Ronald Ishak

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Ronald Ishak

Ronald Ishak

@RonIshak

Jakarta, Indonesia Katılım Nisan 2008
670 Takip Edilen4.9K Takipçiler
mr-r0b0t
mr-r0b0t@mr_r0b0t·
Some information my @NousResearch Hermes Agent put together to help me prepare for running Deepseek V4 Flash locally!
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Jeoffrey
Jeoffrey@jeoste_·
@marclou Any meetup in sight in Seoul to have the chance to meet you and others fellow builders?👋 French Tech is one of the biggest here in 🇰🇷
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Marc Lou
Marc Lou@marclou·
The startup office is now in Korea 🇰🇷 I'll be there for a few weeks, and this is what I'm working on: ✔️ DataFast AI-first ✔️ New SaaS ✔️ New project I'm also training for my first Hyrox competition in 2 days. Excited!
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Alexander Whedon
Alexander Whedon@alex_whedon·
Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.
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Ronald Ishak
Ronald Ishak@RonIshak·
@stevibe Most likely using sakamakismile/Qwen3.6-27B-Text-NVFP4-MTP here?
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stevibe
stevibe@stevibe·
"Why are you benchmarking DGX Spark? It's a training box." Yeah. Low bandwidth, but 128GB of unified memory is just sitting there. Plenty of room to optimize. DGX Spark + Qwen3.6 27B. Four backend/quant combos: 🔴 llama.cpp + UD_Q4_K_XL > 11.0 tok/s (baseline), TTFT 297ms 🟢 llama.cpp + DFlash > 20.4 tok/s (peaks at 97 tok/s), TTFT 320ms 🟡 vLLM FP8 + MTP > 13.1 tok/s, TTFT 540ms 🟣 vLLM NVFP4 + MTP > 24.2 tok/s, TTFT 376ms NVFP4+MTP is the winner for me, rock stable around 24 tok/s, no wild swings. DFlash is the wildcard: massive peaks, but fluctuates a lot. FP8+MTP barely beats baseline, and it's FP8. Love my Spark.
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Google Research
Google Research@GoogleResearch·
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
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klöss
klöss@kloss_xyz·
imagine you’re Travis Kalanick you built Uber from nothing into a $70 billion company and changed how every city on earth moves then in the worst three weeks of your life, family tragedies hit, and five of your investors hand you a letter demanding you resign so you step down the board replaces you, your successor and board sell off the self driving division you created, the thing you believed was Uber’s entire future gone $4 billion to Aurora the mainstream media tries to write your obituary: toxic culture, bad leadership, and a cautionary tale silicon valley moves on as they always do but you don’t you don’t really forget you go quiet, completely quiet you take $150 million and buy a ghost kitchen company called CloudKitchens you raise over a billion dollars, hit a $15 billion valuation, build a company with thousands of employees and nobody even knows the name eight years in stealth, employees aren’t even allowed to put your company on their LinkedIn then today you rename the company Atoms, and it’s not a kitchen company anymore it’s a robotics company 1. food 2. mining 3. transport your first move? acquiring Pronto the autonomous vehicle startup built by Anthony Levandowski, the same engineer you originally swooped away from Google to build Uber’s self driving program oh and he went on to deploy 100+ autonomous trucks for one of the largest materials companies on earth now he’s coming back to work with you and the reports say Uber itself the same company that pushed you out, is now backing you to go after self driving harder than Waymo the guy they removed is the guy they end up needing poetic justice your framework aka everything in civilization is mined or grown, manufactured and moved you call it the golden age your manifesto ends with three words: “I never left” eight years of silence then this but here’s what people keep getting wrong about your situation everyone wants to call it a comeback or a revenge story it’s neither you just went quiet and built for eight years while everyone who wrote you off had stopped paying attention that’s not revenge, that’s just what true builder obsession looks like most founders would’ve stayed bitter most would’ve written a book and done a podcast tour, most would’ve taken the $2.5 billion in shares and disappeared off to a beach or Epstein’s island you didn’t do any of that you just kept building and now the same people who pushed you out need you again so whether you love him or hate him the most dangerous person in any room is the one who goes quiet yet never stops building karma is real welcome back Travis
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travis kalanick@travisk

Atoms. atoms.co/vision

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Ronald Ishak
Ronald Ishak@RonIshak·
@odd_joel is there a bug in the most recent version of Moshi that prevents scrolling the terminal buffer? Havent been able to scroll using both my iPhone and my iPad. Not sure what I’m doing wrong.
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Ronald Ishak
Ronald Ishak@RonIshak·
@ibamarief By far one of the coolest and meaningful use case of claude code in Indonesia!
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Ibrahim Arief
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.
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Ronald Ishak
Ronald Ishak@RonIshak·
@itsTimWijaya Mama Cantik Antar Anak Sekolah (aka Macan Ternak) has the strongest influence and buying power in indonesia!
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Tim Wijaya
Tim Wijaya@itsTimWijaya·
Gw baru ngobrol sama owner lapangan padel di Jakbar. > 70% of his revenue comes from ibu-ibu rumah tangga. Dari jam 10-5, court dia diborong sama ibu2 yang nungguin anak sekolah. Sukanya pake baju Lacoste, hire coach termahal, dan posting IG story. Young, trendy moms are a great customer segment -- (1) lots of free time & disposable income, (3) gampang FOMO dan (4) selalu mau keliatan muda & trendy. Mungkin next bisnis gua harus target mereka ya.
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Tim Wijaya
Tim Wijaya@itsTimWijaya·
My advice buat anak2 kuliah yang pengen maju: Mau kerja gratis > Cari founder/company you admire > Minta jadi unpaid intern > Put ego aside and lakuin apa aja Gua pernah kerja 2x tanpa dibayar di awal. Asal niat & hasilnya keliatan, pasti digaji sebelum bulan ketiga.
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Ronald Ishak
Ronald Ishak@RonIshak·
@ibamarief @gibranhuzaifah Gibran’s story is tragic, and I empathize with the weight he carried. But I reject the narrative that “all founders do this.” Many of us walk the harder road transparently, imperfectly, but truthfully. Integrity still exists in this game.
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Ibrahim Arief
Ibrahim Arief@ibamarief·
Disingenuous to claim that growth hacking in our tech industry is by fudging numbers Growth hacking shapes user behavior through product & marketing strategies, never by faking data Don't hide your growth hack skill issues by claiming "everyone is doing it" @gibranhuzaifah 🤨
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Ronald Ishak
Ronald Ishak@RonIshak·
@kaluwi @gibranhuzaifah What Gibran did was wrong, no doubt. But as a fellow founder, I can’t help but feel the crushing weight he must’ve carried — the pressure to keep the dream alive, the team afloat, the mission going. Sometimes, pressure distorts our compass.
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Kevin Aluwi
Kevin Aluwi@kaluwi·
I don't understand the motive for @gibranhuzaifah to throw other Indonesian founders under the bus on Bloomberg. "Everyone" is not doing it; only a tiny fraction of Indonesian founders commit fraud. The largest, most successful tech companies in Indonesia were started by people with very high ethical standards.
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Ronald Ishak
Ronald Ishak@RonIshak·
@itsTimWijaya Awesome thread Tim! I must be the tech CEO turned “bisnis padel court” in this thread 🤣
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Ronald Ishak
Ronald Ishak@RonIshak·
As I reflect on this past year, I’m reminded of Proverbs 16:3: “Commit to the Lord whatever you do, and He will establish your plans.” In the world of entrepreneurship, it’s easy to feel like everything rests on our shoulders—our decisions, our effort, our strategy. But this year has taught me that true success doesn’t come from striving alone. It comes from surrendering. From placing every idea, every challenge, every moment of doubt into God’s hands and trusting His perfect timing. Faith and work are not separate—they are intertwined. Every step I take in building and leading is an opportunity to lean on Him. When the path felt unclear, He provided direction. When challenges felt overwhelming, He gave strength. And when the wins came, I was reminded that every blessing flows from Him. As I enter this new year, my prayer is to keep walking in faith, not just by focusing on outcomes, but by remaining obedient in the process. To let my work be a reflection of His grace and to steward every opportunity He places before me with humility and purpose. Whatever you’re building—whether it’s a business, a team, or a vision—remember this: God is the ultimate builder. Commit your work to Him, and watch Him establish a foundation far greater than you could ever imagine. Here’s to another year of trusting, building, and glorifying Him through the work we do.
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AWP 🇵🇸
AWP 🇵🇸@adith_wp·
@sofyansetiawann Jadi inget kalo dulu (2017) pesen GoRide di depan Hacktiv8, belum ngepas di maps nya. Jadi pake patokannya Delta Spa 😭😂 Setiap abangnya dateng: "👀😏"
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Sofyan Setiawan
Sofyan Setiawan@sofyansetiawann·
Kangen sama gedung ini 😌
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Watcher.Guru
Watcher.Guru@WatcherGuru·
BREAKING: #Bitcoin reaches new all-time high of $73,850.
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Kevin Aluwi
Kevin Aluwi@kaluwi·
Belakangan banyak spekulasi mengenai alasan2 kenapa industri teknologi di Indonesia lesu. Suku bunga AS, kebanyakan bakar duit, kurang investor, dst. Semua itu ga salah, tapi akar dari masalahnya adalah: masyarakat Indonesia daya belinya masih rendah
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CZ 🔶 BNB
CZ 🔶 BNB@cz_binance·
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