MM

Sometimes I’m right, Sometimes I’m wrong. It’s only natural.

[MM @ijarre]

To be in this situation

[Cinema Mon Amour @AmourxCinema]

This is the best thing I am going to see today.

[✰ @slowwlifee]

fyodor dostoevsky once wrote “i want to talk about everything with at least one person the way I talk about things with myself”

[Uncle Ruckus @Emarged]

“Until death, all defeat is psychological."

[Resko★ @Bloke_Baz]

Either you want me to attend meetings or get my actual work done.

I can't do both.

[MM @ijarre]

@vegavatima @anggappnd @inighozi samehadaku

[ClaudeDevs @ClaudeDevs]

Over the past month, some of you reported Claude Code's quality had slipped. We investigated, and published a post-mortem on the three issues we found.

All are fixed in v2.1.116+ and we’ve reset usage limits for all subscribers.

[MM @ijarre]

Orang duitnya pada banyak2 amat yak

[wingstop churchill @kesetrump]

@txtdrkuliner Soalnya bahasa madura susah kl diketik

[Pradithya Aria Pura @pradithya_aria]

Gw mau cerita soal salah satu project paling wild yang pernah gue kerjain: Feast, open-source feature store yang lahir dari kebutuhan nyata di Gojek. 🧵

[Ibrahim Arief @ibamarief]

Keputusan & kajian Chromebook dibuat pejabat2 kementerian, yang kemudian "cuci tangan" bilang "dari konsultan"

Inilah FAKTA yang terungkap dalam persidangan

Ada 100+ jam fakta2 rekaman sidang yang perlu aku analisa, padahal sebulan lagi putusan

Saatnya fight bikin AI lagi 👇🏼

Seminggu terakhir ngga ada sidang karena pengadilan libur lebaran. Tapi bukan berarti aku bisa libur juga. Tinggal 35 hari lagi menuju sidang putusan, perkiraannya di 30 April 2026. ✍️

Dari menjalani sidang sebagai terdakwa, aku belajar bahwa fakta yang punya kekuatan hukum hanyalah yang diucapkan di bawah sumpah. Banyak pernyataan di BAP yang tidak bernilai kecuali diulang di bawah sumpah sidang.

Ini kenapa dalam sidang terbuka seperti perkaraku, advokat biasa rekam seluruh dialog persidangan. Supaya pas susun pledoi, bisa cek ulang apa yang saksi sebenarnya katakan. 🧐

Total rekaman sidangku sudah lebih dari 100 jam. 🤯 Masalahnya, banyak fakta penting terpendam di dalamnya, dan selama ini kita hanya bisa bergantung pada ingatan dan catatan sendiri untuk menebak di rekaman mana fakta tersebut terungkap.

Awalnya aku coba unggah rekaman2 itu ke aplikasi seperti NotebookLM, tapi volumenya terlalu besar, beberapa unggahan bahkan ditolak. Yang lebih mengkuatirkan, hasilnya sering halusinasi dan AI-nya tertukar siapa yang bicara apa. Hal seperti ini bisa fatal untuk pembelaan. 😔

Situasi ini mirip dengan beberapa bulan lalu, ketika aku terima dokumen 4.500+ halaman persiapan sidang. Mustahil bisa baca dan ingat semuanya dalam waktu memadai.

Ketika aku diskusi AI yang aku bangun dengan Pak Bambang Harymurti, mantan pemred Tempo, beliau cerita bahwa information overload seperti ini sangat dirasakan juga oleh hakim. ⚠️

Beliau cerita kalau majelis hakim sampai tingkat Mahkamah Agung bisa menghadapi ribuan kasus per tahun, setiap sidang bisa berlangsung dari pagi sampai malam, dan tidak semua dialog dalam sidang bisa dicatat rapi oleh panitera.

Di sini AI bisa bantu. Bukan hanya untuk advokat dan terdakwa, tapi juga berguna untuk meringankan beban majelis hakim dan penuntut umum sekalipun.

Agar berguna dan dapat digunakan semua pihak dalam persidangan, AI-nya butuh tiga kemampuan berikut:

1. Bikin transkrip yang cukup akurat dari rekaman Bahasa Indonesia, sampai ke level menit dan detik untuk setiap kata. ⏱️

2. Deteksi ketika pembicara berganti, misalnya dari perubahan nada suara. 💬

3. Identifikasi siapa yang sedang bicara, misalnya apakah yang sedang bertanya kepada para saksi adalah hakim atau advokat, dan saksi siapa yang menjawab. 🗣️

Kalau ketiga tahap itu terpenuhi, datanya tinggal diintegrasikan dengan AI yang pakai jaringan pengetahuan perkara yang sudah aku buat. Jadinya kita bisa langsung tanya apa yang terjadi di setiap persidangan, dan bahkan minta dibandingkan dengan isi BAP seluruh saksi.

Tapi permasalahan ini ngga mudah dan ngga murah. Salah satu tim advokatku bahkan sampai keluar Rp7 juta untuk alat rekam dan transkrip otomatis 😱 Namun sayangnya, banyak alat seperti itu yang akurasinya kurang bagus untuk Bahasa Indonesia.

Jadinya aku mulai eksplorasi, pertama-tama lewat instruksi ke AI coding assistant untuk riset berbagai model dari berbagai provider, pakai sampel rekaman persidanganku sendiri.

Tapi setelah aku tinggal mereka untuk riset semalaman, di pagi hari laporannya mengecewakan: Tidak ada satupun model AI yang bisa memenuhi ketiga kebutuhan di atas untuk Bahasa Indonesia.

Di titik ini rasanya ingin mengeluh, kenapa Indonesia banyak hambatan dibanding negara lain. Tapi mengeluh ngga bakal bantu pembelaanku 😅 Karena taruhannya meluruskan tuduhan dan mengembalikan kebebasanku, mau ngga mau solusinya harus dicari.

Akhirnya solusiku adalah: AI-nya dipecah jadi tiga tahap dengan tiga model berbeda.

Salah satu keuntungan bangun AI sendiri, kita bebas pilih model terbaik untuk setiap kebutuhan, dan AI yang aku bangun bisa jadi koordinator agar model2 tersebut saling gotong royong bangun hasil terbaik.

Sekarang alurnya jauh lebih enak 👇🏼 Tinggal daftarkan sidangnya, pilih nama2 saksi yang sudah terdeteksi dari BAP, dan unggah semua rekaman persidangan. Transkrip otomatis dibuat, lengkap dengan penanda waktu dan sudah dikelompokkan per pembicara.

[Sumbul Menuju Swasembada Token @bitxt]

tante: kamu kapan install openclaw?

[Ghozy Ul-Haq @ghozyulhaq]

Trilemma Gojek/Grab:

- Driver sejahtera
- Customer dapat layanan bagus & murah
- Perusahaan bisa sustain

You can only choose 2

Andai kalian dibayar ratusan juta perbulan buat mikir ini, solusi apa yg bakal kalian ambil?

[Hudya @perogeremmer]

Lah wong saya tanya "ini kenapa query triggernya ga langsung ngeupdate ke table x aja?"

jawabannya:
anu bentar pak, kemarin kata AI-nya...

Pake AI tapi lonya gapaham, ya lo kaga guna lah 🤦

[jam @sugarjammi]

Sex is a very intimate and sacred act

Your body is a temple and you shouldn't share it with someone who has a mac mini for openclaw

[MM @ijarre]

@AkiraXenotovia Tengs dudee

[MM @ijarre]

Here comes 29. Please be good

[Joseph Alessio @alessio_joseph]

BREAKING: Alysa Liu recently went viral for her statement on fonts.

"startups must stop using instrument serif for everything if they want to differentiate from the market. it's well beyond hypersaturation and results in immediate disqualification from the taste discourse"

[Ibrahim Arief @ibamarief]

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.

[MM @ijarre]

Things will get better ✌️

[MM @ijarre]

@sinnervideos Oh temanya ramadhan