PTR_CC @ptr_cc

Checked out the The Malaysian AI Show and Tell yesterday. Very happy to see people are building cool stuff

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The AWS Foundational Program is now open for applications! TalentLabs will run intensive, in-person training every month from July 2026 - FULLY FUNDED for eligible Malaysians. If you've been waiting for the right time to get AWS-certified, this is it! 📍bit.ly/4ez1mhC

they should lower the retirement age to 23

We’re back with Part 2 where we try to explain the how of ML. Makcik didn't just wake up knowing your order. There was a whole process. Swipe through. Five basic ML concepts and yes we brought more analogies. 🧠

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KL is way too hot 🫠

Most people use AI every day while confusing AI and Machine Learning as the same thing. Swipe through for Part 1, where we tell the difference, told through acik nasi lemak who already knows your order before you open your mouth.

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"You want what ingredients now?" Real, been there 🫠 probably will be there next week!

Wanita Data @WanitaData

2 weeks ago

The kuih lapis shop scaled into a factory. And with that came a whole new set of roles. AI job titles are even more confusing than the traditional ones. So we mapped them to the factory floor. Same analogy, bigger operation. Part 2 is here. Swipe through.

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The kuih lapis shop scaled into a factory. And with that came a whole new set of roles. AI job titles are even more confusing than the traditional ones. So we mapped them to the factory floor. Same analogy, bigger operation. Part 2 is here. Swipe through.

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Data job descriptions are daunting. They're written for people already in the field, not for someone still figuring out their path.

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This passage from Leo's Encyclical is perfect. Perfect.

CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.

Michal Malewicz @michalmalewicz

3 weeks ago

CEOs are the most delusional about AI. Detached from reality.

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Interesting idea

Dr. Chinasa T. Okolo @ChinasaTOkolo

4 weeks ago

Are you a Nigerian early-career AI policy & governance researcher? I’m piloting a career and research mentorship program through @technecultura. We’re curating a small cohort ready to engage in real-world research, contribute to global discourse, and become leading experts.

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Paper link: arxiv.org/abs/2510.01395

A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts. So she ran a study. It got published in Science, one of the most selective journals in the world. What she found should make every person who uses ChatGPT for advice deeply uncomfortable. Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations. The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead. Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described. The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding. The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months. Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight. Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now. She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.

UK officials destroyed files on one of the most brutal post-war conflicts they fought - the forgotten war for rubber in 1950s Malaya. It was to cover up their crimes - mass bombings, decapitations, lying, forced villageisation👇 declassifieduk.org/britains-forgo…

May the future belong to painters, potters, woodworkers, seamstresses, storytellers, bakers, gardeners, and people who still make things with their hands.

🥲

Enjoy being while becoming

May 13 is quiet in Malaysia. That is the problem. Today, I write that May 13 did not end in 1969. The racial riots of that year became more than a national tragedy. They became a way of governing. malaymail.com/news/what-you-…