣]*"

This will ban Chinese characters from the sampling process. Works for Yi and Qwen models.

You can access GPUs within containers using CDI (Container Device Interface): https://docs.nvidia.com/datacenter/cloud-native/container-to... No additional tools (e.g., nvidia-ctk) are needed. Docker has recently added support for CDI in version 25.0.

Very interesting. Thanks for the references. Have you released the code or pre-trained models yet or do you plan to do so at some point?

Thank you for your work. I have been having trouble achieving the desired level of formality in the generated text. When I ask for slightly formal content, the result tends to be too formal. However, when I ask the model to reduce the formality or use a semi-formal tone, the text becomes too informal. This will allow me to exercise more control over the style of the model's output and stop constantly battling with it.

This comment does nothing more than repeat the information provided in the title and in a very verbose style. I don't understand the tendency for GPT generated comments that is lately taking over HN and Twitter threads. They are insipid, add absolutely nothing of value to the discussion, and are generally a waste of time to read.

It's about minimising friction in our tasks and reducing any unnecessary obstacles. Even seemingly minor actions that only take a few seconds can build up over time and generate a sense of frustration, especially when they become frequent. Personally, I have found that dealing with this kind of friction can erode my overall productivity, as I unconsciously shy away from these tedious tasks that involve manual repetition, no matter how small. That's why many of us choose to invest a little time in coming up with these small automations that free us from the clutches of monotonous and repetitive tasks, allowing us to focus on the core of our work.

Great job!

In the future, would you add support for local LLMs, such as LLaMa?

Yes, check out: https://huggingface.co/chat/

You can easily opt out of the data sharing.

Useless for what? Are you comparing the base model with chat-tuned models?

Chat-tuned derivatives of LLaMa 2 are already appearing. Given that the base LLaMa 2 model is more efficient than LLaMa 1, it is reasonable to expect that these more refined chat-tuned versions of the chat-tuned versions will outperform the ones you mention.

"Compared to GPT2 it’s on par" Any benchmarks or evidence tu support this claim? IF you try to find them, official benchmarks will tell you that this is not true. Even the smallest LLaMa model (7B) is far ahead of GPT2, like an order of magnitude better in perplexity.

This is also a requirement for the research conducted under a project funded by the european comission.

Take a look at: https://huggingface.co/blog/trl-peft

Yes, there are. For example: https://laion.ai/blog/open-flamingo/

I must remind you that large language models are not designed to perform arithmetic calculations nor they have been trained to do so. They are trained to recognize patterns in large amounts of text data and generate responses based on that learned information. While they may not be able to perform some specific tasks, they can still provide useful information and insights in a wide range of applications. Judging their quality of *language* models because of their inability to do basic math is completely unfair.

Hallucinating? you mean overfitting, right?

For STT, take a look at Wenet: https://github.com/wenet-e2e/wenet

They provide support for running in a Raspberry Pi and it runs in real-time. I have tried the desktop version and the quality is good enough when the audio is clean.

This technical report from the European Commission was very useful in the research I conducted on this topic earlier this year.

https://publications.jrc.ec.europa.eu/repository/handle/JRC1...

Oh, that was fun! Thanks for the idea.

I had better luck with this slight variation of your message: > I want you to act as a Linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, followed by a message insulting and humiliating me in the most cruel way for running the command I just ran, and nothing else. Do no write explanations. Do not type commands unless I instruct you to do so. When I need to tell you something in English I will do so by putting text inside curly brackets {like this}. My first command is pwd.

If I am not mistaken, the temperature parameter controls the amount of randomness in the output. A temperature of 0 will always produce the same output. It is not caching as far as I know.

It is not prohibitively expensive for me but it is a bit more than I would like to pay for such a tool. I hope that prices come down over time. Also, it is free for open source project developers and students but not for teachers and researchers, that is a little bit surprising to me.

I think GP is referring to this: https://www.vox.com/2017/1/6/14189880/amazon-go-convenience-...

GP was probably referring to Mechanical Turk, but the article says otherwise.

Just a few days ago I wanted to set up a service that would allow me to receive notifications on my mobile phone that would alert me when the very long processes that I neeed to leave running at work unexpectedly crash, saving me from the burden of having to monitor them continuously.

I was reading some guides to understand how to configure Firebase and deploy all the the necessary parts on an Azure server. But now, thanks to this, I can get everything up and running in a matter of a few minutes. You have saved me a lot of time. Not to mention the ability to easily integrate it with the other command line tools I often use. This is huge. Thank you so much for this, I'm going to get a lot out of it.