The tingling and palpitations that have been spreading throughout the body can be caused by several conditions. Here are some possibilities based on the search results:

• Episodic Neurologic Symptoms: Patients with this condition usually complain of severe apprehension, dizziness, chest discomfort, palpitations, or fear of "losing control." The onset is usually under age 40[1].
• Heart Attack or Panic Attack: Both conditions can cause chest pain, shortness of breath, dizziness, sweating, passing out, tingling, or a sensation of impending doom. These shared symptoms of heart and panic attack may also be caused by other serious conditions such as blood clots, lung infection or collapse, or tear in the large vessels of the chest for patients with certain pre-existing risk factors[2].
• Atrial Fibrillation: The most obvious symptom of this condition is heart palpitations, where the heart feels like it's pounding, fluttering, or beating irregularly, often for a few seconds or

To download a website for offline browsing using wget, you can use the following command:

 bash

    
wget --recursive --no-clobber --page-requisites --html-extension --convert-links --restrict-file-names=windows --domains example.com --no-parent http://www.example.com

  

Replace example.com with the website you want to download. This command will download the entire website, including all the elements that compose the page (images, CSS, etc.), and convert the links so that they work locally and offline[1].

Here's a brief explanation of the options used in the command:

• --recursive: Download the entire website recursively.
• --no-clobber: Don't overwrite existing files.
• --page-requisites: Download all the elements required to display the page properly (images, CSS, etc.).
• --html-extension: Save files with the .html extension.
• --convert-links: Convert links so that they work locally and offline.
• --restrict-file-names=windows: Modify filenames so that they wor

Bing (multimodal) image input is free!

I couldn't find this using the search.

To limit your Python requests to 1.39 requests per second, you can use the time.sleep() function from the time module to introduce a delay between requests. You can also use third-party libraries like pyrate-limiter, requests-ratelimiter, or ratelimiter to achieve rate limiting.

Here's an example using the time module:

 python

    
import requests
import time

urls = [...]  # List of URLs to send requests to

for url in urls:
    response = requests.get(url)
    print(response.status_code)
    time.sleep(1 / 1.39)  # Introduce a delay to achieve 1.39 requests per second

  

Alternatively, you can use the pyrate-limiter library:

 python

    
from pyrate_limiter import Duration, RequestRate, Limiter
import requests

rate_limit = RequestRate(1, Duration.SECOND / 1.39)  # 1 request per 1.39 seconds
limiter = Limiter(rate_limit)

urls = [...]  # List of URLs to send requests to

for url in urls:
    with limiter:
        response = requests.get(url)
        print(response.status
  

To avoid defining the sqlite3.Connection and sqlite3.Cursor in many functions throughout your code, you can use the following approaches:

1. Use a context manager: Create a context manager that handles the connection and cursor creation, as well as closing the connection when done. This way, you can use the with statement to manage the connection and cursor in your functions.

 python

    
import sqlite3

DB_FILE = "your_database_file.db"

class DatabaseConnection:
    def __enter__(self):
        self.conn = sqlite3.connect(DB_FILE)
        self.cursor = self.conn.cursor()
        return self.cursor

    def __exit__(self, exc_type, exc_val, exc_tb):
        self.conn.commit()
        self.cursor.close()
        self.conn.close()

def insert_post_to_db(issue: Issue, lemmy_post_id: int) -> None:
    with DatabaseConnection() as cursor:
        cursor.execute(
            "INSERT INTO posts (issue_url, lemmy_post_id, issue_title, issue_body) VALUES (?, ?, ?, ?)",
            (is
  

I wanted to start a discussion about the use of AI-generated solutions on Programming.dev. Personally, I've found that AI-powered tools have been incredibly helpful in solving programming questions. I won't name any specific commercial software, but I use one that combines GPT-4 and web search to get more factual information. I write some answers I think I might revisit to the ShareGPT community, but I would prefer posting programming solutions to this instance. However, I'm not sure if AI-generated solutions are welcomed on programming.dev. I'd love to hear your thoughts on this. If AI-generated responses are accepted, how should we format the answers, should we just copy paste without quoting, should we quote the model, just mention that it's AI-generated,...?

I'm wondering if it's possible to see the local feed of another instance from the one I'm using. I'm interested in exploring content from other instances without having to visit every single community, but I'm not sure how to do it. I've tried searching for a way to do this on the documentation and using the Lemmy search, but I haven't found any clear instructions. Does anyone know how to see the local feed of another instance? Any help or guidance would be greatly appreciated!

In Lemmy, the active filter view is designed to prioritize posts with the latest activity, similar to how forums work. However, it remains unclear whether commenting on your own post in Lemmy will bump it on the active filter view. Some forum platforms, such as Discourse, allow a practice known as the "ghost bump," where users can make a post and delete it to draw attention to their post without adding new content[^1]. While it is uncertain if this is possible on Lemmy, it's worth noting that even if it were, it would result in an unnecessary comment that cannot be completely removed. The comment would still be visible, indicating that it was deleted by the post's creator. If you have any experience with Lemmy's active filter view or know whether commenting on your own post bumps it, please share your thoughts in the comments below.

[^1]: What is "Bumping Topics"

As an enthusiastic supporter of Lemmy, I am eager to contribute to the project. However, I hold strong reservations about writing a single line of code for a project hosted on a Micro$oft server. While I have created a few issues on GitHub, I firmly believe that my contributions could be significantly amplified if there were a mirror of Lemmy that utilized Forgejo hosting outside the United States. I would be absolutely delighted to have the opportunity to contribute more actively to this incredible project if such an alternative hosting option were available.

GPT-4's details are leaked.

It is over.

Everything is here: https://archive.is/2RQ8X

Parameters count:

GPT-4 is more than 10x the size of GPT-3. We believe it has a total of ~1.8 trillion parameters across 120 layers.

Mixture Of Experts - Confirmed.

OpenAI was able to keep costs reasonable by utilizing a mixture of experts (MoE) model. They utilizes 16 experts within their model, each is about ~111B parameters for MLP. 2 of these experts are routed to per forward pass.

MoE Routing:

While the literature talks a lot about advanced routing algorithms for choosing which experts to route each token to, OpenAI’s is allegedly quite simple, for the current GPT-4 model.

There roughly ~55B shared parameters for attention.

Inference:

Each forward pass inference (generation of 1 token) only utilizes ~280B parameters and ~560 TFLOPs. This contrasts with the ~1.8 trillion parameters and ~3,700 TFLOP that would be required per forward pass of a purely dense model.

**Datas

Summary:

Focused Transformer: A new technique for long-context language modeling. The paper introduces Focused Transformer (FOT), a method that uses contrastive learning and external memory to improve the structure of the (key, value) space and extend the context length of transformer models. FOT can fine-tune existing large models without changing their architecture and achieve better performance on tasks that require long context.

LONGLLAMA: Extending LLaMA’s context length with FOT. The paper demonstrates the application of FOT to fine-tune OpenLLaMA models, which are large language models with memory augmentation. The resulting models, called LONGLLAMAs, can handle a context length of up to 256k tokens and show improvements on few-shot learning tasks such as TREC and WebQS.

Distraction issue: A key challenge for scaling context length. The paper identifies the distraction issue as a major obstacle for using large memory databases in multi-document scenarios. The distract

Recently, I found myself questioning the accuracy of a diagnosis provided by a doctor I visited. Surprisingly, an AI seemed to offer a more insightful assessment. However, I understand the importance of not solely relying on AI-generated information. With that in mind, I'm eager to discover a reputable online platform where I can seek medical advice. Ideally, I hope to find a community where I can obtain multiple opinions to make a more informed decision about my health. If anyone could recommend such a site, I would greatly appreciate it.

Information on the price of insulin in China, Cuba, Laos, North Korea, and Vietnam is not readily available in the search results. However, there is information on the cost of insulin in some other countries. According to the World Population Review, the cost of insulin varies widely by country, with the United States having the highest prices[1]. In 2018, RAND Corporation reported that the manufacturer price for any given type of insulin averaged five to ten times higher in the United States than in all other OECD countries[1]. Novo Nordisk, a major insulin manufacturer, has recently slashed the price of insulin in the United States[3].

A study published in PMC in 2019 examined the prices, availability, and affordability of insulin in 13 low-income and middle-income countries. The study found that median procurement prices of human insulins across the countries ranged from $4.56 to $5.30, with large price variations seen across the countries[4]. The highest prices were found in two

French courts have been imposing disproportionately severe sentences for minor offenses, including 10 months in prison for stealing a can of Red Bull and one year for a homeless boy with schizophrenia caught looting a luxury store. The overwhelmed courts rush cases, provide minimal time for defendants, and prioritize punishment under the instruction of the Justice Minister. Furthermore, the French government is censoring social media and justifying it by claiming to protect public order, but it infringes upon free speech and mirrors tactics used by authoritarian regimes. The justice system exhibits a double standard, favoring the privileged, and creates a class divide, leading to unrest. Ironically, the government compares itself to oppressive nations while undermining democratic principles.

French courts have been imposing disproportionately severe sentences for minor offenses, including 10 months in prison for stealing a can of Red Bull and one year for a homeless boy with schizophrenia caught looting a luxury store. The overwhelmed courts rush cases, provide minimal time for defendants, and prioritize punishment under the instruction of the Justice Minister. Furthermore, the French government is censoring social media and justifying it by claiming to protect public order, but it infringes upon free speech and mirrors tactics used by authoritarian regimes. The justice system exhibits a double standard, favoring the privileged, and creates a class divide, leading to unrest. Ironically, the government compares itself to oppressive nations while undermining democratic principles.

French courts have been imposing disproportionately severe sentences for minor offenses, including 10 months in prison for stealing a can of Red Bull and one year for a homeless boy with schizophrenia caught looting a luxury store. The overwhelmed courts rush cases, provide minimal time for defendants, and prioritize punishment under the instruction of the Justice Minister. Furthermore, the French government is censoring social media and justifying it by claiming to protect public order, but it infringes upon free speech and mirrors tactics used by authoritarian regimes. The justice system exhibits a double standard, favoring the privileged, and creates a class divide, leading to unrest. Ironically, the government compares itself to oppressive nations while undermining democratic principles.

[YANDHI - WAR WITH THE MATRIX (KANYE AI X BIG BABY GANDHI)](https://youtube.com/watch?v=CGyPqImBOjY