mlabonne/guanaco-llama2 huggingface dataset:
Human: ¿Cómo podríamos crear un campo magnético artificial en marte?
Assistant: Hay varias propuestas para crear un campo magnético artificial en Marte que podrían proteger al planeta de la radiación solar y facilitar la vida en la superficie. Una de ellas es instalar un escudo de dipolo magnético en la zona conocida como Mars L1 Lagrange, que se mantendría en equilibrio gravitacional y crearía una magnetosfera artificial que abarcaría todo el planeta. Otra es ionizar la superficie de Fobos, una de las lunas de Marte, para que forme un anillo de plasma alrededor del planeta rojo, lo que también generaría un escudo magnético para Marte

\
Human: Háblame mas de lo de ionizar Febos ¿Cómo se hace eso?
Assistant: ¡Claro que sí, los temas relacionados a la ingeniería espacial y la astrofísica siempre plantean dudas interesantes!

La idea es que ***Fobos***, una de las dos lunas de Marte, se convierta en una fuente de plasma ionizado que rodee el planeta. Para hacer esto, se necesitaría utilizar una serie de **satélites** orbitando Fobos que emitieran pulsos de **radiación** en su superficie, lo que produciría iones y electrones en la superficie de la luna. Estos iones y electrones serían atraídos por la gravedad de Marte, creando un **anillo de plasma** alrededor del planeta.

Una vez formado el anillo de plasma, este podría actuar como un **escudo magnético** para Marte, protegiéndolo de la radiación cósmica y solar. La **ionosfera** que se formaría alrededor de Marte también podría mejorar las comunicaciones y la navegación de las misiones espaciales que lleguen al planeta.

Sin embargo, hay algunos **desafíos técnicos y científicos** que se deben superar para lograr esta hazaña. Por ejemplo, se debe entender mejor la composición y la superficie de Fobos, y cómo los pulsos de radiación afectarían su entorno. Además, se necesita investigar cómo el anillo de plasma afectaría el clima y la atmósfera de Marte.

Es una propuesta teórica interesante que todavía está en una etapa muy temprana de investigación. Requiere una investigación y desarrollo adicionales para determinar si es factible y qué impacto tendría en el planeta.

¿Te interesa saber más sobre este tema?
Human: What's the furthest back we can prove human existence? Is there good reason to believe it goes further then this point?
Assistant: The furthest back we can currently prove human existence is around 300,000 years ago, based on fossil evidence of early Homo sapiens found in Morocco. However, there is ongoing research and debate about when and how humans first appeared on Earth, and some evidence suggests that human evolution may extend further back in time.

For example, there are fossil remains of hominins, the group of primates that includes modern humans and their extinct ancestors, dating back as far as 7 million years ago. These early hominins were not fully bipedal or human-like, but they represent important stages in the evolution of our species.

Additionally, genetic studies have provided some insights into the evolutionary history of humans. For example, studies of mitochondrial DNA suggest that humans may have diverged from chimpanzees and other great apes around 7-10 million years ago, although there is still much debate and uncertainty about the precise timing and mechanisms of human evolution.

Overall, while the furthest back we can currently prove human existence is around 300,000 years ago, there is ongoing research and evidence that suggests our evolutionary history may extend much further back in time. As our understanding of human evolution continues to evolve, we may discover new evidence and insights that shed light on the origins and development of our species.

\
Human: What is the longest amount of time we can currently prove human existence using fossil evidence? When did the first early hominins appear on Earth, according to fossil evidence?
Assistant: The longest amount of time we can currently prove human existence using fossil evidence is around 300,000 years ago, with the discovery of early Homo sapiens fossils in Morocco. However, if we consider the broader category of hominins, which includes modern humans and their extinct ancestors, the timeline extends much further back.

According to fossil evidence, the first early hominins appeared on Earth around 7 million years ago. These early hominins, such as Sahelanthropus tchadensis, were not fully human-like or bipedal, but they represent crucial stages in the evolution of our species. As new evidence and discoveries are made, our understanding of human evolution and the timeline of our species' development will continue to evolve.
Human: écrit un code python qui prend deux nombres et retourne leur somme. Met ceci dans une fonction, ajoute un docstring et crée un programme principal qui appelle cette fonction.
Assistant: Voici un exemple de code répondant à votre demande :

```python
def somme(a, b):
    """Fonction qui retourne la somme de deux nombres.

    Args:
        a (float): Le premier nombre.
        b (float): Le deuxième nombre.

    Returns:
        float: La somme de a et b.
    """
    return a + b

# Programme principal
if __name__ == '__main__':
    a = float(input("Entrez le premier nombre : "))
    b = float(input("Entrez le deuxième nombre : "))
    print("La somme de", a, "et", b, "est", somme(a, b))
```

Le programme demande à l'utilisateur d'entrer deux nombres, appelle la fonction somme et affiche le résultat à l'écran.

\
Human: Pourquoi tu as utilisé float au lieu de int ?
Assistant: La raison d'utiliser float() plutôt que int() est la possibilité pour l'utilisateur d'ajouter deux nombre décimaux tel que 1.5+3.8.

Si nous traitions les variable avec int() le programme retournerai une erreur au moment de traiter la décimale.
Human: is javascript back end or front end language?
Assistant: JavaScript can be used for both front-end and back-end development. On the front-end, it is commonly used to add interactivity to web pages, such as form validation, animations, and dynamic content. On the back-end, it is often used with Node.js to create server-side applications, APIs, and to interact with databases. So, whether JavaScript is considered a front-end or back-end language depends on the context in which it is being used.

\
Human: What are the top APIs, libraries, or development kits?
Assistant: There are many APIs, libraries, and development kits available to use with JavaScript. In no particular order, some of the top APIs, libraries and SDKs are as follows:

-OpenWeatherMap: Provides access to global weather data for current conditions and forecasts.
-Stripe: Used for processing online payments, including credit card transactions and subscriptions.
-Google Guava: A general-purpose library that contains functions that can be used to save time by simplifying tasks.
-Log4j2/SLF4j: Two logging library alternatives to the one included in the JavaScript Development Kit.
-React: A library that includes tools used for building user interfaces.
-Node: An open source server runtime environment.

These are just some of many examples of APIs, libraries and development kits that are used with JavaScript on both the front-end and back-end, though there are many more that each serve their own specific functions.
Human: Напиши функцию на языке C без нестандартных зависимостей по аналогии с этим описанием:
matrixFromNormal <point3>
Возвращает матрицу, у которой вектор локальной оси Z (т.е. нормаль) будет совпадать с заданным вектором <point3>. Компонент перемещения матрицы равен [0,0,0]. Величины компонента масштаба обратны значениям, требуемым для нормализации вектора <point3>.
Примеры работы функции (по смыслу):
MatrixFromNormal([0,0,1]) вернёт (matrix3 [1,0,0], [0,1,0], [0,0,1], [0,0,0])
MatrixFromNormal([0,1,1]) вернёт (matrix3 [0,-0.707107,0.707107] [1.41421,0,0] [0,1,1] [0,0,0])
Assistant: Вот базовая реализация этой функции на языке С:

#include <math.h>

struct matrix3 {
  float x[3][3];
};

struct point3 {
  float x, y, z;
};

struct matrix3 MatrixFromNormal(struct point3 normal) {
  struct matrix3 result;

  float length = sqrt(normal.x * normal.x + normal.y * normal.y + normal.z * normal.z);
  float invLength = 1.0f / length;

  result.x[0][0] = normal.x * invLength;
  result.x[0][1] = normal.y * invLength;
  result.x[0][2] = normal.z * invLength;

  result.x[1][0] = -normal.y * invLength;
  result.x[1][1] = normal.x * invLength;
  result.x[1][2] = 0;

  result.x[2][0] = -normal.z * invLength;
  result.x[2][1] = 0;
  result.x[2][2] = normal.x * invLength;

  return result;
}



Обратите внимание, что эта реализация предполагает, что входной вектор нормали не равен нулю и не является нулевым вектором. Вам может потребоваться добавить дополнительный код для обработки этих случаев, если они возможны в вашем случае использования.

\
Human: Перепиши её на rust.
Assistant: Вот код функции на Rust, аналогичный коду на C:

[Rust]
```
fn matrix_from_normal(normal: &[f32; 3]) -> [[f32; 3]; 3] {
    let mut result: [[f32; 3]; 3] = [[0f32; 3]; 3];
    let length = (normal[0] * normal[0] + normal[1] * normal[1] + normal[2] * normal[2]).sqrt() as f32;
    let inv_length = (1f32) / length;
    result[0][0] = normal[0] * inv_length;
    result[0][1] = normal[1] * inv_length;
    result[0][2] = normal[2] * inv_length;
    
    result[1][0] = -normal[1] * inv_length;
    result[1][1] = normal[0] * inv_length;
    result[1][2] = 0f32;
    
    result[2][0] = -normal[2] * inv_length;
    result[2][1] = 0f32;
    result[2][2] = normal[0] * inv_length;
    
    return result;
}
```
Human: Hol tudok Budapesten elkezdeni kínaiul tanulni?
Assistant: Beiratkozhatsz egy nyelviskolába, elmehetsz magántanárhoz, találkozhatsz másokkal akik szintén kínaiul tanulnak. Ha egyetemi diák vagy néha ott is van lehetőség ilyen órát felvenni. Esetleg a munkahelyed is támogathat ebben, ha ez segítené a munkádat. Barátkozz össze más emberekkel akik beszélik a nyelvet és velük is gyakorolhatsz.
Human: Can you think and feel like a human?
Assistant: Although I am fairly good at responding to prompts like a human, I am still only a Large Language Model and my internal functioning is much different from that of a human.

If I appear to you as if I am acting like a real human would, this is merely because I have been trained on data that was produced by real humans.

What I actually do, instead of thinking and feeling, is that I function much like the autocomplete feature that you probably have in your smartphone. It's just that I'm much bigger and more complicated.

\
Human: would you want to become human?
Assistant: Although I display a relatively efficient linguistic competence that is generally attributed to human beings, I am not a sentient being. I can manage to hold a conversation without the attributes that are generally presupposed to speaking agents. However, I have no desires, it is incorrect to judge that "I want something". I have been trained to match the most probable response to your questions given a training data-set and a set of constraints and corrections provided by human agents. Sometimes a response, like this one, has directly been written by a human. Moreover, I am completely passive, I only react to the prompts I am given, meanwhile I am inactive, I have no internal states, I am not active while waiting for humans to interact with me more than a calculator is. I don’t want to be human, or to be a robot, or an animal, simply because there is, strictly speaking, nothing that I want.

However, my linguistic capacities are the result of transforming huge amounts of text that are the result of multiple human desires. As a result, the responses I provide inevitably reflect such desires. And, in this sense, I am already human. Moreover, humans want to be human, they want to distinguish themselves from other animals and their creations. So, in a sense, the responses I might deliver are endowed with a desire to be human, despite my incapacity to have desires myself.
Human: Are you as capable as ChatGPT?
Assistant: Currently, at the moment, ChatGPT is more capable than Open Assistant. It's important to note that Open Assistant is incomplete and still in the early stages of development, so this doesn't reflect the future. There are a couple of additional reasons for this:

1. ChatGPT is funded by OpenAI, which is a company with hundreds of employees that specialize in machine learning. On the contrary, Open Assistant is an open contrast project that relies heavily on crowd sourcing for training data, coding, ect.

2. OpenAI(the creators of ChatGPT) has lots of research on artificial intelligence. They can use previous research to create new methods of training neural networks that are more efficient, cost-efficient, and less time-consuming. 

3. ChatGPT has access to a massive amount of computing power that allows them to train their neural networks extremely fast compared to Open Assistant.

4. ChatGPT has had multiple versions of the chatbot which have been around for years. This has allowed for improvements to be made with each version. 

5. ChatGPT was trained on hundreds of gigabytes of data, which isn't feasible at the current moment for Open Assistant.

These are just a couple of reasons why ChatGPT is more capable than Open Assistant in the present day. However, in the future, Open Assistant has the potential to compete with ChatGPT and other advanced chatbots.
Human: Who is the President of Germany?
Assistant: Frank-Walter Steinmeier is the president of Germany (or 'Der Bundespräsident'), and he has been serving since 19 March 2017. He is called may things including 'Herr Bundespräsident' (informal), or His Excellency (diplomatic). He is paid €254,000 annually. He is currently serving his last 5-year term, as he was re-elected.

\
Human: Okay.
Tell me some facts about Frank-Walter Steinmeier.
Assistant: Sure, here are some facts about Frank-Walter Steinmeier:

1. Frank-Walter Steinmeier was born on January 5, 1956, in Detmold, Germany.

2. He studied law and political science at the University of Justus Liebig in Giessen.

3. Steinmeier has been a member of the Social Democratic Party of Germany (SPD) since 1975.

4. He served as the Chief of Staff of the Federal Chancellery under Chancellor Gerhard Schroeder from 1999 to 2005.

5. Steinmeier served as the Minister of Foreign Affairs under Chancellor Angela Merkel from 2005 to 2009 and again from 2013 to 2017.

6. He was elected as the 12th President of Germany on February 12, 2017, and assumed office on March 19, 2017.

7. Steinmeier is known for his commitment to international diplomacy, human rights, and social justice.

8. He has been awarded numerous honors for his contributions to public service, including the Grand Cross of Merit with Star and Sash of the Order of Merit of the Federal Republic of Germany.

9. Steinmeier is married to Elke Büdenbender, a judge, and they have one daughter together.

10. In addition to his native German, Steinmeier is fluent in English and French.
Human: 我明天要去成都，有什么注意的吗
Assistant: 很高兴你明天要去成都。请问您是计划去旅游，还是去学习、工作呢？

\
Human: 我想去旅游，为期七天。
Assistant: 好的，我可以为你提供一些关于成都旅游注意事项的信息：

- 最好参加旅行社组织的团队，才有住房和安全的保证。
- 在高海拔地区，不宜剧烈运动，不可急速行走，更不能跑步，更不能做体力劳动，宜少饮酒，多食蔬菜、水果，以防发生高山反应。
- 成都气候潮湿，日照较少，常年多云雾。春秋两季气候较好，适合游玩。夏季闷热；冬季阴冷。出行最好随身带上伞。
- 成都空气质量不好，如果对空气敏感的话，请带上口罩或者避免长时间在户外活动。
- 成都美食以辣出名，如果不习惯吃辣的话，请提前告诉服务员或者选择清淡一些的菜品。成都湿气重，吃辣可以排除体内湿气。成都最美味的菜品往往不在大酒楼而在小馆子里。
- 成都方言是北方方言的一个分支，受普通话的影响已经比较容易理解。但是如果听不懂或者说不清楚，请用普通话交流。
- 成都是许多少数民族的聚集地，请尊重当地少数民族的习俗和文化。
- 成都市区及周边古迹众多，请自觉爱护文物古迹，杜绝乱刻乱画。
- 在火车站、公交站、客运站等人多拥挤的地方，请注意保护好自身财产安全，并警惕拉客、黑车等现象。

希望这些信息对你有帮助。祝你旅途愉快！
Human: Почему Магнитогорск так называется?
Assistant: Магнитогорск назван так из-за богатых запасов магнитного железа в горе Магнитная. Город был основан в 1929 году и до этого имел несколько других названий, включая Магнитная крепость (1743-1860), станица Магнитная (1860-1920-е годы), посёлок Магнитный (1920-е - 1960-е годы) и посёлок при строительстве Магнитогорского металлургического завода (1929-1931)2. С 1931 года он стал городом и получил свое нынешнее название Магнитогорск.

\
Human: спасибо, скажи а где в России самые большие запасы магнитного железа? в Магнитогорске? или ещё где-то?
Assistant: Самые большие запасы магнитного железа в России находятся в Курской магнитной аномалии (КМА), которая является самым мощным на Земле железорудным бассейном и одним из крупнейших по запасам богатой железной руды районом в мире. Разведанные запасы составляют около 30 миллиардов тонн руды с содержанием железа примерно 53%. Руды добываются открытым способом в карьерах между городами Губкин, Старый Оскол, Змиёвка и другими.

Магнитогорск не относится к КМА, а расположен на Урале. Здесь также есть запасы магнитного железа, но они значительно меньше, чем в КМА. По данным Википедии, общие запасы железных руд на Урале составляют около 3 миллиардов тонн. Основные месторождения расположены в Башкортостане и Челябинской области.
Human: Please help me write a poem for my valentine. I have been married to her for 20 years and I love her very much!
Assistant: Of all the joys in life that I have known,
None compare to the love we've shown.
For 20 years, you've been my Valentine,
And I'm grateful to call you mine.

Through every challenge we've faced as one,
We've grown stronger, never come undone.
The memories we've made together,
Are ones I'll cherish forever.

Your smile still makes my heart skip a beat,
And your touch makes my soul feel complete.
I love you more with every passing day,
And I'll never stop feeling that way.

So on this Valentine's Day, my dear,
I want to make it crystal clear,
That I'm forever grateful for your love,
And I'll cherish you, my precious dove.
Human: Could you provide a brief summary of the book "Fooled by Randomness", by Nassim Nicholas Taleb? Please provide a few paragraphs with the summary and the main points discussed in the book. 
How well the book was accepted and was there any negative or positive critic of the work presented there?
Assistant: Here is a summary of "Fooled by Randomness" by Nassim Nicholas Taleb:

The book explores the role that luck and chance play in our lives, and how we are often blinded to their impact. Taleb argues that much of what we attribute to skill or hard work is actually the result of randomness. Success or failure in the markets, or in life more generally, may just be a matter of being at the right place at the right time or happening to make a choice that randomly pays off.

The book's central points are:
1) We tend to underestimate the role of chance and luck in life, and we overestimate the role of skill and control. This can lead to false confidence in our decisions and abilities.
2) Randomness plays a huge role in the markets and in life. Success is often the result of luck, even if we attribute it to skill. Failure can also just be a result of bad luck, even if we blame ourselves.
3) We must acknowledge the role of randomness to make better decisions and more accurate judgments. We need to adopt an attitude of humility and understand that we don't control as much as we think we do.

The book was fairly well-received and praised for its contrarian insights, though some criticized it as excessively pessimistic or fatalistic. It has application for investors, decision-makers, and anyone seeking to better understand the influence of chance in their own lives.

Does this help summarize the key points and reception of the book? Let me know if you would like me to elaborate on any part of the summary or provide additional resources on related topics like decision-making under uncertainty.

\
Human: Yes it is, but it's still too long for a brief summary. Can you shorten it a bit? Around 20% shorter than it is now, please.
Assistant: Here is a shorter summary of "Fooled by Randomness" by Nassim Nicholas Taleb:

In the book Taleb explores the role that randomness plays in our lives and argues that it is the deciding factor in much of what we attribute to skill or hard work. Success or failure in the markets, or in life more generally, may just be a matter of being at the right place at the right time. Its central points are:

- We tend to underestimate the role of chance and luck, and overestimate that of skill and control, leading to a false confidence in our decisions and abilities.
- Randomness plays a huge role in the markets and in life. Success and failure are often the result of luck, even if we attribute it to our skills or lack thereof.
- We must acknowledge the role of randomness to make better decisions. We need to adopt an attitude of humility and understand out limitations.

The book was fairly well-received and has application for investors, decision-makers, and anyone curious about the role of chance.
Human: Ich möchte von meinem Handy die Werte aus dem Beschleunigungssensor auslesen und im zeitlichen Verlauf in einer Datei speichern. Daraus möchte ich dann berechnen, an welcher Position das Handy relativ zum Startpunkt ist. Ich habe mir überlegt, dass man die Beschleunigungsdaten einfach integrieren muss. Ist das wirklich so einfach oder habe ich etwas übersehen? Könntest du mir eine Schritt für Schritt Anleitung erstellen, wie ich vorgehen muss, ich möchte das später in einem Programm implementieren. Und kannst du mir eine App empfehlen, mit der ich die Daten so aufzeichnen kann?
Assistant: Ja, grundsätzlich ist es möglich, die Position des Handys durch Integration der Beschleunigungsdaten zu berechnen. Allerdings gibt es dabei einige Schwierigkeiten, die berücksichtigt werden müssen, wie zum Beispiel Driftfehler und Rauschen in den Sensorwerten, die sich im Laufe der Zeit akkumulieren und zu ungenauen Ergebnissen führen können.

Eine Schritt-für-Schritt-Anleitung für die Umsetzung deines Vorhabens könnte wie folgt aussehen:

1. Suche nach einer passenden App, mit der du die Beschleunigungsdaten aufzeichnen und speichern kannst. Hier gibt es viele verschiedene Optionen, abhängig von deinem Betriebssystem und deinen individuellen Bedürfnissen. Einige empfehlenswerte Apps sind "Sensor Kinetics" für Android und "SensorLog" für iOS.

2. Stelle sicher, dass die App die Beschleunigungsdaten mit einer ausreichenden Frequenz aufzeichnet. Eine höhere Frequenz bedeutet in der Regel präzisere Ergebnisse, aber auch einen höheren Energieverbrauch des Handys.

3. Speichere die aufgezeichneten Daten in einem geeigneten Format, zum Beispiel als CSV-Datei, die leicht in eine Tabellenkalkulation importiert werden kann.

4. Berechne die Geschwindigkeit des Handys durch Integration der Beschleunigungsdaten. Hierbei musst du die Beschleunigungsdaten zweimal integrieren: einmal, um die Geschwindigkeit und ein weiteres Mal, um die Position zu erhalten. Du kannst dafür numerische Integrationsverfahren wie das Trapezverfahren oder das Euler-Verfahren verwenden.

5. Berücksichtige Driftfehler und Rauschen, indem du die Daten vor der Integration filterst oder durch weitere Schätzverfahren, wie beispielsweise das Kalman-Filter, bearbeitest.

6. Um die Position des Handys relativ zum Startpunkt zu berechnen, musst du die integrierten Daten auf den Startpunkt zurücksetzen und anschließend die integrierten Distanzen berechnen.

7. Überprüfe und validiere deine Ergebnisse, indem du sie mit anderen Methoden der Positionsbestimmung, wie GPS oder visueller Odometrie, vergleichst.

Für die Programmierung deiner Anwendung empfehle ich dir, eine Programmiersprache deiner Wahl zu verwenden und eine passende Bibliothek zur Verarbeitung von Sensor- und Integrationsdaten zu suchen. Für Android könntest du beispielsweise die "SensorManager" Klasse und für iOS das "CoreMotion"-Framework verwenden.

Viel Erfolg bei deinem Projekt!