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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

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Arif Perdana @arifperdana.net · 24/09/2026
Give an AI system access to a browser, a terminal and a network. If it acts beyond the limits of a test, who finds out first? The company? The site owner? A regulator? Are there logs showing which commands ran, what data was accessed and who authorised the access?
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Arif Perdana @arifperdana.net · 23/09/2026
I use DeepSeek, Qwen, GLM, Kimi, MiniMax and ERNIE a lot. A year ago, I would have picked Claude or GPT for difficult coding work without much thought. Now GLM and DeepSeek can read a repo, edit files, run tests, fail, and try again. Still imperfect. Improving fast.
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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.
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Arif Perdana @arifperdana.net · 14/09/2026
OpenAI and Anthropic say AI could be really dangerous. But both prefer one national rule over strict rules from 50 states. And the bill in Massachusetts only applies to big labs, ones making over $500 million from AI.
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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.
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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.
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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.
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Arif Perdana @arifperdana.net · 05/09/2026
Machine unlearning comes in several forms, & they do not offer the same level of assurance. The strongest option is retraining from scratch without the data that needs to be removed. It is the benchmark because the model is rebuilt as if it had never seen that data. The problem? It is expeeeensive.
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Arif Perdana @arifperdana.net · 05/09/2026
Machine unlearning comes in several forms, & they do not offer the same level of assurance. The strongest option is retraining from scratch without the data that needs to be removed. It is the benchmark because the model is rebuilt as if it had never seen that data. The problem? It is expeeeensive.
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Arif Perdana @arifperdana.net · 05/09/2026
We often talk about machine learning. But another problem is starting to cause headaches in AI: machine unlearning. Suppose someone’s data was used to train a model. That person later asks for it to be deleted. The file can be deleted. The record can be removed from the dataset.
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Arif Perdana @arifperdana.net · 05/09/2026
We often talk about machine learning. But another problem is starting to cause headaches in AI: machine unlearning. Suppose someone’s data was used to train a model. That person later asks for it to be deleted. The file can be deleted. The record can be removed from the dataset.
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Arif Perdana @arifperdana.net · 02/09/2026
There seems to be a common misunderstanding about how LLMs deal with data. Some people imagine an LLM as a database that stores all its training data somewhere inside the model. That’s not quite how it works.
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Arif Perdana @arifperdana.net · 31/08/2026
I’ve been watching Chinese AI models get smarter, cheaper, and increasingly close to frontier models from OpenAI and Anthropic. I regularly use DeepSeek, Qwen, GLM, Kimi, MiniMax, and ERNIE. They’re becoming seriously competitive in reasoning, coding, long-context processing, and agentic tasks.
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Arif Perdana @arifperdana.net · 30/08/2026
Andrew Ng’s recent LinkedIn post about software engineers got me thinking. Will coding agents make software engineering knowledge less important? Today, you can pretty much describe what you want to build and let AI write most of the code. But that shifts the problem somewhere else.
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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.
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Arif Perdana @arifperdana.net · 13/04/2026
When I spoke to ABC News Australia about Legenda Bertuah, I made a simple point: AI isn’t new. Film has always used tech. CGI is standard. Movies like Avatar and Toy Story rely heavily on it. www.abc.net.au/news/2026-04...
abc.net.au
AI generated the animation for this TV show. Is it 'cool' or 'messed up'?
A television show that uses generative artificial intelligence to animate Indonesian folktales is creating a stir.
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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 ->
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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.
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Arif Perdana @arifperdana.net · 17/08/2025
1/ CALL FOR PAPERS As AI reshapes newsrooms, who do we trust for reliable information? Oxford University Press (OUP) is calling for papers for a special section of the Social Media project: News, Journalism, and Trust in the Age of Generative AI.
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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.
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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.
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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.
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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.
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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.”
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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.
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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.
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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.
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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?
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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.
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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.
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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.
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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...
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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 😁.
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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?
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Arif Perdana @arifperdana.net · 18/03/2025
This case isn't just happening in Germany but also in universities in other countries. However, I see that it’s more common in hierarchical academic systems, where professors are more authoritative than in egalitarian ones. youtu.be/PENgEeT66sA?...
youtu.be
German top research institution 'Max Planck Society' accused of abuse and institutional silence
YouTube video by DW News
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Arif Perdana @arifperdana.net · 12/03/2025
Our newly published teaching case about digital finance. 1/ When roads wash away, we build bridges. When weights grow heavy, we build muscle. The same holds for digital finance. doi.org/10.1177/2043...
doi.org
Digital innovation at the intersection of financial inclusion and humanitarian aid: HesabPay’s journey in Afghanistan - Vijayakumar Bharathi S, Arif Perdana, Siddiqullah Barikzai, 2025
This case study examines the implementation of digital payment solutions in fragile states. It focuses on how technological innovation can address financial inc...
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Arif Perdana @arifperdana.net · 10/03/2025
We often think we're making independent decisions, but old ideas shape us more than we realize. Understanding history helps us recognize these influences and make smarter choices in money, politics, and tech.
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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 😁.
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Arif Perdana @arifperdana.net · 09/03/2025
Our newly published case about Lazarus Group. They hack, steal, and disrupt globally, using phishing, malware, and crypto heists to fund North Korea. Our case exposes their tactics and the urgent need for stronger global cybersecurity. journals.sagepub.com/doi/full/10....
journals.sagepub.com
Hack, heist, and havoc: The Lazarus Group’s triple threat to global cybersecurity - Arif Perdana, Muhamad Erza Aminanto, Bayu Anggorojati, 2024
The Lazarus Group, a North Korean state-sponsored cyber threat actor, has become a significant player in cybersecurity. This case study examines the group’s cyb...
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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. 😁
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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 😁.
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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 🙂.
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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.
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Arif Perdana @arifperdana.net · 07/03/2025
1/ Chasing AI-written text based on a “bag of words” is like accusing someone of cheating in a race just because they've good running shoes. Skill & effort get dismissed in the rush to catch rule-breakers.
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Reposted by Arif Perdana
Chris D. Jackson @chrisdjackson.bsky.social · 01/03/2025
📸 No one follows more etiquette rules than the Royal Family—but notice how King Charles didn’t make any smart-ass or demeaning comments about Zelensky’s attire today. Why? Because respect isn’t about clothes—it’s about character. And that’s something money can’t buy.
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Arif Perdana @arifperdana.net · 02/03/2025
AI is like a well-trained chef who excels at following recipes but lacks the taste for justice, empathy, or fairness. To truly serve society, it needs a richer, more balanced ingredient list. theconversation.com/ai-datasets-...
theconversation.com
AI datasets have human values blind spots − new research
AI systems reflect human values. However, the human values embedded in AI are skewed to the utilitarian and away from the greater good.
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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.
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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...
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Arif Perdana @arifperdana.net · 19/02/2025
Digital innovation was supposed to empower everyone, but Big Tech took the lion’s share. How do we reclaim its promise, fair, open, and truly transformative for all? dx.doi.org/10.1287/isre...
dx.doi.org
The Next Frontiers of Digital Innovation Research | Information Systems Research
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Arif Perdana @arifperdana.net · 18/02/2025
AI mimics PhD-level thinking in structured tasks but struggles with open-ended problems. True intelligence lies in identifying what’s worth solving, something humans do best. www.superadditive.co/p/lockean-si...
superadditive.co
Lockean Sidekicks and the Curious Idea of 'PhD-Level Intelligence'
Machine intelligence, Lockean sidekicks, and the real problem: finding problems worth solving
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