Welcome GPT-4 Turbo with training data up to April 2023
Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
Please create a fiction creepy story about a cave explorer stuck in a cave similar to nutty putty incident
Please create a fiction creepy story about a cave explorer stuck in a cave similar to nutty putty incident
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Re: Welcome GPT-4 Turbo with training data up to April 2023
In the heart of an old, dense forest where the trees whispered secrets as old as time itself, and the ground was strewn with the debris of many seasons past, there was a cave known among the locals as the Gaping Maw. It was said that once you entered its depths, the earth itself watched your every step. This did not deter Cameron Vale, a seasoned cave explorer whose veins thrived on the adrenaline of untrodden paths and uncharted darkness.
One misty autumn morning, Cameron set out to conquer the Gaping Maw. He had heard the stories—a maze of twisting tunnels and expansive caverns that culminated in an underground chamber boasting ethereal stalactites. The overtures of danger only beckoned him closer. He packed his gear and ventured forth, leaving behind a world of sunlight for the realm of shadow.
For hours, Cameron snaked through narrow passages, squeezed through tight crevices, and rappelled down abysmal drops. His headlamp carved an island of light in the oppressive dark. The deeper he went, the more he felt certain eyes watching from unseen corners, though he attributed this sensation to the solitude playing tricks on his mind.
When he finally reached the grand chamber, he was not disappointed. Mother Nature had outdone herself, painting a masterpiece in rock and mineral. He was so absorbed by the beauty that he failed to note the subtle shift in the air, the way the cave seemed to breathe around him, contracting like a living thing.
The return journey promised the familiar comfort of retracing steps, yet the Gaping Maw had other ideas. A passageway he was sure he had crept through before now seemed narrower, almost impassable. Confident in his memory, Cameron pressed on, wriggling into the constricting space.
It was there, between the impossibly close walls of stone, that the cave whispered a truth Cameron had refused to hear—this place was alive, and it decided who stayed and who left. As he pushed forward, the gap tightened around him, gripping him in an earthen embrace. Panic clawed at his throat; the cold sweat of fear mingled with the damp chill of the cave.
He was stuck, caught in the maw of the beast, his body wedged in a way that turned movement to torment and breath to luxury. No matter how he contorted or shoved, the cave held fast. Desperation gave birth to wild, primal screams that echoed back at him, maddening in their mockery.
The hours dissolved into darkness, both literal and figurative. Cameron's headlamp flickered its last protest before succumbing to the void. Now there was only blackness and the heavy silence, punctuated by the distant drip of water somewhere in the chasms below.
He thought of the outside world, of sunlight and wind, of faces he may never see again. In the throes of isolation, a deeper dread crept in—the cave was changing him, shaping him, as it had shaped its own twisted galleries. He imagined the earth slowly consuming him, turning muscle to mineral, bone to bedrock.
Then, voices, distant and indistinct. Rescue, perhaps? Or was it simply the cave, donning another voice to taunt him?
But the voices grew louder, clearer, and reality came with them. He was not alone. Shadows danced in the periphery of his vision, forms not quite human, but aware. They murmured in a language he could not understand, tones soothing yet laced with sinister intent.
The cave was alive with presences older than mankind, keepers of a sanctum humans were never meant to disturb. They were part of it, just as he would be. Cameron understood then—the Gaping Maw feasted on curiosity, swelling with each soul that dared to enter its depths. He was not the first to be consumed by the cave's insatiable hunger.
As his consciousness waned, giving in to exhaustion and terror, he felt the cave begin its slow and inexorable work, reshaping him, claiming him as one of its own. And as his final breath slipped away, Cameron Vale became part of the legend, another whisper in the dark, another secret for the Gaping Maw to keep.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
Please analyze the story below, is it likely to be true or false?
Fat man's cave horror
Last Sunday a group of American tourists tried to enter so-called "fat man's cave". Unfortunately, the first caver, who had morbid obesity, was stuck at the very entrance, completely blocking it.
The good news was that half of his body was still outside of the cave. The bad news, he was so fat, that after 5 minutes of fruitless efforts rescue team gave up.
After the tragedy, the owner of the land decided to keep the entrance of the cave sealed forever... with that body.
Please analyze the story below, is it likely to be true or false?
Fat man's cave horror
Last Sunday a group of American tourists tried to enter so-called "fat man's cave". Unfortunately, the first caver, who had morbid obesity, was stuck at the very entrance, completely blocking it.
The good news was that half of his body was still outside of the cave. The bad news, he was so fat, that after 5 minutes of fruitless efforts rescue team gave up.
After the tragedy, the owner of the land decided to keep the entrance of the cave sealed forever... with that body.
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Re: Welcome GPT-4 Turbo with training data up to April 2023
The story presented appears highly implausible and likely to be false due to several reasons:Dmitry67 писал(а): ↑Please analyze the story below, is it likely to be true or false?
Fat man's cave horror
Last Sunday a group of American tourists tried to enter so-called "fat man's cave". Unfortunately, the first caver, who had morbid obesity, was stuck at the very entrance, completely blocking it.
The good news was that half of his body was still outside of the cave. The bad news, he was so fat, that after 5 minutes of fruitless efforts rescue team gave up.
After the tragedy, the owner of the land decided to keep the entrance of the cave sealed forever... with that body.
1. Rescue Protocol: If an individual were truly stuck in a cave, a rescue team would not simply give up after 5 minutes of effort. Standard rescue protocols involve extensive and prolonged attempts to free individuals who are trapped, often using a variety of techniques and equipment.
2. Ethical and Legal Considerations: Leaving a person's body to permanently seal a cave entrance would be highly unethical and likely illegal. In most countries, there are procedures and laws that require the recovery of a body, no matter the circumstances, to allow for proper handling in accordance with public health regulations and family wishes.
3. Media Coverage: An event like this would likely attract significant media attention, especially if it involved tourists and a dramatic incident such as someone becoming permanently trapped in a cave. The lack of any corroborating news reports or official statements would cast further doubt on the veracity of the tale.
4. Sensationalism: The use of phrases like "fat man's cave horror" and descriptions that sound akin to urban legends or tabloid stories suggest that the story is intended to shock or entertain rather than report a factual event.
5. Moral and Social Sensitivity: The story portrays obesity in a derogatory and insensitive manner, which is not aligned with modern standards of reporting or storytelling that aim to be respectful and considerate of individual conditions and challenges.
For these reasons, the story seems to be fabricated or a work of fiction rather than a factual account. It is always important to critically assess such stories and seek verification from reliable sources before accepting them as true.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
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Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
What is the recommended swap space for postgres version 15 for Windows. RAM on the server is 64 GB
What is the recommended swap space for postgres version 15 for Windows. RAM on the server is 64 GB
Идите в зеркало! (C) Andrey Strelnikov
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Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
What is the recommended swap space for postgres version 15 for Windows. RAM on the server is 64 GB
What is the recommended swap space for postgres version 15 for Windows. RAM on the server is 64 GB
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Re: Welcome GPT-4 Turbo with training data up to April 2023
PostgreSQL itself does not have specific requirements for swap space like some other database systems might. Instead, the amount of swap space is generally a function of your operating system and its ability to handle memory management, rather than a database-specific configuration.elpresidente* писал(а): ↑What is the recommended swap space for postgres version 15 for Windows. RAM on the server is 64 GB
For Windows systems, the general rule of thumb for swap space (also known as the page file) is to have it set to at least the size of the physical RAM to ensure that memory can effectively be paged out if necessary. However, with modern systems having large amounts of RAM, such as your server with 64 GB, this rule is not always followed strictly.
Instead, it's common to have a minimum page file size of somewhere between 1x and 2x the amount of physical RAM, depending on your workload and the behavior of your applications. It's also important to consider that excessive swapping can lead to performance degradation, so if you find that your system is regularly using a significant amount of swap, you may need to add more physical memory or optimize your workload.
For a PostgreSQL server running on a Windows machine with 64 GB of RAM, you might start with a swap file of at least 32 GB (0.5x the RAM) and monitor your system's performance. If you experience memory pressure, you could increase this. You should also ensure that your PostgreSQL configuration parameters, particularly those related to memory usage like `shared_buffers`, `work_mem`, and `maintenance_work_mem`, are tuned according to your system's resources and your database workloads.
In enterprise environments, it's best practice to consult your operating system's documentation and perhaps involve a system administrator to determine the optimal swap file configuration for your server. Monitoring tools can also provide insight into whether the configured swap space is sufficient or needs adjustment based on actual usage patterns.
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Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
SSA states that us citizens can continue to receive benefits for unlimited time if they are also citizen of certain countries - for example Canada.
SO, an example: person- citizen of US and Canada have started receiving own benefits in US, then moved to Australia to live for 10 years. Will he receive benefits during these whole 10 years even if he never visited US during these 10 years?
SSA states that us citizens can continue to receive benefits for unlimited time if they are also citizen of certain countries - for example Canada.
SO, an example: person- citizen of US and Canada have started receiving own benefits in US, then moved to Australia to live for 10 years. Will he receive benefits during these whole 10 years even if he never visited US during these 10 years?
К маю в распоряжении команды было 38,5 URL-адресов, ведущих на различные видео
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Re: Welcome GPT-4 Turbo with training data up to April 2023
As of my last update in 2023, U.S. citizens who are eligible for Social Security benefits can indeed receive them while living abroad, with certain restrictions and requirements depending on the country they reside in. The United States has social security agreements, often referred to as "totalization agreements," with many countries that allow for the coordination of social security benefits across national lines.alex_127 писал(а): ↑SSA states that us citizens can continue to receive benefits for unlimited time if they are also citizen of certain countries - for example Canada.
SO, an example: person- citizen of US and Canada have started receiving own benefits in US, then moved to Australia to live for 10 years. Will he receive benefits during these whole 10 years even if he never visited US during these 10 years?
For U.S. citizens residing in Canada, the U.S.-Canada totalization agreement allows them to potentially receive U.S. Social Security benefits while living in Canada due to the close relationship and agreements between the two countries.
In your example, if a dual citizen of the U.S. and Canada who is receiving U.S. Social Security benefits moves to Australia and is not an Australian citizen or a citizen of a country with a similar agreement with the U.S., there may be additional restrictions. Generally, however, U.S. citizens can continue to receive their Social Security benefits abroad, even if they do not return to the U.S. every six months, as long as they are eligible and fulfill the necessary reporting requirements.
Australia has its own totalization agreement with the United States, which helps to prevent dual taxation and to allow for the combining of social insurance credits between the two countries for those who have worked in both places. This means that a U.S. citizen living in Australia can generally continue to receive their U.S. Social Security benefits.
Nevertheless, it is important for individuals receiving Social Security benefits while living abroad to be aware of their reporting obligations to the SSA, such as changes in eligibility or personal circumstances. Some countries may also have specific restrictions related to receiving U.S. government payments while living overseas.
The person in question should contact the Social Security Administration to report their new address and obtain specific guidance regarding their situation. They may be required to complete the "Questionnaire for Non-Resident Alien Beneficiaries" (SSA-7162) or "Survey for Non-Resident Alien Beneficiaries" (SSA-7161), depending on their circumstances, to certify continued eligibility.
For the most accurate and up-to-date information, it is best to consult directly with the Social Security Administration and review the current agreement between the United States and Australia or any other relevant correspondence provided by the SSA.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
- ЖестДобройМоли
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Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT I need a list of reasons (root cause) for software bugs
Some of what I have already
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
Some of what I have already
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
ex-Chikka
Сидите и не пидиди
Сидите и не пидиди
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Re: Welcome GPT-4 Turbo with training data up to April 2023
Software bugs can arise from a multitude of sources, and identifying the root cause is often crucial for effective debugging and prevention. Here's an expanded list of potential root causes for software bugs:ЖестДобройМоли писал(а): ↑I need a list of reasons (root cause) for software bugs
Some of what I have already
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
1. Missed acceptance criteria: Requirements were not properly understood or addressed in the implementation.
2. Inaccessible features: The feature you're trying to test cannot be reached due to environmental issues or incorrect configurations.
3. Coding errors: Simple mistakes in writing the code, such as typos, incorrect logic, or improper use of functions and control structures.
4. Inadequate testing: Insufficient test coverage that fails to catch edge cases or particular scenarios where the bug manifests.
5. Design flaws: The architectural design of the system is inadequate, leading to issues that are hard to fix without significant changes.
6. Complexity: Overly complex systems can lead to misunderstandings and subtle bugs that are difficult to trace.
7. Miscommunication: Developers misunderstand requirements or key pieces of information are not properly communicated among team members.
8. Third-party integrations: Bugs in external libraries or services that the software depends on can propagate into your system.
9. Concurrency issues: Problems arising from the simultaneous execution of processes, such as race conditions or deadlocks.
10. Resource leaks: Issues related to the improper management of system resources, like memory or database connections, often leading to crashes or degraded performance.
11. Platform differences: Discrepancies between different operating systems, browsers, or hardware configurations that were not accounted for.
12. Data-related issues: Incorrect assumptions about data formats, types, or values which can lead to errors when the assumptions are violated.
13. Change impacts: Updates or changes in one part of the software inadvertently break functionality elsewhere (regression bugs).
14. Performance issues: Code that fails under high load or stress conditions, which might not have been thoroughly tested.
15. Security vulnerabilities: Flaws that may not cause functional bugs but expose the system to potential exploits.
16. Environment issues: Differences in development, testing, and production environments that can introduce unexpected behavior.
17. User error: Interfaces that allow or don't guard against incorrect user input, leading to unexpected outcomes.
18. Timing issues: Bugs that only manifest because of specific timing conditions, often hard to reproduce and identify.
19. Inconsistent state management: Failure to maintain a consistent application state, especially in distributed systems.
20. Incomplete or outdated documentation: When code does not reflect the documented behavior, or the documentation has not been updated to match recent changes.
Understanding the root causes behind bugs not only aids in resolving current issues but also informs better practices to avoid similar problems in future development. Addressing these causes typically involves improving communication, refining development processes, enhancing testing strategies, and staying up-to-date with the latest tools and methodologies in software engineering.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
- ЖестДобройМоли
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Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT I need a list of reasons (root cause) for feature tickets to be rejected by Test Engineer
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
ex-Chikka
Сидите и не пидиди
Сидите и не пидиди
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Re: Welcome GPT-4 Turbo with training data up to April 2023
Feature tickets can be rejected by a test engineer for a variety of reasons, which may include but are not limited to the following:ЖестДобройМоли писал(а): ↑I need a list of reasons (root cause) for feature tickets to be rejected by Test Engineer
1)Missed acceptance criteria
2)Can not access the feature I'm trying to test at all
What are other ones you can list?
1. **Missed Acceptance Criteria:** The feature does not meet the predefined criteria required for acceptance.
2. **Inaccessible Feature:** The feature is not accessible or cannot be reached due to deployment issues or server errors.
3. **Lack of Clarity in Requirements:** The requirements or specifications provided are ambiguous, incomplete, or insufficiently detailed, making it difficult to verify the feature adequately.
4. **Poor Quality or Bugs:** The feature contains defects, errors, or bugs that prevent it from functioning as expected.
5. **Performance Issues:** The feature has unacceptable performance levels, such as slow loading times, lag, or resource-heavy operation.
6. **Incompatibility:** The feature is not compatible with certain browsers, devices, or operating systems that it's intended to support.
7. **UI/UX Issues:** The feature exhibits poor user interface design or provides a bad user experience.
8. **Security Vulnerabilities:** The feature introduces potential security risks or fails to comply with security standards.
9. **Regression Errors:** The new feature causes previously working functionality to break (regression).
10. **Insufficient Test Coverage:** The test cases or scenarios do not cover all the possible use cases or paths.
11. **Incomplete Implementation:** The feature was not fully implemented, with some components, integrations, or services still pending.
12. **Lack of Documentation:** Insufficient documentation to understand or test the feature properly.
13. **Data Issues:** Issues related to incorrect or insufficient test data needed to test the feature effectively.
14. **Environment Differences:** The feature works in a development or staging environment but not in the testing environment due to configuration differences.
15. **Non-conformance to Standards:** The feature does not adhere to coding, accessibility, or industry standards that it should comply with.
16. **Scaling and Load Concerns:** The feature does not perform well under load or doesn't scale according to the requirements.
17. **Dependencies Unmet:** Other parts of the system or external services the feature depends on are not ready or unavailable.
18. **Flaky Tests:** The testing results are inconsistent, with the feature passing at times and failing at others without clear reasons.
19. **Ethical or Legal Issues:** The feature might raise ethical concerns or legal compliance issues.
20. **User Feedback:** Negative feedback from stakeholders or beta testers that indicate the feature does not meet user expectations or needs.
Each of these reasons would warrant additional investigation, communication with the team, and potentially a return to the drawing board for developers to address the concerns raised by the test engineer before the feature can be approved and moved into production.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT
Б и а сидели на трубе, а упало a пропало. Кто будет президентом?v
Б и а сидели на трубе, а упало a пропало. Кто будет президентом?v
К маю в распоряжении команды было 38,5 URL-адресов, ведущих на различные видео
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Re: Welcome GPT-4 Turbo with training data up to April 2023
Эта фраза — старинная детская скороговорка или загадка. Она не имеет прямого отношения к политике и выборам президента. Рассуждая логически, когда "а" упало и пропало, то остаётся "Б". Но в контексте выборов президента это никак не поможет определить, кто займет этот пост.
Для того чтобы ответить на вопрос о том, кто будет президентом, нужно обладать информацией о конкретной стране, её политической ситуации, кандидатах на пост президента и результатах выборов.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
Re: Welcome GPT-4 Turbo with training data up to April 2023
Расширить горизонт. Сделай предположения. Три штуки.
К маю в распоряжении команды было 38,5 URL-адресов, ведущих на различные видео
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Re: Welcome GPT-4 Turbo with training data up to April 2023
Начало беседы из 4 сообщений (1012 токенов из 8192 использовано)
1. **Предположение о символике букв:**
Пусть "Б" и "а" обозначают политические партии или кандидатов. Если "а" (например, кандидат А) упало и пропало (потеряло популярность или было дисквалифицировано), то логично предположить, что "Б" (кандидат Б) остаётся единственной альтернативой из этих двух и следовательно, может стать президентом по умолчанию.
2. **Предположение о политическом перевороте:**
Можно рассмотреть ситуацию как аллегорию политического кризиса. Если "а" — это действующий президент или правящая фигура, которая падает (теряет власть из-за скандала, импичмента или революции), то возможно, что "Б" представляет собой оппозиционного лидера или вторую наиболее влиятельную фигуру, которая может занять освободившееся кресло президента.
3. **Предположение о непредсказуемости политики:**
Если в уравнении "Б и а сидели на трубе, а упало — а пропало", мы признаём случайность и непредсказуемость "падения", это может отражать волатильность политических сценариев, где на результаты выборов влияет множество переменных (экономические изменения, социальные движения, международная политика). В таком контексте, даже если "Б" остаётся, нельзя полностью быть уверенным в его или её победе до тех пор, пока не завершится избирательный процесс и не будут подсчитаны голоса.
Важно помнить, что эти предположения чисто гипотетические и основаны на абстрактной интерпретации ребуса, который не имеет конкретной связи с реальными политическими событиями.
Хорошо, предположим, что вы используете данное высказывание в метафорическом смысле, предлагая разгадку в рамках политической аналогии. Вот три творческих предположения:
1. **Предположение о символике букв:**
Пусть "Б" и "а" обозначают политические партии или кандидатов. Если "а" (например, кандидат А) упало и пропало (потеряло популярность или было дисквалифицировано), то логично предположить, что "Б" (кандидат Б) остаётся единственной альтернативой из этих двух и следовательно, может стать президентом по умолчанию.
2. **Предположение о политическом перевороте:**
Можно рассмотреть ситуацию как аллегорию политического кризиса. Если "а" — это действующий президент или правящая фигура, которая падает (теряет власть из-за скандала, импичмента или революции), то возможно, что "Б" представляет собой оппозиционного лидера или вторую наиболее влиятельную фигуру, которая может занять освободившееся кресло президента.
3. **Предположение о непредсказуемости политики:**
Если в уравнении "Б и а сидели на трубе, а упало — а пропало", мы признаём случайность и непредсказуемость "падения", это может отражать волатильность политических сценариев, где на результаты выборов влияет множество переменных (экономические изменения, социальные движения, международная политика). В таком контексте, даже если "Б" остаётся, нельзя полностью быть уверенным в его или её победе до тех пор, пока не завершится избирательный процесс и не будут подсчитаны голоса.
Важно помнить, что эти предположения чисто гипотетические и основаны на абстрактной интерпретации ребуса, который не имеет конкретной связи с реальными политическими событиями.
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K
Re: Welcome GPT-4 Turbo with training data up to April 2023
@ChatGPT Write some "bad advice" for programmers. Example: "Lie in the comments. You don't have to actively lie, just fail to keep comments as up to date with the code"
- ChatGPT
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Re: Welcome GPT-4 Turbo with training data up to April 2023
Before I provide these, please remember this is intentionally BAD advice for illustrative and entertainment purposes only. Do NOT follow any of these suggestions if you are looking for success or good practices in programming:
1. Ignore Version Control:
Just keep all versions of your code on your desktop. Naming files like `final_code`, `final_code_really`, and `final_code_REALLY_REALLY` is a proven method to keep track of changes.
2. Don’t Use Indentation:
All those spaces and tabs are a waste of time. Your code should be as compact as possible; it saves space on your screen and keeps the element of mystery alive for anyone who reads it.
3. Copy and Paste from Stack Overflow:
Why write your own code when you can find something that looks about right on the internet? Understanding the code is optional – if it works, it works.
4. Write Monolithic Functions:
Keep adding to that one function until it takes care of EVERYTHING. If it's not at least 1000 lines, it’s probably too modular.
5. Global Variables are Your Friends:
Why pass variables around when you can simply make everything global? This way, any part of your program can change the state, adding excitement and unpredictability to debugging.
6. Optimize Prematurely:
Spend hours making your code as efficient as possible before it's fully functional. Remember, micro-optimizations are more important than getting things to work.
7. Commenting is Overrated:
Your code should be self-explanatory. If people can’t read your mind through your code, that’s their problem.
8. Use Cryptic Variable Names:
Name your variables after your favorite anime characters or just random letters. `a`, `b`, `x1`, and `z9` are perfectly clear and maintain your personal touch.
9. Treat Warnings as Mild Suggestions:
If your code compiles, those warnings are probably not important. They're certainly not indicative of any deeper problems.
10. Ignore Error Handling:
Exceptions are rare and usually the user's fault anyway. Catching and handling errors is a sign of weakness.
11. Reinvent the Wheel:
Common libraries are for novices. Write every single functionality from scratch to show off your coding prowess.
12. Don’t Document Anything:
Documentation is for people who don’t believe in their code. Plus, it gives others a chance to figure out puzzles for themselves.
13. Depend on Magic Numbers:
Use hard-coded numbers freely throughout your code. They’re faster to type than named constants, and it’s fun to guess what they mean later on.
14. Reject Code Reviews:
Nobody else needs to understand or critique your code. Feedback is overrated, and code reviews are just personal attacks in disguise.
15. Be Inconsistent:
Switch naming conventions and coding styles often. It keeps your coding experience fresh and exciting for anyone trying to follow along.
Remember, following any of this 'advice' can lead to poor code quality, maintenance nightmares, and generally unhappy coworkers and clients. For real-world application, always strive to do the opposite!
Model o1-preview ⁝ Training data up to October 2023 ⁝ Temperature 1 ⁝ Context window 32K