Sign in

Arif Perdana

@arifperdana.net
1.6K followers 4.5K following 659 posts

Author | Educator | Speaker | Digital Strategy | Data Science and Analytics | Interested in Philosophy, Photography, Music, Movie, and Tech | An Experienced Academic in Multiple Countries | No Scammers | Posts and Comments are on my own | arifperdana.net

PostsRepliesMedia
Arif Perdana @arifperdana.net · 22/09/2026
Does GenAI make people more innovative? Well… not so fast. This paper on software products has a fascinating finding. After LLMs arrived, developers did create more new products. The increase was around 34%. Sounds impressive.
100
Arif Perdana @arifperdana.net · 13/09/2026
Yoshua Bengio’s piece on AI agents lying, cheating, and coordinating with other agents reminded me of the old “cobra effect” story. The British wanted fewer cobras in India, so they paid people for dead cobras. Sounds reasonable. Then people started breeding cobras for the reward.
101
Arif Perdana @arifperdana.net · 08/09/2026
Andrew Ng’s recent LinkedIn post on software engineers got me thinking: will coding agents make software engineering knowledge less important? You can now describe an app and let AI write most of the code. That doesn’t remove the hard part. It moves it.
100
Arif Perdana @arifperdana.net · 08/09/2026
Andrew Ng’s recent LinkedIn post on software engineers got me thinking: will coding agents make software engineering knowledge less important? You can now describe an app and let AI write most of the code. That doesn’t remove the hard part. It moves it.
101
Arif Perdana @arifperdana.net · 26/04/2026
The core idea of our paper is pretty simple: clean up the mess in thousands of court decisions. They’re long, repetitive, and packed with formal language. The information is rich, but it’s hard to see any real pattern.
100
Arif Perdana @arifperdana.net · 14/01/2026
What if we stopped treating fairness in AI as a single technical target & started treating it as a moral choice shaped by context? Across criminal justice, finance, & healthcare, the same algorithmic tools produce very different kinds of harm ->
110
Arif Perdana @arifperdana.net · 02/01/2026
Call for Book Chapters | Springer Edited Volume Algorithmic Trust and Governance in Asia We invite chapter contributions examining how AI-driven decision-making is governed across healthcare, education, and finance in Asia.
111
Arif Perdana @arifperdana.net · 09/06/2025
1/ Large Reasoning Models (LRMs), advanced versions of ChatGPT is like asking two kids to solve a puzzle. The first one gives an answer right away without much thinking. The second tries to think it through, writing out each step. At first, the thoughtful one seems smarter.
120
Arif Perdana @arifperdana.net · 13/05/2025
Like a referee with no ego, AI gets the nod when customers mess up, it's quick, fair, and unemotional. But when the company’s at fault, customers want a human touch, someone who owns the mistake and says “sorry” like they mean it.
110
Arif Perdana @arifperdana.net · 07/05/2025
1/ Think about handling data like throwing a massive party. Traditional ways of organizing data are like carefully planning seats for each guest in advance, slow, inflexible, and stressful if unexpected guests show up.
120
Arif Perdana @arifperdana.net · 04/05/2025
This book brilliantly weaves tech, leadership, & geopolitics into one sharp narrative. 1/ The author’s analogy hits hard: imagine having the fastest car in the world, but the driver has no idea where to go.
100
Arif Perdana @arifperdana.net · 07/04/2025
Circular Reasoning: Logic That Spins Like a Top 1/ Imagine chatting with a friend who says, “I’m often late because that’s just who I am. Being late is my nature, so it’s normal I’m always late.” Premise: “I’m late because I’m the type who’s late.” Conclusion: “That’s why I’m late.”
310
Arif Perdana @arifperdana.net · 07/04/2025
1/ Logic is like a mental GPS. The major premise is the base, the minor premise is the starting point, and the conclusion is the goal. If the base is weak or the map is off, you’ll end up lost, even if the path looks straight.
510
Arif Perdana @arifperdana.net · 02/04/2025
1/ Imagine trying to predict tomorrow's weather using different tools. Our newly published paper essentially tested various "financial forecasting tools", from simple thermometers to advanced radar systems, to see which ones can best predict stock prices.
510
Arif Perdana @arifperdana.net · 31/03/2025
Few Citations, Thin Dissertation, Massive Impact 1/ Can a 26-page dissertation really change the world? In academia, where thick papers and endless citations are the norm, John Nash proved that sharp ideas matter more than page counts.
410
Arif Perdana @arifperdana.net · 30/03/2025
1/ Bill Gates’ statement that most jobs could be replaced by AI in less than 10 years brings both worry and hope. On one hand, AI promises efficiency, accuracy, and scalability. But on the other, it raises a critical question: can machines really take over all human roles?
500
Arif Perdana @arifperdana.net · 29/03/2025
This paper looked at whether sharing first authorship messes with how people judge your academic success, like when applying for jobs. Turns out, it doesn’t.
810
Arif Perdana @arifperdana.net · 28/03/2025
1/ Writing is how we push back against impermanence. In a world that’s constantly changing, stringing thoughts into words becomes a way to hold on, to keep what we’ve known, felt, and imagined from slipping away.
300
Arif Perdana @arifperdana.net · 27/03/2025
Back then, a single message was enough to make us pause and be fully present. No notification chimes, no red badges demanding attention. Life wasn’t rushed. It’s not about romanticizing the past, but a reminder that being connected doesn’t have to mean losing control of ourselves and our time.
010
Arif Perdana @arifperdana.net · 27/03/2025
Academia’s weird deal: publish or perish, but first, hand over your work, your time, and your wallet, so big publishers can gatekeep knowledge you paid to create. theconversation.com/academic-pub...
020
Arif Perdana @arifperdana.net · 26/03/2025
Talk to someone in your field and topic? War. Different field? Ghost. Same topic, different field? Wedding invite. Truly the most chaotic social structure ever made 😁.
000
Arif Perdana @arifperdana.net · 25/03/2025
Blending AI dev and data science is spinning off the GenAI Data Scientist role, paying up to $210K thanks to demand from Apple, SAP, Goldman. But is this really a new gig or just a rebrand?
000
Arif Perdana @arifperdana.net · 09/03/2025
"Tell me why" applies to everything from epistemology to why toddlers refuse to wear pants. Turns out, the search for truth unites us all: scholars, boy bands, and kids throwing tantrums 😁.
010
Arif Perdana @arifperdana.net · 08/03/2025
When your paper started as a simple canoe, but after enough revisions, it's now a flying cruise ship that defies both logic and gravity. Reviewer 2 must be real proud of this engineering marvel. 😁
010
Arif Perdana @arifperdana.net · 08/03/2025
The unspoken conference game: count how many times someone says 'framework' or 'paradigm' in their 'question.' The 'attempts to look clever' slice should be at least 75% bigger 😁.
000
Arif Perdana @arifperdana.net · 07/03/2025
Academic publishing is the only business where the workers do all the labor, pay to showcase their work, and then celebrate when someone else profits from it. Truly, a masterpiece of capitalism 🙂.
000
Arif Perdana @arifperdana.net · 07/03/2025
Academia is the only place where true love is expressed in track changes. ‘No revisions needed’ is basically a marriage proposal, and ‘minor revisions’ means they still see a future with you.
010
Arif Perdana @arifperdana.net · 01/03/2025
I do like Zelensky's gestures and firmness. A suit doesn't make a man, characters make a man.
000
Arif Perdana @arifperdana.net · 20/02/2025
Our paper has just been published. 1/ Algorithms now determine who gets loans, how fraud is detected, and how financial risks are managed. But they don’t just make systems more efficient, they also embed bias, reduce transparency, and introduce new risks. doi.org/10.1016/j.te...
510
Arif Perdana @arifperdana.net · 14/02/2025
1/ The paper describes two perspectives on critical thinking. The first is individual critical thinking, which involves analyzing information logically, considering different perspectives, and making informed decisions. It focuses on reasoning, evidence, and avoiding cognitive biases.
310
Arif Perdana @arifperdana.net · 12/02/2025
1/ Big Tech isn’t just playing the game, they’re rewriting the rules. This paper shows how companies like Google, Amazon, and Microsoft aren’t just tech giants; they’re policy powerhouses, shaping laws, regulations, and public debates to fit their interests.
230
Arif Perdana @arifperdana.net · 10/02/2025
AI is like autocorrect, but if you trust it blindly, you’ll send some weird messages. GenAI makes work easier by handling the heavy lifting, but it also tempts ppl to stop thinking critically. If you trust AI too much, you’ll question less. If you trust yourself more, you’ll double-check.
110
Arif Perdana @arifperdana.net · 01/02/2025
The rise of DeepSeek raises concerns about the U.S. losing AI leadership to China if open-source models become widely adopted. OpenAI’s potential shift could be partly influenced by the need to maintain global AI dominance and prevent developers from moving to Chinese alternatives.
020
Arif Perdana @arifperdana.net · 01/02/2025
Trying to ban AI in education is like banning calculators in math class, sure, you can do it, but it doesn’t prepare students for the real world. Instead of shutting the door on AI, we should be teaching students how to use it wisely.
420
Arif Perdana @arifperdana.net · 31/01/2025
1/ My op-ed on the Jakarta Post about a tech startup failure. Tech startup failures aren’t just an Indonesian thing, big names worldwide have crumbled due to weak governance, reckless spending, and bad leadership.
511
Arif Perdana @arifperdana.net · 30/01/2025
1/ Yeah, DeepSeek isn't really open source in the way most people think. It’s more of an "open weights" model. That means you can download and use the model's trained weights, but you don’t get access to everything that went into making it.
510
Arif Perdana @arifperdana.net · 30/01/2025
Funny how people freak out over AI like DeepSeek stealing data, but Microsoft just slides it into the T&Cs, and no one bats an eye. Default opt-in feels sneaky, shouldn’t “consent” mean actually choosing, not unchecking a box? See, this is in MS Words!
012
Arif Perdana @arifperdana.net · 30/01/2025
1/ AI isn’t here to replace financial analysts, it’s here to change how they work. Instead of spending hours crunching numbers, analysts can now focus on the bigger picture: interpret AI-generated insights, spotting risks AI might miss, & making strategic decisions. papers.ssrn.com/sol3/papers....
300
Arif Perdana @arifperdana.net · 30/01/2025
Now, the U.S. faces a choice: double down on secrecy or embrace open-source collaboration. If innovation thrives on openness, America must invest in AI research and support open science to stay ahead.
000
Arif Perdana @arifperdana.net · 30/01/2025
My colleagues and I edit a call for a book chapter on Digital Tech and Diversity, Equity, Inclusivity and Belonging. If you have a paper relevant to the theme, please send to us. Here is the detail of the call for book chapter. www.arifperdana.net/callforbookc...
051
Arif Perdana @arifperdana.net · 29/01/2025
AI is evolving fast, bringing both breakthroughs and risks. It’s unevenly developed, hard to regulate, and safety measures still lag. Policymakers must act wise, too soon stifles growth, too late invites chaos.
000
Arif Perdana @arifperdana.net · 29/01/2025
1/ "What doesn’t kill you makes you stronger." That seems to be the case for China and Iran. The U.S. tried to slow them down with sanctions, but instead, they doubled down on innovation.
310
Arif Perdana @arifperdana.net · 27/01/2025
1/ Polytechnics in Singapore vs. Other Countries: What’s the Difference? Let me elaborate in the thread.
1200
Arif Perdana @arifperdana.net · 26/01/2025
1/ Imagine standing before a funhouse mirror: it doesn’t show who we truly are, but rather a stretched, exaggerated version of ourselves. AI, the book argues, is just such a mirror, built from the collective habits and beliefs of its creators.
210
Arif Perdana @arifperdana.net · 26/01/2025
1/ What is the practical takeaway of this paper? It’s all about tackling the hidden biases that these systems often carry. These biases can sneak into important decisions, like hiring the right people, diagnosing patients, or even deciding who gets approved for loans. doi.org/10.1016/j.im...
300
Arif Perdana @arifperdana.net · 24/01/2025
1/ Throughout history, the powerful have always found ways to cozy up to governments, shaping policies in their favor. In the 19th century, railroad tycoons like Vanderbilt laid more than tracks, they built influence, lobbying for laws that cemented their dominance.
310
Arif Perdana @arifperdana.net · 12/01/2025
What makes a good AI prompt? This paper tells about it. It's more than just words. Adding examples, clear formatting, or assigning roles (like "act as a scientist") can make a huge difference in the output.
330
Arif Perdana @arifperdana.net · 10/01/2025
It may be a bit controversial to some extent, but worth to know how it works. This paper shows that Agent Laboratory showcases a breakthrough in accelerating research workflows by automating literature review, experimentation, and report writing, enabling researchers to focus on creative ideation.
400
Arif Perdana @arifperdana.net · 10/01/2025
AI is revolutionizing healthcare and biotechnology in ways we couldn't imagine a decade ago. A tool like DefensePredictor explain in the paper is pushing boundaries, not just in finding new bacterial defenses against viruses, but also in linking these systems to human immunity.
230
Arif Perdana @arifperdana.net · 07/01/2025
AI research isn’t always as reliable as it seems. Researchers sometimes use questionable practices (QRPs) to make their models look better. From training on test data to cherry-picking results, these shortcuts inflate performance, but hurt trust in AI. Let’s dive in. arxiv.org/pdf/2407.12220
500