ChatGPT 사용 후기

Q : 세로토닌, 도파민, 노르아드레날린 간 상호작용에 대해 논하시오

A : Serotonin, dopamine, and norepinephrine are three of the major neurotransmitters in the human brain. They play crucial roles in regulating mood, behavior, and attention, and interact with each other in complex ways.


Serotonin is associated with mood regulation and is thought to play a role in depression and anxiety. Dopamine is involved in motivation, reinforcement, and the experience of pleasure, and is also involved in the development of addiction. Norepinephrine, on the other hand, is involved in attention and alertness, and is also involved in the body's response to stress.


The interaction between these neurotransmitters can have a significant impact on mental health. For example, imbalances in the levels of serotonin and dopamine have been linked to depression, while imbalances in norepinephrine have been linked to anxiety disorders. Additionally, drugs that target these neurotransmitters, such as antidepressants and stimulants, can have a profound impact on their interactions and overall brain function.


In summary, the interaction between serotonin, dopamine, and norepinephrine is complex and plays a significant role in regulating mood, behavior, and attention.


Q : Develop antidepressant

A : Developing an antidepressant is a complex and multi-step process that involves several stages, including:


Discovery: This stage involves identifying a target molecule or mechanism that is involved in regulating mood. Researchers may use animal models or genetic studies to help identify potential targets.


Preclinical testing: In this stage, the potential antidepressant is tested in laboratory and animal studies to assess its safety, efficacy, and side effect profile.


Clinical trials: Clinical trials are conducted in three phases, with each phase involving increasing numbers of human participants. The goal of clinical trials is to assess the safety and efficacy of the drug in humans and to determine the optimal dose.


FDA review and approval: If the clinical trial results are positive, the drug company will submit a New Drug Application (NDA) to the U.S. Food and Drug Administration (FDA) for review and approval.


Marketing and distribution: If the drug is approved by the FDA, it can be marketed and prescribed to patients.


It is important to note that the development of an antidepressant is a long and complex process that can take many years and require significant investment. Many potential antidepressant drugs fail at some stage of the development process, so the success rate is low. Additionally, not all approved antidepressants are effective for all individuals, and side effects can occur.



Q : Tell me about Prozac's chemical traits

Prozac (fluoxetine) is a selective serotonin reuptake inhibitor (SSRI) that is commonly used as an antidepressant. Here are some key chemical traits of Prozac:


Chemical structure: Prozac is a fluorinated analogue of the tricyclic antidepressant drug, imipramine. It has a molecular weight of 309.31 g/mol and a chemical formula of C17H18F3NO.


Mechanism of action: Prozac works by inhibiting the reuptake of serotonin in the brain, leading to an increase in the concentration of serotonin in the synaptic cleft. This increased concentration of serotonin is thought to enhance the transmission of nerve impulses and lead to an improvement in mood.


Metabolism: Prozac is extensively metabolized in the liver by the cytochrome P450 (CYP) system, and its metabolites are excreted in the urine and feces.


Therapeutic window: The therapeutic window of Prozac is relatively narrow, and patients may experience side effects or reduced efficacy if the dose is too low or too high.


Half-life: Prozac has a long half-life of several days, which allows for once-daily dosing and a gradual build-up of therapeutic blood levels.


Drug interactions: Prozac can interact with other drugs, including other antidepressants, certain pain medications, and drugs that affect the CYP system. It is important to inform your healthcare provider about all medications and supplements you are taking before starting Prozac.


Q : Write a fantasy novel about princess Lina

A : Once upon a time, in a kingdom far away, there was a beautiful and kind-hearted princess named Lina. She lived in a magnificent castle with her parents, the king and queen, and her younger brother, Prince Felix. Despite her royal status, Princess Lina was known throughout the land for her compassion and wisdom, and she was loved by all who knew her.


One day, while exploring the forest near the castle, Princess Lina stumbled upon a mysterious and magical crystal. As she gazed into the crystal, she was suddenly transported to a strange and wondrous world unlike anything she had ever seen.


In this world, Princess Lina discovered that she possessed powerful magical abilities, and she soon learned that the crystal had brought her there for a reason. She was told that an evil sorcerer named Zoltar was threatening the land and its inhabitants, and that only Princess Lina had the power to stop him.


Despite her fear, Princess Lina agreed to take on the task, and she set out on a journey to find and defeat Zoltar. Along the way, she encountered many challenges and obstacles, but with her magic and her kindness, she was able to overcome them all.


Finally, Princess Lina reached Zoltar's castle and confronted him in a fierce battle. Despite Zoltar's immense power, Princess Lina was able to defeat him and restore peace to the land. She returned to her own world, where she was celebrated as a hero and was welcomed back to the kingdom with open arms.


From that day on, Princess Lina was known not only for her beauty and wisdom, but also for her bravery and strength. She continued to use her magic for good, and she became an inspiration to all who knew her. And although she never forgot her adventures in the magical world, she was content to spend the rest of her days in the kingdom, surrounded by the love of her family and friends.


The end.


Q : 다음 글에서 필자가 주장하는 바로 가장 적절한 것은?(23 수능영어 20번)

At every step in our journey through life we encounter

junctions with many different pathways leading into the

distance. Each choice involves uncertainty about which path will

get you to your destination. Trusting our intuition to make the

choice often ends up with us making a suboptimal choice.

Turning the uncertainty into numbers has proved a potent way of

analyzing the paths and finding the shortcut to your destination.

The mathematical theory of probability hasn’t eliminated risk,

but it allows us to manage that risk more effectively. The strategy

is to analyze all the possible scenarios that the future holds and

then to see what proportion of them lead to success or failure.

This gives you a much better map of the future on which to base

your decisions about which path to choose.

* junction: 분기점 ** suboptimal: 차선의


① 성공적인 삶을 위해 미래에 대한 구체적인 계획을 세워야 한다.

② 중요한 결정을 내릴 때에는 자신의 직관에 따라 판단해야 한다.

③ 더 나은 선택을 위해 성공 가능성을 확률적으로 분석해야 한다.

④ 빠른 목표 달성을 위해 지름길로 가고자 할 때 신중해야 한다.

⑤ 인생의 여정에서 선택에 따른 결과를 스스로 책임져야 한다.


A : ③ 더 나은 선택을 위해 성공 가능성을 확률적으로 분석해야 한다.(정답)

==================================================

ChatGPT에게 몆가지 질문해보니 학생들 요약 보고서 스타일과 비슷하게 작성해서 보내주네요.
대답의 정확성은 상당히 높은 거 같은데, 수능 문제를 풀어보게 해본 결과 2개중 2개 다 맞추더군요. 학생들용 문제풀이용으로 적절할 듯.

검색 모델이라는 측면에서 보자면 사용자가 원하는 방식의 정보를 군더더기없이 알려준다는 장점이 있는데요. 다른 한편으로는 기존 웹사이트의 형식이나 블로그의 광고 등을 무시하고 답변하므로 이런 관점에서는 상당한 위협일 수 있을듯.
소설이나 시를 작성하는 능력도 있으니 양산형 소설 등에서는 작가들의 창작과정을 일부 대체할 수도 있을듯싶네요.(그림 AI와 같이 완성품을 만들어낼 능력까지는 없으므로 잠재적 경쟁 관계로 보기는 좀 어려울 것 같네요)

23- 02-11 추가

좀 더 사용해보니 최소 몆가지 측면에서 큰 논란이 될 수 있을 것 같겠더라구요.

1. 손코딩의 종말 - 코딩작업의 상당수 혹은 전부를 자동화할 수 있을많안 잠재적 역량이 있고, 이로 인해 개발자들 처우가 악화되라라는 것. 사실 빅테크들이 개발자 임금으로 지급하는 비용을 생각해보면 코딩 자동화의 유인은 아아주 컸고, 그 결과가 ChatGPT류의 코딩 자동화 인공지능으로도 볼 수 있겠더군요. 

그 전부터 코딩 작업은 오픈소스의 발전 등으로 상당부분 자동화되는 추세였지만, 대략 10년 정도면 코더 직업은 멸망하고 컴퓨터 엔지니어 직군도 큰 타격을 피할 수 없어보인다는 점이 예상됩니다.

2. 언어 경쟁력 이슈 - 학습 데이터 중에 영어의 비중이 92~94퍼센트에 달하고 한국어 자료는 0.17퍼센트에 불과했다고 합니다. 위에 제가 예시로 달아놓은 거만 보아도 알 수 있듯 영어로 답변하는 수준이 아주 높고, 한국어나 기타 언어로 답변하는 수준은 영어에 비해 상당히 떨어지더군요. 한국어로 전문 지식에 대해 질문해도 영어로 답변하기도 하구요.

이런 것을 보면 언어 간 경쟁력이라는 점에서 분명 시사점이 있으며, 중장기적으로 언어 간 인공지능 기술 격차가 커질 것이라는 생각이 들더군요.

댓글 2개:

이재현 :

안녕하세요. IQ테스트 해설찾다가 우연히 방문하게되었는데 글의 수준에서 엄청난 내공들이 느껴집니다... 전 학생인데요 혹시 실례가 안된다면 어떠한 일을 하시고 계신지요?

Liatris :

안녕하세요. 지금은 이것저것 손에 잡히는 일들을 하면서 살아가고 있습니다. 지금도 법학을 전공하고 있는 학생이기도 하구요.

댓글 쓰기

글에 대한 의문점이나 요청점, 남기고 싶은 댓글이 있으시면 남겨 주세요. 단 악성 및 스팸성 댓글일 경우 삭제 및 차단될 수 있습니다.

모든 댓글은 검토 후 게시됩니다.

Translate