penerbangtempur

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

Here are some recommendations for progressive policies analysis

I am so sad, @nadiemmakarim you will come out of it. Everyone in the world watching this closely, this is disheartening to see that even though simple logic doesn’t compute, prosecution still demanding harsher punishment compared to people who did heinous crimes marketing-interactive.com/nadiem-makarim…

TIL

Berikut video ulasan saya "Kasus Nadiem : BUAT APA ..?" Silahkan dikomentari, dibahas & disebarkan. Boleh dikutip media, boleh dibuat clip juga. Salam, Dino Patti Djalal #ididnotSignupforthis!

The importance of stupidity in scientific research:

Since last year, I've arguably been wrongfully accused in a state corruption case. To defend my innocence, I spent past 6 weeks building an agentic AI swarm that: Analyzed 4700+ pages court docs Mapped 8900+ testimonies Found dozens of contradictions This is how I fight 👇🏼 First off, some context may be necessary. Even though I'm accused in a state corruption case, I'm not a government official. I'm a software engineer. I spent over 15 years building large-scale tech systems across Europe and Indonesia. I've led engineering teams of up to 600 people and helped grow a small tech startup into a unicorn. In 2016, I moved back from Europe to Indonesia, because I believe technology at scale could make a real difference to the millions of people in the nation. Six years ago, working as a tech consultant under a nonprofit foundation, I started advising Indonesia's Ministry of Education on building large-scale technology platforms. Public sector work pays significantly less than private sector, and I took close to a 50% pay cut to make the switch. I was fine with that. Using what I knew to help underserved communities in Indonesia felt like the right trade. Our mission was to build a user-centric superapp for public education, specifically for teachers and public schools, the kind of work the private sector ignores because there's no money in it. At some point, officials at the ministry asked for my input on one of their procurement plans. I helped them work through the technical details, shared what I knew, laid out the pros and cons, and recommended a set of tests they should run to determine which options were the most suitable. By the time they made their final decision and executed the procurement, I had already resigned from the consulting work, so I didn't think much of it. Fast forward to May 2025. My house was raided as part of a newly opened corruption investigation tied to that procurement. Two months later, I was named a suspect and placed under city detention due to my health. The trial started in January 2026. We've been through more than a dozen sessions so far, and not a single piece of evidence or testimony has been presented showing I received a single cent from the procurement. What came to light was the opposite: evidence and testimony that my recommendations were neutral and likely were ultimately ignored by the ministry's own team, who went ahead and made the call on their own. So why am I the one on trial? Because the ministry officials who did take money from the procurement vendors needed someone to blame for the decisions they made. Blaming an outside consultant is the easy way out. Witness testimonies in court has shown that the officials actively directed the procurement while claiming it was done on my instructions and even misled their own team within the ministry by saying I held a position of authority. We needed evidence to dispute those accusations, questions to cross-examine the witnesses, and we needed them fast. This is where my AI comes in. A few days before the trial began, we received a 4400-page printed document containing all the witness statements collected during the investigation, plus several hundred pages of other related documents. The information asymmetry is staggering. Those with deep enough pockets to hire large law firms can throw dozens of paralegals and associates at a document like that and mount a proper defense on short notice. I didn't have that kind of money. By then, I had been out of work for more than six months. The AI startup I founded had to shut down. Our investors asked us to return their funding. I had to lay off the entire team. Most of my lawyers are friends of my wife from her college days, who stepped up and waived most of their fees because they could see I was being railroaded. The whole situation felt hopeless. But somewhere in the middle of the despair, a spark lit up. Combing through and analyzing thousands of pages of documents is exactly the kind of problem AI was built for. I've built AI systems before, so I know the key to applying AI to a real-world problem is understanding the strengths and limitations of the available models, and figuring out how to make things not just work, but work efficiently enough to put into production. I was placed under city detention due to health issues with my heart, compounded by a tumor that has been growing rapidly over the past few months. But it also means I still have access to my dev PC. So I started with small experiments. My lawyers found a printing service that could scan the thousands of pages in a couple of days. At first, I tried simply uploading the scanned PDF into existing chatbots like ChatGPT, but the file was far too large for anything they could handle. Even when I managed to get it working through external cloud storage, the results were atrocious. Half of the strategies and "facts" the models surfaced were hallucinations. That wouldn't just be useless in court, it's actively dangerous and can jeopardize my defense. My experience building complex AI systems told me that the key to reducing those hallucinations is better data preprocessing. So I spent the first couple of weeks focusing on parsing the uploaded PDFs, running various kinds of text extraction, and eventually settled on building an agentic AI swarm that performs multiple layers of preprocessing and analysis. This multi-step analysis by several AI agents that swarm the PDF and extract different aspects of the case produces a dense knowledge graph where we can even trace the flow of money involved. My lawyers can now easily browse, filter, and search through nearly 9000 witness statements. We even discovered several witnesses with duplicate testimony, raising suspicion of coordinated efforts or tampering among them. But I didn't stop there. The processing chain includes several higher-level intelligence layers that draw from all the signals in the extracted knowledge graph. These layers add semantic understanding that powers a Chat AI feature, where we can ask specific questions about the case and get grounded answers. I even built a self-reflective sub-agent that automatically challenges and inspects the results to make sure there are zero hallucinations. Overall, the AI has helped me and my legal team uncover the big picture of what actually happened, and build questions that span hundreds of separate testimony sessions, giving us an unprecedented ability to cross-examine witnesses in court and significantly improved our defenses. But I have grander vision than just helping my own legal team. Indonesia's legal system is severely overburdened, with a huge number of cases flowing through the courts every year. This kind of AI could be a useful tool not just for lawyers, but also for judges and prosecutors trying to make sense of their caseloads. With the cross-examinations we've conducted and the weight of evidence that has come to light, we are aiming for an acquittal. Should that be the case, my pledge is to keep building this AI platform into something that can meaningfully improve the quality of justice in our legal system: by helping investigators analyze cases more thoroughly and shine a light on any potential crimes, by raising the standard of what prosecutors bring before a judge, and by giving lawyers the ability to uncover the truth in their clients' cases faster than ever before. Because in the end, I want what I've built to help more than just myself. I believe it can ease the burden on our judges and raise the quality of justice across the system in Indonesia.

hot take: 9-5 with a high salary is better than owning your own business.

به نام نامی حیدر علیه‌السلام

Integrity is not about keeping quiet and following laws established by rulers, it is about standing up and speaking up against injustice especially when faced with great personal risks. Do not mistake integrity with obedience.

Wish Habibie lived long enough to see his ideas become mainstream. Habibienomics won, just not in Indonesia.

Never understood why some public officials treat a PhD like a checkbox. Its a research degree, not a status badge. A real PhD takes YEARS of deep work n research. If someone can run a full public office while “doing” one, either they r superhuman... or the standards arent what they should be..

Coba bayangin 10.000 orang main tebak-tebakan arah BTC besok. Naik atau turun. 50-50. Ronde pertama, ~5.000 orang bener. Sisanya salah. Ronde kedua, dari yang bener tadi, ~2.500 masih bener. Ronde ketiga, ~1.250. Ronde keempat, ~625. Ronde kelima, ~312 orang bener 5x berturut-turut. Nah. 312 orang ini sekarang ubah bio jadi "full time trader" Post makin percaya diri. Mulai ngajarin orang. Ngerasa punya "edge" yang orang lain nggak punya. Mereka yakin mereka genius. Dan lo,yang lagi nyari panutan, tentu percaya. Padahal dari awal, nggak ada skill. Yang ada cuma distribusi normal. Statistik. Probabilitas yang kebetulan jatuh ke mereka. Nassim Taleb udah tulis ini 20 tahun lalu di "Fooled by Randomness": kita secara sistematis buta terhadap peran keberuntungan. Otak manusia nggak di-design buat ngerti randomness jadi kita bikin cerita. "Dia emang jago." "Dia punya edge." "Dia beda." Crypto? Salah satu domain paling luck-driven yang pernah ada. Volatile. Unpredictable. Artinya? Tempat paling sempurna buat orang hoki ngerasa jadi genius. I've been there. We all have. Stay humble, before the market does it for you.

Twit di bawah ini, berikut chart BTC merupakan gambaran bahwa pasar keuangan merupakan sistem kompleks (complex system). Yaitu jaringan dari banyak komponen yang saling berinteraksi, dalam hal ini disebut agen/pelaku, yang secara kolektif menghasilkan perilaku, pola dan sifat-sifat yang muncul yang tidak ditemukan pada bagian individual mana pun. Sistem kompleks berciri nonlinieritas, self-organization serta adaptasi terhadap lingkungannya sehingga membuatnya sulit untuk dimodel dan diprediksi. Karena itu kemampuan seseorang atau lembaga dalam melakukan aktivitas yang terkait pasar keuangan, seperti trading atau pengelolaan dana lainnya tidak dapat semerta-merta dikaitkan dengan skill atau kepintaran seseorang. Menurut Mauboussin, investasi berada di spektrum kanan kegiatan, di mana hasilnya secara signifikan dikontribusikan oleh keberuntungan/luck. Tapi tentu saja tidak banyak orang yang bersedia mengakui hal tersebut. Seperti berulang kali dikatakan oleh Morgan Housel: "Luck plays such a big role in the world. But it’s hard to talk about. If I say you got lucky, I look jealous. If I tell myself that I got lucky, I feel diminished." Namun fakta itu tidak membuat beberapa orang kemudian menahan diri untuk tidak membuat prediksi atau ramalan mengenai pasar keuangan. Motivasinya bermacam-macam. Dari sekedar omon-omon kosong di media sosial untuk engagement farming, jualan kelas atau skill, hingga motivasi menggiring para plankton untuk menjadi santapan para paus. Itulah kenapa ada banyak influencer yang senang menciptakan visual kekayaan dengan flexing harta agar tercipta keterkaitan antara hasil dan skill. Intinya, karena gua kaya maka gua skillful/pintar. Dan itu dapat menciptakan kredibilitas semu yang dapat dipertontonkan kepada khalayak audiens di media sosial mereka yang mayoritas tidak kritis dan hanya mengangguk-angguk mengiyakan dan (mungkin) sambil bermimpi memiliki McLaren. Itulah juga kenapa mereka sering mengecilkan pentingnya edukasi (sekolah itu scam), berpikir kritis (ada skenario elit global), hingga menurunkan kredibilitas para kritikus mereka dengan merendahkan sertifikasi profesional dan mendorong argumen fallacious seperti "Kalau lo pintar, kenapa lo gak kaya." untuk menyerang mereka yang menyampaikan pernyataan yang dapat menurunkan kredibilitas mereka sebagai influencer. Mereka-mereka ini menurut saya merupakan enablers dari masalah praktik goreng-menggoreng dan berbagai akibat finansialnya bagi banyak investor retails. Mudah-mudahan segera ada tindakan yang tepat agar membuat kelompok semacam ini jera.

Teman-teman, saya Bayu, post di sini sebagai kuasa hukum Ibam 🙏🏼 Kami ingin berbagi apa yang terjadi pada persidangan minggu pertama Ibam. Ketika sidang, banyak fakta yang terungkap, baik dari saksi maupun barang bukti. 1/9🧵

HR: What is your notice period? Candidate: 60 days. HR: Is it negotiable? Candidate: No. HR: Sorry, we’re looking for someone who can join within 30 days. Candidate: May I ask a question? HR: Sure. Candidate: What’s the notice period in your company? HR: 90 days. Candidate: If someone resigns and requests to leave within 30 days, would you allow it? HR: No, we require time to find a replacement and ensure proper knowledge transfer. Candidate: Then why is it fair to expect new hires to join early when existing employees can’t leave early?

baru login udah ada keributan

You don't get to call yourself a founder just because you started building something. That's the biggest lie in startups. We’ve glorified the act of starting to the point where it obscures the only thing that matters: whether anyone wants what you're making. Founders confuse activity with purpose. They fall in love with building. They get addicted to progress that only exists inside their walls. Lines of code. User flows. Team rituals. Pitch decks. It's all insulation. A startup doesn’t exist to be built. It exists to manufacture demand. The only reason to write a line of code is to unlock a reason for someone to pay attention. And yet, most early founders don’t actually talk to customers. They talk about talking to customers. They hide behind metrics. They obsess over conversion rates before they’ve earned any attention. They A/B test the shade of a CTA button instead of figuring out what problem someone would crawl across glass to solve. They ship, but they don't listen. They launch, but they don’t learn. Here's the hard truth: you can raise money, hire a team, get press, hit a milestone, and still not be doing the actual job. If you're not creating customers, you're not running a company. You're roleplaying one. You’re not a founder until you’ve created something people want so badly that they ask you for it. That’s it. That’s the bar. It's not about innovation. It's not about vision. It’s about demand. Raw, unprompted, unpaid demand. Something so painful or exciting or magnetic that people would feel the absence of it if you disappeared. And this is why most founders quietly burn out. Not from lack of effort, but from building for too long without making contact with reality. It’s easy to believe you’re on a journey when you’ve never been forced to face the market. But the market doesn't care how hard you worked. It only cares whether you solved something it gives a shit about. So start there. If you can't make one person care, you're not ready to make ten. And if you can't make ten care, what are you doing asking a team to build for a hundred? The job is to create a customer. Every other job flows from that. Until then, you're just practicing.

This is a bad policy in my opinion. Unless the jakartan government is willing to make public transport free for ~80% of jakartan workers, then means-testing would just create arbitrariness over the beneficiaries. Not to mention potentially regressive in its distribution.