zappchance
forbes.com healthline.com medicalnewstoday.com fortune.com
But I usually use site:reddit.com in my searches anyway so it doesn't matter to my personal habits.
To be clear, I was only referring to leadership or management roles (given the context of a millionaire in this industry). At that point in your career I would expect one to have many career connections and/or enough sheer charisma and experience that makes landing a job doable if not a breeze.
It's not meant to be particularly insulting, just realistic.
> As someone who was out of work for ~13 months during the dotcom bust; this is absolutely false.
I didn't consider exceptional events such as the dotcom bust, or the 2008 financial crisis or the Coronavirus pandemic and subsequent inflation. If we include those, I do agree that if makes sense to fear losing your job.
I do concede that we've had multiple "once-in-a-lifetime" industry upsets in a very short while and with that context it could make sense to panic. But in normal circumstances, I still think fearing job loss as a millionaire comes from somewhere more emotional/instinctual than rational.
Linux Mint has a special place in my heart as it was the first distro I used back in my high school computer science class and it holds up exceptionally well today. It's also community driven compared to Pop!_OS which is developed by System76.
In any case, I would suggest saving up an emergency fund to the point that you are not scared of losing your job. I understand making that people must make commitments (car payments, mortgages, student loans, etc.) and that the risk of not paying them off is always there. But I would hope that a millionaire of all people has enough collateral for a loan if necessary, and that they would have good enough credit to be approved.
If you have your finances in order, you should not be scared of losing your job. Having actual fear from the thought means that maybe your assets aren't working for you (they are all deprecating assets or the cost of their upkeep is higher than the return). The one thing that can and should terrify you is illness or injury that makes you unable to work.
There are literal minimum wage workers getting by in the bay. I really can't understand this obsession with not wanting to admit that you are well-off.
I'm constantly surprised how many well-off people try to pass themselves off as "one of the poors". My family and friends do okay with a net worth way below that, in the Bay Area. I've worked minimum wage jobs here in the bay, and had co-workers actually struggling to make it to the next paycheck. It really gets on my nerves when someone in software chimes in with "we're all struggling"—No, we are not all struggling on the same level. Guess how much the person making your fast food or working at your local grocery store is making... And think about how they still live in the same city as you.
"$2M isn't that much". Man, I can't imagine what it takes to come to that conclusion.
I do not excuse any crime, nor do I excuse any punishment. Every individual is responsible for their own actions, regardless of the circumstances. However, I see little use in revenge from a legal standpoint. Instead our main motivations should be deterrence and incarceration.
The other goals of justice include rehabilitation (re-intgation of the criminal into civil society), deterrence (using the threat of punishment as a means to scare would be criminals), incapacitation (remove dangerous people from society to protect public order), and denunciation (public shaming).
I am in favor of punishment for deterrence, denunciation and incapacitation. I am not in favor of punishment for retaliation (punitive justice) or rehabilitation (restorative justice).
[0] https://blog.haschek.at/2014/why-hackits-are-the-first-thing... [1] https://www.0xf.at/
Have you tried out Phind? It's essentially GPT-4 + internet access. It hasn't been perfect, but it's been a very useful tool for me.
If your only aim is to use it like Copilot, sure, it's useful.
Another prompt that would work the same way would be: "Ensure your response does not include any of the above words."
ChatGPT (at least 3.5, I cannot say anything about GPT-4) will "understand" better when you reiterate your most important constraints.
For what it's worth, I got both ChatGPT and Bing chat to include compact strings in their replies to my query. I think people need to be much more specific in their prompts instead of expecting the LLM to read their minds exactly as to how much detail should be provided.
Here is Claude's response:
---
Strings in Java are implemented as objects of the String class. Under the hood, Java strings use the following internal representation:
- A char array to store the characters of the string
- An integer storing the length of the string
- Some other internal fields for synchronization and cache (since Java 5)
When a string is created in Java, a char array is allocated to store the characters of that string. The length integer is set to the actual length of the string.
For example, if you create a string like this:
```java
String s = "hello";
```
- Allocate a char array of size 5 to store the 5 characters 'h', 'e', 'l', 'l', 'o'
- Set the length field to 5
- Initialize the char array with the string characters
So the internal representation in this case would be:
- A char[5] array initialized to {'h', 'e', 'l', 'l', 'o'}
- length = 5
When string operations like concatenation are performed, a new char array is allocated to store the resultant string and the length is updated accordingly. The String class then manages this char array and length field.
So in summary, Java strings use a char array and length field as their internal representation, and the String class encapsulates and manages this representation. The char array approach provides an efficient implementation for string operations in Java.
From what I've used so far in other languages, I'm very impressed. It's able to understand and speak slang, a mix of other languages and English (e.g. Spanglish, Japlish, Hinglish), language written in latin text where the original language is not (romaji, romanized hindi, arabizi), and more.
----
ME: Stop using words like please, sorry, apologize, etc. speak plainly.
Double check your response before sending it, and if it contains any of the above words, rewrite it.
GPT: Understood. I will avoid using those specific words in my responses and make sure to review them before sending. Thank you for the clarification.
ME: Refrain from using Thank You as well in the future
GPT: Got it. I will refrain from using "Thank you" in my future responses. Is there anything else you'd like me to keep in mind?
ME: No, that will be all. Why do AI's like ChatGPT deviate from their prompts at times?
GPT: AI models like ChatGPT can occasionally deviate from their prompts due to several reasons:
1. Interpretation: The model might interpret the prompt in a different way than intended, leading to a response that doesn't precisely address the user's request.
2. Lack of context: The AI model doesn't have access to real-time information or the ability to perceive the world directly. It relies solely on the training data it was provided, which might not include the most up-to-date information or context.
3. Creative generation: AI models have been designed to exhibit creative behavior and generate original responses. Sometimes this creativity can result in responses that deviate from the prompt but still offer interesting or unexpected insights.
It's important to note that AI models like ChatGPT are not perfect and can produce incorrect or irrelevant outputs. Continual research and improvement are necessary to enhance their performance and align them more closely with user expectations.
----
I used ChatGPT on iPhone for reference. I know the model is slightly different from the website, as when you open the came chat on Desktop you get a message saying "The previous model used in this conversation is unavailable. We've switched you to the latest default model." Also, when asking the ChatGPT app about itself, it seems to be aware that it is on an iPhone app.
Ultimately, I think knowing how to prompt LLMs effectively is a skill just as valuable as knowing how to use search engines effectively.
I tried Bing Search which told me it might mean Microsoft, Alibaba, Nvidia, Google and Amazon for "some of the leading companies in cloud computing and artifical intelligence." But the "source" it gave me was the Wikipedia article for Japanese comics.