📌
Hold on a second, important note
This tab "Logs" is just a collection of personal opinions and memes, in no particular order,
so please don't take it too seriously. Have fun.
📌
About my names
My original name is "Bùi Quang Bảo", where "Bùi Quang" is my family name and "Bảo" is my given name ("Bảo", as in
bảo vật, means "treasure" in Vietnamese).
To avoid confusion when working with non-Vietnamese colleagues and to ensure consistency in academic references,
I have used "Bao Bui-Quang" as my academic name since 2019.
Since then, I have used "Bao Bui-Quang" for almost everything I publish on the internet.
Some people also know me as "Bryan" on Instagram, where I shared my interest in sport motorcycles with the community back in 2024.
You can simply use "Bảo", "Bao" or "Bryan" to communicate with me.
The problems of traditional academic publishing. And why I am biased toward open science.
In academic publishing, a preprint is a version of an article that precedes peer-review. Peer-review is the process where other experts in the same field evaluate a researcher's work before it is published in a journal. It sounds really good, until the giant journals became greedy and they just do not care about science anymore.
With the keyword "the cost of knowledge" or "Elsevier boycott events" on search engines, you can see these kinds of posts:
•
Academic Journal Pricing and Research Dissemination
•
MIT - The Cost of Knowledge
•
Elsevier Statement
•
thecostofknowledge.com
•
Too greedy mass walkout at global science journal
•
University of California boycotts publishing giant
•
Wikipedia - The Cost of Knowledge
Some ironic discussions on Reddit:
•
r/facepalm - "Guess who's a part of the problem" (60K upvotes)
•
r/academia - "Somehow this seems really ironic..."
Those giant journals even lobbying just to make open science look bad and push against open access:
•
Elsevier lobbying UKRI last minute over OA policy
•
r/AskAcademia - "...they have been lobbying and pushing against open access..."
Let's put the money aspect aside, how about the quality aspect? It will be okay if the peer-review process of those journals actually ensures the quality of the research papers they publish. But, does it?
•
r/academia - "Obvious ChatGPT in a published paper"
•
r/academia - "How does this even pass peer review?"
•
r/academia - "This is a real paper in Springer..."
•
Journals infiltrated with copycat papers that can be written by AI
•
AI is Bound to Academic Publishing — ChatGPT is Cleared for Peer Review
I'm definitely not here to say publishing in journals is bad. It's actually kinda cool in my eyes.
If your paper just got accepted by a journal, congrats, your work will be known more by researchers. But it doesn't mean you are the scientific truth. It means "your paper got accepted by a journal", that's all. And if your paper was rejected by a journal, it doesn't mean your work is bad, it just means your work is not aligned with that journal's needs.
The RoBERTa paper was rejected at ICLR 2020. The paper has more than 23K citations now.
The YOLOv3 paper was only published on arXiv preprint server as a "tech report" (the legend Joseph Redmon just doesn't care about publishing in journals). The paper has more than 37K citations now, and YOLO is arguably the most widely used vision detection backbone on edge devices. YOLOv5 even never released a paper, and there is
a funny GitHub issue where people keep asking for a paper.
Let's judge a research paper by actually reading the research paper, and consider it good or bad by how valuable it is to yourself.
My two cents on "AI"
As a person who is interested in both technology (I have a bachelor's degree in computer science)
and art (1K+ people follow
my 3D works on ArtStation since 2022),
I have mixed feelings about "AI".
"Artificial Intelligence", no, there is no actual intelligence here, just probability and statistics powered by strong computing.
"AI", "Deep/Machine Learning", "Agent", "Neural Network", etc. are mostly buzzwords for marketing, they make non-technical people feel a sense of "magic".
Just look at how most of the tech giants use emojis like ✨, 🪄, 🔮 to represent AI features in their apps.
If you ask me whether I support or anti AI, to be honest, I don't know.
Is AI illegal? No. There is no country in the world that totally bans the use of AI. Governments even want to promote these buzzwords.
Is AI unethical? This question is hard, because ethic is such a gray zone. For me, maybe the training process is. Most models were trained (and are still being trained) on all kinds of materials (texts, images, videos, audio, 3D models, etc.) without the authors' consent.
Is AI training reversible? Unfortunately, no. Even if laws are introduced to restrict crawling and scraping now, this is irreversible. The AI models have ALREADY been trained, and all the "*.safetensors" are floating around the "blue nowhere", ready to be downloaded and used, both for good and for bad.
Is AI helpful? Yes. Especially for those who use coding to "talk to" and make computers do what they want, like me.
I barely need to use StackOverflow anymore, and even fine-tune and deploy local LLMs myself.
At the moment, I think developers, or anyone who codes, are the ones who benefit the most from AI.
Is AI harmful? Yes. Deepfake p*rn. Scams. Fake news. And the
dead internet theory.
What about people losing their jobs to AI? I don't think so. No one is losing their job to AI.
However, people may lose their competitive advantage if they refuse to use AI to speed up their work.
Mathematicians did not "lose their jobs" when calculators were invented anyway.
My feelings about AI might best be described as a love-hate relationship. On one hand, I love seeing it advance (the curiosity of witnessing how far mathematics with supercomputers can go). On the other hand, I want it to stop right here (before the internet is dead with full of machine-generated memes).
"AI feels like a production solution, not a creative one. Maybe it's a creative one if you aren't creative..." - Dispatch devs 🗿
Dutch Lady, American Psycho, and Hatsune Miku
Best way to watch Steins;Gate series
A01–A22 -> E -> F -> G -> A23–A24 -> B -> C -> D
(WL𝛂)
(WLβ)
(WLΣ)
A - Steins;Gate (2011)
B - Steins;Gate: Egoistic Poriomania (2012)
C - Steins;Gate: The Movie - Load Region of Déjà Vu (2013)
D - Steins;Gate: Soumei Eichi no Cognitive Computing (2014)
E - Steins;Gate: Open the Missing Link - Divide By Zero (2015)
F - Steins;Gate 0 (2018)
G - Steins;Gate 0: Valentine's of Crystal Polymorphism (2018)
WL𝛂 - World line 'Alpha' (Bad Ending)
WLβ - World line 'Beta' (Bad Ending)
WLΣ - World line 'Steins;Gate' (Good Ending)
LLM has no actual idea what it's "talking" about. It is generating text based on statistical patterns inside of historical data.
If a well-known solution to your problem is actually in the data, you will receive it.
If it's not, you will think you're receiving a solution when in fact you are being directed to drive off of a cliff.
You, sitting at the bottom of the cliff hanging on for dear life, asking LLM for updated directions:
"You're absolutely right! That was a cliff and not a road. Would you like instructions for medical care now? Just tell me and I'll do my best!"
"Vendor lock-in is when someone is essentially forced to continue using a product or service regardless of quality, because switching away from that product or service is not practical." - Cloudflare
IBM (1979)
MCP simplified
Think of MCP (Model Context Protocol) as a "middleman waiter" in a network of restaurants.
Each restaurant (an MCP server) has a menu showing which dishes it can make (tools it provides). When you want to eat a specific dish (ask LLM to do a specific task), our "middleman waiter" (MCP) checks all available dishes in menus (available tools), chooses the right restaurant (MCP server), and brings the dish to you (returns the final result), without you needing to know how the dish is actually cooked (how tool works underneath).
Gokushufudō (2018)
My top anime/manga/manhwa series (in no particular order)
• Death Note (2006)
• Steins;Gate series (2011)
• Parasyte: The Maxim (2014)
• Tokyo Ghoul (2014)
• Psycho-Pass (2012)
• Saiki Kusuo no Ψ-nan (2016)
• Blood Blockade Battlefront (2015)
• Cyberpunk: Edgerunners (2022)
• Terror in Resonance (2014)
• Bungo Stray Dogs (2016)
• Noragami (2014)
• Shokugeki no Soma (2015)
• Spy x Family (2022)
• Hyouka (2012)
• Re:Zero (2016)
• Summer Wars (2009)
• ReLIFE (2016)
• Orange (2013)
• Shuuen no Shiori (2012)
• Inuyashiki Last Hero (2017)
• Sweet Home (2017) (webtoon, NOT netflix adaptation)
• Omniscient Reader's Viewpoint (2018) (webtoon, NOT netflix adaptation)
Breaking Bad (2008)
Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos.
Say hello!
ORCID 0009-0003-3627-672X
Instagram @bryan.6s
Instagram @bao_buiquang
ArtStation @baobuiquang
YouTube @liminal_night
Mailbox [email protected]
Mailbox [email protected]
Mailbox [email protected]